=== Avatar Training (fire-and-forget) === Script: train_pi0fast.py Started: 2026-03-12 03:20:21 UTC >>> [0/4] Raising file descriptor limit... ulimit -n = 65536 >>> [1/4] Setting environment... HF_TOKEN set: 37 chars WANDB_API_KEY set: 0 chars >>> [2/4] Logging into HuggingFace... The token has not been saved to the git credentials helper. Pass `add_to_git_credential=True` in this function directly or `--add-to-git-credential` if using via `hf`CLI if you want to set the git credential as well. Token is valid (permission: write). The token `beta-pc` has been saved to /root/.cache/huggingface/stored_tokens Your token has been saved to /root/.cache/huggingface/token Login successful. Note: Environment variable`HF_TOKEN` is set and is the current active token independently from the token you've just configured. ⚠️ Warning: 'huggingface-cli login' is deprecated. Use 'hf auth login' instead. >>> [3/4] Pre-downloading pretrained model... Downloading avatarrobotics/pi0fast-orange-hook-right-b64-20260311-1759... Fetching 9 files: 0%| | 0/9 [00:00>> [4/4] Launching accelerate with 8 GPUs... Script: train_pi0fast.py Train args: --dataset orange_hook_right_20260310 --steps 100000 --batch-size 8 --lr 2e-5 --save-freq 5000 --push-to-hub --num-workers 8 --pretrained-path avatarrobotics/pi0fast-orange-hook-right-b64-20260311-1759 --task-text pick\ the\ orange\ rectangular\ package\ from\ the\ bin\ and\ then\ move\ to\ the\ conveyor\ that\ is\ moving\ target\ boxes\,\ drop\ the\ item The following values were not passed to `accelerate launch` and had defaults used instead: `--num_machines` was set to a value of `1` `--mixed_precision` was set to a value of `'no'` `--dynamo_backend` was set to a value of `'no'` To avoid this warning pass in values for each of the problematic parameters or run `accelerate config`. ============================================================ π₀-FAST Training ============================================================ Dataset: hamidavatar/orange_hook_right_20260310 Pretrained: avatarrobotics/pi0fast-orange-hook-right-b64-20260311-1759 Model repo: avatarrobotics/pi0fast-orange-hook-right-b64-20260312-0320 Steps: 100000 Batch/GPU: 8 (eff: 64) Chunk size: 10 LR: 2e-05 Save freq: 5000 GPUs: 8 ============================================================ lerobot_train \ --dataset.repo_id=hamidavatar/orange_hook_right_20260310 \ --policy.type=pi0_fast \ --policy.pretrained_path=avatarrobotics/pi0fast-orange-hook-right-b64-20260311-1759 \ --policy.repo_id=avatarrobotics/pi0fast-orange-hook-right-b64-20260312-0320 \ --policy.dtype=bfloat16 \ --policy.gradient_checkpointing=true \ --policy.chunk_size=10 \ --policy.n_action_steps=10 \ --policy.max_action_tokens=256 \ --policy.optimizer_lr=2e-05 \ --policy.optimizer_weight_decay=0.01 \ --policy.scheduler_warmup_steps=1000 \ --policy.scheduler_decay_steps=100000 \ --policy.scheduler_decay_lr=1e-6 \ --batch_size=8 \ --steps=100000 \ --save_freq=5000 \ --log_freq=100 \ --save_checkpoint=true \ --seed=1000 \ --num_workers=8 \ --output_dir=outputs/train/pi0fast \ --tolerance_s=2.0 \ --policy.push_to_hub=true \ --policy.private=true \ [Avatar] cudnn.benchmark=True, tf32=True [Avatar] Checkpoint push enabled → avatarrobotics/pi0fast-orange-hook-right-b64-20260312-0320 (with per-step tags) [Avatar] Dataset task text patched → "pick the orange rectangular package from the bin and then move to the conveyor that is moving target boxes, drop the item" [Avatar] Dataset timestamp tolerance set to 2.0s [Avatar] Installed corrupt-frame retry handler [Avatar] Checkpoint push enabled → avatarrobotics/pi0fast-orange-hook-right-b64-20260312-0320 (with per-step tags) [Avatar] Dataset task text patched → "pick the orange rectangular package from the bin and then move to the conveyor that is moving target boxes, drop the item" [Avatar] Dataset timestamp tolerance set to 2.0s [Avatar] Installed corrupt-frame retry handler [Avatar] Checkpoint push enabled → avatarrobotics/pi0fast-orange-hook-right-b64-20260312-0320 (with per-step tags) [Avatar] Dataset task text patched → "pick the orange rectangular package from the bin and then move to the conveyor that is moving target boxes, drop the item" [Avatar] Dataset timestamp tolerance set to 2.0s [Avatar] Installed corrupt-frame retry handler [Avatar] Checkpoint push enabled → avatarrobotics/pi0fast-orange-hook-right-b64-20260312-0320 (with per-step tags) [Avatar] Dataset task text patched → "pick the orange rectangular package from the bin and then move to the conveyor that is moving target boxes, drop the item" [Avatar] Dataset timestamp tolerance set to 2.0s [Avatar] Installed corrupt-frame retry handler [Avatar] Checkpoint push enabled → avatarrobotics/pi0fast-orange-hook-right-b64-20260312-0320 (with per-step tags) [Avatar] Dataset task text patched → "pick the orange rectangular package from the bin and then move to the conveyor that is moving target boxes, drop the item" [Avatar] Dataset timestamp tolerance set to 2.0s [Avatar] Installed corrupt-frame retry handler [Avatar] Checkpoint push enabled → avatarrobotics/pi0fast-orange-hook-right-b64-20260312-0320 (with per-step tags) [Avatar] Dataset task text patched → "pick the orange rectangular package from the bin and then move to the conveyor that is moving target boxes, drop the item" [Avatar] Dataset timestamp tolerance set to 2.0s [Avatar] Installed corrupt-frame retry handler [Avatar] Checkpoint push enabled → avatarrobotics/pi0fast-orange-hook-right-b64-20260312-0320 (with per-step tags) [Avatar] Dataset task text patched → "pick the orange rectangular package from the bin and then move to the conveyor that is moving target boxes, drop the item" [Avatar] Dataset timestamp tolerance set to 2.0s [Avatar] Installed corrupt-frame retry handler [Avatar] Checkpoint push enabled → avatarrobotics/pi0fast-orange-hook-right-b64-20260312-0320 (with per-step tags) [Avatar] Dataset task text patched → "pick the orange rectangular package from the bin and then move to the conveyor that is moving target boxes, drop the item" [Avatar] Dataset timestamp tolerance set to 2.0s [Avatar] Installed corrupt-frame retry handler WARNING:lerobot.configs.policies:Device 'None' is not available. Switching to 'cuda'. WARNING:lerobot.configs.policies:Device 'None' is not available. Switching to 'cuda'. WARNING:lerobot.configs.policies:Device 'None' is not available. Switching to 'cuda'. WARNING:lerobot.configs.policies:Device 'None' is not available. Switching to 'cuda'. WARNING:lerobot.configs.policies:Device 'None' is not available. Switching to 'cuda'. WARNING:lerobot.configs.policies:Device 'None' is not available. Switching to 'cuda'. WARNING:lerobot.configs.policies:Device 'None' is not available. Switching to 'cuda'. WARNING:lerobot.configs.policies:Device 'None' is not available. Switching to 'cuda'. INFO 2026-03-12 03:21:02 ot_train.py:197 {'batch_size': 8, 'checkpoint_path': None, 'dataset': {'episodes': None, 'image_transforms': {'enable': False, 'max_num_transforms': 3, 'random_order': False, 'tfs': {'affine': {'kwargs': {'degrees': [-5.0, 5.0], 'translate': [0.05, 0.05]}, 'type': 'RandomAffine', 'weight': 1.0}, 'brightness': {'kwargs': {'brightness': [0.8, 1.2]}, 'type': 'ColorJitter', 'weight': 1.0}, 'contrast': {'kwargs': {'contrast': [0.8, 1.2]}, 'type': 'ColorJitter', 'weight': 1.0}, 'hue': {'kwargs': {'hue': [-0.05, 0.05]}, 'type': 'ColorJitter', 'weight': 1.0}, 'saturation': {'kwargs': {'saturation': [0.5, 1.5]}, 'type': 'ColorJitter', 'weight': 1.0}, 'sharpness': {'kwargs': {'sharpness': [0.5, 1.5]}, 'type': 'SharpnessJitter', 'weight': 1.0}}}, 'repo_id': 'hamidavatar/orange_hook_right_20260310', 'revision': None, 'root': None, 'streaming': False, 'use_imagenet_stats': True, 'video_backend': 'torchcodec'}, 'env': None, 'eval': {'batch_size': 50, 'n_episodes': 50, 'use_async_envs': False}, 'eval_freq': 20000, 'job_name': 'pi0_fast', 'log_freq': 100, 'num_workers': 8, 'optimizer': {'betas': [0.9, 0.95], 'eps': 1e-08, 'grad_clip_norm': 1.0, 'lr': 2e-05, 'type': 'adamw', 'weight_decay': 0.01}, 'output_dir': 'outputs/train/pi0fast', 'peft': None, 'policy': {'action_expert_variant': 'gemma_300m', 'action_tokenizer_name': 'physical-intelligence/fast', 'chunk_size': 10, 'compile_mode': 'max-autotune', 'compile_model': False, 'device': 'cuda', 'dtype': 'bfloat16', 'empty_cameras': 0, 'fast_skip_tokens': 128, 'gradient_checkpointing': True, 'image_resolution': [224, 224], 'input_features': {}, 'license': None, 'max_action_dim': 32, 'max_action_tokens': 256, 'max_decoding_steps': 256, 'max_state_dim': 32, 'n_action_steps': 10, 'n_obs_steps': 1, 'normalization_mapping': {'ACTION': , 'STATE': , 'VISUAL': }, 'optimizer_betas': [0.9, 0.95], 'optimizer_eps': 1e-08, 'optimizer_grad_clip_norm': 1.0, 'optimizer_lr': 2e-05, 'optimizer_weight_decay': 0.01, 'output_features': {}, 'paligemma_variant': 'gemma_2b', 'pretrained_path': 'avatarrobotics/pi0fast-orange-hook-right-b64-20260311-1759', 'private': True, 'push_to_hub': True, 'repo_id': 'avatarrobotics/pi0fast-orange-hook-right-b64-20260312-0320', 'rtc_config': None, 'scheduler_decay_lr': 1e-06, 'scheduler_decay_steps': 100000, 'scheduler_warmup_steps': 1000, 'tags': None, 'temperature': 0.0, 'text_tokenizer_name': 'google/paligemma-3b-pt-224', 'tokenizer_max_length': 200, 'type': 'pi0_fast', 'use_amp': False, 'use_kv_cache': True, 'use_peft': False, 'validate_action_token_prefix': True}, 'rabc_epsilon': 1e-06, 'rabc_head_mode': 'sparse', 'rabc_kappa': 0.01, 'rabc_progress_path': None, 'rename_map': {}, 'resume': False, 'save_checkpoint': True, 'save_freq': 5000, 'scheduler': {'decay_lr': 1e-06, 'num_decay_steps': 100000, 'num_warmup_steps': 1000, 'peak_lr': 2e-05, 'type': 'cosine_decay_with_warmup'}, 'seed': 1000, 'steps': 100000, 'tolerance_s': 2.0, 'use_policy_training_preset': True, 'use_rabc': False, 'wandb': {'disable_artifact': False, 'enable': False, 'entity': None, 'mode': None, 'notes': None, 'project': 'lerobot', 'run_id': None}} INFO 2026-03-12 03:21:02 ot_train.py:205 Logs will be saved locally. INFO 2026-03-12 03:21:02 ot_train.py:217 Creating dataset Fetching 7 files: 0%| | 0/7 [00:00 tolerance_s=2, retrying with idx=51332 Training: 0%| | 22/100000 [00:20<19:20:21, 1.44step/s] Training: 0%| | 23/100000 [00:21<18:35:33, 1.49step/s] Training: 0%| | 24/100000 [00:21<18:13:43, 1.52step/s] Training: 0%| | 25/100000 [00:22<17:59:43, 1.54step/s] Training: 0%| | 26/100000 [00:23<17:57:22, 1.55step/s] Training: 0%| | 27/100000 [00:23<17:46:02, 1.56step/s] Training: 0%| | 28/100000 [00:24<17:42:31, 1.57step/s] Training: 0%| | 29/100000 [00:25<17:37:54, 1.57step/s] Training: 0%| | 30/100000 [00:25<18:57:59, 1.46step/s] Training: 0%| | 31/100000 [00:26<18:28:51, 1.50step/s] Training: 0%| | 32/100000 [00:27<18:13:04, 1.52step/s] Training: 0%| | 33/100000 [00:27<18:03:02, 1.54step/s] Training: 0%| | 34/100000 [00:28<17:58:00, 1.55step/s] Training: 0%| | 35/100000 [00:29<17:54:14, 1.55step/s] Training: 0%| | 36/100000 [00:29<17:56:01, 1.55step/s] Training: 0%| | 37/100000 [00:30<17:46:04, 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[03:35<18:43:18, 1.48step/s] Training: 0%| | 313/100000 [03:36<18:21:52, 1.51step/s] Training: 0%| | 314/100000 [03:36<18:06:19, 1.53step/s] Training: 0%| | 315/100000 [03:37<17:53:22, 1.55step/s] Training: 0%| | 316/100000 [03:38<17:31:21, 1.58step/s] Training: 0%| | 317/100000 [03:38<17:41:49, 1.56step/s] Training: 0%| | 318/100000 [03:39<18:45:10, 1.48step/s] Training: 0%| | 319/100000 [03:40<19:57:10, 1.39step/s] Training: 0%| | 320/100000 [03:40<19:14:20, 1.44step/s] Training: 0%| | 321/100000 [03:41<18:33:51, 1.49step/s] Training: 0%| | 322/100000 [03:42<18:15:59, 1.52step/s] Training: 0%| | 323/100000 [03:42<17:53:44, 1.55step/s] Training: 0%| | 324/100000 [03:43<17:37:27, 1.57step/s] Training: 0%| | 325/100000 [03:44<17:36:45, 1.57step/s] Training: 0%| | 326/100000 [03:44<18:58:20, 1.46step/s] Training: 0%| | 327/100000 [03:45<19:39:19, 1.41step/s] Training: 0%| | 328/100000 [03:46<18:59:47, 1.46step/s] Training: 0%| | 329/100000 [03:46<18:40:05, 1.48step/s] Training: 0%| | 330/100000 [03:47<18:17:36, 1.51step/s] Training: 0%| | 331/100000 [03:48<18:01:21, 1.54step/s] Training: 0%| | 332/100000 [03:48<17:46:45, 1.56step/s] Training: 0%| | 333/100000 [03:49<17:25:47, 1.59step/s] Training: 0%| | 334/100000 [03:50<18:42:30, 1.48step/s] Training: 0%| | 335/100000 [03:50<19:32:12, 1.42step/s] Training: 0%| | 336/100000 [03:51<18:54:44, 1.46step/s] Training: 0%| | 337/100000 [03:52<18:30:49, 1.50step/s] Training: 0%| | 338/100000 [03:52<18:20:33, 1.51step/s] Training: 0%| | 339/100000 [03:53<18:07:06, 1.53step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=54664 Training: 0%| | 340/100000 [03:54<18:08:24, 1.53step/s] Training: 0%| | 341/100000 [03:54<18:06:15, 1.53step/s] Training: 0%| | 342/100000 [03:55<19:24:07, 1.43step/s] Training: 0%| | 343/100000 [03:56<20:04:21, 1.38step/s] Training: 0%| | 344/100000 [03:57<19:10:43, 1.44step/s] 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1.55step/s] Training: 0%| | 363/100000 [04:09<17:29:42, 1.58step/s] Training: 0%| | 364/100000 [04:10<17:26:00, 1.59step/s] Training: 0%| | 365/100000 [04:10<17:14:45, 1.60step/s] Training: 0%| | 366/100000 [04:11<19:10:43, 1.44step/s] Training: 0%| | 367/100000 [04:12<19:48:22, 1.40step/s] Training: 0%| | 368/100000 [04:13<18:47:55, 1.47step/s] Training: 0%| | 369/100000 [04:13<18:10:39, 1.52step/s] Training: 0%| | 370/100000 [04:14<17:45:36, 1.56step/s] Training: 0%| | 371/100000 [04:14<17:37:57, 1.57step/s] Training: 0%| | 372/100000 [04:15<17:32:07, 1.58step/s] Training: 0%| | 373/100000 [04:16<17:37:35, 1.57step/s] Training: 0%| | 374/100000 [04:17<19:24:26, 1.43step/s] Training: 0%| | 375/100000 [04:17<19:52:55, 1.39step/s] Training: 0%| | 376/100000 [04:18<19:06:52, 1.45step/s] Training: 0%| | 377/100000 [04:19<18:46:52, 1.47step/s] Training: 0%| | 378/100000 [04:19<18:23:52, 1.50step/s] Training: 0%| | 379/100000 [04:20<18:12:18, 1.52step/s] Training: 0%| | 380/100000 [04:20<18:04:39, 1.53step/s] Training: 0%| | 381/100000 [04:21<17:53:23, 1.55step/s] Training: 0%| | 382/100000 [04:22<19:27:21, 1.42step/s] Training: 0%| | 383/100000 [04:23<20:18:53, 1.36step/s] Training: 0%| | 384/100000 [04:23<19:32:27, 1.42step/s] Training: 0%| | 385/100000 [04:24<18:52:42, 1.47step/s] Training: 0%| | 386/100000 [04:25<18:27:41, 1.50step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=8684 Training: 0%| | 387/100000 [04:25<17:54:37, 1.54step/s] Training: 0%| | 388/100000 [04:26<17:46:04, 1.56step/s] Training: 0%| | 389/100000 [04:26<17:39:26, 1.57step/s] Training: 0%| | 390/100000 [04:27<18:41:11, 1.48step/s] Training: 0%| | 391/100000 [04:28<19:44:34, 1.40step/s] Training: 0%| | 392/100000 [04:29<19:03:00, 1.45step/s] Training: 0%| | 393/100000 [04:29<18:41:26, 1.48step/s] Training: 0%| | 394/100000 [04:30<18:25:04, 1.50step/s] Training: 0%| | 395/100000 [04:31<18:12:53, 1.52step/s] Training: 0%| | 396/100000 [04:31<17:48:43, 1.55step/s] Training: 0%| | 397/100000 [04:32<17:37:40, 1.57step/s] Training: 0%| | 398/100000 [04:33<19:41:04, 1.41step/s] Training: 0%| | 399/100000 [04:34<20:34:31, 1.34step/s] Training: 0%| | 400/100000 [04:34<19:36:32, 1.41step/s]INFO 2026-03-12 03:26:50 ot_train.py:435 step:400 smpl:26K ep:87 epch:0.34 loss:0.917 grdn:26.595 lr:7.0e-06 updt_s:0.657 data_s:0.013 Training: 0%| | 401/100000 [04:35<19:05:01, 1.45step/s] Training: 0%| | 402/100000 [04:35<18:43:52, 1.48step/s] Training: 0%| | 403/100000 [04:36<18:29:48, 1.50step/s] Training: 0%| | 404/100000 [04:37<18:16:12, 1.51step/s] Training: 0%| | 405/100000 [04:37<18:11:55, 1.52step/s] Training: 0%| | 406/100000 [04:38<21:12:25, 1.30step/s] Training: 0%| | 407/100000 [04:39<21:20:18, 1.30step/s] Training: 0%| | 408/100000 [04:40<19:59:15, 1.38step/s] Training: 0%| | 409/100000 [04:40<19:04:49, 1.45step/s] Training: 0%| | 410/100000 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[05:29<18:44:18, 1.48step/s] Training: 0%| | 482/100000 [05:30<18:18:16, 1.51step/s] Training: 0%| | 483/100000 [05:30<18:01:54, 1.53step/s] Training: 0%| | 484/100000 [05:31<17:48:12, 1.55step/s] Training: 0%| | 485/100000 [05:32<17:41:49, 1.56step/s] Training: 0%| | 486/100000 [05:32<19:34:01, 1.41step/s] Training: 0%| | 487/100000 [05:33<20:03:02, 1.38step/s] Training: 0%| | 488/100000 [05:34<19:10:50, 1.44step/s] Training: 0%| | 489/100000 [05:34<18:37:37, 1.48step/s] Training: 0%| | 490/100000 [05:35<18:04:54, 1.53step/s] Training: 0%| | 491/100000 [05:36<17:46:34, 1.55step/s] Training: 0%| | 492/100000 [05:36<17:31:27, 1.58step/s] Training: 0%| | 493/100000 [05:37<17:38:30, 1.57step/s] Training: 0%| | 494/100000 [05:38<19:39:07, 1.41step/s] Training: 0%| | 495/100000 [05:39<20:27:25, 1.35step/s] Training: 0%| | 496/100000 [05:39<19:31:43, 1.42step/s] Training: 0%| | 497/100000 [05:40<18:54:39, 1.46step/s] Training: 0%| | 498/100000 [05:41<18:17:29, 1.51step/s] Training: 0%| | 499/100000 [05:41<18:01:19, 1.53step/s] Training: 0%| | 500/100000 [05:42<17:39:22, 1.57step/s]INFO 2026-03-12 03:27:58 ot_train.py:435 step:500 smpl:32K ep:109 epch:0.42 loss:0.776 grdn:22.436 lr:9.0e-06 updt_s:0.662 data_s:0.012 Training: 1%| | 501/100000 [05:42<17:42:12, 1.56step/s] Training: 1%| | 502/100000 [05:43<19:07:25, 1.45step/s] Training: 1%| | 503/100000 [05:44<19:49:03, 1.39step/s] Training: 1%| | 504/100000 [05:45<18:49:54, 1.47step/s] Training: 1%| | 505/100000 [05:45<18:14:17, 1.52step/s] Training: 1%| | 506/100000 [05:46<18:03:18, 1.53step/s] Training: 1%| | 507/100000 [05:46<17:55:30, 1.54step/s] Training: 1%| | 508/100000 [05:47<17:43:11, 1.56step/s] Training: 1%| | 509/100000 [05:48<17:41:29, 1.56step/s] Training: 1%| | 510/100000 [05:49<19:17:38, 1.43step/s] Training: 1%| | 511/100000 [05:49<20:13:34, 1.37step/s] Training: 1%| | 512/100000 [05:50<19:08:21, 1.44step/s] Training: 1%| | 513/100000 [05:51<18:33:31, 1.49step/s] Training: 1%| | 514/100000 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[06:39<18:21:37, 1.50step/s] Training: 1%| | 586/100000 [06:39<18:08:51, 1.52step/s] Training: 1%| | 587/100000 [06:40<17:49:51, 1.55step/s] Training: 1%| | 588/100000 [06:41<17:36:07, 1.57step/s] Training: 1%| | 589/100000 [06:41<17:31:37, 1.58step/s] Training: 1%| | 590/100000 [06:42<18:56:47, 1.46step/s] Training: 1%| | 591/100000 [06:43<20:06:34, 1.37step/s] Training: 1%| | 592/100000 [06:44<19:11:04, 1.44step/s] Training: 1%| | 593/100000 [06:44<18:44:51, 1.47step/s] Training: 1%| | 594/100000 [06:45<18:24:08, 1.50step/s] Training: 1%| | 595/100000 [06:45<18:02:21, 1.53step/s] Training: 1%| | 596/100000 [06:46<17:57:00, 1.54step/s] Training: 1%| | 597/100000 [06:47<17:49:04, 1.55step/s] Training: 1%| | 598/100000 [06:48<19:03:49, 1.45step/s] Training: 1%| | 599/100000 [06:48<20:00:58, 1.38step/s] Training: 1%| | 600/100000 [06:49<19:01:35, 1.45step/s]INFO 2026-03-12 03:29:05 ot_train.py:435 step:600 smpl:38K ep:131 epch:0.51 loss:0.743 grdn:20.053 lr:1.1e-05 updt_s:0.657 data_s:0.013 Training: 1%| | 601/100000 [06:50<18:22:39, 1.50step/s] Training: 1%| | 602/100000 [06:50<17:59:07, 1.54step/s] Training: 1%| | 603/100000 [06:51<17:52:25, 1.54step/s] Training: 1%| | 604/100000 [06:51<17:43:11, 1.56step/s] Training: 1%| | 605/100000 [06:52<17:32:43, 1.57step/s] Training: 1%| | 606/100000 [06:53<18:22:25, 1.50step/s] Training: 1%| | 607/100000 [06:54<19:29:37, 1.42step/s] Training: 1%| | 608/100000 [06:54<18:49:50, 1.47step/s] Training: 1%| | 609/100000 [06:55<18:19:45, 1.51step/s] Training: 1%| | 610/100000 [06:55<18:07:53, 1.52step/s] Training: 1%| | 611/100000 [06:56<17:49:57, 1.55step/s] Training: 1%| | 612/100000 [06:57<17:44:29, 1.56step/s] Training: 1%| | 613/100000 [06:57<17:26:25, 1.58step/s] Training: 1%| | 614/100000 [06:58<18:29:51, 1.49step/s] Training: 1%| | 615/100000 [06:59<19:39:59, 1.40step/s] Training: 1%| | 616/100000 [07:00<18:53:17, 1.46step/s] Training: 1%| | 617/100000 [07:00<18:24:17, 1.50step/s] Training: 1%| | 618/100000 [07:01<18:07:52, 1.52step/s] Training: 1%| | 619/100000 [07:01<17:55:16, 1.54step/s] Training: 1%| | 620/100000 [07:02<17:32:56, 1.57step/s] Training: 1%| | 621/100000 [07:03<17:35:22, 1.57step/s] Training: 1%| | 622/100000 [07:03<18:41:43, 1.48step/s] Training: 1%| | 623/100000 [07:04<19:42:10, 1.40step/s] Training: 1%| | 624/100000 [07:05<20:13:22, 1.37step/s] Training: 1%| | 625/100000 [07:06<19:08:53, 1.44step/s] Training: 1%| | 626/100000 [07:06<18:35:37, 1.48step/s] Training: 1%| | 627/100000 [07:07<18:19:48, 1.51step/s] Training: 1%| | 628/100000 [07:08<18:01:03, 1.53step/s] Training: 1%| | 629/100000 [07:08<17:40:00, 1.56step/s] Training: 1%| | 630/100000 [07:09<18:52:16, 1.46step/s] Training: 1%| | 631/100000 [07:10<19:33:57, 1.41step/s] Training: 1%| | 632/100000 [07:10<19:54:11, 1.39step/s] Training: 1%| | 633/100000 [07:11<19:08:28, 1.44step/s] Training: 1%| | 634/100000 [07:12<18:36:30, 1.48step/s] Training: 1%| | 635/100000 [07:12<18:19:15, 1.51step/s] Training: 1%| | 636/100000 [07:13<18:08:28, 1.52step/s] Training: 1%| | 637/100000 [07:14<17:45:45, 1.55step/s] Training: 1%| | 638/100000 [07:14<18:52:16, 1.46step/s] Training: 1%| | 639/100000 [07:15<19:52:04, 1.39step/s] Training: 1%| | 640/100000 [07:16<19:00:21, 1.45step/s] Training: 1%| | 641/100000 [07:16<18:28:02, 1.49step/s] Training: 1%| | 642/100000 [07:17<17:58:20, 1.54step/s] Training: 1%| | 643/100000 [07:18<17:43:47, 1.56step/s] Training: 1%| | 644/100000 [07:18<17:36:07, 1.57step/s] Training: 1%| | 645/100000 [07:19<17:29:37, 1.58step/s] Training: 1%| | 646/100000 [07:20<18:27:18, 1.50step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=3281 Training: 1%| | 647/100000 [07:20<19:50:25, 1.39step/s] Training: 1%| | 648/100000 [07:21<19:11:50, 1.44step/s] Training: 1%| | 649/100000 [07:22<18:49:03, 1.47step/s] Training: 1%| | 650/100000 [07:22<18:53:55, 1.46step/s] Training: 1%| | 651/100000 [07:23<18:40:17, 1.48step/s] Training: 1%| | 652/100000 [07:24<18:32:38, 1.49step/s] Training: 1%| | 653/100000 [07:24<18:23:55, 1.50step/s] Training: 1%| | 654/100000 [07:25<19:25:29, 1.42step/s] Training: 1%| | 655/100000 [07:26<20:40:39, 1.33step/s] Training: 1%| | 656/100000 [07:27<19:45:00, 1.40step/s] Training: 1%| | 657/100000 [07:27<19:01:10, 1.45step/s] Training: 1%| | 658/100000 [07:28<18:18:09, 1.51step/s] Training: 1%| | 659/100000 [07:29<17:57:31, 1.54step/s] Training: 1%| | 660/100000 [07:29<17:44:30, 1.56step/s] Training: 1%| | 661/100000 [07:30<17:38:52, 1.56step/s] Training: 1%| | 662/100000 [07:31<18:42:42, 1.47step/s] Training: 1%| | 663/100000 [07:31<19:34:40, 1.41step/s] Training: 1%| | 664/100000 [07:32<18:50:23, 1.46step/s] Training: 1%| | 665/100000 [07:33<18:21:46, 1.50step/s] Training: 1%| | 666/100000 [07:33<18:06:01, 1.52step/s] Training: 1%| | 667/100000 [07:34<17:52:44, 1.54step/s] Training: 1%| | 668/100000 [07:35<17:49:04, 1.55step/s] Training: 1%| | 669/100000 [07:35<17:40:58, 1.56step/s] Training: 1%| | 670/100000 [07:36<18:22:01, 1.50step/s] Training: 1%| | 671/100000 [07:37<19:10:28, 1.44step/s] Training: 1%| | 672/100000 [07:37<18:23:11, 1.50step/s] Training: 1%| | 673/100000 [07:38<18:00:36, 1.53step/s] Training: 1%| | 674/100000 [07:38<17:49:06, 1.55step/s] Training: 1%| | 675/100000 [07:39<17:45:55, 1.55step/s] Training: 1%| | 676/100000 [07:40<17:26:41, 1.58step/s] Training: 1%| | 677/100000 [07:40<17:26:42, 1.58step/s] Training: 1%| | 678/100000 [07:41<18:38:33, 1.48step/s] Training: 1%| | 679/100000 [07:42<19:32:40, 1.41step/s] Training: 1%| | 680/100000 [07:43<18:40:56, 1.48step/s] Training: 1%| | 681/100000 [07:43<18:03:38, 1.53step/s] Training: 1%| | 682/100000 [07:44<17:50:13, 1.55step/s] Training: 1%| | 683/100000 [07:44<17:37:41, 1.57step/s] Training: 1%| | 684/100000 [07:45<17:34:04, 1.57step/s] Training: 1%| | 685/100000 [07:46<17:38:11, 1.56step/s] Training: 1%| | 686/100000 [07:46<18:54:16, 1.46step/s] Training: 1%| | 687/100000 [07:47<19:46:40, 1.39step/s] Training: 1%| | 688/100000 [07:48<18:48:11, 1.47step/s] Training: 1%| | 689/100000 [07:48<18:19:16, 1.51step/s] Training: 1%| | 690/100000 [07:49<18:01:58, 1.53step/s] Training: 1%| | 691/100000 [07:50<17:59:13, 1.53step/s] Training: 1%| | 692/100000 [07:50<17:42:37, 1.56step/s] Training: 1%| | 693/100000 [07:51<17:32:44, 1.57step/s] Training: 1%| | 694/100000 [07:52<18:14:07, 1.51step/s] Training: 1%| | 695/100000 [07:52<19:14:40, 1.43step/s] Training: 1%| | 696/100000 [07:53<18:28:01, 1.49step/s] Training: 1%| | 697/100000 [07:54<17:57:43, 1.54step/s] Training: 1%| | 698/100000 [07:54<17:35:17, 1.57step/s] Training: 1%| | 699/100000 [07:55<17:30:06, 1.58step/s] Training: 1%| | 700/100000 [07:56<17:25:24, 1.58step/s]INFO 2026-03-12 03:30:11 ot_train.py:435 step:700 smpl:45K ep:152 epch:0.59 loss:0.662 grdn:17.960 lr:1.3e-05 updt_s:0.652 data_s:0.012 Training: 1%| | 701/100000 [07:56<17:20:50, 1.59step/s] Training: 1%| | 702/100000 [07:57<18:15:13, 1.51step/s] Training: 1%| | 703/100000 [07:58<19:19:15, 1.43step/s] Training: 1%| | 704/100000 [07:58<18:49:16, 1.47step/s] Training: 1%| | 705/100000 [07:59<18:23:33, 1.50step/s] Training: 1%| | 706/100000 [08:00<18:05:16, 1.52step/s] Training: 1%| | 707/100000 [08:00<17:59:03, 1.53step/s] Training: 1%| | 708/100000 [08:01<17:55:03, 1.54step/s] Training: 1%| | 709/100000 [08:02<17:56:25, 1.54step/s] Training: 1%| | 710/100000 [08:02<19:20:20, 1.43step/s] Training: 1%| | 711/100000 [08:03<20:13:04, 1.36step/s] Training: 1%| | 712/100000 [08:04<19:33:49, 1.41step/s] Training: 1%| | 713/100000 [08:04<18:53:22, 1.46step/s] Training: 1%| | 714/100000 [08:05<18:17:37, 1.51step/s] Training: 1%| | 715/100000 [08:06<18:01:07, 1.53step/s] Training: 1%| | 716/100000 [08:06<17:44:32, 1.55step/s] Training: 1%| | 717/100000 [08:07<17:40:36, 1.56step/s] Training: 1%| | 718/100000 [08:08<18:48:12, 1.47step/s] Training: 1%| | 719/100000 [08:09<19:46:42, 1.39step/s] Training: 1%| | 720/100000 [08:09<19:03:22, 1.45step/s] Training: 1%| | 721/100000 [08:10<18:26:32, 1.50step/s] Training: 1%| | 722/100000 [08:10<18:00:59, 1.53step/s] Training: 1%| | 723/100000 [08:11<17:34:02, 1.57step/s] Training: 1%| | 724/100000 [08:12<17:28:46, 1.58step/s] Training: 1%| | 725/100000 [08:12<17:27:55, 1.58step/s] Training: 1%| | 726/100000 [08:13<19:01:19, 1.45step/s] Training: 1%| | 727/100000 [08:14<19:49:41, 1.39step/s] Training: 1%| | 728/100000 [08:14<18:58:00, 1.45step/s] Training: 1%| | 729/100000 [08:15<18:34:10, 1.48step/s] Training: 1%| | 730/100000 [08:16<18:10:50, 1.52step/s] Training: 1%| | 731/100000 [08:16<17:55:13, 1.54step/s] Training: 1%| | 732/100000 [08:17<17:44:51, 1.55step/s] Training: 1%| | 733/100000 [08:18<17:34:40, 1.57step/s] Training: 1%| | 734/100000 [08:18<18:14:06, 1.51step/s] Training: 1%| | 735/100000 [08:19<19:11:21, 1.44step/s] Training: 1%| | 736/100000 [08:20<18:30:35, 1.49step/s] Training: 1%| | 737/100000 [08:20<18:15:12, 1.51step/s] Training: 1%| | 738/100000 [08:21<17:55:05, 1.54step/s] Training: 1%| | 739/100000 [08:22<17:42:51, 1.56step/s] Training: 1%| | 740/100000 [08:22<17:41:36, 1.56step/s] Training: 1%| | 741/100000 [08:23<17:33:45, 1.57step/s] Training: 1%| | 742/100000 [08:24<18:34:40, 1.48step/s] Training: 1%| | 743/100000 [08:24<19:31:54, 1.41step/s] Training: 1%| | 744/100000 [08:25<18:50:50, 1.46step/s] Training: 1%| | 745/100000 [08:26<18:21:28, 1.50step/s] Training: 1%| | 746/100000 [08:26<17:56:55, 1.54step/s] Training: 1%| | 747/100000 [08:27<17:43:01, 1.56step/s] Training: 1%| | 748/100000 [08:28<17:22:32, 1.59step/s] Training: 1%| | 749/100000 [08:28<17:20:30, 1.59step/s] Training: 1%| | 750/100000 [08:29<18:28:26, 1.49step/s] Training: 1%| | 751/100000 [08:30<19:29:05, 1.41step/s] Training: 1%| | 752/100000 [08:30<18:46:19, 1.47step/s] Training: 1%| | 753/100000 [08:31<18:23:33, 1.50step/s] Training: 1%| | 754/100000 [08:32<18:11:07, 1.52step/s] Training: 1%| | 755/100000 [08:32<18:01:05, 1.53step/s] Training: 1%| | 756/100000 [08:33<17:46:09, 1.55step/s] Training: 1%| | 757/100000 [08:33<17:41:55, 1.56step/s] Training: 1%| | 758/100000 [08:34<18:55:54, 1.46step/s] Training: 1%| | 759/100000 [08:35<19:59:47, 1.38step/s] Training: 1%| | 760/100000 [08:36<19:08:04, 1.44step/s] Training: 1%| | 761/100000 [08:36<18:41:35, 1.47step/s] Training: 1%| | 762/100000 [08:37<18:24:22, 1.50step/s] Training: 1%| | 763/100000 [08:38<18:12:05, 1.51step/s] Training: 1%| | 764/100000 [08:38<17:52:43, 1.54step/s] Training: 1%| | 765/100000 [08:39<17:42:06, 1.56step/s] Training: 1%| | 766/100000 [08:40<18:57:04, 1.45step/s] Training: 1%| | 767/100000 [08:41<20:02:49, 1.37step/s] Training: 1%| | 768/100000 [08:41<19:06:45, 1.44step/s] Training: 1%| | 769/100000 [08:42<18:38:22, 1.48step/s] Training: 1%| | 770/100000 [08:42<18:29:20, 1.49step/s] Training: 1%| | 771/100000 [08:43<18:27:45, 1.49step/s] Training: 1%| | 772/100000 [08:44<18:07:21, 1.52step/s] Training: 1%| | 773/100000 [08:44<17:46:53, 1.55step/s] Training: 1%| | 774/100000 [08:45<19:05:58, 1.44step/s] Training: 1%| | 775/100000 [08:46<19:49:14, 1.39step/s] Training: 1%| | 776/100000 [08:47<19:07:30, 1.44step/s] Training: 1%| | 777/100000 [08:47<18:37:03, 1.48step/s] Training: 1%| | 778/100000 [08:48<18:14:13, 1.51step/s] Training: 1%| | 779/100000 [08:48<17:54:04, 1.54step/s] Training: 1%| | 780/100000 [08:49<17:43:05, 1.56step/s] Training: 1%| | 781/100000 [08:50<17:33:35, 1.57step/s] Training: 1%| | 782/100000 [08:50<18:54:17, 1.46step/s] Training: 1%| | 783/100000 [08:51<19:42:40, 1.40step/s] Training: 1%| | 784/100000 [08:52<19:00:15, 1.45step/s] Training: 1%| | 785/100000 [08:53<18:28:43, 1.49step/s] Training: 1%| | 786/100000 [08:53<18:00:14, 1.53step/s] Training: 1%| | 787/100000 [08:54<17:47:50, 1.55step/s] Training: 1%| | 788/100000 [08:54<17:34:20, 1.57step/s] Training: 1%| | 789/100000 [08:55<17:30:20, 1.57step/s] Training: 1%| | 790/100000 [08:56<18:36:25, 1.48step/s] Training: 1%| | 791/100000 [08:57<19:19:52, 1.43step/s] Training: 1%| | 792/100000 [08:57<18:26:42, 1.49step/s] Training: 1%| | 793/100000 [08:58<17:55:18, 1.54step/s] Training: 1%| | 794/100000 [08:58<17:41:44, 1.56step/s] Training: 1%| | 795/100000 [08:59<17:38:55, 1.56step/s] Training: 1%| | 796/100000 [09:00<17:32:56, 1.57step/s] Training: 1%| | 797/100000 [09:00<17:17:15, 1.59step/s] Training: 1%| | 798/100000 [09:01<18:11:09, 1.52step/s] Training: 1%| | 799/100000 [09:02<19:24:04, 1.42step/s] Training: 1%| | 800/100000 [09:02<18:31:41, 1.49step/s]INFO 2026-03-12 03:31:18 ot_train.py:435 step:800 smpl:51K ep:174 epch:0.68 loss:0.627 grdn:17.628 lr:1.5e-05 updt_s:0.654 data_s:0.012 Training: 1%| | 801/100000 [09:03<18:05:18, 1.52step/s] Training: 1%| | 802/100000 [09:04<17:48:10, 1.55step/s] Training: 1%| | 803/100000 [09:04<17:36:52, 1.56step/s] Training: 1%| | 804/100000 [09:05<17:36:50, 1.56step/s] Training: 1%| | 805/100000 [09:06<17:29:03, 1.58step/s] Training: 1%| | 806/100000 [09:06<18:39:50, 1.48step/s] Training: 1%| | 807/100000 [09:07<20:09:32, 1.37step/s] Training: 1%| | 808/100000 [09:08<19:16:02, 1.43step/s] Training: 1%| | 809/100000 [09:08<18:37:35, 1.48step/s] Training: 1%| | 810/100000 [09:09<18:02:33, 1.53step/s] Training: 1%| | 811/100000 [09:10<17:48:06, 1.55step/s] Training: 1%| | 812/100000 [09:10<17:31:22, 1.57step/s] Training: 1%| | 813/100000 [09:11<17:30:07, 1.57step/s] Training: 1%| | 814/100000 [09:12<18:40:00, 1.48step/s] Training: 1%| | 815/100000 [09:12<20:01:07, 1.38step/s] Training: 1%| | 816/100000 [09:13<19:09:09, 1.44step/s] Training: 1%| | 817/100000 [09:14<18:34:47, 1.48step/s] Training: 1%| | 818/100000 [09:14<18:08:14, 1.52step/s] Training: 1%| | 819/100000 [09:15<17:57:21, 1.53step/s] Training: 1%| | 820/100000 [09:16<17:41:01, 1.56step/s] Training: 1%| | 821/100000 [09:16<17:24:20, 1.58step/s] Training: 1%| | 822/100000 [09:17<18:15:46, 1.51step/s] Training: 1%| | 823/100000 [09:18<19:17:49, 1.43step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=17081 Training: 1%| | 824/100000 [09:18<18:35:35, 1.48step/s] Training: 1%| | 825/100000 [09:19<17:58:59, 1.53step/s] Training: 1%| | 826/100000 [09:20<17:34:23, 1.57step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=27434 Training: 1%| | 827/100000 [09:20<17:33:08, 1.57step/s] Training: 1%| | 828/100000 [09:21<17:39:21, 1.56step/s] Training: 1%| | 829/100000 [09:22<17:47:06, 1.55step/s] Training: 1%| | 830/100000 [09:22<18:39:05, 1.48step/s] Training: 1%| | 831/100000 [09:23<19:43:37, 1.40step/s] Training: 1%| | 832/100000 [09:24<19:14:00, 1.43step/s] Training: 1%| | 833/100000 [09:24<18:46:02, 1.47step/s] Training: 1%| | 834/100000 [09:25<18:19:08, 1.50step/s] Training: 1%| | 835/100000 [09:26<17:53:28, 1.54step/s] Training: 1%| | 836/100000 [09:26<17:44:23, 1.55step/s] Training: 1%| | 837/100000 [09:27<17:38:21, 1.56step/s] Training: 1%| | 838/100000 [09:28<18:53:50, 1.46step/s] Training: 1%| | 839/100000 [09:28<19:48:52, 1.39step/s] Training: 1%| | 840/100000 [09:29<18:50:13, 1.46step/s] Training: 1%| | 841/100000 [09:30<18:21:36, 1.50step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=29228 Training: 1%| | 842/100000 [09:30<18:04:41, 1.52step/s] Training: 1%| | 843/100000 [09:31<17:50:48, 1.54step/s] Training: 1%| | 844/100000 [09:32<17:29:38, 1.57step/s] Training: 1%| | 845/100000 [09:32<17:12:43, 1.60step/s] Training: 1%| | 846/100000 [09:33<18:33:19, 1.48step/s] Training: 1%| | 847/100000 [09:34<19:35:08, 1.41step/s] Training: 1%| | 848/100000 [09:34<18:42:53, 1.47step/s] Training: 1%| | 849/100000 [09:35<18:21:22, 1.50step/s] Training: 1%| | 850/100000 [09:36<18:04:06, 1.52step/s] Training: 1%| | 851/100000 [09:36<17:42:26, 1.56step/s] Training: 1%| | 852/100000 [09:37<17:36:05, 1.56step/s] Training: 1%| | 853/100000 [09:37<17:31:17, 1.57step/s] Training: 1%| | 854/100000 [09:38<18:41:30, 1.47step/s] Training: 1%| | 855/100000 [09:39<19:32:35, 1.41step/s] Training: 1%| | 856/100000 [09:40<18:37:36, 1.48step/s] Training: 1%| | 857/100000 [09:40<18:10:15, 1.52step/s] Training: 1%| | 858/100000 [09:41<17:52:34, 1.54step/s] Training: 1%| | 859/100000 [09:41<17:37:28, 1.56step/s] Training: 1%| | 860/100000 [09:42<17:17:30, 1.59step/s] Training: 1%| | 861/100000 [09:43<17:18:48, 1.59step/s] Training: 1%| | 862/100000 [09:43<18:06:24, 1.52step/s] Training: 1%| | 863/100000 [09:44<19:03:34, 1.44step/s] Training: 1%| | 864/100000 [09:45<18:23:48, 1.50step/s] Training: 1%| | 865/100000 [09:45<18:02:43, 1.53step/s] Training: 1%| | 866/100000 [09:46<17:54:01, 1.54step/s] Training: 1%| | 867/100000 [09:47<17:38:56, 1.56step/s] Training: 1%| | 868/100000 [09:47<17:25:48, 1.58step/s] Training: 1%| | 869/100000 [09:48<17:19:49, 1.59step/s] Training: 1%| | 870/100000 [09:49<18:37:20, 1.48step/s] Training: 1%| | 871/100000 [09:50<19:21:00, 1.42step/s] Training: 1%| | 872/100000 [09:50<18:44:56, 1.47step/s] Training: 1%| | 873/100000 [09:51<18:25:29, 1.49step/s] Training: 1%| | 874/100000 [09:51<18:00:07, 1.53step/s] Training: 1%| | 875/100000 [09:52<17:48:35, 1.55step/s] Training: 1%| | 876/100000 [09:53<17:34:08, 1.57step/s] Training: 1%| | 877/100000 [09:53<17:24:34, 1.58step/s] Training: 1%| | 878/100000 [09:54<18:26:44, 1.49step/s] Training: 1%| | 879/100000 [09:55<19:34:21, 1.41step/s] Training: 1%| | 880/100000 [09:55<18:50:56, 1.46step/s] Training: 1%| | 881/100000 [09:56<18:20:05, 1.50step/s] Training: 1%| | 882/100000 [09:57<17:49:17, 1.54step/s] Training: 1%| | 883/100000 [09:57<17:41:06, 1.56step/s] Training: 1%| | 884/100000 [09:58<17:31:58, 1.57step/s] Training: 1%| | 885/100000 [09:59<17:31:07, 1.57step/s] Training: 1%| | 886/100000 [09:59<18:26:31, 1.49step/s] Training: 1%| | 887/100000 [10:00<19:31:10, 1.41step/s] Training: 1%| | 888/100000 [10:01<19:00:02, 1.45step/s] Training: 1%| | 889/100000 [10:01<18:39:50, 1.48step/s] Training: 1%| | 890/100000 [10:02<18:30:21, 1.49step/s] Training: 1%| | 891/100000 [10:03<18:23:19, 1.50step/s] Training: 1%| | 892/100000 [10:03<18:20:03, 1.50step/s] Training: 1%| | 893/100000 [10:04<18:06:47, 1.52step/s] Training: 1%| | 894/100000 [10:05<18:56:30, 1.45step/s] Training: 1%| | 895/100000 [10:06<19:57:07, 1.38step/s] Training: 1%| | 896/100000 [10:06<18:59:33, 1.45step/s] Training: 1%| | 897/100000 [10:07<18:20:37, 1.50step/s] Training: 1%| | 898/100000 [10:07<18:10:21, 1.51step/s] Training: 1%| | 899/100000 [10:08<17:50:21, 1.54step/s] Training: 1%| | 900/100000 [10:09<17:38:53, 1.56step/s]INFO 2026-03-12 03:32:25 ot_train.py:435 step:900 smpl:58K ep:196 epch:0.76 loss:0.583 grdn:16.236 lr:1.7e-05 updt_s:0.649 data_s:0.012 Training: 1%| | 901/100000 [10:09<17:33:11, 1.57step/s] Training: 1%| | 902/100000 [10:10<18:53:30, 1.46step/s] Training: 1%| | 903/100000 [10:11<19:34:40, 1.41step/s] Training: 1%| | 904/100000 [10:12<19:51:53, 1.39step/s] Training: 1%| | 905/100000 [10:12<19:01:34, 1.45step/s] Training: 1%| | 906/100000 [10:13<18:27:31, 1.49step/s] Training: 1%| | 907/100000 [10:14<18:05:39, 1.52step/s] Training: 1%| | 908/100000 [10:14<17:43:36, 1.55step/s] Training: 1%| | 909/100000 [10:15<17:25:40, 1.58step/s] Training: 1%| | 910/100000 [10:16<18:36:08, 1.48step/s] Training: 1%| | 911/100000 [10:16<19:14:02, 1.43step/s] Training: 1%| | 912/100000 [10:17<20:06:14, 1.37step/s] Training: 1%| | 913/100000 [10:18<19:18:00, 1.43step/s] Training: 1%| | 914/100000 [10:18<18:48:23, 1.46step/s] Training: 1%| | 915/100000 [10:19<18:26:06, 1.49step/s] Training: 1%| | 916/100000 [10:20<18:02:39, 1.53step/s] Training: 1%| | 917/100000 [10:20<17:38:01, 1.56step/s] Training: 1%| | 918/100000 [10:21<18:52:54, 1.46step/s] Training: 1%| | 919/100000 [10:22<19:39:21, 1.40step/s] Training: 1%| | 920/100000 [10:23<20:04:52, 1.37step/s] Training: 1%| | 921/100000 [10:23<19:01:41, 1.45step/s] Training: 1%| | 922/100000 [10:24<18:32:32, 1.48step/s] Training: 1%| | 923/100000 [10:24<18:10:40, 1.51step/s] Training: 1%| | 924/100000 [10:25<17:46:07, 1.55step/s] Training: 1%| | 925/100000 [10:26<17:34:07, 1.57step/s] Training: 1%| | 926/100000 [10:26<18:34:18, 1.48step/s] Training: 1%| | 927/100000 [10:27<19:21:23, 1.42step/s] Training: 1%| | 928/100000 [10:28<19:36:28, 1.40step/s] Training: 1%| | 929/100000 [10:29<18:58:45, 1.45step/s] Training: 1%| | 930/100000 [10:29<18:24:14, 1.50step/s] Training: 1%| | 931/100000 [10:30<18:06:13, 1.52step/s] Training: 1%| | 932/100000 [10:30<17:47:31, 1.55step/s] Training: 1%| | 933/100000 [10:31<17:34:09, 1.57step/s] Training: 1%| | 934/100000 [10:32<18:38:45, 1.48step/s] Training: 1%| | 935/100000 [10:33<19:19:48, 1.42step/s] Training: 1%| | 936/100000 [10:33<19:45:09, 1.39step/s] Training: 1%| | 937/100000 [10:34<19:03:54, 1.44step/s] Training: 1%| | 938/100000 [10:35<18:16:42, 1.51step/s] Training: 1%| | 939/100000 [10:35<18:00:11, 1.53step/s] Training: 1%| | 940/100000 [10:36<17:47:03, 1.55step/s] Training: 1%| | 941/100000 [10:36<17:43:49, 1.55step/s] Training: 1%| | 942/100000 [10:37<18:46:24, 1.47step/s] Training: 1%| | 943/100000 [10:38<19:48:18, 1.39step/s] Training: 1%| | 944/100000 [10:39<19:30:47, 1.41step/s] Training: 1%| | 945/100000 [10:39<18:52:50, 1.46step/s] Training: 1%| | 946/100000 [10:40<18:33:20, 1.48step/s] Training: 1%| | 947/100000 [10:41<18:18:24, 1.50step/s] Training: 1%| | 948/100000 [10:41<17:53:05, 1.54step/s] Training: 1%| | 949/100000 [10:42<18:00:35, 1.53step/s] Training: 1%| | 950/100000 [10:43<19:25:54, 1.42step/s] Training: 1%| | 951/100000 [10:44<20:50:59, 1.32step/s] Training: 1%| | 952/100000 [10:44<20:45:36, 1.33step/s] Training: 1%| | 953/100000 [10:45<19:49:07, 1.39step/s] Training: 1%| | 954/100000 [10:46<19:04:34, 1.44step/s] Training: 1%| | 955/100000 [10:46<18:34:54, 1.48step/s] Training: 1%| | 956/100000 [10:47<18:17:03, 1.50step/s] Training: 1%| | 957/100000 [10:48<18:03:50, 1.52step/s] Training: 1%| | 958/100000 [10:48<18:48:58, 1.46step/s] Training: 1%| | 959/100000 [10:49<19:42:13, 1.40step/s] Training: 1%| | 960/100000 [10:50<20:00:28, 1.38step/s] Training: 1%| | 961/100000 [10:50<19:15:33, 1.43step/s] Training: 1%| | 962/100000 [10:51<18:47:47, 1.46step/s] Training: 1%| | 963/100000 [10:52<18:23:54, 1.50step/s] Training: 1%| | 964/100000 [10:52<18:09:27, 1.52step/s] Training: 1%| | 965/100000 [10:53<17:45:10, 1.55step/s] Training: 1%| | 966/100000 [10:54<18:49:44, 1.46step/s] Training: 1%| | 967/100000 [10:55<19:42:37, 1.40step/s] Training: 1%| | 968/100000 [10:55<20:16:43, 1.36step/s] Training: 1%| | 969/100000 [10:56<19:24:53, 1.42step/s] Training: 1%| | 970/100000 [10:57<18:52:17, 1.46step/s] Training: 1%| | 971/100000 [10:57<18:19:44, 1.50step/s] Training: 1%| | 972/100000 [10:58<18:11:26, 1.51step/s] Training: 1%| | 973/100000 [10:59<17:40:46, 1.56step/s] Training: 1%| | 974/100000 [10:59<18:40:21, 1.47step/s] Training: 1%| | 975/100000 [11:00<19:39:20, 1.40step/s] Training: 1%| | 976/100000 [11:01<19:23:58, 1.42step/s] Training: 1%| | 977/100000 [11:01<18:34:24, 1.48step/s] Training: 1%| | 978/100000 [11:02<17:58:40, 1.53step/s] Training: 1%| | 979/100000 [11:03<17:49:03, 1.54step/s] Training: 1%| | 980/100000 [11:03<17:24:52, 1.58step/s] Training: 1%| | 981/100000 [11:04<17:19:01, 1.59step/s] Training: 1%| | 982/100000 [11:05<18:16:40, 1.50step/s] Training: 1%| | 983/100000 [11:05<19:30:20, 1.41step/s] Training: 1%| | 984/100000 [11:06<19:58:32, 1.38step/s] Training: 1%| | 985/100000 [11:07<18:57:19, 1.45step/s] Training: 1%| | 986/100000 [11:07<18:34:12, 1.48step/s] Training: 1%| | 987/100000 [11:08<18:17:25, 1.50step/s] Training: 1%| | 988/100000 [11:09<18:09:17, 1.51step/s] Training: 1%| | 989/100000 [11:09<17:50:25, 1.54step/s] Training: 1%| | 990/100000 [11:10<18:43:28, 1.47step/s] Training: 1%| | 991/100000 [11:11<19:42:33, 1.40step/s] Training: 1%| | 992/100000 [11:12<20:01:14, 1.37step/s] Training: 1%| | 993/100000 [11:12<19:19:37, 1.42step/s] Training: 1%| | 994/100000 [11:13<18:47:29, 1.46step/s] Training: 1%| | 995/100000 [11:14<18:26:22, 1.49step/s] Training: 1%| | 996/100000 [11:14<18:09:56, 1.51step/s] Training: 1%| | 997/100000 [11:15<18:00:23, 1.53step/s] Training: 1%| | 998/100000 [11:16<18:54:41, 1.45step/s] Training: 1%| | 999/100000 [11:16<19:34:19, 1.41step/s] Training: 1%| | 1000/100000 [11:17<20:08:23, 1.37step/s]INFO 2026-03-12 03:33:33 ot_train.py:435 step:1K smpl:64K ep:218 epch:0.85 loss:0.591 grdn:15.917 lr:1.9e-05 updt_s:0.670 data_s:0.013 Training: 1%| | 1001/100000 [11:18<19:14:07, 1.43step/s] Training: 1%| | 1002/100000 [11:18<18:23:48, 1.49step/s] Training: 1%| | 1003/100000 [11:19<18:01:21, 1.53step/s] Training: 1%| | 1004/100000 [11:20<17:46:01, 1.55step/s] Training: 1%| | 1005/100000 [11:20<17:37:54, 1.56step/s] Training: 1%| | 1006/100000 [11:21<19:10:16, 1.43step/s] Training: 1%| | 1007/100000 [11:22<20:04:49, 1.37step/s] Training: 1%| | 1008/100000 [11:23<20:02:27, 1.37step/s] Training: 1%| | 1009/100000 [11:23<19:16:22, 1.43step/s] Training: 1%| | 1010/100000 [11:24<18:43:08, 1.47step/s] Training: 1%| | 1011/100000 [11:24<18:18:48, 1.50step/s] Training: 1%| | 1012/100000 [11:25<18:01:48, 1.53step/s] Training: 1%| | 1013/100000 [11:26<17:57:12, 1.53step/s] Training: 1%| | 1014/100000 [11:27<19:22:12, 1.42step/s] Training: 1%| | 1015/100000 [11:27<20:04:20, 1.37step/s] Training: 1%| | 1016/100000 [11:28<20:38:13, 1.33step/s] Training: 1%| | 1017/100000 [11:29<19:35:48, 1.40step/s] Training: 1%| | 1018/100000 [11:29<18:48:41, 1.46step/s] Training: 1%| | 1019/100000 [11:30<18:10:06, 1.51step/s] Training: 1%| | 1020/100000 [11:31<17:53:15, 1.54step/s] Training: 1%| | 1021/100000 [11:31<17:42:33, 1.55step/s] Training: 1%| | 1022/100000 [11:32<18:30:23, 1.49step/s] Training: 1%| | 1023/100000 [11:33<19:37:36, 1.40step/s] Training: 1%| | 1024/100000 [11:34<20:18:52, 1.35step/s] Training: 1%| | 1025/100000 [11:34<19:13:13, 1.43step/s] Training: 1%| | 1026/100000 [11:35<18:25:52, 1.49step/s] Training: 1%| | 1027/100000 [11:35<18:01:40, 1.53step/s] Training: 1%| | 1028/100000 [11:36<17:50:59, 1.54step/s] Training: 1%| | 1029/100000 [11:37<17:30:38, 1.57step/s] Training: 1%| | 1030/100000 [11:37<18:38:53, 1.47step/s] Training: 1%| | 1031/100000 [11:38<19:36:53, 1.40step/s] Training: 1%| | 1032/100000 [11:39<19:52:32, 1.38step/s] Training: 1%| | 1033/100000 [11:40<19:04:48, 1.44step/s] Training: 1%| | 1034/100000 [11:40<18:33:29, 1.48step/s] Training: 1%| | 1035/100000 [11:41<18:13:04, 1.51step/s] Training: 1%| | 1036/100000 [11:42<18:02:06, 1.52step/s] Training: 1%| | 1037/100000 [11:42<17:51:50, 1.54step/s] Training: 1%| | 1038/100000 [11:43<18:44:49, 1.47step/s] Training: 1%| | 1039/100000 [11:44<19:32:22, 1.41step/s] Training: 1%| | 1040/100000 [11:44<19:42:16, 1.40step/s] Training: 1%| | 1041/100000 [11:45<18:55:48, 1.45step/s] Training: 1%| | 1042/100000 [11:46<18:20:19, 1.50step/s] Training: 1%| | 1043/100000 [11:46<17:47:55, 1.54step/s] Training: 1%| | 1044/100000 [11:47<17:35:15, 1.56step/s] Training: 1%| | 1045/100000 [11:48<17:19:30, 1.59step/s] Training: 1%| | 1046/100000 [11:48<18:38:39, 1.47step/s] Training: 1%| | 1047/100000 [11:49<19:41:35, 1.40step/s] Training: 1%| | 1048/100000 [11:50<20:09:18, 1.36step/s] Training: 1%| | 1049/100000 [11:51<19:25:06, 1.42step/s] Training: 1%| | 1050/100000 [11:51<18:41:49, 1.47step/s] Training: 1%| | 1051/100000 [11:52<18:19:01, 1.50step/s] Training: 1%| | 1052/100000 [11:52<17:49:26, 1.54step/s] Training: 1%| | 1053/100000 [11:53<17:35:51, 1.56step/s] Training: 1%| | 1054/100000 [11:54<18:29:32, 1.49step/s] Training: 1%| | 1055/100000 [11:55<19:31:20, 1.41step/s] Training: 1%| | 1056/100000 [11:55<19:48:28, 1.39step/s] Training: 1%| | 1057/100000 [11:56<19:02:45, 1.44step/s] Training: 1%| | 1058/100000 [11:57<18:30:48, 1.48step/s] Training: 1%| | 1059/100000 [11:57<18:15:28, 1.51step/s] Training: 1%| | 1060/100000 [11:58<17:44:27, 1.55step/s] Training: 1%| | 1061/100000 [11:58<17:33:35, 1.57step/s] Training: 1%| | 1062/100000 [11:59<18:44:07, 1.47step/s] Training: 1%| | 1063/100000 [12:00<19:48:10, 1.39step/s] Training: 1%| | 1064/100000 [12:01<20:18:34, 1.35step/s] Training: 1%| | 1065/100000 [12:01<19:30:30, 1.41step/s] Training: 1%| | 1066/100000 [12:02<18:56:55, 1.45step/s] Training: 1%| | 1067/100000 [12:03<18:26:15, 1.49step/s] Training: 1%| | 1068/100000 [12:03<18:07:51, 1.52step/s] Training: 1%| | 1069/100000 [12:04<17:51:40, 1.54step/s] Training: 1%| | 1070/100000 [12:05<19:02:31, 1.44step/s] Training: 1%| | 1071/100000 [12:06<19:54:48, 1.38step/s] Training: 1%| | 1072/100000 [12:06<19:37:48, 1.40step/s] Training: 1%| | 1073/100000 [12:07<18:54:13, 1.45step/s] Training: 1%| | 1074/100000 [12:08<18:22:49, 1.50step/s] Training: 1%| | 1075/100000 [12:08<18:12:07, 1.51step/s] Training: 1%| | 1076/100000 [12:09<17:59:26, 1.53step/s] Training: 1%| | 1077/100000 [12:09<17:49:45, 1.54step/s] Training: 1%| | 1078/100000 [12:10<18:34:09, 1.48step/s] Training: 1%| | 1079/100000 [12:11<19:29:40, 1.41step/s] Training: 1%| | 1080/100000 [12:12<19:41:01, 1.40step/s] Training: 1%| | 1081/100000 [12:12<18:46:23, 1.46step/s] Training: 1%| | 1082/100000 [12:13<18:15:24, 1.51step/s] Training: 1%| | 1083/100000 [12:14<18:05:59, 1.52step/s] Training: 1%| | 1084/100000 [12:14<17:54:29, 1.53step/s] Training: 1%| | 1085/100000 [12:15<17:33:10, 1.57step/s] Training: 1%| | 1086/100000 [12:16<18:21:28, 1.50step/s] Training: 1%| | 1087/100000 [12:16<19:30:58, 1.41step/s] Training: 1%| | 1088/100000 [12:17<20:03:19, 1.37step/s] Training: 1%| | 1089/100000 [12:18<19:10:27, 1.43step/s] Training: 1%| | 1090/100000 [12:18<18:36:01, 1.48step/s] Training: 1%| | 1091/100000 [12:19<18:08:41, 1.51step/s] Training: 1%| | 1092/100000 [12:20<17:51:03, 1.54step/s] Training: 1%| | 1093/100000 [12:20<17:42:36, 1.55step/s] Training: 1%| | 1094/100000 [12:21<18:45:23, 1.46step/s] Training: 1%| | 1095/100000 [12:22<19:29:58, 1.41step/s] Training: 1%| | 1096/100000 [12:23<20:02:07, 1.37step/s] Training: 1%| | 1097/100000 [12:23<19:09:06, 1.43step/s] Training: 1%| | 1098/100000 [12:24<18:33:59, 1.48step/s] Training: 1%| | 1099/100000 [12:24<18:22:00, 1.50step/s] Training: 1%| | 1100/100000 [12:25<18:01:13, 1.52step/s]INFO 2026-03-12 03:34:41 ot_train.py:435 step:1K smpl:70K ep:240 epch:0.93 loss:0.589 grdn:16.037 lr:2.0e-05 updt_s:0.666 data_s:0.012 Training: 1%| | 1101/100000 [12:26<17:40:04, 1.55step/s] Training: 1%| | 1102/100000 [12:26<18:50:41, 1.46step/s] Training: 1%| | 1103/100000 [12:27<19:40:49, 1.40step/s] Training: 1%| | 1104/100000 [12:28<19:39:09, 1.40step/s] Training: 1%| | 1105/100000 [12:29<19:04:25, 1.44step/s] Training: 1%| | 1106/100000 [12:29<18:37:58, 1.47step/s] Training: 1%| | 1107/100000 [12:30<18:10:17, 1.51step/s] Training: 1%| | 1108/100000 [12:31<17:49:30, 1.54step/s] Training: 1%| | 1109/100000 [12:31<17:37:22, 1.56step/s] Training: 1%| | 1110/100000 [12:32<18:47:11, 1.46step/s] Training: 1%| | 1111/100000 [12:33<19:35:47, 1.40step/s] Training: 1%| | 1112/100000 [12:33<20:03:04, 1.37step/s] Training: 1%| | 1113/100000 [12:34<19:00:57, 1.44step/s] Training: 1%| | 1114/100000 [12:35<18:27:37, 1.49step/s] Training: 1%| | 1115/100000 [12:35<18:11:31, 1.51step/s] Training: 1%| | 1116/100000 [12:36<17:50:55, 1.54step/s] Training: 1%| | 1117/100000 [12:37<17:37:11, 1.56step/s] Training: 1%| | 1118/100000 [12:37<18:10:41, 1.51step/s] Training: 1%| | 1119/100000 [12:38<19:18:05, 1.42step/s] Training: 1%| | 1120/100000 [12:39<19:58:47, 1.37step/s] Training: 1%| | 1121/100000 [12:40<19:12:57, 1.43step/s] Training: 1%| | 1122/100000 [12:40<18:43:22, 1.47step/s] Training: 1%| | 1123/100000 [12:41<18:15:00, 1.50step/s] Training: 1%| | 1124/100000 [12:41<18:04:55, 1.52step/s] Training: 1%| | 1125/100000 [12:42<17:44:36, 1.55step/s] Training: 1%| | 1126/100000 [12:43<18:53:17, 1.45step/s] Training: 1%| | 1127/100000 [12:44<19:48:07, 1.39step/s] Training: 1%| | 1128/100000 [12:44<20:12:16, 1.36step/s] Training: 1%| | 1129/100000 [12:45<19:18:47, 1.42step/s] Training: 1%| | 1130/100000 [12:46<18:47:48, 1.46step/s] Training: 1%| | 1131/100000 [12:46<18:19:30, 1.50step/s] Training: 1%| | 1132/100000 [12:47<17:58:37, 1.53step/s] Training: 1%| | 1133/100000 [12:48<17:45:42, 1.55step/s] Training: 1%| | 1134/100000 [12:48<18:41:58, 1.47step/s] Training: 1%| | 1135/100000 [12:49<19:38:11, 1.40step/s] Training: 1%| | 1136/100000 [12:50<20:00:47, 1.37step/s] Training: 1%| | 1137/100000 [12:50<19:06:18, 1.44step/s] Training: 1%| | 1138/100000 [12:51<18:29:38, 1.48step/s] Training: 1%| | 1139/100000 [12:52<17:55:42, 1.53step/s] Training: 1%| | 1140/100000 [12:52<17:47:08, 1.54step/s] Training: 1%| | 1141/100000 [12:53<17:43:42, 1.55step/s] 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Training: 1%| | 1177/100000 [13:17<17:49:46, 1.54step/s] Training: 1%| | 1178/100000 [13:18<17:21:18, 1.58step/s] Training: 1%| | 1179/100000 [13:18<17:20:06, 1.58step/s] Training: 1%| | 1180/100000 [13:21<29:38:23, 1.08s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 1%| | 1181/100000 [13:25<53:40:39, 1.96s/step] Training: 1%| | 1182/100000 [13:25<44:34:48, 1.62s/step] Training: 1%| | 1183/100000 [13:26<38:39:28, 1.41s/step] Training: 1%| | 1184/100000 [13:27<34:29:16, 1.26s/step] Training: 1%| | 1185/100000 [13:28<29:08:30, 1.06s/step] Training: 1%| | 1186/100000 [13:28<25:24:36, 1.08step/s] Training: 1%| | 1187/100000 [13:29<22:51:23, 1.20step/s] Training: 1%| | 1188/100000 [13:30<21:21:42, 1.28step/s] Training: 1%| | 1189/100000 [13:30<20:05:59, 1.37step/s] Training: 1%| | 1190/100000 [13:31<20:38:00, 1.33step/s] Training: 1%| | 1191/100000 [13:32<20:56:50, 1.31step/s] Training: 1%| | 1192/100000 [13:33<21:15:03, 1.29step/s] Training: 1%| | 1193/100000 [13:33<20:02:57, 1.37step/s] Training: 1%| | 1194/100000 [13:34<19:16:27, 1.42step/s] Training: 1%| | 1195/100000 [13:35<18:42:41, 1.47step/s] Training: 1%| | 1196/100000 [13:35<18:10:03, 1.51step/s] Training: 1%| | 1197/100000 [13:36<17:39:41, 1.55step/s] Training: 1%| | 1198/100000 [13:37<19:01:40, 1.44step/s] Training: 1%| | 1199/100000 [13:37<19:46:01, 1.39step/s] Training: 1%| | 1200/100000 [13:38<20:14:24, 1.36step/s]INFO 2026-03-12 03:35:54 ot_train.py:435 step:1K smpl:77K ep:261 epch:1.02 loss:0.567 grdn:14.694 lr:2.0e-05 updt_s:0.669 data_s:0.060 Training: 1%| | 1201/100000 [13:39<19:20:02, 1.42step/s] Training: 1%| | 1202/100000 [13:39<18:33:56, 1.48step/s] Training: 1%| | 1203/100000 [13:40<18:07:05, 1.51step/s] Training: 1%| | 1204/100000 [13:41<17:42:18, 1.55step/s] Training: 1%| | 1205/100000 [13:41<17:25:26, 1.58step/s] Training: 1%| | 1206/100000 [13:42<18:35:19, 1.48step/s] Training: 1%| | 1207/100000 [13:43<19:11:30, 1.43step/s] Training: 1%| | 1208/100000 [13:44<19:47:59, 1.39step/s] Training: 1%| | 1209/100000 [13:44<18:50:05, 1.46step/s] Training: 1%| | 1210/100000 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[14:09<18:14:18, 1.50step/s] Training: 1%| | 1246/100000 [14:10<19:00:15, 1.44step/s] Training: 1%| | 1247/100000 [14:11<20:00:49, 1.37step/s] Training: 1%| | 1248/100000 [14:11<20:25:26, 1.34step/s] Training: 1%| | 1249/100000 [14:12<20:52:25, 1.31step/s] Training: 1%|▏ | 1250/100000 [14:13<19:46:27, 1.39step/s] Training: 1%|▏ | 1251/100000 [14:14<18:57:09, 1.45step/s] Training: 1%|▏ | 1252/100000 [14:14<18:17:56, 1.50step/s] Training: 1%|▏ | 1253/100000 [14:15<17:59:58, 1.52step/s] Training: 1%|▏ | 1254/100000 [14:16<19:35:01, 1.40step/s] Training: 1%|▏ | 1255/100000 [14:16<20:23:00, 1.35step/s] Training: 1%|▏ | 1256/100000 [14:17<20:31:01, 1.34step/s] Training: 1%|▏ | 1257/100000 [14:18<20:29:37, 1.34step/s] Training: 1%|▏ | 1258/100000 [14:19<19:26:10, 1.41step/s] Training: 1%|▏ | 1259/100000 [14:19<18:49:50, 1.46step/s] Training: 1%|▏ | 1260/100000 [14:20<18:29:01, 1.48step/s] Training: 1%|▏ | 1261/100000 [14:20<17:54:35, 1.53step/s] Training: 1%|▏ | 1262/100000 [14:21<19:03:34, 1.44step/s] Training: 1%|▏ | 1263/100000 [14:22<19:45:00, 1.39step/s] Training: 1%|▏ | 1264/100000 [14:23<19:44:02, 1.39step/s] Training: 1%|▏ | 1265/100000 [14:23<19:02:24, 1.44step/s] Training: 1%|▏ | 1266/100000 [14:24<19:47:00, 1.39step/s] Training: 1%|▏ | 1267/100000 [14:25<18:57:41, 1.45step/s] Training: 1%|▏ | 1268/100000 [14:25<18:35:23, 1.48step/s] Training: 1%|▏ | 1269/100000 [14:26<18:15:06, 1.50step/s] Training: 1%|▏ | 1270/100000 [14:27<19:03:02, 1.44step/s] Training: 1%|▏ | 1271/100000 [14:28<19:35:03, 1.40step/s] Training: 1%|▏ | 1272/100000 [14:28<20:09:36, 1.36step/s] Training: 1%|▏ | 1273/100000 [14:29<19:19:11, 1.42step/s] Training: 1%|▏ | 1274/100000 [14:30<19:34:22, 1.40step/s] Training: 1%|▏ | 1275/100000 [14:30<18:35:49, 1.47step/s] Training: 1%|▏ | 1276/100000 [14:31<17:59:57, 1.52step/s] Training: 1%|▏ | 1277/100000 [14:32<17:36:00, 1.56step/s] Training: 1%|▏ | 1278/100000 [14:32<18:12:08, 1.51step/s] Training: 1%|▏ | 1279/100000 [14:33<18:58:01, 1.45step/s] Training: 1%|▏ | 1280/100000 [14:34<20:05:17, 1.37step/s] Training: 1%|▏ | 1281/100000 [14:34<19:12:22, 1.43step/s] Training: 1%|▏ | 1282/100000 [14:35<19:32:10, 1.40step/s] Training: 1%|▏ | 1283/100000 [14:36<18:38:24, 1.47step/s] Training: 1%|▏ | 1284/100000 [14:36<17:58:37, 1.53step/s] Training: 1%|▏ | 1285/100000 [14:37<17:46:35, 1.54step/s] Training: 1%|▏ | 1286/100000 [14:38<18:40:23, 1.47step/s] Training: 1%|▏ | 1287/100000 [14:39<19:38:49, 1.40step/s] Training: 1%|▏ | 1288/100000 [14:39<19:49:45, 1.38step/s] Training: 1%|▏ | 1289/100000 [14:40<19:06:28, 1.43step/s] Training: 1%|▏ | 1290/100000 [14:41<19:40:23, 1.39step/s] Training: 1%|▏ | 1291/100000 [14:41<18:51:02, 1.45step/s] Training: 1%|▏ | 1292/100000 [14:42<18:20:07, 1.50step/s] Training: 1%|▏ | 1293/100000 [14:43<18:03:38, 1.52step/s] Training: 1%|▏ | 1294/100000 [14:43<19:00:31, 1.44step/s] Training: 1%|▏ | 1295/100000 [14:44<19:54:48, 1.38step/s] Training: 1%|▏ | 1296/100000 [14:45<19:51:01, 1.38step/s] Training: 1%|▏ | 1297/100000 [14:46<19:23:27, 1.41step/s] Training: 1%|▏ | 1298/100000 [14:46<19:53:24, 1.38step/s] Training: 1%|▏ | 1299/100000 [14:47<19:02:08, 1.44step/s] Training: 1%|▏ | 1300/100000 [14:48<18:31:12, 1.48step/s]INFO 2026-03-12 03:37:04 ot_train.py:435 step:1K smpl:83K ep:283 epch:1.10 loss:0.528 grdn:15.488 lr:2.0e-05 updt_s:0.679 data_s:0.013 Training: 1%|▏ | 1301/100000 [14:48<17:58:22, 1.53step/s] Training: 1%|▏ | 1302/100000 [14:49<19:08:31, 1.43step/s] Training: 1%|▏ | 1303/100000 [14:50<19:23:34, 1.41step/s] Training: 1%|▏ | 1304/100000 [14:50<19:40:55, 1.39step/s] Training: 1%|▏ | 1305/100000 [14:51<18:55:54, 1.45step/s] Training: 1%|▏ | 1306/100000 [14:52<19:58:34, 1.37step/s] Training: 1%|▏ | 1307/100000 [14:53<19:11:54, 1.43step/s] Training: 1%|▏ | 1308/100000 [14:53<18:51:41, 1.45step/s] Training: 1%|▏ | 1309/100000 [14:54<18:44:37, 1.46step/s] Training: 1%|▏ | 1310/100000 [14:55<19:28:15, 1.41step/s] Training: 1%|▏ | 1311/100000 [14:55<20:25:27, 1.34step/s] Training: 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1329/100000 [15:08<19:15:53, 1.42step/s] Training: 1%|▏ | 1330/100000 [15:09<19:55:15, 1.38step/s] Training: 1%|▏ | 1331/100000 [15:10<19:00:18, 1.44step/s] Training: 1%|▏ | 1332/100000 [15:10<18:39:30, 1.47step/s] Training: 1%|▏ | 1333/100000 [15:11<18:02:50, 1.52step/s] Training: 1%|▏ | 1334/100000 [15:12<18:58:30, 1.44step/s] Training: 1%|▏ | 1335/100000 [15:12<19:19:14, 1.42step/s] Training: 1%|▏ | 1336/100000 [15:13<20:04:28, 1.37step/s] Training: 1%|▏ | 1337/100000 [15:14<19:09:33, 1.43step/s] Training: 1%|▏ | 1338/100000 [15:15<19:35:48, 1.40step/s] Training: 1%|▏ | 1339/100000 [15:15<18:46:15, 1.46step/s] Training: 1%|▏ | 1340/100000 [15:16<18:06:53, 1.51step/s] Training: 1%|▏ | 1341/100000 [15:16<17:46:35, 1.54step/s] Training: 1%|▏ | 1342/100000 [15:17<18:23:39, 1.49step/s] Training: 1%|▏ | 1343/100000 [15:18<19:13:17, 1.43step/s] Training: 1%|▏ | 1344/100000 [15:19<19:42:16, 1.39step/s] Training: 1%|▏ | 1345/100000 [15:19<18:43:28, 1.46step/s] Training: 1%|▏ | 1346/100000 [15:20<19:03:07, 1.44step/s] Training: 1%|▏ | 1347/100000 [15:21<18:24:16, 1.49step/s] Training: 1%|▏ | 1348/100000 [15:21<18:00:59, 1.52step/s] Training: 1%|▏ | 1349/100000 [15:22<17:46:45, 1.54step/s] Training: 1%|▏ | 1350/100000 [15:23<18:58:16, 1.44step/s] Training: 1%|▏ | 1351/100000 [15:23<19:39:08, 1.39step/s] Training: 1%|▏ | 1352/100000 [15:24<19:57:35, 1.37step/s] Training: 1%|▏ | 1353/100000 [15:25<19:05:34, 1.44step/s] Training: 1%|▏ | 1354/100000 [15:26<19:47:11, 1.38step/s] Training: 1%|▏ | 1355/100000 [15:26<18:56:22, 1.45step/s] Training: 1%|▏ | 1356/100000 [15:27<18:27:02, 1.49step/s] Training: 1%|▏ | 1357/100000 [15:28<18:08:47, 1.51step/s] Training: 1%|▏ | 1358/100000 [15:28<18:59:19, 1.44step/s] Training: 1%|▏ | 1359/100000 [15:29<19:45:01, 1.39step/s] Training: 1%|▏ | 1360/100000 [15:30<19:51:14, 1.38step/s] Training: 1%|▏ | 1361/100000 [15:30<19:04:35, 1.44step/s] Training: 1%|▏ | 1362/100000 [15:31<20:08:07, 1.36step/s] Training: 1%|▏ | 1363/100000 [15:32<19:15:37, 1.42step/s] Training: 1%|▏ | 1364/100000 [15:33<18:35:55, 1.47step/s] Training: 1%|▏ | 1365/100000 [15:33<18:09:12, 1.51step/s] Training: 1%|▏ | 1366/100000 [15:34<19:03:30, 1.44step/s] Training: 1%|▏ | 1367/100000 [15:35<19:22:48, 1.41step/s] Training: 1%|▏ | 1368/100000 [15:35<19:49:53, 1.38step/s] Training: 1%|▏ | 1369/100000 [15:36<18:59:21, 1.44step/s] Training: 1%|▏ | 1370/100000 [15:37<19:55:25, 1.38step/s] Training: 1%|▏ | 1371/100000 [15:37<19:08:35, 1.43step/s] Training: 1%|▏ | 1372/100000 [15:38<18:51:03, 1.45step/s] Training: 1%|▏ | 1373/100000 [15:39<18:28:23, 1.48step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=66605 Training: 1%|▏ | 1374/100000 [15:40<19:20:21, 1.42step/s] Training: 1%|▏ | 1375/100000 [15:40<20:22:15, 1.34step/s] Training: 1%|▏ | 1376/100000 [15:41<20:42:02, 1.32step/s] Training: 1%|▏ | 1377/100000 [15:42<19:50:33, 1.38step/s] Training: 1%|▏ | 1378/100000 [15:43<20:16:52, 1.35step/s] Training: 1%|▏ | 1379/100000 [15:43<19:22:47, 1.41step/s] Training: 1%|▏ | 1380/100000 [15:44<18:32:09, 1.48step/s] Training: 1%|▏ | 1381/100000 [15:44<18:15:12, 1.50step/s] Training: 1%|▏ | 1382/100000 [15:45<19:30:08, 1.40step/s] Training: 1%|▏ | 1383/100000 [15:46<20:17:22, 1.35step/s] Training: 1%|▏ | 1384/100000 [15:47<20:26:09, 1.34step/s] Training: 1%|▏ | 1385/100000 [15:47<19:28:00, 1.41step/s] Training: 1%|▏ | 1386/100000 [15:48<19:57:39, 1.37step/s] Training: 1%|▏ | 1387/100000 [15:49<19:22:10, 1.41step/s] Training: 1%|▏ | 1388/100000 [15:50<18:34:47, 1.47step/s] Training: 1%|▏ | 1389/100000 [15:50<17:54:14, 1.53step/s] Training: 1%|▏ | 1390/100000 [15:51<18:58:02, 1.44step/s] Training: 1%|▏ | 1391/100000 [15:52<19:34:35, 1.40step/s] Training: 1%|▏ | 1392/100000 [15:52<20:08:49, 1.36step/s] Training: 1%|▏ | 1393/100000 [15:53<19:18:46, 1.42step/s] Training: 1%|▏ | 1394/100000 [15:54<19:43:34, 1.39step/s] Training: 1%|▏ | 1395/100000 [15:54<18:50:48, 1.45step/s] Training: 1%|▏ | 1396/100000 [15:55<18:17:26, 1.50step/s] Training: 1%|▏ | 1397/100000 [15:56<17:54:08, 1.53step/s] Training: 1%|▏ | 1398/100000 [15:57<19:12:39, 1.43step/s] Training: 1%|▏ | 1399/100000 [15:57<19:27:25, 1.41step/s] Training: 1%|▏ | 1400/100000 [15:58<20:04:45, 1.36step/s]INFO 2026-03-12 03:38:14 ot_train.py:435 step:1K smpl:90K ep:305 epch:1.19 loss:0.566 grdn:14.475 lr:2.0e-05 updt_s:0.690 data_s:0.013 Training: 1%|▏ | 1401/100000 [15:59<19:15:04, 1.42step/s] Training: 1%|▏ | 1402/100000 [15:59<19:32:52, 1.40step/s] Training: 1%|▏ | 1403/100000 [16:00<18:34:29, 1.47step/s] Training: 1%|▏ | 1404/100000 [16:01<17:56:25, 1.53step/s] Training: 1%|▏ | 1405/100000 [16:01<17:30:50, 1.56step/s] Training: 1%|▏ | 1406/100000 [16:02<18:15:36, 1.50step/s] Training: 1%|▏ | 1407/100000 [16:03<19:21:12, 1.42step/s] Training: 1%|▏ | 1408/100000 [16:04<19:58:44, 1.37step/s] Training: 1%|▏ | 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[16:16<19:22:10, 1.41step/s] Training: 1%|▏ | 1427/100000 [16:17<18:40:35, 1.47step/s] Training: 1%|▏ | 1428/100000 [16:17<18:19:28, 1.49step/s] Training: 1%|▏ | 1429/100000 [16:18<17:48:05, 1.54step/s] Training: 1%|▏ | 1430/100000 [16:19<19:13:42, 1.42step/s] Training: 1%|▏ | 1431/100000 [16:19<19:38:36, 1.39step/s] Training: 1%|▏ | 1432/100000 [16:20<20:13:51, 1.35step/s] Training: 1%|▏ | 1433/100000 [16:21<19:31:37, 1.40step/s] Training: 1%|▏ | 1434/100000 [16:22<19:57:33, 1.37step/s] Training: 1%|▏ | 1435/100000 [16:22<19:17:09, 1.42step/s] Training: 1%|▏ | 1436/100000 [16:23<18:44:08, 1.46step/s] Training: 1%|▏ | 1437/100000 [16:23<18:18:50, 1.49step/s] Training: 1%|▏ | 1438/100000 [16:24<18:57:44, 1.44step/s] Training: 1%|▏ | 1439/100000 [16:25<19:48:04, 1.38step/s] Training: 1%|▏ | 1440/100000 [16:26<20:17:56, 1.35step/s] Training: 1%|▏ | 1441/100000 [16:27<20:34:38, 1.33step/s] Training: 1%|▏ | 1442/100000 [16:27<20:26:58, 1.34step/s] Training: 1%|▏ | 1443/100000 [16:28<19:28:33, 1.41step/s] Training: 1%|▏ | 1444/100000 [16:29<18:40:14, 1.47step/s] Training: 1%|▏ | 1445/100000 [16:29<18:04:48, 1.51step/s] Training: 1%|▏ | 1446/100000 [16:30<19:10:51, 1.43step/s] Training: 1%|▏ | 1447/100000 [16:31<19:48:40, 1.38step/s] Training: 1%|▏ | 1448/100000 [16:31<19:47:29, 1.38step/s] Training: 1%|▏ | 1449/100000 [16:32<20:01:38, 1.37step/s] Training: 1%|▏ | 1450/100000 [16:33<20:24:35, 1.34step/s] Training: 1%|▏ | 1451/100000 [16:34<19:21:42, 1.41step/s] Training: 1%|▏ | 1452/100000 [16:34<18:32:17, 1.48step/s] Training: 1%|▏ | 1453/100000 [16:35<18:15:43, 1.50step/s] Training: 1%|▏ | 1454/100000 [16:36<18:57:26, 1.44step/s] Training: 1%|▏ | 1455/100000 [16:36<19:31:02, 1.40step/s] Training: 1%|▏ | 1456/100000 [16:37<19:58:23, 1.37step/s] Training: 1%|▏ | 1457/100000 [16:38<19:38:07, 1.39step/s] Training: 1%|▏ | 1458/100000 [16:39<20:01:38, 1.37step/s] Training: 1%|▏ | 1459/100000 [16:39<19:05:48, 1.43step/s] Training: 1%|▏ | 1460/100000 [16:40<18:17:56, 1.50step/s] Training: 1%|▏ | 1461/100000 [16:40<18:00:26, 1.52step/s] Training: 1%|▏ | 1462/100000 [16:41<18:50:06, 1.45step/s] Training: 1%|▏ | 1463/100000 [16:42<20:02:01, 1.37step/s] Training: 1%|▏ | 1464/100000 [16:43<20:19:16, 1.35step/s] Training: 1%|▏ | 1465/100000 [16:44<19:55:20, 1.37step/s] Training: 1%|▏ | 1466/100000 [16:44<20:25:07, 1.34step/s] Training: 1%|▏ | 1467/100000 [16:45<19:24:40, 1.41step/s] Training: 1%|▏ | 1468/100000 [16:46<18:38:17, 1.47step/s] Training: 1%|▏ | 1469/100000 [16:46<18:09:34, 1.51step/s] Training: 1%|▏ | 1470/100000 [16:47<18:39:00, 1.47step/s] Training: 1%|▏ | 1471/100000 [16:48<19:26:31, 1.41step/s] Training: 1%|▏ | 1472/100000 [16:48<19:42:48, 1.39step/s] Training: 1%|▏ | 1473/100000 [16:49<19:57:45, 1.37step/s] Training: 1%|▏ | 1474/100000 [16:50<19:57:30, 1.37step/s] Training: 1%|▏ | 1475/100000 [16:51<19:12:38, 1.42step/s] Training: 1%|▏ | 1476/100000 [16:51<18:36:47, 1.47step/s] Training: 1%|▏ | 1477/100000 [16:52<18:17:41, 1.50step/s] Training: 1%|▏ | 1478/100000 [16:53<19:18:16, 1.42step/s] Training: 1%|▏ | 1479/100000 [16:53<19:50:05, 1.38step/s] Training: 1%|▏ | 1480/100000 [16:54<19:52:10, 1.38step/s] Training: 1%|▏ | 1481/100000 [16:55<19:11:25, 1.43step/s] Training: 1%|▏ | 1482/100000 [16:55<19:50:55, 1.38step/s] Training: 1%|▏ | 1483/100000 [16:56<19:04:39, 1.43step/s] Training: 1%|▏ | 1484/100000 [16:57<18:14:41, 1.50step/s] Training: 1%|▏ | 1485/100000 [16:57<17:53:44, 1.53step/s] Training: 1%|▏ | 1486/100000 [16:58<18:46:00, 1.46step/s] Training: 1%|▏ | 1487/100000 [16:59<19:40:38, 1.39step/s] Training: 1%|▏ | 1488/100000 [17:00<20:14:08, 1.35step/s] Training: 1%|▏ | 1489/100000 [17:00<20:26:11, 1.34step/s] Training: 1%|▏ | 1490/100000 [17:01<20:55:40, 1.31step/s] Training: 1%|▏ | 1491/100000 [17:02<19:44:05, 1.39step/s] Training: 1%|▏ | 1492/100000 [17:03<19:01:25, 1.44step/s] Training: 1%|▏ | 1493/100000 [17:03<18:22:03, 1.49step/s] Training: 1%|▏ | 1494/100000 [17:04<19:25:22, 1.41step/s] Training: 1%|▏ | 1495/100000 [17:05<19:48:10, 1.38step/s] Training: 1%|▏ | 1496/100000 [17:05<20:22:43, 1.34step/s] Training: 1%|▏ | 1497/100000 [17:06<20:43:38, 1.32step/s] Training: 1%|▏ | 1498/100000 [17:07<21:21:22, 1.28step/s] Training: 1%|▏ | 1499/100000 [17:08<20:08:51, 1.36step/s] Training: 2%|▏ | 1500/100000 [17:08<19:23:24, 1.41step/s]INFO 2026-03-12 03:39:24 ot_train.py:435 step:2K smpl:96K ep:327 epch:1.27 loss:0.564 grdn:14.156 lr:2.0e-05 updt_s:0.689 data_s:0.012 Training: 2%|▏ | 1501/100000 [17:09<18:55:29, 1.45step/s] Training: 2%|▏ | 1502/100000 [17:10<19:21:32, 1.41step/s] Training: 2%|▏ | 1503/100000 [17:11<20:13:25, 1.35step/s] Training: 2%|▏ | 1504/100000 [17:11<20:10:41, 1.36step/s] Training: 2%|▏ | 1505/100000 [17:12<19:45:02, 1.39step/s] Training: 2%|▏ | 1506/100000 [17:13<19:42:49, 1.39step/s] Training: 2%|▏ | 1507/100000 [17:13<18:53:11, 1.45step/s] Training: 2%|▏ | 1508/100000 [17:14<18:24:54, 1.49step/s] Training: 2%|▏ | 1509/100000 [17:15<18:03:42, 1.51step/s] Training: 2%|▏ | 1510/100000 [17:15<19:05:31, 1.43step/s] Training: 2%|▏ | 1511/100000 [17:16<20:13:57, 1.35step/s] Training: 2%|▏ | 1512/100000 [17:17<20:13:11, 1.35step/s] Training: 2%|▏ | 1513/100000 [17:18<19:24:07, 1.41step/s] Training: 2%|▏ | 1514/100000 [17:18<19:59:47, 1.37step/s] Training: 2%|▏ | 1515/100000 [17:19<19:02:33, 1.44step/s] Training: 2%|▏ | 1516/100000 [17:20<18:28:57, 1.48step/s] Training: 2%|▏ | 1517/100000 [17:20<18:09:28, 1.51step/s] Training: 2%|▏ | 1518/100000 [17:21<19:06:07, 1.43step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=11176 Training: 2%|▏ | 1519/100000 [17:22<19:46:37, 1.38step/s] Training: 2%|▏ | 1520/100000 [17:23<20:18:50, 1.35step/s] Training: 2%|▏ | 1521/100000 [17:23<20:16:01, 1.35step/s] Training: 2%|▏ | 1522/100000 [17:24<20:33:07, 1.33step/s] Training: 2%|▏ | 1523/100000 [17:25<19:15:38, 1.42step/s] Training: 2%|▏ | 1524/100000 [17:25<18:38:50, 1.47step/s] Training: 2%|▏ | 1525/100000 [17:26<18:10:44, 1.50step/s] Training: 2%|▏ | 1526/100000 [17:27<18:56:00, 1.44step/s] Training: 2%|▏ | 1527/100000 [17:27<19:21:25, 1.41step/s] Training: 2%|▏ | 1528/100000 [17:28<19:57:06, 1.37step/s] Training: 2%|▏ | 1529/100000 [17:29<20:05:59, 1.36step/s] Training: 2%|▏ | 1530/100000 [17:30<20:28:39, 1.34step/s] Training: 2%|▏ | 1531/100000 [17:30<19:10:31, 1.43step/s] Training: 2%|▏ | 1532/100000 [17:31<18:38:05, 1.47step/s] Training: 2%|▏ | 1533/100000 [17:32<18:09:35, 1.51step/s] Training: 2%|▏ | 1534/100000 [17:32<18:32:33, 1.48step/s] Training: 2%|▏ | 1535/100000 [17:33<19:25:53, 1.41step/s] Training: 2%|▏ | 1536/100000 [17:34<19:32:00, 1.40step/s] Training: 2%|▏ | 1537/100000 [17:35<19:36:24, 1.39step/s] Training: 2%|▏ | 1538/100000 [17:35<19:45:35, 1.38step/s] Training: 2%|▏ | 1539/100000 [17:36<18:44:35, 1.46step/s] Training: 2%|▏ | 1540/100000 [17:37<18:12:52, 1.50step/s] Training: 2%|▏ | 1541/100000 [17:37<17:56:25, 1.52step/s] Training: 2%|▏ | 1542/100000 [17:38<18:44:14, 1.46step/s] Training: 2%|▏ | 1543/100000 [17:39<19:29:29, 1.40step/s] Training: 2%|▏ | 1544/100000 [17:39<19:38:18, 1.39step/s] Training: 2%|▏ | 1545/100000 [17:40<18:55:37, 1.44step/s] Training: 2%|▏ | 1546/100000 [17:41<19:40:37, 1.39step/s] Training: 2%|▏ | 1547/100000 [17:41<18:53:56, 1.45step/s] Training: 2%|▏ | 1548/100000 [17:42<18:14:11, 1.50step/s] Training: 2%|▏ | 1549/100000 [17:43<18:01:41, 1.52step/s] Training: 2%|▏ | 1550/100000 [17:44<19:12:08, 1.42step/s] Training: 2%|▏ | 1551/100000 [17:44<19:59:54, 1.37step/s] Training: 2%|▏ | 1552/100000 [17:45<20:20:07, 1.34step/s] Training: 2%|▏ | 1553/100000 [17:46<20:38:48, 1.32step/s] Training: 2%|▏ | 1554/100000 [17:47<20:56:57, 1.31step/s] Training: 2%|▏ | 1555/100000 [17:47<19:45:29, 1.38step/s] Training: 2%|▏ | 1556/100000 [17:48<19:02:32, 1.44step/s] Training: 2%|▏ | 1557/100000 [17:49<18:33:59, 1.47step/s] Training: 2%|▏ | 1558/100000 [17:49<19:15:54, 1.42step/s] Training: 2%|▏ | 1559/100000 [17:50<20:06:51, 1.36step/s] Training: 2%|▏ | 1560/100000 [17:51<20:35:32, 1.33step/s] Training: 2%|▏ | 1561/100000 [17:52<20:28:25, 1.34step/s] Training: 2%|▏ | 1562/100000 [17:52<20:44:56, 1.32step/s] Training: 2%|▏ | 1563/100000 [17:53<19:49:31, 1.38step/s] Training: 2%|▏ | 1564/100000 [17:54<19:08:49, 1.43step/s] Training: 2%|▏ | 1565/100000 [17:54<18:40:34, 1.46step/s] Training: 2%|▏ | 1566/100000 [17:55<19:16:47, 1.42step/s] Training: 2%|▏ | 1567/100000 [17:56<20:00:44, 1.37step/s] Training: 2%|▏ | 1568/100000 [17:57<20:03:10, 1.36step/s] Training: 2%|▏ | 1569/100000 [17:57<19:54:26, 1.37step/s] Training: 2%|▏ | 1570/100000 [17:58<19:55:10, 1.37step/s] Training: 2%|▏ | 1571/100000 [17:59<19:15:30, 1.42step/s] Training: 2%|▏ | 1572/100000 [17:59<18:43:48, 1.46step/s] Training: 2%|▏ | 1573/100000 [18:00<18:19:57, 1.49step/s] Training: 2%|▏ | 1574/100000 [18:01<19:03:50, 1.43step/s] Training: 2%|▏ | 1575/100000 [18:02<19:41:27, 1.39step/s] Training: 2%|▏ | 1576/100000 [18:02<19:52:35, 1.38step/s] Training: 2%|▏ | 1577/100000 [18:03<19:15:15, 1.42step/s] Training: 2%|▏ | 1578/100000 [18:04<20:36:34, 1.33step/s] Training: 2%|▏ | 1579/100000 [18:04<19:30:07, 1.40step/s] Training: 2%|▏ | 1580/100000 [18:05<18:45:44, 1.46step/s] Training: 2%|▏ | 1581/100000 [18:06<18:18:51, 1.49step/s] Training: 2%|▏ | 1582/100000 [18:06<19:13:24, 1.42step/s] Training: 2%|▏ | 1583/100000 [18:07<19:48:37, 1.38step/s] Training: 2%|▏ | 1584/100000 [18:08<20:28:52, 1.33step/s] Training: 2%|▏ | 1585/100000 [18:09<20:21:27, 1.34step/s] Training: 2%|▏ | 1586/100000 [18:10<20:24:40, 1.34step/s] Training: 2%|▏ | 1587/100000 [18:10<19:32:00, 1.40step/s] Training: 2%|▏ | 1588/100000 [18:11<18:34:41, 1.47step/s] Training: 2%|▏ | 1589/100000 [18:11<18:04:56, 1.51step/s] Training: 2%|▏ | 1590/100000 [18:12<18:56:49, 1.44step/s] Training: 2%|▏ | 1591/100000 [18:13<19:22:42, 1.41step/s] Training: 2%|▏ | 1592/100000 [18:14<19:54:37, 1.37step/s] Training: 2%|▏ | 1593/100000 [18:14<19:35:27, 1.40step/s] Training: 2%|▏ | 1594/100000 [18:15<20:03:22, 1.36step/s] Training: 2%|▏ | 1595/100000 [18:16<19:04:38, 1.43step/s] Training: 2%|▏ | 1596/100000 [18:16<18:31:49, 1.48step/s] Training: 2%|▏ | 1597/100000 [18:17<18:04:17, 1.51step/s] Training: 2%|▏ | 1598/100000 [18:18<18:31:36, 1.48step/s] Training: 2%|▏ | 1599/100000 [18:19<19:13:05, 1.42step/s] Training: 2%|▏ | 1600/100000 [18:19<20:06:02, 1.36step/s]INFO 2026-03-12 03:40:35 ot_train.py:435 step:2K smpl:102K ep:349 epch:1.36 loss:0.570 grdn:15.227 lr:2.0e-05 updt_s:0.695 data_s:0.012 Training: 2%|▏ | 1601/100000 [18:20<19:46:57, 1.38step/s] Training: 2%|▏ | 1602/100000 [18:21<19:57:35, 1.37step/s] Training: 2%|▏ | 1603/100000 [18:21<19:12:13, 1.42step/s] Training: 2%|▏ | 1604/100000 [18:22<18:34:07, 1.47step/s] Training: 2%|▏ | 1605/100000 [18:23<18:01:44, 1.52step/s] Training: 2%|▏ | 1606/100000 [18:23<18:55:44, 1.44step/s] Training: 2%|▏ | 1607/100000 [18:24<19:55:29, 1.37step/s] Training: 2%|▏ | 1608/100000 [18:25<19:51:32, 1.38step/s] Training: 2%|▏ | 1609/100000 [18:26<19:11:05, 1.42step/s] Training: 2%|▏ | 1610/100000 [18:26<20:18:32, 1.35step/s] Training: 2%|▏ | 1611/100000 [18:27<19:19:54, 1.41step/s] Training: 2%|▏ | 1612/100000 [18:28<18:45:31, 1.46step/s] Training: 2%|▏ | 1613/100000 [18:28<18:00:29, 1.52step/s] Training: 2%|▏ | 1614/100000 [18:29<18:51:09, 1.45step/s] Training: 2%|▏ | 1615/100000 [18:30<19:31:17, 1.40step/s] Training: 2%|▏ | 1616/100000 [18:31<19:50:10, 1.38step/s] Training: 2%|▏ | 1617/100000 [18:31<20:01:14, 1.37step/s] Training: 2%|▏ | 1618/100000 [18:32<20:44:23, 1.32step/s] Training: 2%|▏ | 1619/100000 [18:33<19:46:04, 1.38step/s] Training: 2%|▏ | 1620/100000 [18:33<19:09:04, 1.43step/s] Training: 2%|▏ | 1621/100000 [18:34<18:47:43, 1.45step/s] Training: 2%|▏ | 1622/100000 [18:35<19:26:36, 1.41step/s] Training: 2%|▏ | 1623/100000 [18:36<20:05:58, 1.36step/s] Training: 2%|▏ | 1624/100000 [18:36<20:23:14, 1.34step/s] Training: 2%|▏ | 1625/100000 [18:37<20:19:41, 1.34step/s] Training: 2%|▏ | 1626/100000 [18:38<21:00:25, 1.30step/s] Training: 2%|▏ | 1627/100000 [18:39<19:38:28, 1.39step/s] Training: 2%|▏ | 1628/100000 [18:39<19:06:12, 1.43step/s] Training: 2%|▏ | 1629/100000 [18:40<18:29:20, 1.48step/s] Training: 2%|▏ | 1630/100000 [18:41<18:43:43, 1.46step/s] Training: 2%|▏ | 1631/100000 [18:41<19:46:34, 1.38step/s] Training: 2%|▏ | 1632/100000 [18:42<19:48:21, 1.38step/s] Training: 2%|▏ | 1633/100000 [18:43<19:41:38, 1.39step/s] Training: 2%|▏ | 1634/100000 [18:44<19:41:20, 1.39step/s] Training: 2%|▏ | 1635/100000 [18:44<18:51:09, 1.45step/s] Training: 2%|▏ | 1636/100000 [18:45<18:23:48, 1.49step/s] Training: 2%|▏ | 1637/100000 [18:45<18:03:59, 1.51step/s] Training: 2%|▏ | 1638/100000 [18:46<18:45:34, 1.46step/s] Training: 2%|▏ | 1639/100000 [18:47<19:30:23, 1.40step/s] Training: 2%|▏ | 1640/100000 [18:48<19:43:15, 1.39step/s] Training: 2%|▏ | 1641/100000 [18:48<18:59:48, 1.44step/s] Training: 2%|▏ | 1642/100000 [18:49<19:46:10, 1.38step/s] Training: 2%|▏ | 1643/100000 [18:50<20:04:15, 1.36step/s] Training: 2%|▏ | 1644/100000 [18:50<19:07:10, 1.43step/s] Training: 2%|▏ | 1645/100000 [18:51<18:35:49, 1.47step/s] Training: 2%|▏ | 1646/100000 [18:52<19:13:28, 1.42step/s] Training: 2%|▏ | 1647/100000 [18:53<19:50:08, 1.38step/s] Training: 2%|▏ | 1648/100000 [18:53<19:54:41, 1.37step/s] Training: 2%|▏ | 1649/100000 [18:54<19:02:43, 1.43step/s] Training: 2%|▏ | 1650/100000 [18:55<19:30:54, 1.40step/s] Training: 2%|▏ | 1651/100000 [18:56<19:41:39, 1.39step/s] Training: 2%|▏ | 1652/100000 [18:56<18:49:43, 1.45step/s] Training: 2%|▏ | 1653/100000 [18:57<18:16:06, 1.50step/s] Training: 2%|▏ | 1654/100000 [18:58<19:07:00, 1.43step/s] Training: 2%|▏ | 1655/100000 [18:58<19:19:24, 1.41step/s] Training: 2%|▏ | 1656/100000 [18:59<19:39:07, 1.39step/s] Training: 2%|▏ | 1657/100000 [19:00<18:54:53, 1.44step/s] Training: 2%|▏ | 1658/100000 [19:00<19:22:48, 1.41step/s] Training: 2%|▏ | 1659/100000 [19:01<19:29:20, 1.40step/s] Training: 2%|▏ | 1660/100000 [19:02<18:47:49, 1.45step/s] Training: 2%|▏ | 1661/100000 [19:02<18:30:07, 1.48step/s] Training: 2%|▏ | 1662/100000 [19:03<19:08:36, 1.43step/s] Training: 2%|▏ | 1663/100000 [19:04<19:38:52, 1.39step/s] Training: 2%|▏ | 1664/100000 [19:05<19:36:28, 1.39step/s] Training: 2%|▏ | 1665/100000 [19:05<18:48:58, 1.45step/s] Training: 2%|▏ | 1666/100000 [19:06<19:09:08, 1.43step/s] Training: 2%|▏ | 1667/100000 [19:07<19:48:53, 1.38step/s] Training: 2%|▏ | 1668/100000 [19:07<18:55:08, 1.44step/s] Training: 2%|▏ | 1669/100000 [19:08<18:19:23, 1.49step/s] Training: 2%|▏ | 1670/100000 [19:09<19:14:45, 1.42step/s] Training: 2%|▏ | 1671/100000 [19:10<19:50:43, 1.38step/s] Training: 2%|▏ | 1672/100000 [19:10<19:40:52, 1.39step/s] Training: 2%|▏ | 1673/100000 [19:11<18:57:59, 1.44step/s] Training: 2%|▏ | 1674/100000 [19:12<19:07:29, 1.43step/s] Training: 2%|▏ | 1675/100000 [19:12<19:33:49, 1.40step/s] Training: 2%|▏ | 1676/100000 [19:13<18:44:32, 1.46step/s] Training: 2%|▏ | 1677/100000 [19:14<18:11:36, 1.50step/s] Training: 2%|▏ | 1678/100000 [19:14<19:01:19, 1.44step/s] Training: 2%|▏ | 1679/100000 [19:15<19:56:51, 1.37step/s] Training: 2%|▏ | 1680/100000 [19:16<20:32:44, 1.33step/s] Training: 2%|▏ | 1681/100000 [19:17<19:44:47, 1.38step/s] Training: 2%|▏ | 1682/100000 [19:17<20:19:05, 1.34step/s] Training: 2%|▏ | 1683/100000 [19:18<20:19:30, 1.34step/s] Training: 2%|▏ | 1684/100000 [19:19<19:23:18, 1.41step/s] Training: 2%|▏ | 1685/100000 [19:19<18:43:18, 1.46step/s] Training: 2%|▏ | 1686/100000 [19:20<19:24:54, 1.41step/s] Training: 2%|▏ | 1687/100000 [19:21<19:38:04, 1.39step/s] Training: 2%|▏ | 1688/100000 [19:22<20:11:09, 1.35step/s] Training: 2%|▏ | 1689/100000 [19:22<19:08:17, 1.43step/s] Training: 2%|▏ | 1690/100000 [19:23<19:19:10, 1.41step/s] Training: 2%|▏ | 1691/100000 [19:24<18:49:49, 1.45step/s] Training: 2%|▏ | 1692/100000 [19:24<19:44:54, 1.38step/s] Training: 2%|▏ | 1693/100000 [19:25<18:53:25, 1.45step/s] Training: 2%|▏ | 1694/100000 [19:26<19:14:48, 1.42step/s] Training: 2%|▏ | 1695/100000 [19:27<19:52:16, 1.37step/s] Training: 2%|▏ | 1696/100000 [19:27<19:46:21, 1.38step/s] Training: 2%|▏ | 1697/100000 [19:28<18:50:38, 1.45step/s] Training: 2%|▏ | 1698/100000 [19:29<19:28:53, 1.40step/s] Training: 2%|▏ | 1699/100000 [19:29<18:47:33, 1.45step/s] Training: 2%|▏ | 1700/100000 [19:30<19:30:42, 1.40step/s]INFO 2026-03-12 03:41:46 ot_train.py:435 step:2K smpl:109K ep:370 epch:1.44 loss:0.545 grdn:14.613 lr:2.0e-05 updt_s:0.694 data_s:0.012 Training: 2%|▏ | 1701/100000 [19:31<18:31:44, 1.47step/s] Training: 2%|▏ | 1702/100000 [19:31<19:06:37, 1.43step/s] Training: 2%|▏ | 1703/100000 [19:32<19:47:55, 1.38step/s] Training: 2%|▏ | 1704/100000 [19:33<19:44:37, 1.38step/s] Training: 2%|▏ | 1705/100000 [19:34<18:57:11, 1.44step/s] Training: 2%|▏ | 1706/100000 [19:34<19:35:12, 1.39step/s] Training: 2%|▏ | 1707/100000 [19:35<18:48:46, 1.45step/s] Training: 2%|▏ | 1708/100000 [19:36<19:21:57, 1.41step/s] Training: 2%|▏ | 1709/100000 [19:36<18:42:25, 1.46step/s] Training: 2%|▏ | 1710/100000 [19:37<19:39:42, 1.39step/s] Training: 2%|▏ | 1711/100000 [19:38<20:23:57, 1.34step/s] Training: 2%|▏ | 1712/100000 [19:39<19:31:26, 1.40step/s] Training: 2%|▏ | 1713/100000 [19:39<19:43:02, 1.38step/s] Training: 2%|▏ | 1714/100000 [19:40<19:37:15, 1.39step/s] Training: 2%|▏ | 1715/100000 [19:41<18:48:21, 1.45step/s] Training: 2%|▏ | 1716/100000 [19:41<19:26:14, 1.40step/s] Training: 2%|▏ | 1717/100000 [19:42<18:38:52, 1.46step/s] Training: 2%|▏ | 1718/100000 [19:43<19:17:38, 1.41step/s] Training: 2%|▏ | 1719/100000 [19:44<19:33:33, 1.40step/s] Training: 2%|▏ | 1720/100000 [19:44<20:12:45, 1.35step/s] Training: 2%|▏ | 1721/100000 [19:45<19:20:53, 1.41step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=39383 Training: 2%|▏ | 1722/100000 [19:46<19:17:04, 1.42step/s] Training: 2%|▏ | 1723/100000 [19:46<18:41:57, 1.46step/s] Training: 2%|▏ | 1724/100000 [19:47<19:21:04, 1.41step/s] Training: 2%|▏ | 1725/100000 [19:48<18:26:07, 1.48step/s] Training: 2%|▏ | 1726/100000 [19:48<18:54:37, 1.44step/s] Training: 2%|▏ | 1727/100000 [19:49<19:29:44, 1.40step/s] Training: 2%|▏ | 1728/100000 [19:50<19:43:06, 1.38step/s] Training: 2%|▏ | 1729/100000 [19:51<18:58:19, 1.44step/s] Training: 2%|▏ | 1730/100000 [19:51<19:34:20, 1.39step/s] Training: 2%|▏ | 1731/100000 [19:52<18:47:26, 1.45step/s] Training: 2%|▏ | 1732/100000 [19:53<19:32:11, 1.40step/s] Training: 2%|▏ | 1733/100000 [19:53<18:47:54, 1.45step/s] Training: 2%|▏ | 1734/100000 [19:54<19:32:53, 1.40step/s] Training: 2%|▏ | 1735/100000 [19:55<20:09:40, 1.35step/s] Training: 2%|▏ | 1736/100000 [19:56<20:20:41, 1.34step/s] Training: 2%|▏ | 1737/100000 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[20:21<18:50:19, 1.45step/s] Training: 2%|▏ | 1772/100000 [20:21<19:00:01, 1.44step/s] Training: 2%|▏ | 1773/100000 [20:22<18:10:29, 1.50step/s] Training: 2%|▏ | 1774/100000 [20:23<19:07:45, 1.43step/s] Training: 2%|▏ | 1775/100000 [20:23<19:48:31, 1.38step/s] Training: 2%|▏ | 1776/100000 [20:24<19:33:27, 1.40step/s] Training: 2%|▏ | 1777/100000 [20:25<18:39:54, 1.46step/s] Training: 2%|▏ | 1778/100000 [20:26<19:23:58, 1.41step/s] Training: 2%|▏ | 1779/100000 [20:26<18:45:37, 1.45step/s] Training: 2%|▏ | 1780/100000 [20:27<19:34:20, 1.39step/s] Training: 2%|▏ | 1781/100000 [20:28<18:44:04, 1.46step/s] Training: 2%|▏ | 1782/100000 [20:28<19:15:35, 1.42step/s] Training: 2%|▏ | 1783/100000 [20:29<19:26:30, 1.40step/s] Training: 2%|▏ | 1784/100000 [20:30<19:50:13, 1.38step/s] Training: 2%|▏ | 1785/100000 [20:30<18:58:55, 1.44step/s] Training: 2%|▏ | 1786/100000 [20:31<19:08:05, 1.43step/s] Training: 2%|▏ | 1787/100000 [20:32<18:36:45, 1.47step/s] Training: 2%|▏ | 1788/100000 [20:33<19:26:57, 1.40step/s] Training: 2%|▏ | 1789/100000 [20:33<18:38:43, 1.46step/s] Training: 2%|▏ | 1790/100000 [20:34<19:04:49, 1.43step/s] Training: 2%|▏ | 1791/100000 [20:35<19:59:32, 1.36step/s] Training: 2%|▏ | 1792/100000 [20:36<20:15:38, 1.35step/s] Training: 2%|▏ | 1793/100000 [20:36<19:13:51, 1.42step/s] Training: 2%|▏ | 1794/100000 [20:37<19:30:30, 1.40step/s] Training: 2%|▏ | 1795/100000 [20:37<18:48:03, 1.45step/s] Training: 2%|▏ | 1796/100000 [20:38<19:31:48, 1.40step/s] Training: 2%|▏ | 1797/100000 [20:39<18:34:21, 1.47step/s] Training: 2%|▏ | 1798/100000 [20:40<19:12:50, 1.42step/s] Training: 2%|▏ | 1799/100000 [20:40<20:07:34, 1.36step/s] Training: 2%|▏ | 1800/100000 [20:41<21:31:07, 1.27step/s]INFO 2026-03-12 03:42:57 ot_train.py:435 step:2K smpl:115K ep:392 epch:1.53 loss:0.573 grdn:13.970 lr:2.0e-05 updt_s:0.698 data_s:0.012 Training: 2%|▏ | 1801/100000 [20:42<20:18:06, 1.34step/s] Training: 2%|▏ | 1802/100000 [20:43<20:31:22, 1.33step/s] Training: 2%|▏ | 1803/100000 [20:43<19:40:38, 1.39step/s] Training: 2%|▏ | 1804/100000 [20:44<19:53:50, 1.37step/s] Training: 2%|▏ | 1805/100000 [20:45<19:04:39, 1.43step/s] Training: 2%|▏ | 1806/100000 [20:46<19:33:49, 1.39step/s] Training: 2%|▏ | 1807/100000 [20:46<20:34:33, 1.33step/s] Training: 2%|▏ | 1808/100000 [20:47<21:27:22, 1.27step/s] Training: 2%|▏ | 1809/100000 [20:48<20:05:41, 1.36step/s] Training: 2%|▏ | 1810/100000 [20:49<19:50:59, 1.37step/s] Training: 2%|▏ | 1811/100000 [20:49<19:01:34, 1.43step/s] Training: 2%|▏ | 1812/100000 [20:50<19:34:13, 1.39step/s] Training: 2%|▏ | 1813/100000 [20:51<18:47:05, 1.45step/s] Training: 2%|▏ | 1814/100000 [20:51<19:20:33, 1.41step/s] Training: 2%|▏ | 1815/100000 [20:52<19:51:13, 1.37step/s] Training: 2%|▏ | 1816/100000 [20:53<20:52:58, 1.31step/s] Training: 2%|▏ | 1817/100000 [20:54<19:33:47, 1.39step/s] Training: 2%|▏ | 1818/100000 [20:54<19:53:45, 1.37step/s] Training: 2%|▏ | 1819/100000 [20:55<19:03:22, 1.43step/s] Training: 2%|▏ | 1820/100000 [20:56<19:30:54, 1.40step/s] Training: 2%|▏ | 1821/100000 [20:56<18:42:42, 1.46step/s] Training: 2%|▏ | 1822/100000 [20:57<18:50:03, 1.45step/s] Training: 2%|▏ | 1823/100000 [20:58<19:48:21, 1.38step/s] Training: 2%|▏ | 1824/100000 [20:59<20:39:21, 1.32step/s] Training: 2%|▏ | 1825/100000 [20:59<19:32:26, 1.40step/s] Training: 2%|▏ | 1826/100000 [21:00<19:39:48, 1.39step/s] Training: 2%|▏ | 1827/100000 [21:01<18:56:44, 1.44step/s] Training: 2%|▏ | 1828/100000 [21:01<19:47:44, 1.38step/s] Training: 2%|▏ | 1829/100000 [21:02<19:04:06, 1.43step/s] Training: 2%|▏ | 1830/100000 [21:03<19:40:51, 1.39step/s] Training: 2%|▏ | 1831/100000 [21:04<20:13:34, 1.35step/s] Training: 2%|▏ | 1832/100000 [21:05<21:12:42, 1.29step/s] Training: 2%|▏ | 1833/100000 [21:05<19:47:25, 1.38step/s] Training: 2%|▏ | 1834/100000 [21:06<20:03:48, 1.36step/s] Training: 2%|▏ | 1835/100000 [21:06<18:57:30, 1.44step/s] Training: 2%|▏ | 1836/100000 [21:07<19:06:20, 1.43step/s] Training: 2%|▏ | 1837/100000 [21:08<18:24:15, 1.48step/s] Training: 2%|▏ | 1838/100000 [21:09<19:04:46, 1.43step/s] Training: 2%|▏ | 1839/100000 [21:09<19:41:42, 1.38step/s] Training: 2%|▏ | 1840/100000 [21:10<19:59:25, 1.36step/s] Training: 2%|▏ | 1841/100000 [21:11<19:03:13, 1.43step/s] Training: 2%|▏ | 1842/100000 [21:11<19:05:33, 1.43step/s] Training: 2%|▏ | 1843/100000 [21:12<18:29:50, 1.47step/s] Training: 2%|▏ | 1844/100000 [21:13<19:19:54, 1.41step/s] Training: 2%|▏ | 1845/100000 [21:13<18:23:14, 1.48step/s] Training: 2%|▏ | 1846/100000 [21:14<19:08:56, 1.42step/s] Training: 2%|▏ | 1847/100000 [21:15<19:36:33, 1.39step/s] Training: 2%|▏ | 1848/100000 [21:16<20:01:59, 1.36step/s] Training: 2%|▏ | 1849/100000 [21:16<18:56:50, 1.44step/s] Training: 2%|▏ | 1850/100000 [21:17<19:06:23, 1.43step/s] Training: 2%|▏ | 1851/100000 [21:18<18:29:05, 1.47step/s] Training: 2%|▏ | 1852/100000 [21:18<19:15:55, 1.42step/s] Training: 2%|▏ | 1853/100000 [21:19<18:33:07, 1.47step/s] Training: 2%|▏ | 1854/100000 [21:20<18:53:59, 1.44step/s] Training: 2%|▏ | 1855/100000 [21:21<19:44:37, 1.38step/s] Training: 2%|▏ | 1856/100000 [21:21<21:05:08, 1.29step/s] Training: 2%|▏ | 1857/100000 [21:22<19:48:43, 1.38step/s] Training: 2%|▏ | 1858/100000 [21:23<20:03:13, 1.36step/s] Training: 2%|▏ | 1859/100000 [21:23<19:08:01, 1.42step/s] Training: 2%|▏ | 1860/100000 [21:24<19:45:13, 1.38step/s] Training: 2%|▏ | 1861/100000 [21:25<18:57:13, 1.44step/s] Training: 2%|▏ | 1862/100000 [21:26<19:34:00, 1.39step/s] Training: 2%|▏ | 1863/100000 [21:26<20:15:33, 1.35step/s] Training: 2%|▏ | 1864/100000 [21:27<21:10:34, 1.29step/s] Training: 2%|▏ | 1865/100000 [21:28<20:06:26, 1.36step/s] Training: 2%|▏ | 1866/100000 [21:29<20:11:37, 1.35step/s] Training: 2%|▏ | 1867/100000 [21:29<19:29:01, 1.40step/s] Training: 2%|▏ | 1868/100000 [21:30<19:39:09, 1.39step/s] Training: 2%|▏ | 1869/100000 [21:31<18:48:54, 1.45step/s] Training: 2%|▏ | 1870/100000 [21:31<19:21:00, 1.41step/s] Training: 2%|▏ | 1871/100000 [21:32<20:16:09, 1.34step/s] Training: 2%|▏ | 1872/100000 [21:33<20:44:17, 1.31step/s] Training: 2%|▏ | 1873/100000 [21:34<19:39:16, 1.39step/s] Training: 2%|▏ | 1874/100000 [21:34<19:31:21, 1.40step/s] Training: 2%|▏ | 1875/100000 [21:35<18:54:30, 1.44step/s] Training: 2%|▏ | 1876/100000 [21:36<19:46:30, 1.38step/s] Training: 2%|▏ | 1877/100000 [21:36<18:57:44, 1.44step/s] Training: 2%|▏ | 1878/100000 [21:37<19:10:52, 1.42step/s] Training: 2%|▏ | 1879/100000 [21:38<19:31:59, 1.40step/s] Training: 2%|▏ | 1880/100000 [21:39<20:56:05, 1.30step/s] Training: 2%|▏ | 1881/100000 [21:39<19:46:52, 1.38step/s] Training: 2%|▏ | 1882/100000 [21:40<19:43:33, 1.38step/s] Training: 2%|▏ | 1883/100000 [21:41<18:58:55, 1.44step/s] Training: 2%|▏ | 1884/100000 [21:42<19:26:39, 1.40step/s] Training: 2%|▏ | 1885/100000 [21:42<18:40:10, 1.46step/s] Training: 2%|▏ | 1886/100000 [21:43<18:45:08, 1.45step/s] Training: 2%|▏ | 1887/100000 [21:44<19:31:31, 1.40step/s] Training: 2%|▏ | 1888/100000 [21:44<20:19:29, 1.34step/s] Training: 2%|▏ | 1889/100000 [21:45<19:24:50, 1.40step/s] Training: 2%|▏ | 1890/100000 [21:46<19:45:21, 1.38step/s] Training: 2%|▏ | 1891/100000 [21:46<19:01:06, 1.43step/s] Training: 2%|▏ | 1892/100000 [21:47<19:32:27, 1.39step/s] Training: 2%|▏ | 1893/100000 [21:48<18:41:45, 1.46step/s] Training: 2%|▏ | 1894/100000 [21:49<19:14:49, 1.42step/s] Training: 2%|▏ | 1895/100000 [21:49<19:55:53, 1.37step/s] Training: 2%|▏ | 1896/100000 [21:50<21:05:48, 1.29step/s] Training: 2%|▏ | 1897/100000 [21:51<19:52:14, 1.37step/s] Training: 2%|▏ | 1898/100000 [21:52<20:18:14, 1.34step/s] Training: 2%|▏ | 1899/100000 [21:52<19:24:40, 1.40step/s] Training: 2%|▏ | 1900/100000 [21:53<18:43:22, 1.46step/s]INFO 2026-03-12 03:44:09 ot_train.py:435 step:2K smpl:122K ep:414 epch:1.61 loss:0.556 grdn:14.254 lr:2.0e-05 updt_s:0.701 data_s:0.013 Training: 2%|▏ | 1901/100000 [21:54<19:38:06, 1.39step/s] Training: 2%|▏ | 1902/100000 [21:55<19:48:30, 1.38step/s] Training: 2%|▏ | 1903/100000 [21:55<20:20:38, 1.34step/s] Training: 2%|▏ | 1904/100000 [21:56<20:49:03, 1.31step/s] Training: 2%|▏ | 1905/100000 [21:57<19:39:54, 1.39step/s] Training: 2%|▏ | 1906/100000 [21:57<20:06:19, 1.36step/s] Training: 2%|▏ | 1907/100000 [21:58<19:15:00, 1.42step/s] Training: 2%|▏ | 1908/100000 [21:59<18:39:08, 1.46step/s] Training: 2%|▏ | 1909/100000 [21:59<19:02:27, 1.43step/s] Training: 2%|▏ | 1910/100000 [22:00<19:15:55, 1.41step/s] Training: 2%|▏ | 1911/100000 [22:01<19:19:25, 1.41step/s] Training: 2%|▏ | 1912/100000 [22:02<20:40:59, 1.32step/s] Training: 2%|▏ | 1913/100000 [22:02<19:44:50, 1.38step/s] Training: 2%|▏ | 1914/100000 [22:03<19:49:02, 1.37step/s] Training: 2%|▏ | 1915/100000 [22:04<19:04:45, 1.43step/s] Training: 2%|▏ | 1916/100000 [22:04<18:33:57, 1.47step/s] Training: 2%|▏ | 1917/100000 [22:05<18:50:20, 1.45step/s] Training: 2%|▏ | 1918/100000 [22:06<19:01:24, 1.43step/s] Training: 2%|▏ | 1919/100000 [22:07<19:57:40, 1.36step/s] Training: 2%|▏ | 1920/100000 [22:08<20:46:23, 1.31step/s] Training: 2%|▏ | 1921/100000 [22:08<19:50:50, 1.37step/s] Training: 2%|▏ | 1922/100000 [22:09<20:23:44, 1.34step/s] Training: 2%|▏ | 1923/100000 [22:10<19:24:27, 1.40step/s] Training: 2%|▏ | 1924/100000 [22:10<18:54:39, 1.44step/s] Training: 2%|▏ | 1925/100000 [22:11<19:56:30, 1.37step/s] Training: 2%|▏ | 1926/100000 [22:12<20:01:35, 1.36step/s] Training: 2%|▏ | 1927/100000 [22:13<20:31:45, 1.33step/s] Training: 2%|▏ | 1928/100000 [22:13<21:12:38, 1.28step/s] Training: 2%|▏ | 1929/100000 [22:14<19:47:55, 1.38step/s] Training: 2%|▏ | 1930/100000 [22:15<20:01:46, 1.36step/s] Training: 2%|▏ | 1931/100000 [22:15<19:08:04, 1.42step/s] Training: 2%|▏ | 1932/100000 [22:16<18:35:39, 1.47step/s] Training: 2%|▏ | 1933/100000 [22:17<19:34:26, 1.39step/s] Training: 2%|▏ | 1934/100000 [22:18<20:02:07, 1.36step/s] Training: 2%|▏ | 1935/100000 [22:18<20:26:36, 1.33step/s] Training: 2%|▏ | 1936/100000 [22:19<20:43:47, 1.31step/s] Training: 2%|▏ | 1937/100000 [22:20<19:37:50, 1.39step/s] Training: 2%|▏ | 1938/100000 [22:21<19:30:05, 1.40step/s] Training: 2%|▏ | 1939/100000 [22:21<18:34:58, 1.47step/s] Training: 2%|▏ | 1940/100000 [22:22<18:05:41, 1.51step/s] Training: 2%|▏ | 1941/100000 [22:23<18:46:44, 1.45step/s] Training: 2%|▏ | 1942/100000 [22:23<19:23:35, 1.40step/s] Training: 2%|▏ | 1943/100000 [22:24<19:34:54, 1.39step/s] Training: 2%|▏ | 1944/100000 [22:25<20:34:32, 1.32step/s] Training: 2%|▏ | 1945/100000 [22:25<19:24:05, 1.40step/s] Training: 2%|▏ | 1946/100000 [22:26<19:15:45, 1.41step/s] Training: 2%|▏ | 1947/100000 [22:27<18:38:40, 1.46step/s] Training: 2%|▏ | 1948/100000 [22:27<18:08:01, 1.50step/s] Training: 2%|▏ | 1949/100000 [22:28<18:25:10, 1.48step/s] Training: 2%|▏ | 1950/100000 [22:29<18:34:32, 1.47step/s] Training: 2%|▏ | 1951/100000 [22:30<19:24:11, 1.40step/s] Training: 2%|▏ | 1952/100000 [22:30<19:58:05, 1.36step/s] Training: 2%|▏ | 1953/100000 [22:31<19:05:14, 1.43step/s] Training: 2%|▏ | 1954/100000 [22:32<19:24:17, 1.40step/s] Training: 2%|▏ | 1955/100000 [22:32<18:46:06, 1.45step/s] Training: 2%|▏ | 1956/100000 [22:33<18:15:10, 1.49step/s] Training: 2%|▏ | 1957/100000 [22:34<18:56:52, 1.44step/s] Training: 2%|▏ | 1958/100000 [22:35<19:17:49, 1.41step/s] Training: 2%|▏ | 1959/100000 [22:35<19:54:04, 1.37step/s] Training: 2%|▏ | 1960/100000 [22:36<20:10:45, 1.35step/s] Training: 2%|▏ | 1961/100000 [22:37<19:20:29, 1.41step/s] Training: 2%|▏ | 1962/100000 [22:37<19:39:37, 1.39step/s] Training: 2%|▏ | 1963/100000 [22:38<18:55:14, 1.44step/s] Training: 2%|▏ | 1964/100000 [22:39<18:32:04, 1.47step/s] Training: 2%|▏ | 1965/100000 [22:40<19:24:48, 1.40step/s] Training: 2%|▏ | 1966/100000 [22:40<19:53:58, 1.37step/s] Training: 2%|▏ | 1967/100000 [22:41<20:27:17, 1.33step/s] Training: 2%|▏ | 1968/100000 [22:42<20:44:19, 1.31step/s] Training: 2%|▏ | 1969/100000 [22:43<19:37:01, 1.39step/s] Training: 2%|▏ | 1970/100000 [22:43<19:27:36, 1.40step/s] Training: 2%|▏ | 1971/100000 [22:44<18:40:08, 1.46step/s] Training: 2%|▏ | 1972/100000 [22:44<18:31:09, 1.47step/s] Training: 2%|▏ | 1973/100000 [22:45<19:27:54, 1.40step/s] Training: 2%|▏ | 1974/100000 [22:46<19:35:07, 1.39step/s] Training: 2%|▏ | 1975/100000 [22:47<20:10:54, 1.35step/s] Training: 2%|▏ | 1976/100000 [22:48<21:03:53, 1.29step/s] Training: 2%|▏ | 1977/100000 [22:48<20:00:23, 1.36step/s] Training: 2%|▏ | 1978/100000 [22:49<19:53:01, 1.37step/s] Training: 2%|▏ | 1979/100000 [22:50<19:09:16, 1.42step/s] Training: 2%|▏ | 1980/100000 [22:50<18:38:20, 1.46step/s] Training: 2%|▏ | 1981/100000 [22:51<18:57:05, 1.44step/s] Training: 2%|▏ | 1982/100000 [22:52<18:59:56, 1.43step/s] Training: 2%|▏ | 1983/100000 [22:53<19:57:54, 1.36step/s] Training: 2%|▏ | 1984/100000 [22:53<21:07:32, 1.29step/s] Training: 2%|▏ | 1985/100000 [22:54<19:55:35, 1.37step/s] Training: 2%|▏ | 1986/100000 [22:55<19:04:43, 1.43step/s] Training: 2%|▏ | 1987/100000 [22:55<19:24:05, 1.40step/s] Training: 2%|▏ | 1988/100000 [22:56<18:28:39, 1.47step/s] Training: 2%|▏ | 1989/100000 [22:57<19:11:21, 1.42step/s] Training: 2%|▏ | 1990/100000 [22:58<19:44:01, 1.38step/s] Training: 2%|▏ | 1991/100000 [22:58<20:13:46, 1.35step/s] Training: 2%|▏ | 1992/100000 [22:59<20:51:08, 1.31step/s] Training: 2%|▏ | 1993/100000 [23:00<19:44:20, 1.38step/s] Training: 2%|▏ | 1994/100000 [23:01<20:06:30, 1.35step/s] Training: 2%|▏ | 1995/100000 [23:01<19:16:09, 1.41step/s] Training: 2%|▏ | 1996/100000 [23:02<18:22:51, 1.48step/s] Training: 2%|▏ | 1997/100000 [23:03<18:56:14, 1.44step/s] Training: 2%|▏ | 1998/100000 [23:03<19:28:09, 1.40step/s] Training: 2%|▏ | 1999/100000 [23:04<20:09:17, 1.35step/s] Training: 2%|▏ | 2000/100000 [23:05<20:51:50, 1.30step/s]INFO 2026-03-12 03:45:21 ot_train.py:435 step:2K smpl:128K ep:436 epch:1.70 loss:0.547 grdn:13.995 lr:2.0e-05 updt_s:0.705 data_s:0.013 Training: 2%|▏ | 2001/100000 [23:06<19:42:11, 1.38step/s] Training: 2%|▏ | 2002/100000 [23:06<20:13:01, 1.35step/s] Training: 2%|▏ | 2003/100000 [23:07<19:04:51, 1.43step/s] Training: 2%|▏ | 2004/100000 [23:08<18:27:48, 1.47step/s] Training: 2%|▏ | 2005/100000 [23:08<19:15:04, 1.41step/s] Training: 2%|▏ | 2006/100000 [23:09<19:44:35, 1.38step/s] Training: 2%|▏ | 2007/100000 [23:10<19:58:03, 1.36step/s] Training: 2%|▏ | 2008/100000 [23:11<21:00:38, 1.30step/s] Training: 2%|▏ | 2009/100000 [23:11<19:41:30, 1.38step/s] Training: 2%|▏ | 2010/100000 [23:12<19:44:19, 1.38step/s] Training: 2%|▏ | 2011/100000 [23:13<18:46:06, 1.45step/s] Training: 2%|▏ | 2012/100000 [23:13<18:12:44, 1.49step/s] Training: 2%|▏ | 2013/100000 [23:14<18:35:24, 1.46step/s] Training: 2%|▏ | 2014/100000 [23:15<18:45:05, 1.45step/s] Training: 2%|▏ | 2015/100000 [23:15<19:36:03, 1.39step/s] Training: 2%|▏ | 2016/100000 [23:16<20:21:55, 1.34step/s] Training: 2%|▏ | 2017/100000 [23:17<19:27:22, 1.40step/s] Training: 2%|▏ | 2018/100000 [23:18<18:44:39, 1.45step/s] Training: 2%|▏ | 2019/100000 [23:18<19:24:49, 1.40step/s] Training: 2%|▏ | 2020/100000 [23:19<18:47:25, 1.45step/s] Training: 2%|▏ | 2021/100000 [23:20<19:32:27, 1.39step/s] Training: 2%|▏ | 2022/100000 [23:21<19:49:47, 1.37step/s] Training: 2%|▏ | 2023/100000 [23:21<20:12:49, 1.35step/s] Training: 2%|▏ | 2024/100000 [23:22<21:09:33, 1.29step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=39383 Training: 2%|▏ | 2025/100000 [23:23<19:54:31, 1.37step/s] Training: 2%|▏ | 2026/100000 [23:23<19:39:55, 1.38step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=15499 Training: 2%|▏ | 2027/100000 [23:24<18:59:21, 1.43step/s] Training: 2%|▏ | 2028/100000 [23:25<18:22:14, 1.48step/s] Training: 2%|▏ | 2029/100000 [23:26<19:28:37, 1.40step/s] Training: 2%|▏ | 2030/100000 [23:26<19:57:12, 1.36step/s] Training: 2%|▏ | 2031/100000 [23:27<20:45:02, 1.31step/s] Training: 2%|▏ | 2032/100000 [23:28<21:29:11, 1.27step/s] Training: 2%|▏ | 2033/100000 [23:29<20:30:06, 1.33step/s] Training: 2%|▏ | 2034/100000 [23:29<20:04:11, 1.36step/s] Training: 2%|▏ | 2035/100000 [23:30<19:03:44, 1.43step/s] Training: 2%|▏ | 2036/100000 [23:31<18:30:29, 1.47step/s] Training: 2%|▏ | 2037/100000 [23:31<19:23:13, 1.40step/s] Training: 2%|▏ | 2038/100000 [23:32<20:00:38, 1.36step/s] Training: 2%|▏ | 2039/100000 [23:33<20:01:29, 1.36step/s] Training: 2%|▏ | 2040/100000 [23:34<20:50:49, 1.31step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=39383 Training: 2%|▏ | 2041/100000 [23:34<19:39:38, 1.38step/s] Training: 2%|▏ | 2042/100000 [23:35<19:36:07, 1.39step/s] Training: 2%|▏ | 2043/100000 [23:36<18:56:20, 1.44step/s] Training: 2%|▏ | 2044/100000 [23:36<18:23:39, 1.48step/s] Training: 2%|▏ | 2045/100000 [23:37<18:44:02, 1.45step/s] Training: 2%|▏ | 2046/100000 [23:38<18:46:34, 1.45step/s] Training: 2%|▏ | 2047/100000 [23:39<19:45:07, 1.38step/s] Training: 2%|▏ | 2048/100000 [23:39<20:57:21, 1.30step/s] Training: 2%|▏ | 2049/100000 [23:40<19:44:12, 1.38step/s] Training: 2%|▏ | 2050/100000 [23:41<20:12:01, 1.35step/s] Training: 2%|▏ | 2051/100000 [23:42<19:15:55, 1.41step/s] Training: 2%|▏ | 2052/100000 [23:42<18:24:01, 1.48step/s] Training: 2%|▏ | 2053/100000 [23:43<19:20:04, 1.41step/s] Training: 2%|▏ | 2054/100000 [23:44<19:49:27, 1.37step/s] Training: 2%|▏ | 2055/100000 [23:44<20:22:10, 1.34step/s] Training: 2%|▏ | 2056/100000 [23:45<21:20:41, 1.27step/s] Training: 2%|▏ | 2057/100000 [23:46<19:55:02, 1.37step/s] Training: 2%|▏ | 2058/100000 [23:47<20:05:35, 1.35step/s] Training: 2%|▏ | 2059/100000 [23:47<19:10:30, 1.42step/s] Training: 2%|▏ | 2060/100000 [23:48<18:38:16, 1.46step/s] Training: 2%|▏ | 2061/100000 [23:49<19:17:09, 1.41step/s] Training: 2%|▏ | 2062/100000 [23:49<19:37:12, 1.39step/s] Training: 2%|▏ | 2063/100000 [23:50<20:03:52, 1.36step/s] Training: 2%|▏ | 2064/100000 [23:51<20:50:44, 1.31step/s] Training: 2%|▏ | 2065/100000 [23:52<19:44:33, 1.38step/s] Training: 2%|▏ | 2066/100000 [23:52<19:35:06, 1.39step/s] Training: 2%|▏ | 2067/100000 [23:53<18:53:34, 1.44step/s] Training: 2%|▏ | 2068/100000 [23:54<18:20:39, 1.48step/s] Training: 2%|▏ | 2069/100000 [23:54<19:00:31, 1.43step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=58887 Training: 2%|▏ | 2070/100000 [23:55<19:21:30, 1.41step/s] Training: 2%|▏ | 2071/100000 [23:56<19:48:35, 1.37step/s] Training: 2%|▏ | 2072/100000 [23:57<20:40:07, 1.32step/s] Training: 2%|▏ | 2073/100000 [23:57<19:35:32, 1.39step/s] Training: 2%|▏ | 2074/100000 [23:58<19:42:06, 1.38step/s] Training: 2%|▏ | 2075/100000 [23:59<18:57:42, 1.43step/s] Training: 2%|▏ | 2076/100000 [23:59<18:15:41, 1.49step/s] Training: 2%|▏ | 2077/100000 [24:00<19:01:49, 1.43step/s] Training: 2%|▏ | 2078/100000 [24:01<18:54:40, 1.44step/s] Training: 2%|▏ | 2079/100000 [24:02<19:33:58, 1.39step/s] Training: 2%|▏ | 2080/100000 [24:02<20:00:59, 1.36step/s] Training: 2%|▏ | 2081/100000 [24:03<19:13:13, 1.42step/s] Training: 2%|▏ | 2082/100000 [24:04<19:37:17, 1.39step/s] Training: 2%|▏ | 2083/100000 [24:04<18:51:51, 1.44step/s] Training: 2%|▏ | 2084/100000 [24:05<18:09:58, 1.50step/s] Training: 2%|▏ | 2085/100000 [24:06<19:05:25, 1.42step/s] Training: 2%|▏ | 2086/100000 [24:07<19:26:31, 1.40step/s] Training: 2%|▏ | 2087/100000 [24:07<20:04:18, 1.36step/s] Training: 2%|▏ | 2088/100000 [24:08<20:35:56, 1.32step/s] Training: 2%|▏ | 2089/100000 [24:09<19:32:14, 1.39step/s] Training: 2%|▏ | 2090/100000 [24:10<20:03:53, 1.36step/s] Training: 2%|▏ | 2091/100000 [24:10<19:15:09, 1.41step/s] Training: 2%|▏ | 2092/100000 [24:11<18:34:43, 1.46step/s] Training: 2%|▏ | 2093/100000 [24:12<19:17:19, 1.41step/s] Training: 2%|▏ | 2094/100000 [24:12<19:42:57, 1.38step/s] Training: 2%|▏ | 2095/100000 [24:13<20:15:35, 1.34step/s] Training: 2%|▏ | 2096/100000 [24:14<20:24:50, 1.33step/s] Training: 2%|▏ | 2097/100000 [24:15<19:14:33, 1.41step/s] Training: 2%|▏ | 2098/100000 [24:15<19:12:09, 1.42step/s] Training: 2%|▏ | 2099/100000 [24:16<18:29:48, 1.47step/s] Training: 2%|▏ | 2100/100000 [24:16<18:02:57, 1.51step/s]INFO 2026-03-12 03:46:32 ot_train.py:435 step:2K smpl:134K ep:457 epch:1.78 loss:0.564 grdn:14.923 lr:2.0e-05 updt_s:0.701 data_s:0.013 Training: 2%|▏ | 2101/100000 [24:17<19:03:56, 1.43step/s] Training: 2%|▏ | 2102/100000 [24:18<19:31:45, 1.39step/s] Training: 2%|▏ | 2103/100000 [24:19<19:43:54, 1.38step/s] Training: 2%|▏ | 2104/100000 [24:20<20:24:32, 1.33step/s] Training: 2%|▏ | 2105/100000 [24:20<19:26:27, 1.40step/s] Training: 2%|▏ | 2106/100000 [24:21<19:36:57, 1.39step/s] Training: 2%|▏ | 2107/100000 [24:22<18:37:15, 1.46step/s] Training: 2%|▏ | 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[24:34<18:53:30, 1.44step/s] Training: 2%|▏ | 2126/100000 [24:35<18:47:04, 1.45step/s] Training: 2%|▏ | 2127/100000 [24:36<19:35:35, 1.39step/s] Training: 2%|▏ | 2128/100000 [24:36<19:30:23, 1.39step/s] Training: 2%|▏ | 2129/100000 [24:37<18:35:31, 1.46step/s] Training: 2%|▏ | 2130/100000 [24:38<18:49:56, 1.44step/s] Training: 2%|▏ | 2131/100000 [24:38<18:16:31, 1.49step/s] Training: 2%|▏ | 2132/100000 [24:39<17:41:46, 1.54step/s] Training: 2%|▏ | 2133/100000 [24:40<18:38:49, 1.46step/s] Training: 2%|▏ | 2134/100000 [24:40<18:47:08, 1.45step/s] Training: 2%|▏ | 2135/100000 [24:41<19:09:00, 1.42step/s] Training: 2%|▏ | 2136/100000 [24:42<19:50:52, 1.37step/s] Training: 2%|▏ | 2137/100000 [24:43<19:01:54, 1.43step/s] Training: 2%|▏ | 2138/100000 [24:43<19:08:47, 1.42step/s] Training: 2%|▏ | 2139/100000 [24:44<18:17:40, 1.49step/s] Training: 2%|▏ | 2140/100000 [24:45<17:53:55, 1.52step/s] Training: 2%|▏ | 2141/100000 [24:45<18:33:45, 1.46step/s] Training: 2%|▏ | 2142/100000 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[26:33<19:07:04, 1.42step/s] Training: 2%|▏ | 2294/100000 [26:33<19:10:31, 1.42step/s] Training: 2%|▏ | 2295/100000 [26:34<19:33:43, 1.39step/s] Training: 2%|▏ | 2296/100000 [26:35<20:07:51, 1.35step/s] Training: 2%|▏ | 2297/100000 [26:36<19:09:00, 1.42step/s] Training: 2%|▏ | 2298/100000 [26:36<19:14:32, 1.41step/s] Training: 2%|▏ | 2299/100000 [26:37<18:33:10, 1.46step/s] Training: 2%|▏ | 2300/100000 [26:38<18:11:02, 1.49step/s]INFO 2026-03-12 03:48:53 ot_train.py:435 step:2K smpl:147K ep:501 epch:1.95 loss:0.590 grdn:14.744 lr:2.0e-05 updt_s:0.691 data_s:0.012 Training: 2%|▏ | 2301/100000 [26:38<18:57:35, 1.43step/s] Training: 2%|▏ | 2302/100000 [26:39<18:54:56, 1.43step/s] Training: 2%|▏ | 2303/100000 [26:40<19:39:56, 1.38step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=11176 Training: 2%|▏ | 2304/100000 [26:41<20:21:00, 1.33step/s] Training: 2%|▏ | 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[27:17<17:26:04, 1.56step/s] Training: 2%|▏ | 2357/100000 [27:17<17:17:51, 1.57step/s] Training: 2%|▏ | 2358/100000 [27:18<17:31:13, 1.55step/s] Training: 2%|▏ | 2359/100000 [27:19<17:51:04, 1.52step/s] Training: 2%|▏ | 2360/100000 [27:21<31:05:15, 1.15s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 2%|▏ | 2361/100000 [27:25<52:50:34, 1.95s/step] Training: 2%|▏ | 2362/100000 [27:26<43:17:13, 1.60s/step] Training: 2%|▏ | 2363/100000 [27:26<35:26:06, 1.31s/step] Training: 2%|▏ | 2364/100000 [27:27<29:56:36, 1.10s/step] Training: 2%|▏ | 2365/100000 [27:28<25:54:49, 1.05step/s] Training: 2%|▏ | 2366/100000 [27:28<24:17:36, 1.12step/s] Training: 2%|▏ | 2367/100000 [27:29<23:48:45, 1.14step/s] Training: 2%|▏ | 2368/100000 [27:30<23:30:49, 1.15step/s] Training: 2%|▏ | 2369/100000 [27:31<21:25:51, 1.27step/s] Training: 2%|▏ | 2370/100000 [27:31<21:27:19, 1.26step/s] Training: 2%|▏ | 2371/100000 [27:32<20:02:35, 1.35step/s] Training: 2%|▏ | 2372/100000 [27:33<19:14:02, 1.41step/s] Training: 2%|▏ | 2373/100000 [27:33<18:50:18, 1.44step/s] Training: 2%|▏ | 2374/100000 [27:34<19:22:31, 1.40step/s] Training: 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[28:21<19:02:22, 1.42step/s] Training: 2%|▏ | 2442/100000 [28:22<19:46:37, 1.37step/s] Training: 2%|▏ | 2443/100000 [28:22<19:05:02, 1.42step/s] Training: 2%|▏ | 2444/100000 [28:23<18:27:25, 1.47step/s] Training: 2%|▏ | 2445/100000 [28:24<18:04:39, 1.50step/s] Training: 2%|▏ | 2446/100000 [28:24<18:57:17, 1.43step/s] Training: 2%|▏ | 2447/100000 [28:25<19:44:24, 1.37step/s] Training: 2%|▏ | 2448/100000 [28:26<20:18:35, 1.33step/s] Training: 2%|▏ | 2449/100000 [28:27<19:26:31, 1.39step/s] Training: 2%|▏ | 2450/100000 [28:27<19:54:31, 1.36step/s] Training: 2%|▏ | 2451/100000 [28:28<19:04:30, 1.42step/s] Training: 2%|▏ | 2452/100000 [28:29<18:16:15, 1.48step/s] Training: 2%|▏ | 2453/100000 [28:29<17:52:24, 1.52step/s] Training: 2%|▏ | 2454/100000 [28:30<18:44:22, 1.45step/s] Training: 2%|▏ | 2455/100000 [28:31<19:04:57, 1.42step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=19630 Training: 2%|▏ | 2456/100000 [28:32<19:58:52, 1.36step/s] Training: 2%|▏ | 2457/100000 [28:32<19:10:56, 1.41step/s] Training: 2%|▏ | 2458/100000 [28:33<19:25:10, 1.40step/s] Training: 2%|▏ | 2459/100000 [28:34<18:39:54, 1.45step/s] Training: 2%|▏ | 2460/100000 [28:34<18:06:44, 1.50step/s] Training: 2%|▏ | 2461/100000 [28:35<17:50:25, 1.52step/s] Training: 2%|▏ | 2462/100000 [28:36<18:47:16, 1.44step/s] Training: 2%|▏ | 2463/100000 [28:36<19:36:23, 1.38step/s] Training: 2%|▏ | 2464/100000 [28:37<20:29:41, 1.32step/s] Training: 2%|▏ | 2465/100000 [28:38<19:19:09, 1.40step/s] Training: 2%|▏ | 2466/100000 [28:39<20:08:32, 1.35step/s] Training: 2%|▏ | 2467/100000 [28:39<19:04:50, 1.42step/s] Training: 2%|▏ | 2468/100000 [28:40<18:32:55, 1.46step/s] Training: 2%|▏ | 2469/100000 [28:41<17:54:14, 1.51step/s] Training: 2%|▏ | 2470/100000 [28:41<19:10:38, 1.41step/s] Training: 2%|▏ | 2471/100000 [28:42<19:48:35, 1.37step/s] Training: 2%|▏ | 2472/100000 [28:43<20:24:28, 1.33step/s] Training: 2%|▏ | 2473/100000 [28:44<19:25:14, 1.39step/s] Training: 2%|▏ | 2474/100000 [28:44<19:57:38, 1.36step/s] Training: 2%|▏ | 2475/100000 [28:45<19:04:55, 1.42step/s] Training: 2%|▏ | 2476/100000 [28:46<18:13:40, 1.49step/s] Training: 2%|▏ | 2477/100000 [28:46<17:51:53, 1.52step/s] Training: 2%|▏ | 2478/100000 [28:47<19:00:51, 1.42step/s] Training: 2%|▏ | 2479/100000 [28:48<19:49:01, 1.37step/s] Training: 2%|▏ | 2480/100000 [28:49<20:18:53, 1.33step/s] Training: 2%|▏ | 2481/100000 [28:49<19:16:15, 1.41step/s] Training: 2%|▏ | 2482/100000 [28:50<19:46:49, 1.37step/s] Training: 2%|▏ | 2483/100000 [28:51<18:52:49, 1.43step/s] Training: 2%|▏ | 2484/100000 [28:51<18:20:59, 1.48step/s] Training: 2%|▏ | 2485/100000 [28:52<17:50:05, 1.52step/s] Training: 2%|▏ | 2486/100000 [28:53<18:42:48, 1.45step/s] Training: 2%|▏ | 2487/100000 [28:53<18:59:51, 1.43step/s] Training: 2%|▏ | 2488/100000 [28:54<19:47:53, 1.37step/s] Training: 2%|▏ | 2489/100000 [28:55<18:59:48, 1.43step/s] Training: 2%|▏ | 2490/100000 [28:56<19:20:02, 1.40step/s] Training: 2%|▏ | 2491/100000 [28:56<18:24:35, 1.47step/s] Training: 2%|▏ | 2492/100000 [28:57<17:58:30, 1.51step/s] Training: 2%|▏ | 2493/100000 [28:57<17:45:38, 1.53step/s] Training: 2%|▏ | 2494/100000 [28:58<18:13:04, 1.49step/s] Training: 2%|▏ | 2495/100000 [28:59<18:57:54, 1.43step/s] Training: 2%|▏ | 2496/100000 [29:00<19:36:42, 1.38step/s] Training: 2%|▏ | 2497/100000 [29:00<18:52:00, 1.44step/s] Training: 2%|▏ | 2498/100000 [29:01<19:25:17, 1.39step/s] Training: 2%|▏ | 2499/100000 [29:02<18:44:06, 1.45step/s] Training: 2%|▎ | 2500/100000 [29:02<18:10:58, 1.49step/s]INFO 2026-03-12 03:51:18 ot_train.py:435 step:2K smpl:160K ep:545 epch:2.12 loss:0.489 grdn:12.434 lr:2.0e-05 updt_s:0.686 data_s:0.013 Training: 3%|▎ | 2501/100000 [29:03<17:57:41, 1.51step/s] Training: 3%|▎ | 2502/100000 [29:04<18:46:25, 1.44step/s] Training: 3%|▎ | 2503/100000 [29:04<19:21:37, 1.40step/s] Training: 3%|▎ | 2504/100000 [29:05<19:47:29, 1.37step/s] Training: 3%|▎ | 2505/100000 [29:06<18:58:46, 1.43step/s] Training: 3%|▎ | 2506/100000 [29:07<19:34:07, 1.38step/s] Training: 3%|▎ | 2507/100000 [29:07<18:46:39, 1.44step/s] Training: 3%|▎ | 2508/100000 [29:08<18:10:40, 1.49step/s] Training: 3%|▎ | 2509/100000 [29:09<17:50:55, 1.52step/s] Training: 3%|▎ | 2510/100000 [29:09<18:42:45, 1.45step/s] Training: 3%|▎ | 2511/100000 [29:10<20:02:09, 1.35step/s] Training: 3%|▎ | 2512/100000 [29:11<20:35:59, 1.31step/s] Training: 3%|▎ | 2513/100000 [29:12<19:38:20, 1.38step/s] Training: 3%|▎ | 2514/100000 [29:12<20:10:47, 1.34step/s] Training: 3%|▎ | 2515/100000 [29:13<19:17:17, 1.40step/s] Training: 3%|▎ | 2516/100000 [29:14<18:39:17, 1.45step/s] Training: 3%|▎ | 2517/100000 [29:14<18:01:23, 1.50step/s] Training: 3%|▎ | 2518/100000 [29:15<18:51:14, 1.44step/s] Training: 3%|▎ | 2519/100000 [29:16<19:12:00, 1.41step/s] Training: 3%|▎ | 2520/100000 [29:17<20:00:18, 1.35step/s] Training: 3%|▎ | 2521/100000 [29:17<19:06:11, 1.42step/s] Training: 3%|▎ | 2522/100000 [29:18<19:15:27, 1.41step/s] Training: 3%|▎ | 2523/100000 [29:19<18:28:47, 1.47step/s] Training: 3%|▎ | 2524/100000 [29:19<17:57:44, 1.51step/s] Training: 3%|▎ | 2525/100000 [29:20<17:47:32, 1.52step/s] Training: 3%|▎ | 2526/100000 [29:21<18:22:13, 1.47step/s] Training: 3%|▎ | 2527/100000 [29:21<19:32:18, 1.39step/s] Training: 3%|▎ | 2528/100000 [29:22<20:06:01, 1.35step/s] Training: 3%|▎ | 2529/100000 [29:23<19:04:23, 1.42step/s] Training: 3%|▎ | 2530/100000 [29:24<19:52:44, 1.36step/s] Training: 3%|▎ | 2531/100000 [29:24<18:52:37, 1.43step/s] Training: 3%|▎ | 2532/100000 [29:25<18:17:58, 1.48step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=35225 Training: 3%|▎ | 2533/100000 [29:25<17:54:24, 1.51step/s] Training: 3%|▎ | 2534/100000 [29:26<18:47:01, 1.44step/s] Training: 3%|▎ | 2535/100000 [29:27<19:29:30, 1.39step/s] Training: 3%|▎ | 2536/100000 [29:28<19:55:45, 1.36step/s] Training: 3%|▎ | 2537/100000 [29:28<18:51:37, 1.44step/s] Training: 3%|▎ | 2538/100000 [29:29<19:24:14, 1.40step/s] Training: 3%|▎ | 2539/100000 [29:30<18:42:58, 1.45step/s] Training: 3%|▎ | 2540/100000 [29:30<18:07:22, 1.49step/s] Training: 3%|▎ | 2541/100000 [29:31<17:46:58, 1.52step/s] Training: 3%|▎ | 2542/100000 [29:32<18:39:35, 1.45step/s] Training: 3%|▎ | 2543/100000 [29:33<19:16:45, 1.40step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=57386 Training: 3%|▎ | 2544/100000 [29:33<19:41:46, 1.37step/s] Training: 3%|▎ | 2545/100000 [29:34<19:53:22, 1.36step/s] Training: 3%|▎ | 2546/100000 [29:35<20:07:39, 1.34step/s] Training: 3%|▎ | 2547/100000 [29:35<19:12:26, 1.41step/s] Training: 3%|▎ | 2548/100000 [29:36<18:22:22, 1.47step/s] Training: 3%|▎ | 2549/100000 [29:37<17:57:31, 1.51step/s] Training: 3%|▎ | 2550/100000 [29:37<18:48:40, 1.44step/s] Training: 3%|▎ | 2551/100000 [29:38<19:11:32, 1.41step/s] Training: 3%|▎ | 2552/100000 [29:39<19:46:57, 1.37step/s] Training: 3%|▎ | 2553/100000 [29:40<21:10:20, 1.28step/s] Training: 3%|▎ | 2554/100000 [29:41<20:32:52, 1.32step/s] Training: 3%|▎ | 2555/100000 [29:41<19:24:28, 1.39step/s] Training: 3%|▎ | 2556/100000 [29:42<18:42:46, 1.45step/s] Training: 3%|▎ | 2557/100000 [29:42<18:01:25, 1.50step/s] Training: 3%|▎ | 2558/100000 [29:43<18:44:18, 1.44step/s] Training: 3%|▎ | 2559/100000 [29:44<19:19:55, 1.40step/s] Training: 3%|▎ | 2560/100000 [29:45<19:50:18, 1.36step/s] Training: 3%|▎ | 2561/100000 [29:45<19:34:31, 1.38step/s] Training: 3%|▎ | 2562/100000 [29:46<20:00:39, 1.35step/s] Training: 3%|▎ | 2563/100000 [29:47<19:03:20, 1.42step/s] Training: 3%|▎ | 2564/100000 [29:47<18:26:07, 1.47step/s] Training: 3%|▎ | 2565/100000 [29:48<17:56:19, 1.51step/s] Training: 3%|▎ | 2566/100000 [29:49<18:57:50, 1.43step/s] Training: 3%|▎ | 2567/100000 [29:50<19:34:38, 1.38step/s] Training: 3%|▎ | 2568/100000 [29:50<20:05:48, 1.35step/s] Training: 3%|▎ | 2569/100000 [29:51<20:12:23, 1.34step/s] Training: 3%|▎ | 2570/100000 [29:52<19:02:10, 1.42step/s] Training: 3%|▎ | 2571/100000 [29:53<19:27:50, 1.39step/s] Training: 3%|▎ | 2572/100000 [29:53<18:44:42, 1.44step/s] Training: 3%|▎ | 2573/100000 [29:54<18:22:15, 1.47step/s] Training: 3%|▎ | 2574/100000 [29:55<19:15:55, 1.40step/s] Training: 3%|▎ | 2575/100000 [29:55<19:44:53, 1.37step/s] Training: 3%|▎ | 2576/100000 [29:56<20:12:19, 1.34step/s] Training: 3%|▎ | 2577/100000 [29:57<20:28:55, 1.32step/s] Training: 3%|▎ | 2578/100000 [29:58<19:37:56, 1.38step/s] Training: 3%|▎ | 2579/100000 [29:58<20:11:10, 1.34step/s] Training: 3%|▎ | 2580/100000 [29:59<19:14:21, 1.41step/s] Training: 3%|▎ | 2581/100000 [30:00<18:34:20, 1.46step/s] Training: 3%|▎ | 2582/100000 [30:00<19:36:38, 1.38step/s] Training: 3%|▎ | 2583/100000 [30:01<19:56:16, 1.36step/s] Training: 3%|▎ | 2584/100000 [30:02<20:35:21, 1.31step/s] Training: 3%|▎ | 2585/100000 [30:03<20:27:29, 1.32step/s] Training: 3%|▎ | 2586/100000 [30:03<19:33:52, 1.38step/s] Training: 3%|▎ | 2587/100000 [30:04<19:53:13, 1.36step/s] Training: 3%|▎ | 2588/100000 [30:05<18:54:31, 1.43step/s] Training: 3%|▎ | 2589/100000 [30:05<18:22:35, 1.47step/s] Training: 3%|▎ | 2590/100000 [30:06<18:58:08, 1.43step/s] Training: 3%|▎ | 2591/100000 [30:07<19:17:53, 1.40step/s] Training: 3%|▎ | 2592/100000 [30:08<19:50:42, 1.36step/s] Training: 3%|▎ | 2593/100000 [30:08<18:57:07, 1.43step/s] Training: 3%|▎ | 2594/100000 [30:09<19:29:14, 1.39step/s] Training: 3%|▎ | 2595/100000 [30:10<19:45:16, 1.37step/s] Training: 3%|▎ | 2596/100000 [30:11<18:52:53, 1.43step/s] Training: 3%|▎ | 2597/100000 [30:11<18:18:38, 1.48step/s] Training: 3%|▎ | 2598/100000 [30:12<18:58:50, 1.43step/s] Training: 3%|▎ | 2599/100000 [30:13<19:30:55, 1.39step/s] Training: 3%|▎ | 2600/100000 [30:13<19:56:12, 1.36step/s]INFO 2026-03-12 03:52:29 ot_train.py:435 step:3K smpl:166K ep:566 epch:2.20 loss:0.514 grdn:12.308 lr:2.0e-05 updt_s:0.697 data_s:0.013 Training: 3%|▎ | 2601/100000 [30:14<20:20:02, 1.33step/s] Training: 3%|▎ | 2602/100000 [30:15<19:09:20, 1.41step/s] Training: 3%|▎ | 2603/100000 [30:16<19:32:41, 1.38step/s] Training: 3%|▎ | 2604/100000 [30:16<18:34:29, 1.46step/s] Training: 3%|▎ | 2605/100000 [30:17<18:01:59, 1.50step/s] Training: 3%|▎ | 2606/100000 [30:18<18:40:18, 1.45step/s] Training: 3%|▎ | 2607/100000 [30:18<19:04:57, 1.42step/s] Training: 3%|▎ | 2608/100000 [30:19<19:34:53, 1.38step/s] Training: 3%|▎ | 2609/100000 [30:20<20:03:41, 1.35step/s] Training: 3%|▎ | 2610/100000 [30:20<19:13:48, 1.41step/s] Training: 3%|▎ | 2611/100000 [30:21<19:37:57, 1.38step/s] Training: 3%|▎ | 2612/100000 [30:22<18:48:41, 1.44step/s] Training: 3%|▎ | 2613/100000 [30:22<18:13:43, 1.48step/s] Training: 3%|▎ | 2614/100000 [30:23<19:06:28, 1.42step/s] Training: 3%|▎ | 2615/100000 [30:24<19:20:45, 1.40step/s] Training: 3%|▎ | 2616/100000 [30:25<20:12:20, 1.34step/s] Training: 3%|▎ | 2617/100000 [30:26<20:02:33, 1.35step/s] Training: 3%|▎ | 2618/100000 [30:26<19:05:27, 1.42step/s] Training: 3%|▎ | 2619/100000 [30:27<19:47:15, 1.37step/s] Training: 3%|▎ | 2620/100000 [30:28<19:01:27, 1.42step/s] Training: 3%|▎ | 2621/100000 [30:28<18:19:45, 1.48step/s] Training: 3%|▎ | 2622/100000 [30:29<18:54:51, 1.43step/s] Training: 3%|▎ | 2623/100000 [30:30<19:11:32, 1.41step/s] Training: 3%|▎ | 2624/100000 [30:31<19:50:27, 1.36step/s] Training: 3%|▎ | 2625/100000 [30:31<18:58:35, 1.43step/s] Training: 3%|▎ | 2626/100000 [30:32<19:31:21, 1.39step/s] Training: 3%|▎ | 2627/100000 [30:33<19:45:50, 1.37step/s] Training: 3%|▎ | 2628/100000 [30:33<18:41:38, 1.45step/s] Training: 3%|▎ | 2629/100000 [30:34<17:58:14, 1.51step/s] Training: 3%|▎ | 2630/100000 [30:35<18:53:40, 1.43step/s] Training: 3%|▎ | 2631/100000 [30:35<19:13:24, 1.41step/s] Training: 3%|▎ | 2632/100000 [30:36<20:11:13, 1.34step/s] Training: 3%|▎ | 2633/100000 [30:37<20:22:36, 1.33step/s] Training: 3%|▎ | 2634/100000 [30:38<19:19:39, 1.40step/s] Training: 3%|▎ | 2635/100000 [30:38<19:33:28, 1.38step/s] Training: 3%|▎ | 2636/100000 [30:39<18:51:20, 1.43step/s] Training: 3%|▎ | 2637/100000 [30:40<18:22:17, 1.47step/s] Training: 3%|▎ | 2638/100000 [30:40<19:16:29, 1.40step/s] Training: 3%|▎ | 2639/100000 [30:41<19:59:46, 1.35step/s] Training: 3%|▎ | 2640/100000 [30:42<20:09:52, 1.34step/s] Training: 3%|▎ | 2641/100000 [30:43<21:08:23, 1.28step/s] Training: 3%|▎ | 2642/100000 [30:43<19:52:41, 1.36step/s] Training: 3%|▎ | 2643/100000 [30:44<20:10:26, 1.34step/s] Training: 3%|▎ | 2644/100000 [30:45<19:17:57, 1.40step/s] Training: 3%|▎ | 2645/100000 [30:45<18:29:44, 1.46step/s] Training: 3%|▎ | 2646/100000 [30:46<19:43:28, 1.37step/s] Training: 3%|▎ | 2647/100000 [30:47<19:52:23, 1.36step/s] Training: 3%|▎ | 2648/100000 [30:48<20:35:52, 1.31step/s] Training: 3%|▎ | 2649/100000 [30:49<20:22:09, 1.33step/s] Training: 3%|▎ | 2650/100000 [30:49<19:20:25, 1.40step/s] Training: 3%|▎ | 2651/100000 [30:50<20:10:30, 1.34step/s] Training: 3%|▎ | 2652/100000 [30:51<19:16:34, 1.40step/s] Training: 3%|▎ | 2653/100000 [30:51<18:22:51, 1.47step/s] Training: 3%|▎ | 2654/100000 [30:52<18:42:58, 1.44step/s] Training: 3%|▎ | 2655/100000 [30:53<19:27:34, 1.39step/s] Training: 3%|▎ | 2656/100000 [30:54<19:56:40, 1.36step/s] Training: 3%|▎ | 2657/100000 [30:54<19:51:05, 1.36step/s] Training: 3%|▎ | 2658/100000 [30:55<19:11:44, 1.41step/s] Training: 3%|▎ | 2659/100000 [30:56<19:36:57, 1.38step/s] Training: 3%|▎ | 2660/100000 [30:56<18:53:05, 1.43step/s] Training: 3%|▎ | 2661/100000 [30:57<18:17:19, 1.48step/s] Training: 3%|▎ | 2662/100000 [30:58<18:57:09, 1.43step/s] Training: 3%|▎ | 2663/100000 [30:58<19:23:38, 1.39step/s] Training: 3%|▎ | 2664/100000 [30:59<19:50:42, 1.36step/s] Training: 3%|▎ | 2665/100000 [31:00<20:07:58, 1.34step/s] Training: 3%|▎ | 2666/100000 [31:01<19:10:36, 1.41step/s] Training: 3%|▎ | 2667/100000 [31:01<19:44:01, 1.37step/s] Training: 3%|▎ | 2668/100000 [31:02<18:53:53, 1.43step/s] Training: 3%|▎ | 2669/100000 [31:03<18:13:44, 1.48step/s] Training: 3%|▎ | 2670/100000 [31:03<19:05:15, 1.42step/s] Training: 3%|▎ | 2671/100000 [31:04<19:28:16, 1.39step/s] Training: 3%|▎ | 2672/100000 [31:05<19:37:36, 1.38step/s] Training: 3%|▎ | 2673/100000 [31:06<20:08:56, 1.34step/s] Training: 3%|▎ | 2674/100000 [31:06<20:04:42, 1.35step/s] Training: 3%|▎ | 2675/100000 [31:07<19:44:22, 1.37step/s] Training: 3%|▎ | 2676/100000 [31:08<18:55:46, 1.43step/s] Training: 3%|▎ | 2677/100000 [31:08<18:09:21, 1.49step/s] Training: 3%|▎ | 2678/100000 [31:09<18:31:54, 1.46step/s] Training: 3%|▎ | 2679/100000 [31:10<19:05:21, 1.42step/s] Training: 3%|▎ | 2680/100000 [31:11<19:46:48, 1.37step/s] Training: 3%|▎ | 2681/100000 [31:11<19:51:58, 1.36step/s] Training: 3%|▎ | 2682/100000 [31:12<19:41:10, 1.37step/s] Training: 3%|▎ | 2683/100000 [31:13<20:00:10, 1.35step/s] Training: 3%|▎ | 2684/100000 [31:14<19:01:46, 1.42step/s] Training: 3%|▎ | 2685/100000 [31:14<18:10:15, 1.49step/s] Training: 3%|▎ | 2686/100000 [31:15<18:34:45, 1.45step/s] Training: 3%|▎ | 2687/100000 [31:16<19:15:46, 1.40step/s] Training: 3%|▎ | 2688/100000 [31:16<19:40:01, 1.37step/s] Training: 3%|▎ | 2689/100000 [31:17<18:47:52, 1.44step/s] Training: 3%|▎ | 2690/100000 [31:18<19:23:32, 1.39step/s] Training: 3%|▎ | 2691/100000 [31:19<19:57:28, 1.35step/s] Training: 3%|▎ | 2692/100000 [31:19<18:50:35, 1.43step/s] Training: 3%|▎ | 2693/100000 [31:20<18:03:31, 1.50step/s] Training: 3%|▎ | 2694/100000 [31:21<18:55:20, 1.43step/s] Training: 3%|▎ | 2695/100000 [31:21<19:42:39, 1.37step/s] Training: 3%|▎ | 2696/100000 [31:22<20:27:18, 1.32step/s] Training: 3%|▎ | 2697/100000 [31:23<20:40:39, 1.31step/s] Training: 3%|▎ | 2698/100000 [31:24<21:00:54, 1.29step/s] Training: 3%|▎ | 2699/100000 [31:25<20:50:28, 1.30step/s] Training: 3%|▎ | 2700/100000 [31:25<19:50:54, 1.36step/s]INFO 2026-03-12 03:53:41 ot_train.py:435 step:3K smpl:173K ep:588 epch:2.29 loss:0.502 grdn:12.488 lr:2.0e-05 updt_s:0.703 data_s:0.013 Training: 3%|▎ | 2701/100000 [31:26<19:08:12, 1.41step/s] Training: 3%|▎ | 2702/100000 [31:27<19:57:53, 1.35step/s] Training: 3%|▎ | 2703/100000 [31:27<20:27:03, 1.32step/s] Training: 3%|▎ | 2704/100000 [31:28<20:44:08, 1.30step/s] Training: 3%|▎ | 2705/100000 [31:29<20:50:12, 1.30step/s] Training: 3%|▎ | 2706/100000 [31:30<21:00:04, 1.29step/s] Training: 3%|▎ | 2707/100000 [31:30<20:20:01, 1.33step/s] Training: 3%|▎ | 2708/100000 [31:31<19:24:36, 1.39step/s] Training: 3%|▎ | 2709/100000 [31:32<18:34:18, 1.46step/s] Training: 3%|▎ | 2710/100000 [31:32<18:56:34, 1.43step/s] Training: 3%|▎ | 2711/100000 [31:33<19:09:05, 1.41step/s] Training: 3%|▎ | 2712/100000 [31:34<19:45:05, 1.37step/s] Training: 3%|▎ | 2713/100000 [31:35<19:44:06, 1.37step/s] Training: 3%|▎ | 2714/100000 [31:35<19:50:38, 1.36step/s] Training: 3%|▎ | 2715/100000 [31:36<20:01:36, 1.35step/s] Training: 3%|▎ | 2716/100000 [31:37<19:09:09, 1.41step/s] Training: 3%|▎ | 2717/100000 [31:37<18:28:37, 1.46step/s] Training: 3%|▎ | 2718/100000 [31:38<18:49:53, 1.43step/s] Training: 3%|▎ | 2719/100000 [31:39<19:16:01, 1.40step/s] Training: 3%|▎ | 2720/100000 [31:40<19:37:52, 1.38step/s] Training: 3%|▎ | 2721/100000 [31:40<18:49:37, 1.44step/s] Training: 3%|▎ | 2722/100000 [31:41<19:17:26, 1.40step/s] Training: 3%|▎ | 2723/100000 [31:42<19:43:06, 1.37step/s] Training: 3%|▎ | 2724/100000 [31:42<18:39:56, 1.45step/s] Training: 3%|▎ | 2725/100000 [31:43<18:06:04, 1.49step/s] Training: 3%|▎ | 2726/100000 [31:44<18:40:10, 1.45step/s] Training: 3%|▎ | 2727/100000 [31:45<19:16:56, 1.40step/s] Training: 3%|▎ | 2728/100000 [31:45<19:32:26, 1.38step/s] Training: 3%|▎ | 2729/100000 [31:46<19:55:27, 1.36step/s] Training: 3%|▎ | 2730/100000 [31:47<19:51:07, 1.36step/s] Training: 3%|▎ | 2731/100000 [31:48<19:46:50, 1.37step/s] Training: 3%|▎ | 2732/100000 [31:48<18:57:45, 1.42step/s] Training: 3%|▎ | 2733/100000 [31:49<18:28:59, 1.46step/s] Training: 3%|▎ | 2734/100000 [31:50<19:00:56, 1.42step/s] Training: 3%|▎ | 2735/100000 [31:50<19:28:36, 1.39step/s] Training: 3%|▎ | 2736/100000 [31:51<19:54:02, 1.36step/s] Training: 3%|▎ | 2737/100000 [31:52<20:02:45, 1.35step/s] Training: 3%|▎ | 2738/100000 [31:53<20:07:07, 1.34step/s] Training: 3%|▎ | 2739/100000 [31:53<19:03:38, 1.42step/s] Training: 3%|▎ | 2740/100000 [31:54<19:56:26, 1.35step/s] Training: 3%|▎ | 2741/100000 [31:55<18:59:52, 1.42step/s] Training: 3%|▎ | 2742/100000 [31:55<19:55:07, 1.36step/s] Training: 3%|▎ | 2743/100000 [31:56<19:42:56, 1.37step/s] Training: 3%|▎ | 2744/100000 [31:57<20:07:57, 1.34step/s] Training: 3%|▎ | 2745/100000 [31:58<19:54:14, 1.36step/s] Training: 3%|▎ | 2746/100000 [31:58<20:06:46, 1.34step/s] Training: 3%|▎ | 2747/100000 [31:59<20:09:29, 1.34step/s] Training: 3%|▎ | 2748/100000 [32:00<19:14:31, 1.40step/s] Training: 3%|▎ | 2749/100000 [32:00<18:29:17, 1.46step/s] Training: 3%|▎ | 2750/100000 [32:01<19:02:05, 1.42step/s] Training: 3%|▎ | 2751/100000 [32:02<19:22:59, 1.39step/s] Training: 3%|▎ | 2752/100000 [32:03<20:06:19, 1.34step/s] Training: 3%|▎ | 2753/100000 [32:03<19:10:38, 1.41step/s] Training: 3%|▎ | 2754/100000 [32:04<20:10:20, 1.34step/s] Training: 3%|▎ | 2755/100000 [32:05<19:48:20, 1.36step/s] Training: 3%|▎ | 2756/100000 [32:06<19:03:52, 1.42step/s] Training: 3%|▎ | 2757/100000 [32:06<18:33:15, 1.46step/s] Training: 3%|▎ | 2758/100000 [32:07<19:14:14, 1.40step/s] Training: 3%|▎ | 2759/100000 [32:08<19:47:56, 1.36step/s] Training: 3%|▎ | 2760/100000 [32:09<20:10:21, 1.34step/s] Training: 3%|▎ | 2761/100000 [32:09<20:36:59, 1.31step/s] Training: 3%|▎ | 2762/100000 [32:10<20:56:44, 1.29step/s] Training: 3%|▎ | 2763/100000 [32:11<20:21:42, 1.33step/s] Training: 3%|▎ | 2764/100000 [32:11<19:23:45, 1.39step/s] Training: 3%|▎ | 2765/100000 [32:12<18:38:49, 1.45step/s] Training: 3%|▎ | 2766/100000 [32:13<19:24:44, 1.39step/s] Training: 3%|▎ | 2767/100000 [32:14<20:28:39, 1.32step/s] Training: 3%|▎ | 2768/100000 [32:14<20:32:41, 1.31step/s] Training: 3%|▎ | 2769/100000 [32:15<20:34:08, 1.31step/s] Training: 3%|▎ | 2770/100000 [32:16<20:26:12, 1.32step/s] Training: 3%|▎ | 2771/100000 [32:17<19:18:54, 1.40step/s] Training: 3%|▎ | 2772/100000 [32:17<19:35:45, 1.38step/s] Training: 3%|▎ | 2773/100000 [32:18<18:34:59, 1.45step/s] Training: 3%|▎ | 2774/100000 [32:19<18:57:10, 1.42step/s] Training: 3%|▎ | 2775/100000 [32:19<19:19:18, 1.40step/s] Training: 3%|▎ | 2776/100000 [32:20<19:43:52, 1.37step/s] Training: 3%|▎ | 2777/100000 [32:21<19:51:55, 1.36step/s] Training: 3%|▎ | 2778/100000 [32:22<20:03:18, 1.35step/s] Training: 3%|▎ | 2779/100000 [32:22<20:13:43, 1.34step/s] Training: 3%|▎ | 2780/100000 [32:23<19:02:57, 1.42step/s] Training: 3%|▎ | 2781/100000 [32:24<18:23:29, 1.47step/s] Training: 3%|▎ | 2782/100000 [32:24<18:38:32, 1.45step/s] Training: 3%|▎ | 2783/100000 [32:25<19:22:45, 1.39step/s] Training: 3%|▎ | 2784/100000 [32:26<19:42:07, 1.37step/s] Training: 3%|▎ | 2785/100000 [32:27<18:38:43, 1.45step/s] Training: 3%|▎ | 2786/100000 [32:27<19:12:10, 1.41step/s] Training: 3%|▎ | 2787/100000 [32:28<19:07:03, 1.41step/s] Training: 3%|▎ | 2788/100000 [32:29<18:14:02, 1.48step/s] Training: 3%|▎ | 2789/100000 [32:29<17:38:32, 1.53step/s] Training: 3%|▎ | 2790/100000 [32:30<18:42:00, 1.44step/s] Training: 3%|▎ | 2791/100000 [32:31<19:35:11, 1.38step/s] Training: 3%|▎ | 2792/100000 [32:32<19:54:29, 1.36step/s] Training: 3%|▎ | 2793/100000 [32:32<20:12:22, 1.34step/s] Training: 3%|▎ | 2794/100000 [32:33<20:17:58, 1.33step/s] Training: 3%|▎ | 2795/100000 [32:34<20:05:59, 1.34step/s] Training: 3%|▎ | 2796/100000 [32:34<19:12:52, 1.41step/s] Training: 3%|▎ | 2797/100000 [32:35<18:21:35, 1.47step/s] Training: 3%|▎ | 2798/100000 [32:36<19:05:27, 1.41step/s] Training: 3%|▎ | 2799/100000 [32:37<19:42:36, 1.37step/s] Training: 3%|▎ | 2800/100000 [32:37<19:47:15, 1.36step/s]INFO 2026-03-12 03:54:53 ot_train.py:435 step:3K smpl:179K ep:610 epch:2.37 loss:0.504 grdn:13.472 lr:2.0e-05 updt_s:0.708 data_s:0.012 Training: 3%|▎ | 2801/100000 [32:38<20:11:14, 1.34step/s] Training: 3%|▎ | 2802/100000 [32:39<20:12:44, 1.34step/s] Training: 3%|▎ | 2803/100000 [32:40<19:09:11, 1.41step/s] Training: 3%|▎ | 2804/100000 [32:40<19:34:29, 1.38step/s] Training: 3%|▎ | 2805/100000 [32:41<18:35:37, 1.45step/s] Training: 3%|▎ | 2806/100000 [32:42<18:47:49, 1.44step/s] Training: 3%|▎ | 2807/100000 [32:42<18:56:39, 1.43step/s] Training: 3%|▎ | 2808/100000 [32:43<19:40:56, 1.37step/s] Training: 3%|▎ | 2809/100000 [32:44<19:41:38, 1.37step/s] Training: 3%|▎ | 2810/100000 [32:45<19:53:07, 1.36step/s] Training: 3%|▎ | 2811/100000 [32:45<20:03:54, 1.35step/s] Training: 3%|▎ | 2812/100000 [32:46<18:58:26, 1.42step/s] Training: 3%|▎ | 2813/100000 [32:47<18:18:41, 1.47step/s] Training: 3%|▎ | 2814/100000 [32:47<18:44:09, 1.44step/s] Training: 3%|▎ | 2815/100000 [32:48<18:08:10, 1.49step/s] Training: 3%|▎ | 2816/100000 [32:49<20:02:54, 1.35step/s] Training: 3%|▎ | 2817/100000 [32:49<19:02:16, 1.42step/s] Training: 3%|▎ | 2818/100000 [32:50<19:47:51, 1.36step/s] Training: 3%|▎ | 2819/100000 [32:51<20:03:50, 1.35step/s] Training: 3%|▎ | 2820/100000 [32:52<19:00:48, 1.42step/s] Training: 3%|▎ | 2821/100000 [32:52<18:26:59, 1.46step/s] Training: 3%|▎ | 2822/100000 [32:53<19:03:54, 1.42step/s] Training: 3%|▎ | 2823/100000 [32:54<19:32:24, 1.38step/s] Training: 3%|▎ | 2824/100000 [32:55<19:56:19, 1.35step/s] Training: 3%|▎ | 2825/100000 [32:55<20:30:57, 1.32step/s] Training: 3%|▎ | 2826/100000 [32:56<20:49:20, 1.30step/s] Training: 3%|▎ | 2827/100000 [32:57<20:20:10, 1.33step/s] Training: 3%|▎ | 2828/100000 [32:58<19:16:55, 1.40step/s] Training: 3%|▎ | 2829/100000 [32:58<18:31:01, 1.46step/s] Training: 3%|▎ | 2830/100000 [32:59<19:14:00, 1.40step/s] Training: 3%|▎ | 2831/100000 [33:00<19:47:53, 1.36step/s] Training: 3%|▎ | 2832/100000 [33:00<19:57:12, 1.35step/s] Training: 3%|▎ | 2833/100000 [33:01<20:14:59, 1.33step/s] Training: 3%|▎ | 2834/100000 [33:02<20:18:02, 1.33step/s] Training: 3%|▎ | 2835/100000 [33:03<19:13:16, 1.40step/s] Training: 3%|▎ | 2836/100000 [33:03<19:26:27, 1.39step/s] Training: 3%|▎ | 2837/100000 [33:04<18:42:58, 1.44step/s] Training: 3%|▎ | 2838/100000 [33:05<18:53:23, 1.43step/s] Training: 3%|▎ | 2839/100000 [33:05<19:07:25, 1.41step/s] Training: 3%|▎ | 2840/100000 [33:06<19:48:20, 1.36step/s] Training: 3%|▎ | 2841/100000 [33:07<19:49:32, 1.36step/s] Training: 3%|▎ | 2842/100000 [33:08<19:57:53, 1.35step/s] Training: 3%|▎ | 2843/100000 [33:08<20:16:02, 1.33step/s] Training: 3%|▎ | 2844/100000 [33:09<19:13:36, 1.40step/s] Training: 3%|▎ | 2845/100000 [33:10<18:31:24, 1.46step/s] Training: 3%|▎ | 2846/100000 [33:10<18:48:08, 1.44step/s] Training: 3%|▎ | 2847/100000 [33:11<18:14:51, 1.48step/s] Training: 3%|▎ | 2848/100000 [33:12<19:36:45, 1.38step/s] Training: 3%|▎ | 2849/100000 [33:13<18:47:42, 1.44step/s] Training: 3%|▎ | 2850/100000 [33:13<19:17:19, 1.40step/s] Training: 3%|▎ | 2851/100000 [33:14<19:35:41, 1.38step/s] Training: 3%|▎ | 2852/100000 [33:15<18:49:58, 1.43step/s] Training: 3%|▎ | 2853/100000 [33:15<18:12:42, 1.48step/s] Training: 3%|▎ | 2854/100000 [33:16<18:52:02, 1.43step/s] Training: 3%|▎ | 2855/100000 [33:17<19:20:34, 1.40step/s] Training: 3%|▎ | 2856/100000 [33:18<19:57:00, 1.35step/s] Training: 3%|▎ | 2857/100000 [33:18<20:06:53, 1.34step/s] Training: 3%|▎ | 2858/100000 [33:19<20:14:37, 1.33step/s] Training: 3%|▎ | 2859/100000 [33:20<19:41:34, 1.37step/s] Training: 3%|▎ | 2860/100000 [33:20<18:39:51, 1.45step/s] Training: 3%|▎ | 2861/100000 [33:21<18:08:33, 1.49step/s] Training: 3%|▎ | 2862/100000 [33:22<18:50:33, 1.43step/s] Training: 3%|▎ | 2863/100000 [33:23<19:20:40, 1.39step/s] Training: 3%|▎ | 2864/100000 [33:23<19:50:25, 1.36step/s] Training: 3%|▎ | 2865/100000 [33:24<19:57:27, 1.35step/s] Training: 3%|▎ | 2866/100000 [33:25<20:17:50, 1.33step/s] Training: 3%|▎ | 2867/100000 [33:25<19:14:10, 1.40step/s] Training: 3%|▎ | 2868/100000 [33:26<19:31:30, 1.38step/s] Training: 3%|▎ | 2869/100000 [33:27<18:38:00, 1.45step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=7862 Training: 3%|▎ | 2870/100000 [33:28<18:49:29, 1.43step/s] Training: 3%|▎ | 2871/100000 [33:28<19:09:12, 1.41step/s] Training: 3%|▎ | 2872/100000 [33:29<20:03:28, 1.35step/s] Training: 3%|▎ | 2873/100000 [33:30<20:21:07, 1.33step/s] Training: 3%|▎ | 2874/100000 [33:31<20:40:50, 1.30step/s] Training: 3%|▎ | 2875/100000 [33:31<20:39:06, 1.31step/s] Training: 3%|▎ | 2876/100000 [33:32<19:40:56, 1.37step/s] Training: 3%|▎ | 2877/100000 [33:33<18:59:13, 1.42step/s] Training: 3%|▎ | 2878/100000 [33:33<19:19:44, 1.40step/s] Training: 3%|▎ | 2879/100000 [33:34<18:35:55, 1.45step/s] Training: 3%|▎ | 2880/100000 [33:35<20:10:30, 1.34step/s] Training: 3%|▎ | 2881/100000 [33:36<19:10:03, 1.41step/s] Training: 3%|▎ | 2882/100000 [33:36<19:45:16, 1.37step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=26175 Training: 3%|▎ | 2883/100000 [33:37<20:01:11, 1.35step/s] Training: 3%|▎ | 2884/100000 [33:38<18:58:00, 1.42step/s] Training: 3%|▎ | 2885/100000 [33:38<18:10:45, 1.48step/s] Training: 3%|▎ | 2886/100000 [33:39<18:58:32, 1.42step/s] Training: 3%|▎ | 2887/100000 [33:40<19:28:25, 1.39step/s] Training: 3%|▎ | 2888/100000 [33:41<19:57:09, 1.35step/s] Training: 3%|▎ | 2889/100000 [33:41<20:13:32, 1.33step/s] Training: 3%|▎ | 2890/100000 [33:42<20:27:21, 1.32step/s] Training: 3%|▎ | 2891/100000 [33:43<20:03:21, 1.34step/s] Training: 3%|▎ | 2892/100000 [33:44<19:08:02, 1.41step/s] Training: 3%|▎ | 2893/100000 [33:44<18:30:50, 1.46step/s] Training: 3%|▎ | 2894/100000 [33:45<19:11:44, 1.41step/s] Training: 3%|▎ | 2895/100000 [33:46<19:40:14, 1.37step/s] Training: 3%|▎ | 2896/100000 [33:47<19:57:15, 1.35step/s] Training: 3%|▎ | 2897/100000 [33:47<20:06:53, 1.34step/s] Training: 3%|▎ | 2898/100000 [33:48<20:21:20, 1.33step/s] Training: 3%|▎ | 2899/100000 [33:49<19:13:46, 1.40step/s] Training: 3%|▎ | 2900/100000 [33:49<19:25:54, 1.39step/s]INFO 2026-03-12 03:56:05 ot_train.py:435 step:3K smpl:186K ep:632 epch:2.46 loss:0.542 grdn:13.107 lr:2.0e-05 updt_s:0.706 data_s:0.012 Training: 3%|▎ | 2901/100000 [33:50<18:45:50, 1.44step/s] Training: 3%|▎ | 2902/100000 [33:51<18:53:16, 1.43step/s] Training: 3%|▎ | 2903/100000 [33:51<18:56:43, 1.42step/s] Training: 3%|▎ | 2904/100000 [33:52<19:48:45, 1.36step/s] Training: 3%|▎ | 2905/100000 [33:53<19:48:45, 1.36step/s] Training: 3%|▎ | 2906/100000 [33:54<20:05:44, 1.34step/s] Training: 3%|▎ | 2907/100000 [33:55<20:06:33, 1.34step/s] Training: 3%|▎ | 2908/100000 [33:55<19:07:30, 1.41step/s] Training: 3%|▎ | 2909/100000 [33:56<18:31:26, 1.46step/s] Training: 3%|▎ | 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[34:57<19:24:28, 1.39step/s] Training: 3%|▎ | 2996/100000 [34:58<19:38:45, 1.37step/s] Training: 3%|▎ | 2997/100000 [34:59<18:49:24, 1.43step/s] Training: 3%|▎ | 2998/100000 [34:59<18:57:48, 1.42step/s] Training: 3%|▎ | 2999/100000 [35:00<19:21:22, 1.39step/s] Training: 3%|▎ | 3000/100000 [35:01<20:01:45, 1.35step/s]INFO 2026-03-12 03:57:17 ot_train.py:435 step:3K smpl:192K ep:654 epch:2.54 loss:0.526 grdn:13.057 lr:2.0e-05 updt_s:0.701 data_s:0.013 Training: 3%|▎ | 3001/100000 [35:02<20:13:33, 1.33step/s] Training: 3%|▎ | 3002/100000 [35:02<20:25:45, 1.32step/s] Training: 3%|▎ | 3003/100000 [35:03<19:15:56, 1.40step/s] Training: 3%|▎ | 3004/100000 [35:04<19:38:39, 1.37step/s] Training: 3%|▎ | 3005/100000 [35:04<18:35:32, 1.45step/s] Training: 3%|▎ | 3006/100000 [35:05<19:04:02, 1.41step/s] Training: 3%|▎ | 3007/100000 [35:06<19:31:21, 1.38step/s] Training: 3%|▎ | 3008/100000 [35:07<20:00:31, 1.35step/s] Training: 3%|▎ | 3009/100000 [35:07<19:52:44, 1.36step/s] Training: 3%|▎ | 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[36:08<18:13:04, 1.48step/s] Training: 3%|▎ | 3096/100000 [36:09<18:58:49, 1.42step/s] Training: 3%|▎ | 3097/100000 [36:10<19:28:34, 1.38step/s] Training: 3%|▎ | 3098/100000 [36:11<19:32:15, 1.38step/s] Training: 3%|▎ | 3099/100000 [36:11<18:28:21, 1.46step/s] Training: 3%|▎ | 3100/100000 [36:12<18:37:08, 1.45step/s]INFO 2026-03-12 03:58:28 ot_train.py:435 step:3K smpl:198K ep:675 epch:2.63 loss:0.487 grdn:12.990 lr:2.0e-05 updt_s:0.696 data_s:0.013 Training: 3%|▎ | 3101/100000 [36:13<18:02:35, 1.49step/s] Training: 3%|▎ | 3102/100000 [36:13<18:20:43, 1.47step/s] Training: 3%|▎ | 3103/100000 [36:14<17:42:20, 1.52step/s] Training: 3%|▎ | 3104/100000 [36:15<18:47:34, 1.43step/s] Training: 3%|▎ | 3105/100000 [36:15<18:54:49, 1.42step/s] Training: 3%|▎ | 3106/100000 [36:16<19:24:15, 1.39step/s] Training: 3%|▎ | 3107/100000 [36:17<18:41:46, 1.44step/s] Training: 3%|▎ | 3108/100000 [36:18<18:53:23, 1.42step/s] Training: 3%|▎ | 3109/100000 [36:18<18:18:08, 1.47step/s] Training: 3%|▎ | 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[37:18<17:57:36, 1.50step/s] Training: 3%|▎ | 3196/100000 [37:19<18:59:02, 1.42step/s] Training: 3%|▎ | 3197/100000 [37:20<18:17:56, 1.47step/s] Training: 3%|▎ | 3198/100000 [37:21<18:42:26, 1.44step/s] Training: 3%|▎ | 3199/100000 [37:21<18:05:55, 1.49step/s] Training: 3%|▎ | 3200/100000 [37:22<19:02:09, 1.41step/s]INFO 2026-03-12 03:59:38 ot_train.py:435 step:3K smpl:205K ep:697 epch:2.71 loss:0.510 grdn:14.229 lr:2.0e-05 updt_s:0.685 data_s:0.013 Training: 3%|▎ | 3201/100000 [37:23<19:17:39, 1.39step/s] Training: 3%|▎ | 3202/100000 [37:23<18:40:20, 1.44step/s] Training: 3%|▎ | 3203/100000 [37:24<17:55:45, 1.50step/s] Training: 3%|▎ | 3204/100000 [37:25<18:38:06, 1.44step/s] Training: 3%|▎ | 3205/100000 [37:25<18:02:11, 1.49step/s] Training: 3%|▎ | 3206/100000 [37:26<18:35:48, 1.45step/s] Training: 3%|▎ | 3207/100000 [37:27<18:01:36, 1.49step/s] Training: 3%|▎ | 3208/100000 [37:27<18:55:34, 1.42step/s] Training: 3%|▎ | 3209/100000 [37:28<19:24:21, 1.39step/s] Training: 3%|▎ | 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[37:41<17:52:12, 1.50step/s] Training: 3%|▎ | 3228/100000 [37:41<18:51:48, 1.43step/s] Training: 3%|▎ | 3229/100000 [37:42<18:20:49, 1.47step/s] Training: 3%|▎ | 3230/100000 [37:43<19:01:42, 1.41step/s] Training: 3%|▎ | 3231/100000 [37:43<18:33:56, 1.45step/s] Training: 3%|▎ | 3232/100000 [37:44<19:23:49, 1.39step/s] Training: 3%|▎ | 3233/100000 [37:45<20:32:45, 1.31step/s] Training: 3%|▎ | 3234/100000 [37:46<19:18:06, 1.39step/s] Training: 3%|▎ | 3235/100000 [37:46<18:26:27, 1.46step/s] Training: 3%|▎ | 3236/100000 [37:47<19:03:15, 1.41step/s] Training: 3%|▎ | 3237/100000 [37:48<18:26:48, 1.46step/s] Training: 3%|▎ | 3238/100000 [37:48<19:02:38, 1.41step/s] Training: 3%|▎ | 3239/100000 [37:49<18:12:09, 1.48step/s] Training: 3%|▎ | 3240/100000 [37:50<18:37:38, 1.44step/s] Training: 3%|▎ | 3241/100000 [37:50<19:00:20, 1.41step/s] Training: 3%|▎ | 3242/100000 [37:51<18:24:24, 1.46step/s] Training: 3%|▎ | 3243/100000 [37:52<17:48:06, 1.51step/s] Training: 3%|▎ | 3244/100000 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[38:16<18:42:34, 1.44step/s] Training: 3%|▎ | 3279/100000 [38:17<17:56:24, 1.50step/s] Training: 3%|▎ | 3280/100000 [38:17<18:34:19, 1.45step/s] Training: 3%|▎ | 3281/100000 [38:18<19:10:46, 1.40step/s] Training: 3%|▎ | 3282/100000 [38:19<18:15:34, 1.47step/s] Training: 3%|▎ | 3283/100000 [38:19<17:37:12, 1.52step/s] Training: 3%|▎ | 3284/100000 [38:20<18:25:23, 1.46step/s] Training: 3%|▎ | 3285/100000 [38:21<17:54:05, 1.50step/s] Training: 3%|▎ | 3286/100000 [38:21<18:51:53, 1.42step/s] Training: 3%|▎ | 3287/100000 [38:22<18:29:25, 1.45step/s] Training: 3%|▎ | 3288/100000 [38:23<19:39:59, 1.37step/s] Training: 3%|▎ | 3289/100000 [38:24<20:33:55, 1.31step/s] Training: 3%|▎ | 3290/100000 [38:24<19:35:00, 1.37step/s] Training: 3%|▎ | 3291/100000 [38:25<18:57:28, 1.42step/s] Training: 3%|▎ | 3292/100000 [38:26<19:55:29, 1.35step/s] Training: 3%|▎ | 3293/100000 [38:26<18:54:54, 1.42step/s] Training: 3%|▎ | 3294/100000 [38:27<18:51:40, 1.42step/s] Training: 3%|▎ | 3295/100000 [38:28<18:15:09, 1.47step/s] Training: 3%|▎ | 3296/100000 [38:29<19:08:42, 1.40step/s] Training: 3%|▎ | 3297/100000 [38:29<19:38:26, 1.37step/s] Training: 3%|▎ | 3298/100000 [38:30<18:47:37, 1.43step/s] Training: 3%|▎ | 3299/100000 [38:31<18:00:28, 1.49step/s] Training: 3%|▎ | 3300/100000 [38:31<19:01:02, 1.41step/s]INFO 2026-03-12 04:00:47 ot_train.py:435 step:3K smpl:211K ep:719 epch:2.80 loss:0.521 grdn:13.200 lr:2.0e-05 updt_s:0.680 data_s:0.012 Training: 3%|▎ | 3301/100000 [38:32<18:07:25, 1.48step/s] Training: 3%|▎ | 3302/100000 [38:33<18:59:17, 1.41step/s] Training: 3%|▎ | 3303/100000 [38:33<18:07:52, 1.48step/s] Training: 3%|▎ | 3304/100000 [38:34<18:51:48, 1.42step/s] Training: 3%|▎ | 3305/100000 [38:35<19:21:10, 1.39step/s] Training: 3%|▎ | 3306/100000 [38:35<18:36:36, 1.44step/s] Training: 3%|▎ | 3307/100000 [38:36<18:07:54, 1.48step/s] Training: 3%|▎ | 3308/100000 [38:37<18:33:25, 1.45step/s] Training: 3%|▎ | 3309/100000 [38:37<18:05:52, 1.48step/s] Training: 3%|▎ | 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[39:37<17:56:11, 1.50step/s] Training: 3%|▎ | 3396/100000 [39:38<18:47:21, 1.43step/s] Training: 3%|▎ | 3397/100000 [39:38<18:05:42, 1.48step/s] Training: 3%|▎ | 3398/100000 [39:39<18:50:58, 1.42step/s] Training: 3%|▎ | 3399/100000 [39:40<18:17:26, 1.47step/s] Training: 3%|▎ | 3400/100000 [39:41<18:59:17, 1.41step/s]INFO 2026-03-12 04:01:57 ot_train.py:435 step:3K smpl:218K ep:741 epch:2.88 loss:0.540 grdn:13.326 lr:2.0e-05 updt_s:0.679 data_s:0.012 Training: 3%|▎ | 3401/100000 [39:41<19:34:41, 1.37step/s] Training: 3%|▎ | 3402/100000 [39:42<18:44:16, 1.43step/s] Training: 3%|▎ | 3403/100000 [39:43<18:14:21, 1.47step/s] Training: 3%|▎ | 3404/100000 [39:43<19:09:28, 1.40step/s] Training: 3%|▎ | 3405/100000 [39:44<18:35:41, 1.44step/s] Training: 3%|▎ | 3406/100000 [39:45<19:04:34, 1.41step/s] Training: 3%|▎ | 3407/100000 [39:45<18:31:59, 1.45step/s] Training: 3%|▎ | 3408/100000 [39:46<19:02:21, 1.41step/s] Training: 3%|▎ | 3409/100000 [39:47<19:43:28, 1.36step/s] Training: 3%|▎ | 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[40:07<19:24:51, 1.38step/s] Training: 3%|▎ | 3439/100000 [40:08<18:24:24, 1.46step/s] Training: 3%|▎ | 3440/100000 [40:09<19:00:44, 1.41step/s] Training: 3%|▎ | 3441/100000 [40:10<19:28:09, 1.38step/s] Training: 3%|▎ | 3442/100000 [40:10<18:27:40, 1.45step/s] Training: 3%|▎ | 3443/100000 [40:11<17:45:47, 1.51step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=29886 Training: 3%|▎ | 3444/100000 [40:12<18:53:01, 1.42step/s] Training: 3%|▎ | 3445/100000 [40:12<18:51:27, 1.42step/s] Training: 3%|▎ | 3446/100000 [40:13<18:54:47, 1.42step/s] Training: 3%|▎ | 3447/100000 [40:14<18:04:18, 1.48step/s] Training: 3%|▎ | 3448/100000 [40:14<18:50:57, 1.42step/s] Training: 3%|▎ | 3449/100000 [40:15<19:31:18, 1.37step/s] Training: 3%|▎ | 3450/100000 [40:16<18:38:48, 1.44step/s] Training: 3%|▎ | 3451/100000 [40:16<18:13:45, 1.47step/s] Training: 3%|▎ | 3452/100000 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[40:41<18:46:43, 1.43step/s] Training: 3%|▎ | 3487/100000 [40:42<18:08:32, 1.48step/s] Training: 3%|▎ | 3488/100000 [40:43<19:01:15, 1.41step/s] Training: 3%|▎ | 3489/100000 [40:43<19:27:09, 1.38step/s] Training: 3%|▎ | 3490/100000 [40:44<18:39:34, 1.44step/s] Training: 3%|▎ | 3491/100000 [40:45<18:11:30, 1.47step/s] Training: 3%|▎ | 3492/100000 [40:45<18:22:26, 1.46step/s] Training: 3%|▎ | 3493/100000 [40:46<17:42:36, 1.51step/s] Training: 3%|▎ | 3494/100000 [40:47<18:35:17, 1.44step/s] Training: 3%|▎ | 3495/100000 [40:47<17:46:35, 1.51step/s] Training: 3%|▎ | 3496/100000 [40:48<18:43:01, 1.43step/s] Training: 3%|▎ | 3497/100000 [40:49<19:24:06, 1.38step/s] Training: 3%|▎ | 3498/100000 [40:50<18:40:50, 1.43step/s] Training: 3%|▎ | 3499/100000 [40:50<18:12:52, 1.47step/s] Training: 4%|▎ | 3500/100000 [40:51<18:51:34, 1.42step/s]INFO 2026-03-12 04:03:07 ot_train.py:435 step:4K smpl:224K ep:762 epch:2.97 loss:0.539 grdn:13.543 lr:2.0e-05 updt_s:0.689 data_s:0.012 Training: 4%|▎ | 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[41:03<18:48:35, 1.42step/s] Training: 4%|▎ | 3519/100000 [41:04<18:10:35, 1.47step/s] Training: 4%|▎ | 3520/100000 [41:05<18:55:58, 1.42step/s] Training: 4%|▎ | 3521/100000 [41:06<19:42:00, 1.36step/s] Training: 4%|▎ | 3522/100000 [41:06<18:54:27, 1.42step/s] Training: 4%|▎ | 3523/100000 [41:07<18:22:52, 1.46step/s] Training: 4%|▎ | 3524/100000 [41:08<18:21:21, 1.46step/s] Training: 4%|▎ | 3525/100000 [41:08<17:42:53, 1.51step/s] Training: 4%|▎ | 3526/100000 [41:09<18:21:22, 1.46step/s] Training: 4%|▎ | 3527/100000 [41:10<17:51:34, 1.50step/s] Training: 4%|▎ | 3528/100000 [41:10<18:05:55, 1.48step/s] Training: 4%|▎ | 3529/100000 [41:11<18:47:44, 1.43step/s] Training: 4%|▎ | 3530/100000 [41:12<18:00:40, 1.49step/s] Training: 4%|▎ | 3531/100000 [41:12<17:27:57, 1.53step/s] Training: 4%|▎ | 3532/100000 [41:13<18:02:51, 1.48step/s] Training: 4%|▎ | 3533/100000 [41:14<17:28:03, 1.53step/s] Training: 4%|▎ | 3534/100000 [41:14<17:57:13, 1.49step/s] Training: 4%|▎ | 3535/100000 [41:15<17:17:22, 1.55step/s] Training: 4%|▎ | 3536/100000 [41:16<18:00:58, 1.49step/s] Training: 4%|▎ | 3537/100000 [41:16<18:31:47, 1.45step/s] Training: 4%|▎ | 3538/100000 [41:17<17:57:21, 1.49step/s] Training: 4%|▎ | 3539/100000 [41:17<17:18:38, 1.55step/s] Training: 4%|▎ | 3540/100000 [41:20<31:00:34, 1.16s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 4%|▎ | 3541/100000 [41:24<55:59:01, 2.09s/step] Training: 4%|▎ | 3542/100000 [41:25<45:46:33, 1.71s/step] Training: 4%|▎ | 3543/100000 [41:26<37:15:59, 1.39s/step] Training: 4%|▎ | 3544/100000 [41:26<32:35:53, 1.22s/step] Training: 4%|▎ | 3545/100000 [41:27<29:39:56, 1.11s/step] Training: 4%|▎ | 3546/100000 [41:28<25:49:52, 1.04step/s] Training: 4%|▎ | 3547/100000 [41:28<23:09:45, 1.16step/s] Training: 4%|▎ | 3548/100000 [41:29<22:42:01, 1.18step/s] Training: 4%|▎ | 3549/100000 [41:30<20:52:28, 1.28step/s] Training: 4%|▎ | 3550/100000 [41:31<20:59:45, 1.28step/s] Training: 4%|▎ | 3551/100000 [41:31<19:42:52, 1.36step/s] Training: 4%|▎ | 3552/100000 [41:32<19:57:20, 1.34step/s] Training: 4%|▎ | 3553/100000 [41:33<20:05:06, 1.33step/s] Training: 4%|▎ | 3554/100000 [41:33<19:07:30, 1.40step/s] Training: 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3572/100000 [41:46<18:53:11, 1.42step/s] Training: 4%|▎ | 3573/100000 [41:47<18:25:55, 1.45step/s] Training: 4%|▎ | 3574/100000 [41:48<20:29:03, 1.31step/s] Training: 4%|▎ | 3575/100000 [41:48<19:20:51, 1.38step/s] Training: 4%|▎ | 3576/100000 [41:49<20:11:08, 1.33step/s] Training: 4%|▎ | 3577/100000 [41:50<20:41:28, 1.29step/s] Training: 4%|▎ | 3578/100000 [41:51<19:43:14, 1.36step/s] Training: 4%|▎ | 3579/100000 [41:51<18:49:14, 1.42step/s] Training: 4%|▎ | 3580/100000 [41:52<19:27:13, 1.38step/s] Training: 4%|▎ | 3581/100000 [41:53<18:42:52, 1.43step/s] Training: 4%|▎ | 3582/100000 [41:53<19:36:29, 1.37step/s] Training: 4%|▎ | 3583/100000 [41:54<18:48:43, 1.42step/s] Training: 4%|▎ | 3584/100000 [41:55<19:25:10, 1.38step/s] Training: 4%|▎ | 3585/100000 [41:56<19:51:23, 1.35step/s] Training: 4%|▎ | 3586/100000 [41:56<18:52:53, 1.42step/s] Training: 4%|▎ | 3587/100000 [41:57<18:25:39, 1.45step/s] Training: 4%|▎ | 3588/100000 [41:58<18:47:56, 1.42step/s] Training: 4%|▎ | 3589/100000 [41:58<18:08:39, 1.48step/s] Training: 4%|▎ | 3590/100000 [41:59<19:11:28, 1.40step/s] Training: 4%|▎ | 3591/100000 [42:00<18:29:39, 1.45step/s] Training: 4%|▎ | 3592/100000 [42:00<18:49:31, 1.42step/s] Training: 4%|▎ | 3593/100000 [42:01<19:23:49, 1.38step/s] Training: 4%|▎ | 3594/100000 [42:02<18:29:15, 1.45step/s] Training: 4%|▎ | 3595/100000 [42:02<17:56:00, 1.49step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=69852 Training: 4%|▎ | 3596/100000 [42:03<18:53:12, 1.42step/s] Training: 4%|▎ | 3597/100000 [42:04<18:23:06, 1.46step/s] Training: 4%|▎ | 3598/100000 [42:05<20:00:26, 1.34step/s] Training: 4%|▎ | 3599/100000 [42:05<18:56:53, 1.41step/s] Training: 4%|▎ | 3600/100000 [42:06<19:34:01, 1.37step/s]INFO 2026-03-12 04:04:22 ot_train.py:435 step:4K smpl:230K ep:784 epch:3.05 loss:0.465 grdn:13.319 lr:2.0e-05 updt_s:0.690 data_s:0.059 Training: 4%|▎ | 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[42:31<18:52:25, 1.42step/s] Training: 4%|▎ | 3636/100000 [42:31<19:14:12, 1.39step/s] Training: 4%|▎ | 3637/100000 [42:32<18:28:10, 1.45step/s] Training: 4%|▎ | 3638/100000 [42:33<19:23:44, 1.38step/s] Training: 4%|▎ | 3639/100000 [42:33<18:33:59, 1.44step/s] Training: 4%|▎ | 3640/100000 [42:34<19:26:46, 1.38step/s] Training: 4%|▎ | 3641/100000 [42:35<20:03:50, 1.33step/s] Training: 4%|▎ | 3642/100000 [42:36<20:23:24, 1.31step/s] Training: 4%|▎ | 3643/100000 [42:36<19:26:49, 1.38step/s] Training: 4%|▎ | 3644/100000 [42:37<19:54:07, 1.34step/s] Training: 4%|▎ | 3645/100000 [42:38<19:04:50, 1.40step/s] Training: 4%|▎ | 3646/100000 [42:39<20:16:29, 1.32step/s] Training: 4%|▎ | 3647/100000 [42:39<19:16:59, 1.39step/s] Training: 4%|▎ | 3648/100000 [42:40<19:52:17, 1.35step/s] Training: 4%|▎ | 3649/100000 [42:41<19:56:19, 1.34step/s] Training: 4%|▎ | 3650/100000 [42:42<19:57:10, 1.34step/s] Training: 4%|▎ | 3651/100000 [42:42<19:08:25, 1.40step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=69852 Training: 4%|▎ | 3652/100000 [42:43<19:19:34, 1.38step/s] Training: 4%|▎ | 3653/100000 [42:44<18:38:39, 1.44step/s] Training: 4%|▎ | 3654/100000 [42:44<19:29:48, 1.37step/s] Training: 4%|▎ | 3655/100000 [42:45<18:47:30, 1.42step/s] Training: 4%|▎ | 3656/100000 [42:46<19:18:31, 1.39step/s] Training: 4%|▎ | 3657/100000 [42:47<20:02:04, 1.34step/s] Training: 4%|▎ | 3658/100000 [42:47<20:15:18, 1.32step/s] Training: 4%|▎ | 3659/100000 [42:48<19:22:26, 1.38step/s] Training: 4%|▎ | 3660/100000 [42:49<19:55:17, 1.34step/s] Training: 4%|▎ | 3661/100000 [42:49<18:51:47, 1.42step/s] Training: 4%|▎ | 3662/100000 [42:50<20:07:48, 1.33step/s] Training: 4%|▎ | 3663/100000 [42:51<19:06:58, 1.40step/s] Training: 4%|▎ | 3664/100000 [42:52<19:24:27, 1.38step/s] Training: 4%|▎ | 3665/100000 [42:53<19:49:12, 1.35step/s] Training: 4%|▎ | 3666/100000 [42:53<20:04:40, 1.33step/s] Training: 4%|▎ | 3667/100000 [42:54<19:13:45, 1.39step/s] Training: 4%|▎ | 3668/100000 [42:55<19:37:28, 1.36step/s] Training: 4%|▎ | 3669/100000 [42:55<18:51:33, 1.42step/s] Training: 4%|▎ | 3670/100000 [42:56<20:11:34, 1.33step/s] Training: 4%|▎ | 3671/100000 [42:57<19:03:05, 1.40step/s] Training: 4%|▎ | 3672/100000 [42:58<19:22:34, 1.38step/s] Training: 4%|▎ | 3673/100000 [42:58<19:40:57, 1.36step/s] Training: 4%|▎ | 3674/100000 [42:59<20:11:18, 1.33step/s] Training: 4%|▎ | 3675/100000 [43:00<19:22:19, 1.38step/s] Training: 4%|▎ | 3676/100000 [43:01<19:39:15, 1.36step/s] Training: 4%|▎ | 3677/100000 [43:01<18:47:21, 1.42step/s] Training: 4%|▎ | 3678/100000 [43:02<18:55:13, 1.41step/s] Training: 4%|▎ | 3679/100000 [43:03<20:05:41, 1.33step/s] Training: 4%|▎ | 3680/100000 [43:03<20:07:06, 1.33step/s] Training: 4%|▎ | 3681/100000 [43:04<19:51:27, 1.35step/s] Training: 4%|▎ | 3682/100000 [43:05<20:06:30, 1.33step/s] Training: 4%|▎ | 3683/100000 [43:06<19:06:21, 1.40step/s] Training: 4%|▎ | 3684/100000 [43:06<19:02:31, 1.41step/s] Training: 4%|▎ | 3685/100000 [43:07<18:26:10, 1.45step/s] Training: 4%|▎ | 3686/100000 [43:08<18:54:22, 1.42step/s] Training: 4%|▎ | 3687/100000 [43:09<19:40:05, 1.36step/s] Training: 4%|▎ | 3688/100000 [43:09<19:21:06, 1.38step/s] Training: 4%|▎ | 3689/100000 [43:10<19:45:58, 1.35step/s] Training: 4%|▎ | 3690/100000 [43:11<20:06:37, 1.33step/s] Training: 4%|▎ | 3691/100000 [43:11<19:05:54, 1.40step/s] Training: 4%|▎ | 3692/100000 [43:12<19:33:54, 1.37step/s] Training: 4%|▎ | 3693/100000 [43:13<18:45:28, 1.43step/s] Training: 4%|▎ | 3694/100000 [43:14<19:18:38, 1.39step/s] Training: 4%|▎ | 3695/100000 [43:14<19:56:32, 1.34step/s] Training: 4%|▎ | 3696/100000 [43:15<19:55:45, 1.34step/s] Training: 4%|▎ | 3697/100000 [43:16<19:59:03, 1.34step/s] Training: 4%|▎ | 3698/100000 [43:17<20:09:04, 1.33step/s] Training: 4%|▎ | 3699/100000 [43:17<19:06:21, 1.40step/s] Training: 4%|▎ | 3700/100000 [43:18<19:31:39, 1.37step/s]INFO 2026-03-12 04:05:34 ot_train.py:435 step:4K smpl:237K ep:806 epch:3.14 loss:0.464 grdn:11.996 lr:2.0e-05 updt_s:0.704 data_s:0.013 Training: 4%|▎ | 3701/100000 [43:19<18:35:38, 1.44step/s] Training: 4%|▎ | 3702/100000 [43:19<19:29:08, 1.37step/s] Training: 4%|▎ | 3703/100000 [43:20<20:44:26, 1.29step/s] Training: 4%|▎ | 3704/100000 [43:21<20:36:20, 1.30step/s] Training: 4%|▎ | 3705/100000 [43:22<20:52:26, 1.28step/s] Training: 4%|▎ | 3706/100000 [43:23<20:30:31, 1.30step/s] Training: 4%|▎ | 3707/100000 [43:23<19:41:47, 1.36step/s] Training: 4%|▎ | 3708/100000 [43:24<20:11:41, 1.32step/s] Training: 4%|▎ | 3709/100000 [43:25<19:14:28, 1.39step/s] Training: 4%|▎ | 3710/100000 [43:25<19:41:22, 1.36step/s] Training: 4%|▎ | 3711/100000 [43:26<20:48:50, 1.29step/s] Training: 4%|▎ | 3712/100000 [43:27<20:41:54, 1.29step/s] Training: 4%|▎ | 3713/100000 [43:28<20:16:10, 1.32step/s] Training: 4%|▎ | 3714/100000 [43:29<20:42:11, 1.29step/s] Training: 4%|▎ | 3715/100000 [43:29<19:32:47, 1.37step/s] Training: 4%|▎ | 3716/100000 [43:30<19:31:36, 1.37step/s] Training: 4%|▎ | 3717/100000 [43:31<18:34:44, 1.44step/s] Training: 4%|▎ | 3718/100000 [43:31<19:03:19, 1.40step/s] Training: 4%|▎ | 3719/100000 [43:32<19:46:33, 1.35step/s] Training: 4%|▎ | 3720/100000 [43:33<19:55:10, 1.34step/s] Training: 4%|▎ | 3721/100000 [43:34<20:29:30, 1.31step/s] Training: 4%|▎ | 3722/100000 [43:35<20:44:21, 1.29step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=62422 Training: 4%|▎ | 3723/100000 [43:35<19:32:22, 1.37step/s] Training: 4%|▎ | 3724/100000 [43:36<19:46:33, 1.35step/s] Training: 4%|▎ | 3725/100000 [43:37<18:57:06, 1.41step/s] Training: 4%|▎ | 3726/100000 [43:37<19:16:32, 1.39step/s] Training: 4%|▎ | 3727/100000 [43:38<19:23:46, 1.38step/s] Training: 4%|▎ | 3728/100000 [43:39<19:43:19, 1.36step/s] Training: 4%|▎ | 3729/100000 [43:40<20:07:12, 1.33step/s] Training: 4%|▎ | 3730/100000 [43:40<20:17:48, 1.32step/s] Training: 4%|▎ | 3731/100000 [43:41<19:19:26, 1.38step/s] Training: 4%|▎ | 3732/100000 [43:42<19:48:03, 1.35step/s] Training: 4%|▎ | 3733/100000 [43:42<18:55:55, 1.41step/s] Training: 4%|▎ | 3734/100000 [43:43<19:25:58, 1.38step/s] Training: 4%|▎ | 3735/100000 [43:44<20:00:07, 1.34step/s] Training: 4%|▎ | 3736/100000 [43:45<19:59:26, 1.34step/s] Training: 4%|▎ | 3737/100000 [43:46<20:05:03, 1.33step/s] Training: 4%|▎ | 3738/100000 [43:46<19:52:06, 1.35step/s] Training: 4%|▎ | 3739/100000 [43:47<19:08:41, 1.40step/s] Training: 4%|▎ | 3740/100000 [43:48<19:25:01, 1.38step/s] Training: 4%|▎ | 3741/100000 [43:48<18:26:03, 1.45step/s] Training: 4%|▎ | 3742/100000 [43:49<18:40:20, 1.43step/s] Training: 4%|▎ | 3743/100000 [43:50<19:33:15, 1.37step/s] Training: 4%|▎ | 3744/100000 [43:51<19:44:02, 1.35step/s] Training: 4%|▎ | 3745/100000 [43:51<19:33:23, 1.37step/s] Training: 4%|▎ | 3746/100000 [43:52<19:52:07, 1.35step/s] Training: 4%|▎ | 3747/100000 [43:53<18:55:56, 1.41step/s] Training: 4%|▎ | 3748/100000 [43:53<19:07:23, 1.40step/s] Training: 4%|▎ | 3749/100000 [43:54<18:13:40, 1.47step/s] Training: 4%|▍ | 3750/100000 [43:55<18:47:16, 1.42step/s] Training: 4%|▍ | 3751/100000 [43:56<19:35:19, 1.36step/s] Training: 4%|▍ | 3752/100000 [43:56<19:16:36, 1.39step/s] Training: 4%|▍ | 3753/100000 [43:57<19:41:47, 1.36step/s] Training: 4%|▍ | 3754/100000 [43:58<20:00:10, 1.34step/s] Training: 4%|▍ | 3755/100000 [43:58<19:01:08, 1.41step/s] Training: 4%|▍ | 3756/100000 [43:59<19:21:17, 1.38step/s] Training: 4%|▍ | 3757/100000 [44:00<18:33:21, 1.44step/s] Training: 4%|▍ | 3758/100000 [44:01<19:07:03, 1.40step/s] Training: 4%|▍ | 3759/100000 [44:01<19:23:30, 1.38step/s] Training: 4%|▍ | 3760/100000 [44:02<19:53:27, 1.34step/s] Training: 4%|▍ | 3761/100000 [44:03<20:19:22, 1.32step/s] Training: 4%|▍ | 3762/100000 [44:04<20:33:43, 1.30step/s] Training: 4%|▍ | 3763/100000 [44:04<19:35:02, 1.37step/s] Training: 4%|▍ | 3764/100000 [44:05<19:56:29, 1.34step/s] Training: 4%|▍ | 3765/100000 [44:06<19:06:53, 1.40step/s] Training: 4%|▍ | 3766/100000 [44:07<19:35:44, 1.36step/s] Training: 4%|▍ | 3767/100000 [44:07<20:23:29, 1.31step/s] Training: 4%|▍ | 3768/100000 [44:08<20:36:42, 1.30step/s] Training: 4%|▍ | 3769/100000 [44:09<21:03:47, 1.27step/s] Training: 4%|▍ | 3770/100000 [44:10<20:47:38, 1.29step/s] Training: 4%|▍ | 3771/100000 [44:10<19:56:47, 1.34step/s] Training: 4%|▍ | 3772/100000 [44:11<19:58:07, 1.34step/s] Training: 4%|▍ | 3773/100000 [44:12<19:04:17, 1.40step/s] Training: 4%|▍ | 3774/100000 [44:12<19:07:13, 1.40step/s] Training: 4%|▍ | 3775/100000 [44:13<20:13:09, 1.32step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=22945 Training: 4%|▍ | 3776/100000 [44:14<19:48:12, 1.35step/s] Training: 4%|▍ | 3777/100000 [44:15<19:50:14, 1.35step/s] Training: 4%|▍ | 3778/100000 [44:16<20:16:07, 1.32step/s] Training: 4%|▍ | 3779/100000 [44:16<19:26:03, 1.38step/s] Training: 4%|▍ | 3780/100000 [44:17<19:19:53, 1.38step/s] Training: 4%|▍ | 3781/100000 [44:18<18:37:26, 1.44step/s] Training: 4%|▍ | 3782/100000 [44:18<19:22:34, 1.38step/s] Training: 4%|▍ | 3783/100000 [44:19<19:56:55, 1.34step/s] Training: 4%|▍ | 3784/100000 [44:20<19:41:43, 1.36step/s] Training: 4%|▍ | 3785/100000 [44:21<19:57:12, 1.34step/s] Training: 4%|▍ | 3786/100000 [44:21<20:04:26, 1.33step/s] Training: 4%|▍ | 3787/100000 [44:22<18:55:55, 1.41step/s] Training: 4%|▍ | 3788/100000 [44:23<19:21:31, 1.38step/s] Training: 4%|▍ | 3789/100000 [44:23<18:37:21, 1.44step/s] Training: 4%|▍ | 3790/100000 [44:24<19:11:18, 1.39step/s] Training: 4%|▍ | 3791/100000 [44:25<20:15:59, 1.32step/s] Training: 4%|▍ | 3792/100000 [44:26<20:15:02, 1.32step/s] Training: 4%|▍ | 3793/100000 [44:27<20:30:29, 1.30step/s] Training: 4%|▍ | 3794/100000 [44:27<20:21:21, 1.31step/s] Training: 4%|▍ | 3795/100000 [44:28<19:25:08, 1.38step/s] Training: 4%|▍ | 3796/100000 [44:29<19:27:15, 1.37step/s] Training: 4%|▍ | 3797/100000 [44:29<18:30:48, 1.44step/s] Training: 4%|▍ | 3798/100000 [44:30<19:11:02, 1.39step/s] Training: 4%|▍ | 3799/100000 [44:31<20:08:27, 1.33step/s] Training: 4%|▍ | 3800/100000 [44:32<20:02:30, 1.33step/s]INFO 2026-03-12 04:06:48 ot_train.py:435 step:4K smpl:243K ep:828 epch:3.22 loss:0.471 grdn:11.924 lr:2.0e-05 updt_s:0.721 data_s:0.013 Training: 4%|▍ | 3801/100000 [44:32<20:12:25, 1.32step/s] Training: 4%|▍ | 3802/100000 [44:33<19:47:06, 1.35step/s] Training: 4%|▍ | 3803/100000 [44:34<19:12:00, 1.39step/s] Training: 4%|▍ | 3804/100000 [44:35<19:31:24, 1.37step/s] Training: 4%|▍ | 3805/100000 [44:35<18:44:22, 1.43step/s] Training: 4%|▍ | 3806/100000 [44:36<18:50:31, 1.42step/s] Training: 4%|▍ | 3807/100000 [44:37<20:11:00, 1.32step/s] Training: 4%|▍ | 3808/100000 [44:38<19:45:10, 1.35step/s] Training: 4%|▍ | 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[44:51<20:54:06, 1.28step/s] Training: 4%|▍ | 3827/100000 [44:52<19:41:48, 1.36step/s] Training: 4%|▍ | 3828/100000 [44:52<19:53:49, 1.34step/s] Training: 4%|▍ | 3829/100000 [44:53<18:50:10, 1.42step/s] Training: 4%|▍ | 3830/100000 [44:54<18:54:04, 1.41step/s] Training: 4%|▍ | 3831/100000 [44:54<19:39:42, 1.36step/s] Training: 4%|▍ | 3832/100000 [44:55<20:09:50, 1.32step/s] Training: 4%|▍ | 3833/100000 [44:56<20:35:05, 1.30step/s] Training: 4%|▍ | 3834/100000 [44:57<20:19:33, 1.31step/s] Training: 4%|▍ | 3835/100000 [44:58<20:21:25, 1.31step/s] Training: 4%|▍ | 3836/100000 [44:58<20:23:00, 1.31step/s] Training: 4%|▍ | 3837/100000 [44:59<19:10:00, 1.39step/s] Training: 4%|▍ | 3838/100000 [45:00<19:15:31, 1.39step/s] Training: 4%|▍ | 3839/100000 [45:01<20:21:33, 1.31step/s] Training: 4%|▍ | 3840/100000 [45:01<20:05:58, 1.33step/s] Training: 4%|▍ | 3841/100000 [45:02<20:01:33, 1.33step/s] Training: 4%|▍ | 3842/100000 [45:03<20:17:08, 1.32step/s] Training: 4%|▍ | 3843/100000 [45:03<19:13:45, 1.39step/s] Training: 4%|▍ | 3844/100000 [45:04<19:04:08, 1.40step/s] Training: 4%|▍ | 3845/100000 [45:05<18:23:44, 1.45step/s] Training: 4%|▍ | 3846/100000 [45:06<19:28:21, 1.37step/s] Training: 4%|▍ | 3847/100000 [45:06<20:42:59, 1.29step/s] Training: 4%|▍ | 3848/100000 [45:07<20:09:55, 1.32step/s] Training: 4%|▍ | 3849/100000 [45:08<20:16:14, 1.32step/s] Training: 4%|▍ | 3850/100000 [45:09<20:36:42, 1.30step/s] Training: 4%|▍ | 3851/100000 [45:09<19:35:10, 1.36step/s] Training: 4%|▍ | 3852/100000 [45:10<19:43:58, 1.35step/s] Training: 4%|▍ | 3853/100000 [45:11<18:51:43, 1.42step/s] Training: 4%|▍ | 3854/100000 [45:11<19:11:33, 1.39step/s] Training: 4%|▍ | 3855/100000 [45:12<19:50:05, 1.35step/s] Training: 4%|▍ | 3856/100000 [45:13<19:46:29, 1.35step/s] Training: 4%|▍ | 3857/100000 [45:14<19:48:39, 1.35step/s] Training: 4%|▍ | 3858/100000 [45:15<19:59:56, 1.34step/s] Training: 4%|▍ | 3859/100000 [45:15<19:00:29, 1.40step/s] Training: 4%|▍ | 3860/100000 [45:16<19:11:01, 1.39step/s] Training: 4%|▍ | 3861/100000 [45:17<18:29:52, 1.44step/s] Training: 4%|▍ | 3862/100000 [45:17<18:35:42, 1.44step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=10249 Training: 4%|▍ | 3863/100000 [45:18<19:51:46, 1.34step/s] Training: 4%|▍ | 3864/100000 [45:19<20:11:42, 1.32step/s] Training: 4%|▍ | 3865/100000 [45:20<20:13:39, 1.32step/s] Training: 4%|▍ | 3866/100000 [45:20<19:51:32, 1.34step/s] Training: 4%|▍ | 3867/100000 [45:21<19:11:33, 1.39step/s] Training: 4%|▍ | 3868/100000 [45:22<19:32:24, 1.37step/s] Training: 4%|▍ | 3869/100000 [45:22<18:51:26, 1.42step/s] Training: 4%|▍ | 3870/100000 [45:23<19:03:02, 1.40step/s] Training: 4%|▍ | 3871/100000 [45:24<20:07:46, 1.33step/s] Training: 4%|▍ | 3872/100000 [45:25<19:37:43, 1.36step/s] Training: 4%|▍ | 3873/100000 [45:25<19:43:09, 1.35step/s] Training: 4%|▍ | 3874/100000 [45:26<20:10:54, 1.32step/s] Training: 4%|▍ | 3875/100000 [45:27<19:16:58, 1.38step/s] Training: 4%|▍ | 3876/100000 [45:28<19:30:31, 1.37step/s] Training: 4%|▍ | 3877/100000 [45:28<18:44:52, 1.42step/s] Training: 4%|▍ | 3878/100000 [45:29<19:19:41, 1.38step/s] Training: 4%|▍ | 3879/100000 [45:30<20:30:54, 1.30step/s] Training: 4%|▍ | 3880/100000 [45:31<20:13:53, 1.32step/s] Training: 4%|▍ | 3881/100000 [45:31<20:41:35, 1.29step/s] Training: 4%|▍ | 3882/100000 [45:32<20:40:34, 1.29step/s] Training: 4%|▍ | 3883/100000 [45:33<19:22:57, 1.38step/s] Training: 4%|▍ | 3884/100000 [45:34<19:36:09, 1.36step/s] Training: 4%|▍ | 3885/100000 [45:34<18:54:57, 1.41step/s] Training: 4%|▍ | 3886/100000 [45:35<19:12:28, 1.39step/s] Training: 4%|▍ | 3887/100000 [45:36<19:52:21, 1.34step/s] Training: 4%|▍ | 3888/100000 [45:36<19:05:10, 1.40step/s] Training: 4%|▍ | 3889/100000 [45:37<19:47:55, 1.35step/s] Training: 4%|▍ | 3890/100000 [45:38<20:10:24, 1.32step/s] Training: 4%|▍ | 3891/100000 [45:39<19:18:36, 1.38step/s] Training: 4%|▍ | 3892/100000 [45:39<19:34:12, 1.36step/s] Training: 4%|▍ | 3893/100000 [45:40<18:54:21, 1.41step/s] Training: 4%|▍ | 3894/100000 [45:41<18:53:34, 1.41step/s] Training: 4%|▍ | 3895/100000 [45:42<19:51:31, 1.34step/s] Training: 4%|▍ | 3896/100000 [45:42<20:14:18, 1.32step/s] Training: 4%|▍ | 3897/100000 [45:43<20:38:10, 1.29step/s] Training: 4%|▍ | 3898/100000 [45:44<20:46:56, 1.28step/s] Training: 4%|▍ | 3899/100000 [45:45<19:41:51, 1.36step/s] Training: 4%|▍ | 3900/100000 [45:45<19:52:59, 1.34step/s]INFO 2026-03-12 04:08:01 ot_train.py:435 step:4K smpl:250K ep:850 epch:3.31 loss:0.461 grdn:12.380 lr:2.0e-05 updt_s:0.722 data_s:0.013 Training: 4%|▍ | 3901/100000 [45:46<18:57:54, 1.41step/s] Training: 4%|▍ | 3902/100000 [45:47<18:52:32, 1.41step/s] Training: 4%|▍ | 3903/100000 [45:48<19:55:07, 1.34step/s] Training: 4%|▍ | 3904/100000 [45:48<19:33:02, 1.37step/s] Training: 4%|▍ | 3905/100000 [45:49<19:23:57, 1.38step/s] Training: 4%|▍ | 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[46:27<18:53:36, 1.41step/s] Training: 4%|▍ | 3958/100000 [46:28<18:55:15, 1.41step/s] Training: 4%|▍ | 3959/100000 [46:29<18:18:20, 1.46step/s] Training: 4%|▍ | 3960/100000 [46:29<19:41:42, 1.35step/s] Training: 4%|▍ | 3961/100000 [46:30<19:38:39, 1.36step/s] Training: 4%|▍ | 3962/100000 [46:31<20:07:03, 1.33step/s] Training: 4%|▍ | 3963/100000 [46:32<19:06:00, 1.40step/s] Training: 4%|▍ | 3964/100000 [46:32<19:30:31, 1.37step/s] Training: 4%|▍ | 3965/100000 [46:33<18:34:00, 1.44step/s] Training: 4%|▍ | 3966/100000 [46:34<18:38:36, 1.43step/s] Training: 4%|▍ | 3967/100000 [46:34<18:10:15, 1.47step/s] Training: 4%|▍ | 3968/100000 [46:35<19:49:47, 1.35step/s] Training: 4%|▍ | 3969/100000 [46:36<19:24:54, 1.37step/s] Training: 4%|▍ | 3970/100000 [46:37<20:02:15, 1.33step/s] Training: 4%|▍ | 3971/100000 [46:37<18:53:39, 1.41step/s] Training: 4%|▍ | 3972/100000 [46:38<19:01:35, 1.40step/s] Training: 4%|▍ | 3973/100000 [46:39<18:24:12, 1.45step/s] Training: 4%|▍ | 3974/100000 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[46:52<18:56:02, 1.41step/s] Training: 4%|▍ | 3992/100000 [46:52<19:33:25, 1.36step/s] Training: 4%|▍ | 3993/100000 [46:53<19:51:32, 1.34step/s] Training: 4%|▍ | 3994/100000 [46:54<20:15:50, 1.32step/s] Training: 4%|▍ | 3995/100000 [46:55<19:12:28, 1.39step/s] Training: 4%|▍ | 3996/100000 [46:55<19:29:39, 1.37step/s] Training: 4%|▍ | 3997/100000 [46:56<18:38:58, 1.43step/s] Training: 4%|▍ | 3998/100000 [46:57<18:07:49, 1.47step/s] Training: 4%|▍ | 3999/100000 [46:57<18:38:40, 1.43step/s] Training: 4%|▍ | 4000/100000 [46:58<19:26:26, 1.37step/s]INFO 2026-03-12 04:09:14 ot_train.py:435 step:4K smpl:256K ep:871 epch:3.39 loss:0.483 grdn:12.036 lr:2.0e-05 updt_s:0.713 data_s:0.013 Training: 4%|▍ | 4001/100000 [46:59<19:21:59, 1.38step/s] Training: 4%|▍ | 4002/100000 [47:00<19:51:43, 1.34step/s] Training: 4%|▍ | 4003/100000 [47:00<18:47:46, 1.42step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=40761 Training: 4%|▍ | 4004/100000 [47:01<18:56:14, 1.41step/s] Training: 4%|▍ | 4005/100000 [47:02<18:22:56, 1.45step/s] Training: 4%|▍ | 4006/100000 [47:02<17:58:52, 1.48step/s] Training: 4%|▍ | 4007/100000 [47:03<18:35:13, 1.43step/s] Training: 4%|▍ | 4008/100000 [47:04<18:48:15, 1.42step/s] Training: 4%|▍ | 4009/100000 [47:05<20:14:15, 1.32step/s] Training: 4%|▍ | 4010/100000 [47:05<20:39:44, 1.29step/s] Training: 4%|▍ | 4011/100000 [47:06<19:34:43, 1.36step/s] Training: 4%|▍ | 4012/100000 [47:07<19:42:20, 1.35step/s] Training: 4%|▍ | 4013/100000 [47:08<18:52:34, 1.41step/s] Training: 4%|▍ | 4014/100000 [47:08<18:11:36, 1.47step/s] Training: 4%|▍ | 4015/100000 [47:09<18:41:27, 1.43step/s] Training: 4%|▍ | 4016/100000 [47:10<19:16:22, 1.38step/s] Training: 4%|▍ | 4017/100000 [47:11<20:35:33, 1.29step/s] Training: 4%|▍ | 4018/100000 [47:11<20:25:56, 1.30step/s] Training: 4%|▍ | 4019/100000 [47:12<19:16:41, 1.38step/s] Training: 4%|▍ | 4020/100000 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[48:01<18:15:23, 1.46step/s] Training: 4%|▍ | 4089/100000 [48:02<19:32:44, 1.36step/s] Training: 4%|▍ | 4090/100000 [48:03<19:49:52, 1.34step/s] Training: 4%|▍ | 4091/100000 [48:03<18:59:37, 1.40step/s] Training: 4%|▍ | 4092/100000 [48:04<18:17:23, 1.46step/s] Training: 4%|▍ | 4093/100000 [48:05<18:45:17, 1.42step/s] Training: 4%|▍ | 4094/100000 [48:05<18:11:54, 1.46step/s] Training: 4%|▍ | 4095/100000 [48:06<17:51:16, 1.49step/s] Training: 4%|▍ | 4096/100000 [48:07<18:14:46, 1.46step/s] Training: 4%|▍ | 4097/100000 [48:07<19:30:30, 1.37step/s] Training: 4%|▍ | 4098/100000 [48:08<20:01:50, 1.33step/s] Training: 4%|▍ | 4099/100000 [48:09<18:57:47, 1.40step/s] Training: 4%|▍ | 4100/100000 [48:09<18:20:04, 1.45step/s]INFO 2026-03-12 04:10:25 ot_train.py:435 step:4K smpl:262K ep:893 epch:3.48 loss:0.471 grdn:12.239 lr:2.0e-05 updt_s:0.697 data_s:0.013 Training: 4%|▍ | 4101/100000 [48:10<18:41:49, 1.42step/s] Training: 4%|▍ | 4102/100000 [48:11<18:09:35, 1.47step/s] Training: 4%|▍ | 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[49:11<18:26:07, 1.44step/s] Training: 4%|▍ | 4189/100000 [49:12<18:05:22, 1.47step/s] Training: 4%|▍ | 4190/100000 [49:13<18:20:33, 1.45step/s] Training: 4%|▍ | 4191/100000 [49:13<17:58:00, 1.48step/s] Training: 4%|▍ | 4192/100000 [49:14<18:18:32, 1.45step/s] Training: 4%|▍ | 4193/100000 [49:15<19:24:33, 1.37step/s] Training: 4%|▍ | 4194/100000 [49:16<19:38:38, 1.35step/s] Training: 4%|▍ | 4195/100000 [49:16<18:38:08, 1.43step/s] Training: 4%|▍ | 4196/100000 [49:17<18:01:40, 1.48step/s] Training: 4%|▍ | 4197/100000 [49:18<18:33:58, 1.43step/s] Training: 4%|▍ | 4198/100000 [49:18<18:04:48, 1.47step/s] Training: 4%|▍ | 4199/100000 [49:19<17:48:20, 1.49step/s] Training: 4%|▍ | 4200/100000 [49:20<18:19:50, 1.45step/s]INFO 2026-03-12 04:11:36 ot_train.py:435 step:4K smpl:269K ep:915 epch:3.56 loss:0.475 grdn:12.476 lr:2.0e-05 updt_s:0.687 data_s:0.012 Training: 4%|▍ | 4201/100000 [49:20<19:23:38, 1.37step/s] Training: 4%|▍ | 4202/100000 [49:21<19:36:42, 1.36step/s] Training: 4%|▍ | 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FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=38823 Training: 4%|▍ | 4288/100000 [50:22<19:51:15, 1.34step/s] Training: 4%|▍ | 4289/100000 [50:23<19:31:57, 1.36step/s] Training: 4%|▍ | 4290/100000 [50:24<19:41:04, 1.35step/s] Training: 4%|▍ | 4291/100000 [50:25<20:06:58, 1.32step/s] Training: 4%|▍ | 4292/100000 [50:25<19:06:09, 1.39step/s] Training: 4%|▍ | 4293/100000 [50:26<19:27:41, 1.37step/s] Training: 4%|▍ | 4294/100000 [50:27<18:28:23, 1.44step/s] Training: 4%|▍ | 4295/100000 [50:27<17:47:41, 1.49step/s] Training: 4%|▍ | 4296/100000 [50:28<18:51:18, 1.41step/s] Training: 4%|▍ | 4297/100000 [50:29<19:10:04, 1.39step/s] Training: 4%|▍ | 4298/100000 [50:30<19:51:22, 1.34step/s] Training: 4%|▍ | 4299/100000 [50:30<18:57:35, 1.40step/s] Training: 4%|▍ | 4300/100000 [50:31<20:10:29, 1.32step/s]INFO 2026-03-12 04:12:47 ot_train.py:435 step:4K smpl:275K ep:937 epch:3.64 loss:0.500 grdn:12.286 lr:2.0e-05 updt_s:0.699 data_s:0.012 Training: 4%|▍ | 4301/100000 [50:32<19:51:55, 1.34step/s] Training: 4%|▍ | 4302/100000 [50:32<18:58:44, 1.40step/s] Training: 4%|▍ | 4303/100000 [50:33<18:24:24, 1.44step/s] Training: 4%|▍ | 4304/100000 [50:34<18:56:43, 1.40step/s] Training: 4%|▍ | 4305/100000 [50:35<19:50:48, 1.34step/s] Training: 4%|▍ | 4306/100000 [50:35<19:51:05, 1.34step/s] Training: 4%|▍ | 4307/100000 [50:36<19:05:39, 1.39step/s] Training: 4%|▍ | 4308/100000 [50:37<20:00:59, 1.33step/s] Training: 4%|▍ | 4309/100000 [50:38<19:25:05, 1.37step/s] Training: 4%|▍ | 4310/100000 [50:38<18:36:54, 1.43step/s] Training: 4%|▍ | 4311/100000 [50:39<17:52:14, 1.49step/s] Training: 4%|▍ | 4312/100000 [50:40<18:39:16, 1.42step/s] Training: 4%|▍ | 4313/100000 [50:40<19:11:37, 1.38step/s] Training: 4%|▍ | 4314/100000 [50:41<19:35:15, 1.36step/s] Training: 4%|▍ | 4315/100000 [50:42<18:44:11, 1.42step/s] Training: 4%|▍ | 4316/100000 [50:42<19:10:05, 1.39step/s] Training: 4%|▍ | 4317/100000 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lr:2.0e-05 updt_s:0.693 data_s:0.012 Training: 4%|▍ | 4401/100000 [51:43<19:10:11, 1.39step/s] Training: 4%|▍ | 4402/100000 [51:43<19:06:05, 1.39step/s] Training: 4%|▍ | 4403/100000 [51:44<18:17:13, 1.45step/s] Training: 4%|▍ | 4404/100000 [51:44<17:48:30, 1.49step/s] Training: 4%|▍ | 4405/100000 [51:45<19:10:36, 1.38step/s] Training: 4%|▍ | 4406/100000 [51:46<18:27:54, 1.44step/s] Training: 4%|▍ | 4407/100000 [51:47<18:05:06, 1.47step/s] Training: 4%|▍ | 4408/100000 [51:47<18:47:20, 1.41step/s] Training: 4%|▍ | 4409/100000 [51:48<19:19:06, 1.37step/s] Training: 4%|▍ | 4410/100000 [51:49<19:41:14, 1.35step/s] Training: 4%|▍ | 4411/100000 [51:50<18:39:02, 1.42step/s] Training: 4%|▍ | 4412/100000 [51:50<17:54:56, 1.48step/s] Training: 4%|▍ | 4413/100000 [51:51<19:15:21, 1.38step/s] Training: 4%|▍ | 4414/100000 [51:52<18:30:29, 1.43step/s] Training: 4%|▍ | 4415/100000 [51:52<18:05:25, 1.47step/s] Training: 4%|▍ | 4416/100000 [51:53<18:40:24, 1.42step/s] Training: 4%|▍ | 4417/100000 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[52:42<19:01:27, 1.39step/s] Training: 4%|▍ | 4486/100000 [52:42<18:14:23, 1.45step/s] Training: 4%|▍ | 4487/100000 [52:43<17:47:34, 1.49step/s] Training: 4%|▍ | 4488/100000 [52:44<18:13:01, 1.46step/s] Training: 4%|▍ | 4489/100000 [52:44<18:58:21, 1.40step/s] Training: 4%|▍ | 4490/100000 [52:45<19:19:21, 1.37step/s] Training: 4%|▍ | 4491/100000 [52:46<18:42:03, 1.42step/s] Training: 4%|▍ | 4492/100000 [52:46<18:04:52, 1.47step/s] Training: 4%|▍ | 4493/100000 [52:47<18:53:41, 1.40step/s] Training: 4%|▍ | 4494/100000 [52:48<18:12:45, 1.46step/s] Training: 4%|▍ | 4495/100000 [52:49<17:34:52, 1.51step/s] Training: 4%|▍ | 4496/100000 [52:49<18:24:33, 1.44step/s] Training: 4%|▍ | 4497/100000 [52:50<19:10:34, 1.38step/s] Training: 4%|▍ | 4498/100000 [52:51<19:13:24, 1.38step/s] Training: 4%|▍ | 4499/100000 [52:51<18:25:32, 1.44step/s] Training: 4%|▍ | 4500/100000 [52:52<17:53:38, 1.48step/s]INFO 2026-03-12 04:15:08 ot_train.py:435 step:4K smpl:288K ep:980 epch:3.81 loss:0.510 grdn:13.367 lr:2.0e-05 updt_s:0.687 data_s:0.013 Training: 5%|▍ | 4501/100000 [52:53<18:40:00, 1.42step/s] Training: 5%|▍ | 4502/100000 [52:53<17:58:14, 1.48step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=54289 Training: 5%|▍ | 4503/100000 [52:54<17:25:21, 1.52step/s] Training: 5%|▍ | 4504/100000 [52:55<18:20:58, 1.45step/s] Training: 5%|▍ | 4505/100000 [52:56<18:30:30, 1.43step/s] Training: 5%|▍ | 4506/100000 [52:56<18:58:32, 1.40step/s] Training: 5%|▍ | 4507/100000 [52:57<18:17:07, 1.45step/s] Training: 5%|▍ | 4508/100000 [52:58<17:47:45, 1.49step/s] Training: 5%|▍ | 4509/100000 [52:58<18:40:11, 1.42step/s] Training: 5%|▍ | 4510/100000 [52:59<18:02:31, 1.47step/s] Training: 5%|▍ | 4511/100000 [53:00<17:35:10, 1.51step/s] Training: 5%|▍ | 4512/100000 [53:00<17:58:01, 1.48step/s] Training: 5%|▍ | 4513/100000 [53:01<18:28:28, 1.44step/s] Training: 5%|▍ | 4514/100000 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[54:01<17:51:56, 1.48step/s] Training: 5%|▍ | 4600/100000 [54:02<18:40:39, 1.42step/s]INFO 2026-03-12 04:16:18 ot_train.py:435 step:5K smpl:294K ep:1K epch:3.90 loss:0.490 grdn:12.633 lr:2.0e-05 updt_s:0.681 data_s:0.012 Training: 5%|▍ | 4601/100000 [54:02<18:51:19, 1.41step/s] Training: 5%|▍ | 4602/100000 [54:03<19:22:24, 1.37step/s] Training: 5%|▍ | 4603/100000 [54:04<18:39:27, 1.42step/s] Training: 5%|▍ | 4604/100000 [54:04<18:07:07, 1.46step/s] Training: 5%|▍ | 4605/100000 [54:05<18:42:51, 1.42step/s] Training: 5%|▍ | 4606/100000 [54:06<18:01:03, 1.47step/s] Training: 5%|▍ | 4607/100000 [54:06<17:35:30, 1.51step/s] Training: 5%|▍ | 4608/100000 [54:07<17:58:59, 1.47step/s] Training: 5%|▍ | 4609/100000 [54:08<18:29:40, 1.43step/s] Training: 5%|▍ | 4610/100000 [54:09<19:17:43, 1.37step/s] Training: 5%|▍ | 4611/100000 [54:09<18:29:41, 1.43step/s] Training: 5%|▍ | 4612/100000 [54:10<18:00:07, 1.47step/s] Training: 5%|▍ | 4613/100000 [54:11<18:51:42, 1.40step/s] Training: 5%|▍ | 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[55:11<18:46:55, 1.41step/s] Training: 5%|▍ | 4700/100000 [55:11<17:57:52, 1.47step/s]INFO 2026-03-12 04:17:27 ot_train.py:435 step:5K smpl:301K ep:1K epch:3.98 loss:0.489 grdn:13.262 lr:2.0e-05 updt_s:0.681 data_s:0.013 Training: 5%|▍ | 4701/100000 [55:12<18:47:21, 1.41step/s] Training: 5%|▍ | 4702/100000 [55:13<18:07:26, 1.46step/s] Training: 5%|▍ | 4703/100000 [55:13<17:38:09, 1.50step/s] Training: 5%|▍ | 4704/100000 [55:14<18:19:28, 1.44step/s] Training: 5%|▍ | 4705/100000 [55:15<18:06:58, 1.46step/s] Training: 5%|▍ | 4706/100000 [55:16<18:44:29, 1.41step/s] Training: 5%|▍ | 4707/100000 [55:16<18:04:03, 1.47step/s] Training: 5%|▍ | 4708/100000 [55:17<17:30:42, 1.51step/s] Training: 5%|▍ | 4709/100000 [55:18<18:03:05, 1.47step/s] Training: 5%|▍ | 4710/100000 [55:18<17:28:18, 1.51step/s] Training: 5%|▍ | 4711/100000 [55:19<17:06:15, 1.55step/s] Training: 5%|▍ | 4712/100000 [55:19<17:26:23, 1.52step/s] Training: 5%|▍ | 4713/100000 [55:20<18:04:13, 1.46step/s] Training: 5%|▍ | 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Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 5%|▍ | 4721/100000 [55:31<55:08:20, 2.08s/step] Training: 5%|▍ | 4722/100000 [55:32<45:18:36, 1.71s/step] Training: 5%|▍ | 4723/100000 [55:32<36:51:31, 1.39s/step] Training: 5%|▍ | 4724/100000 [55:33<30:44:41, 1.16s/step] Training: 5%|▍ | 4725/100000 [55:34<27:42:22, 1.05s/step] Training: 5%|▍ | 4726/100000 [55:34<26:25:30, 1.00step/s] Training: 5%|▍ | 4727/100000 [55:35<23:30:05, 1.13step/s] Training: 5%|▍ | 4728/100000 [55:36<22:45:18, 1.16step/s] Training: 5%|▍ | 4729/100000 [55:37<22:06:57, 1.20step/s] Training: 5%|▍ | 4730/100000 [55:37<21:51:26, 1.21step/s] Training: 5%|▍ | 4731/100000 [55:38<20:07:55, 1.31step/s] Training: 5%|▍ | 4732/100000 [55:39<19:06:19, 1.39step/s] Training: 5%|▍ | 4733/100000 [55:40<19:35:20, 1.35step/s] Training: 5%|▍ | 4734/100000 [55:40<20:05:19, 1.32step/s] Training: 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[56:18<20:22:18, 1.30step/s] Training: 5%|▍ | 4787/100000 [56:19<19:17:53, 1.37step/s] Training: 5%|▍ | 4788/100000 [56:19<18:33:10, 1.43step/s] Training: 5%|▍ | 4789/100000 [56:20<19:03:28, 1.39step/s] Training: 5%|▍ | 4790/100000 [56:21<18:17:02, 1.45step/s] Training: 5%|▍ | 4791/100000 [56:22<19:38:05, 1.35step/s] Training: 5%|▍ | 4792/100000 [56:22<19:49:24, 1.33step/s] Training: 5%|▍ | 4793/100000 [56:23<19:55:05, 1.33step/s] Training: 5%|▍ | 4794/100000 [56:24<20:11:31, 1.31step/s] Training: 5%|▍ | 4795/100000 [56:25<19:17:13, 1.37step/s] Training: 5%|▍ | 4796/100000 [56:25<18:28:38, 1.43step/s] Training: 5%|▍ | 4797/100000 [56:26<19:05:25, 1.39step/s] Training: 5%|▍ | 4798/100000 [56:27<18:19:22, 1.44step/s] Training: 5%|▍ | 4799/100000 [56:27<19:42:22, 1.34step/s] Training: 5%|▍ | 4800/100000 [56:28<19:45:46, 1.34step/s]INFO 2026-03-12 04:18:44 ot_train.py:435 step:5K smpl:307K ep:1K epch:4.07 loss:0.454 grdn:12.315 lr:2.0e-05 updt_s:0.707 data_s:0.059 Training: 5%|▍ | 4801/100000 [56:29<19:26:45, 1.36step/s] Training: 5%|▍ | 4802/100000 [56:30<19:53:16, 1.33step/s] Training: 5%|▍ | 4803/100000 [56:30<19:01:38, 1.39step/s] Training: 5%|▍ | 4804/100000 [56:31<18:16:38, 1.45step/s] Training: 5%|▍ | 4805/100000 [56:32<18:59:02, 1.39step/s] Training: 5%|▍ | 4806/100000 [56:32<18:16:54, 1.45step/s] Training: 5%|▍ | 4807/100000 [56:33<19:20:13, 1.37step/s] Training: 5%|▍ | 4808/100000 [56:34<19:07:09, 1.38step/s] Training: 5%|▍ | 4809/100000 [56:35<18:21:54, 1.44step/s] Training: 5%|▍ | 4810/100000 [56:35<19:19:33, 1.37step/s] Training: 5%|▍ | 4811/100000 [56:36<18:30:44, 1.43step/s] Training: 5%|▍ | 4812/100000 [56:37<17:46:46, 1.49step/s] Training: 5%|▍ | 4813/100000 [56:37<18:42:48, 1.41step/s] Training: 5%|▍ | 4814/100000 [56:38<18:07:26, 1.46step/s] Training: 5%|▍ | 4815/100000 [56:39<19:05:47, 1.38step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=68159 Training: 5%|▍ | 4816/100000 [56:40<19:18:53, 1.37step/s] Training: 5%|▍ | 4817/100000 [56:40<18:21:26, 1.44step/s] Training: 5%|▍ | 4818/100000 [56:41<19:23:19, 1.36step/s] Training: 5%|▍ | 4819/100000 [56:42<18:52:28, 1.40step/s] Training: 5%|▍ | 4820/100000 [56:42<18:01:46, 1.47step/s] Training: 5%|▍ | 4821/100000 [56:43<18:12:28, 1.45step/s] Training: 5%|▍ | 4822/100000 [56:44<17:46:10, 1.49step/s] Training: 5%|▍ | 4823/100000 [56:45<19:21:19, 1.37step/s] Training: 5%|▍ | 4824/100000 [56:45<19:44:44, 1.34step/s] Training: 5%|▍ | 4825/100000 [56:46<18:43:08, 1.41step/s] Training: 5%|▍ | 4826/100000 [56:47<19:36:06, 1.35step/s] Training: 5%|▍ | 4827/100000 [56:47<18:39:17, 1.42step/s] Training: 5%|▍ | 4828/100000 [56:48<17:59:09, 1.47step/s] Training: 5%|▍ | 4829/100000 [56:49<18:40:42, 1.42step/s] Training: 5%|▍ | 4830/100000 [56:49<17:59:55, 1.47step/s] Training: 5%|▍ | 4831/100000 [56:50<19:21:02, 1.37step/s] Training: 5%|▍ | 4832/100000 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[57:15<19:08:48, 1.38step/s] Training: 5%|▍ | 4867/100000 [57:16<18:22:47, 1.44step/s] Training: 5%|▍ | 4868/100000 [57:16<17:41:06, 1.49step/s] Training: 5%|▍ | 4869/100000 [57:17<18:32:55, 1.42step/s] Training: 5%|▍ | 4870/100000 [57:18<17:47:23, 1.49step/s] Training: 5%|▍ | 4871/100000 [57:18<19:15:58, 1.37step/s] Training: 5%|▍ | 4872/100000 [57:19<19:04:00, 1.39step/s] Training: 5%|▍ | 4873/100000 [57:20<18:18:08, 1.44step/s] Training: 5%|▍ | 4874/100000 [57:21<19:07:29, 1.38step/s] Training: 5%|▍ | 4875/100000 [57:21<18:23:07, 1.44step/s] Training: 5%|▍ | 4876/100000 [57:22<17:56:00, 1.47step/s] Training: 5%|▍ | 4877/100000 [57:23<18:57:34, 1.39step/s] Training: 5%|▍ | 4878/100000 [57:23<18:15:58, 1.45step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=68159 Training: 5%|▍ | 4879/100000 [57:24<19:15:59, 1.37step/s] Training: 5%|▍ | 4880/100000 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[57:37<18:52:09, 1.40step/s] Training: 5%|▍ | 4898/100000 [57:38<19:33:23, 1.35step/s] Training: 5%|▍ | 4899/100000 [57:38<18:41:47, 1.41step/s] Training: 5%|▍ | 4900/100000 [57:39<17:58:48, 1.47step/s]INFO 2026-03-12 04:19:55 ot_train.py:435 step:5K smpl:314K ep:1K epch:4.15 loss:0.441 grdn:11.729 lr:2.0e-05 updt_s:0.692 data_s:0.012 Training: 5%|▍ | 4901/100000 [57:40<18:32:28, 1.42step/s] Training: 5%|▍ | 4902/100000 [57:40<18:02:04, 1.46step/s] Training: 5%|▍ | 4903/100000 [57:41<19:11:52, 1.38step/s] Training: 5%|▍ | 4904/100000 [57:42<19:03:40, 1.39step/s] Training: 5%|▍ | 4905/100000 [57:42<18:22:05, 1.44step/s] Training: 5%|▍ | 4906/100000 [57:43<19:29:27, 1.36step/s] Training: 5%|▍ | 4907/100000 [57:44<18:43:17, 1.41step/s] Training: 5%|▍ | 4908/100000 [57:45<18:07:15, 1.46step/s] Training: 5%|▍ | 4909/100000 [57:45<18:46:14, 1.41step/s] Training: 5%|▍ | 4910/100000 [57:46<18:09:01, 1.46step/s] Training: 5%|▍ | 4911/100000 [57:47<19:15:01, 1.37step/s] Training: 5%|▍ | 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[58:00<18:34:40, 1.42step/s] Training: 5%|▍ | 4930/100000 [58:00<19:12:08, 1.38step/s] Training: 5%|▍ | 4931/100000 [58:01<18:14:57, 1.45step/s] Training: 5%|▍ | 4932/100000 [58:02<17:44:01, 1.49step/s] Training: 5%|▍ | 4933/100000 [58:02<18:23:59, 1.44step/s] Training: 5%|▍ | 4934/100000 [58:03<17:57:41, 1.47step/s] Training: 5%|▍ | 4935/100000 [58:04<19:10:18, 1.38step/s] Training: 5%|▍ | 4936/100000 [58:05<19:17:12, 1.37step/s] Training: 5%|▍ | 4937/100000 [58:05<18:34:58, 1.42step/s] Training: 5%|▍ | 4938/100000 [58:06<19:13:25, 1.37step/s] Training: 5%|▍ | 4939/100000 [58:07<18:16:48, 1.44step/s] Training: 5%|▍ | 4940/100000 [58:07<17:47:07, 1.48step/s] Training: 5%|▍ | 4941/100000 [58:08<18:00:15, 1.47step/s] Training: 5%|▍ | 4942/100000 [58:09<17:40:02, 1.49step/s] Training: 5%|▍ | 4943/100000 [58:09<18:47:32, 1.41step/s] Training: 5%|▍ | 4944/100000 [58:10<19:17:59, 1.37step/s] Training: 5%|▍ | 4945/100000 [58:11<18:18:19, 1.44step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=57318 Training: 5%|▍ | 4946/100000 [58:12<19:03:30, 1.39step/s] Training: 5%|▍ | 4947/100000 [58:12<18:10:06, 1.45step/s] Training: 5%|▍ | 4948/100000 [58:13<17:31:23, 1.51step/s] Training: 5%|▍ | 4949/100000 [58:14<17:55:12, 1.47step/s] Training: 5%|▍ | 4950/100000 [58:14<17:31:22, 1.51step/s] Training: 5%|▍ | 4951/100000 [58:15<18:48:53, 1.40step/s] Training: 5%|▍ | 4952/100000 [58:16<19:07:47, 1.38step/s] Training: 5%|▍ | 4953/100000 [58:16<18:20:45, 1.44step/s] Training: 5%|▍ | 4954/100000 [58:17<19:01:10, 1.39step/s] Training: 5%|▍ | 4955/100000 [58:18<18:21:58, 1.44step/s] Training: 5%|▍ | 4956/100000 [58:18<17:54:09, 1.47step/s] Training: 5%|▍ | 4957/100000 [58:19<18:29:58, 1.43step/s] Training: 5%|▍ | 4958/100000 [58:20<18:05:37, 1.46step/s] Training: 5%|▍ | 4959/100000 [58:21<19:19:12, 1.37step/s] Training: 5%|▍ | 4960/100000 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[58:46<19:07:40, 1.38step/s] Training: 5%|▍ | 4995/100000 [58:46<18:23:44, 1.43step/s] Training: 5%|▍ | 4996/100000 [58:47<17:54:48, 1.47step/s] Training: 5%|▍ | 4997/100000 [58:48<18:36:57, 1.42step/s] Training: 5%|▍ | 4998/100000 [58:48<18:01:31, 1.46step/s] Training: 5%|▍ | 4999/100000 [58:49<19:17:20, 1.37step/s] Training: 5%|▌ | 5000/100000 [58:50<19:09:57, 1.38step/s]INFO 2026-03-12 04:21:06 ot_train.py:435 step:5K smpl:320K ep:1K epch:4.24 loss:0.450 grdn:11.694 lr:2.0e-05 updt_s:0.694 data_s:0.012 INFO 2026-03-12 04:21:06 ot_train.py:455 Checkpoint policy after step 5000 [Avatar] Pushing checkpoint (step 5000) to avatarrobotics/pi0fast-orange-hook-right-b64-20260312-0320... 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5.85GB / 5.85GB, 154MB/s New Data Upload : 100%|█████████▉| 5.85GB / 5.85GB, 154MB/s  ...12-0320/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  ...12-0320/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  Processing Files (1 / 1) : 100%|██████████| 5.85GB / 5.85GB, 149MB/s New Data Upload : 100%|██████████| 5.85GB / 5.85GB, 149MB/s  ...12-0320/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-0320/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-0320/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-0320/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  Processing Files (1 / 1) : 100%|██████████| 5.85GB / 5.85GB, 139MB/s New Data Upload : 100%|██████████| 5.85GB / 5.85GB, 139MB/s ...12-0320/model.safetensors: 100%|██████████| 5.85GB / 5.85GB INFO 2026-03-12 04:22:56 etrained.py:246 Model pushed to https://huggingface.co/avatarrobotics/pi0fast-orange-hook-right-b64-20260312-0320 Processing Files (0 / 0) : | | 0.00B / 0.00B New Data Upload : | | 0.00B / 0.00B  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, 10.8kB/s ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, 4.32kB/s New Data Upload : | | 0.00B / 0.00B, 0.00B/s ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB Processing Files (0 / 0) : | | 0.00B / 0.00B New Data Upload : | | 0.00B / 0.00B  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, ???B/s ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, 0.00B/s New Data Upload : | | 0.00B / 0.00B, 0.00B/s ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB [Avatar] Pushed checkpoint (step 5000) OK [Avatar] Tagged as 'step-5000' Training: 5%|▌ | 5001/100000 [1:00:45<928:08:45, 35.17s/step] Training: 5%|▌ | 5002/100000 [1:00:46<655:54:47, 24.86s/step] Training: 5%|▌ | 5003/100000 [1:00:47<464:00:39, 17.58s/step] Training: 5%|▌ | 5004/100000 [1:00:47<329:46:33, 12.50s/step] Training: 5%|▌ | 5005/100000 [1:00:48<236:25:38, 8.96s/step] Training: 5%|▌ | 5006/100000 [1:00:49<170:33:51, 6.46s/step] Training: 5%|▌ | 5007/100000 [1:00:50<126:34:55, 4.80s/step] Training: 5%|▌ | 5008/100000 [1:00:50<94:48:19, 3.59s/step] Training: 5%|▌ | 5009/100000 [1:00:51<71:28:19, 2.71s/step] Training: 5%|▌ | 5010/100000 [1:00:52<56:16:47, 2.13s/step] Training: 5%|▌ | 5011/100000 [1:00:52<44:22:08, 1.68s/step] Training: 5%|▌ | 5012/100000 [1:00:53<36:07:59, 1.37s/step] Training: 5%|▌ | 5013/100000 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[1:01:29<17:30:05, 1.51step/s] Training: 5%|▌ | 5064/100000 [1:01:30<19:01:29, 1.39step/s] Training: 5%|▌ | 5065/100000 [1:01:31<18:20:59, 1.44step/s] Training: 5%|▌ | 5066/100000 [1:01:31<19:11:34, 1.37step/s] Training: 5%|▌ | 5067/100000 [1:01:32<19:13:47, 1.37step/s] Training: 5%|▌ | 5068/100000 [1:01:33<18:34:05, 1.42step/s] Training: 5%|▌ | 5069/100000 [1:01:34<18:39:23, 1.41step/s] Training: 5%|▌ | 5070/100000 [1:01:34<18:11:07, 1.45step/s] Training: 5%|▌ | 5071/100000 [1:01:35<18:00:07, 1.46step/s] Training: 5%|▌ | 5072/100000 [1:01:36<18:39:19, 1.41step/s] Training: 5%|▌ | 5073/100000 [1:01:36<19:35:54, 1.35step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=57318 Training: 5%|▌ | 5074/100000 [1:01:37<19:46:01, 1.33step/s] Training: 5%|▌ | 5075/100000 [1:01:38<20:07:43, 1.31step/s] Training: 5%|▌ | 5076/100000 [1:01:39<19:12:14, 1.37step/s] Training: 5%|▌ 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1.46step/s] Training: 5%|▌ | 5175/100000 [1:02:48<17:39:24, 1.49step/s] Training: 5%|▌ | 5176/100000 [1:02:49<18:24:26, 1.43step/s] Training: 5%|▌ | 5177/100000 [1:02:50<17:42:59, 1.49step/s] Training: 5%|▌ | 5178/100000 [1:02:50<18:08:20, 1.45step/s] Training: 5%|▌ | 5179/100000 [1:02:51<18:37:39, 1.41step/s] Training: 5%|▌ | 5180/100000 [1:02:52<19:21:46, 1.36step/s] Training: 5%|▌ | 5181/100000 [1:02:53<19:35:19, 1.34step/s] Training: 5%|▌ | 5182/100000 [1:02:53<18:40:57, 1.41step/s] Training: 5%|▌ | 5183/100000 [1:02:54<18:08:46, 1.45step/s] Training: 5%|▌ | 5184/100000 [1:02:55<18:51:12, 1.40step/s] Training: 5%|▌ | 5185/100000 [1:02:55<18:11:44, 1.45step/s] Training: 5%|▌ | 5186/100000 [1:02:56<18:58:19, 1.39step/s] Training: 5%|▌ | 5187/100000 [1:02:57<19:14:07, 1.37step/s] Training: 5%|▌ | 5188/100000 [1:02:58<19:43:28, 1.34step/s] Training: 5%|▌ | 5189/100000 [1:02:58<19:46:55, 1.33step/s] Training: 5%|▌ | 5190/100000 [1:02:59<18:52:15, 1.40step/s] Training: 5%|▌ | 5191/100000 [1:03:00<18:07:42, 1.45step/s] Training: 5%|▌ | 5192/100000 [1:03:00<18:35:32, 1.42step/s] Training: 5%|▌ | 5193/100000 [1:03:01<18:10:14, 1.45step/s] Training: 5%|▌ | 5194/100000 [1:03:02<19:02:36, 1.38step/s] Training: 5%|▌ | 5195/100000 [1:03:03<19:12:58, 1.37step/s] Training: 5%|▌ | 5196/100000 [1:03:03<19:47:03, 1.33step/s] Training: 5%|▌ | 5197/100000 [1:03:04<19:22:35, 1.36step/s] Training: 5%|▌ | 5198/100000 [1:03:05<18:26:44, 1.43step/s] Training: 5%|▌ | 5199/100000 [1:03:05<17:57:08, 1.47step/s] Training: 5%|▌ | 5200/100000 [1:03:06<18:59:33, 1.39step/s]INFO 2026-03-12 04:25:22 ot_train.py:435 step:5K smpl:333K ep:1K epch:4.41 loss:0.445 grdn:11.933 lr:2.0e-05 updt_s:0.689 data_s:0.012 Training: 5%|▌ | 5201/100000 [1:03:07<18:28:49, 1.42step/s] Training: 5%|▌ | 5202/100000 [1:03:08<19:17:27, 1.37step/s] Training: 5%|▌ | 5203/100000 [1:03:08<19:45:49, 1.33step/s] Training: 5%|▌ | 5204/100000 [1:03:09<19:56:52, 1.32step/s] Training: 5%|▌ | 5205/100000 [1:03:10<19:35:04, 1.34step/s] Training: 5%|▌ | 5206/100000 [1:03:11<18:49:47, 1.40step/s] Training: 5%|▌ | 5207/100000 [1:03:11<18:16:08, 1.44step/s] Training: 5%|▌ | 5208/100000 [1:03:12<18:58:04, 1.39step/s] Training: 5%|▌ | 5209/100000 [1:03:13<18:12:54, 1.45step/s] Training: 5%|▌ | 5210/100000 [1:03:13<18:22:15, 1.43step/s] Training: 5%|▌ | 5211/100000 [1:03:14<18:57:01, 1.39step/s] Training: 5%|▌ | 5212/100000 [1:03:15<19:10:34, 1.37step/s] Training: 5%|▌ | 5213/100000 [1:03:16<19:52:49, 1.32step/s] Training: 5%|▌ | 5214/100000 [1:03:16<18:39:08, 1.41step/s] Training: 5%|▌ | 5215/100000 [1:03:17<17:58:17, 1.47step/s] Training: 5%|▌ | 5216/100000 [1:03:18<18:43:33, 1.41step/s] Training: 5%|▌ | 5217/100000 [1:03:18<18:03:48, 1.46step/s] Training: 5%|▌ | 5218/100000 [1:03:19<18:47:06, 1.40step/s] Training: 5%|▌ | 5219/100000 [1:03:20<19:10:11, 1.37step/s] Training: 5%|▌ | 5220/100000 [1:03:21<19:46:20, 1.33step/s] Training: 5%|▌ | 5221/100000 [1:03:21<19:45:48, 1.33step/s] Training: 5%|▌ | 5222/100000 [1:03:22<18:45:15, 1.40step/s] Training: 5%|▌ | 5223/100000 [1:03:23<17:54:50, 1.47step/s] Training: 5%|▌ | 5224/100000 [1:03:23<18:13:33, 1.44step/s] Training: 5%|▌ | 5225/100000 [1:03:24<17:35:23, 1.50step/s] Training: 5%|▌ | 5226/100000 [1:03:25<18:28:14, 1.43step/s] Training: 5%|▌ | 5227/100000 [1:03:25<18:28:34, 1.42step/s] Training: 5%|▌ | 5228/100000 [1:03:26<18:53:05, 1.39step/s] Training: 5%|▌ | 5229/100000 [1:03:27<20:00:43, 1.32step/s] Training: 5%|▌ | 5230/100000 [1:03:28<18:53:53, 1.39step/s] Training: 5%|▌ | 5231/100000 [1:03:28<18:09:17, 1.45step/s] Training: 5%|▌ | 5232/100000 [1:03:29<19:01:44, 1.38step/s] Training: 5%|▌ | 5233/100000 [1:03:30<18:16:41, 1.44step/s] Training: 5%|▌ | 5234/100000 [1:03:31<19:00:46, 1.38step/s] Training: 5%|▌ | 5235/100000 [1:03:31<19:22:09, 1.36step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=21981 Training: 5%|▌ | 5236/100000 [1:03:32<19:25:10, 1.36step/s] Training: 5%|▌ | 5237/100000 [1:03:33<19:48:22, 1.33step/s] Training: 5%|▌ | 5238/100000 [1:03:33<18:36:35, 1.41step/s] Training: 5%|▌ | 5239/100000 [1:03:34<17:47:55, 1.48step/s] Training: 5%|▌ | 5240/100000 [1:03:35<18:42:49, 1.41step/s] Training: 5%|▌ | 5241/100000 [1:03:35<17:53:48, 1.47step/s] Training: 5%|▌ | 5242/100000 [1:03:36<18:18:53, 1.44step/s] Training: 5%|▌ | 5243/100000 [1:03:37<18:51:47, 1.40step/s] Training: 5%|▌ | 5244/100000 [1:03:38<18:59:07, 1.39step/s] Training: 5%|▌ | 5245/100000 [1:03:38<19:15:38, 1.37step/s] Training: 5%|▌ | 5246/100000 [1:03:39<18:16:19, 1.44step/s] Training: 5%|▌ | 5247/100000 [1:03:40<17:51:40, 1.47step/s] Training: 5%|▌ | 5248/100000 [1:03:41<19:09:59, 1.37step/s] Training: 5%|▌ | 5249/100000 [1:03:41<18:16:58, 1.44step/s] Training: 5%|▌ | 5250/100000 [1:03:42<19:09:02, 1.37step/s] Training: 5%|▌ | 5251/100000 [1:03:43<19:33:55, 1.35step/s] Training: 5%|▌ | 5252/100000 [1:03:43<18:36:33, 1.41step/s] Training: 5%|▌ | 5253/100000 [1:03:44<19:15:57, 1.37step/s] Training: 5%|▌ | 5254/100000 [1:03:45<18:39:30, 1.41step/s] Training: 5%|▌ | 5255/100000 [1:03:45<18:04:57, 1.46step/s] Training: 5%|▌ | 5256/100000 [1:03:46<18:51:11, 1.40step/s] Training: 5%|▌ | 5257/100000 [1:03:47<18:12:58, 1.44step/s] Training: 5%|▌ | 5258/100000 [1:03:48<19:02:52, 1.38step/s] Training: 5%|▌ | 5259/100000 [1:03:48<19:10:47, 1.37step/s] Training: 5%|▌ | 5260/100000 [1:03:49<19:26:02, 1.35step/s] Training: 5%|▌ | 5261/100000 [1:03:50<19:41:45, 1.34step/s] Training: 5%|▌ | 5262/100000 [1:03:51<18:48:00, 1.40step/s] Training: 5%|▌ | 5263/100000 [1:03:51<18:18:00, 1.44step/s] Training: 5%|▌ | 5264/100000 [1:03:52<19:20:15, 1.36step/s] Training: 5%|▌ | 5265/100000 [1:03:53<18:49:08, 1.40step/s] Training: 5%|▌ | 5266/100000 [1:03:54<19:28:45, 1.35step/s] Training: 5%|▌ | 5267/100000 [1:03:54<19:38:03, 1.34step/s] Training: 5%|▌ | 5268/100000 [1:03:55<19:37:12, 1.34step/s] Training: 5%|▌ | 5269/100000 [1:03:56<19:42:57, 1.33step/s] Training: 5%|▌ | 5270/100000 [1:03:57<19:55:20, 1.32step/s] Training: 5%|▌ | 5271/100000 [1:03:57<18:50:23, 1.40step/s] Training: 5%|▌ | 5272/100000 [1:03:58<19:08:15, 1.37step/s] Training: 5%|▌ | 5273/100000 [1:03:59<18:18:50, 1.44step/s] Training: 5%|▌ | 5274/100000 [1:03:59<18:42:14, 1.41step/s] Training: 5%|▌ | 5275/100000 [1:04:00<19:03:54, 1.38step/s] Training: 5%|▌ | 5276/100000 [1:04:01<19:15:47, 1.37step/s] Training: 5%|▌ | 5277/100000 [1:04:02<19:33:01, 1.35step/s] Training: 5%|▌ | 5278/100000 [1:04:02<19:33:01, 1.35step/s] Training: 5%|▌ | 5279/100000 [1:04:03<18:37:21, 1.41step/s] Training: 5%|▌ | 5280/100000 [1:04:04<19:11:13, 1.37step/s] Training: 5%|▌ | 5281/100000 [1:04:04<18:13:12, 1.44step/s] Training: 5%|▌ | 5282/100000 [1:04:05<19:01:18, 1.38step/s] Training: 5%|▌ | 5283/100000 [1:04:06<19:34:30, 1.34step/s] Training: 5%|▌ | 5284/100000 [1:04:07<18:31:09, 1.42step/s] Training: 5%|▌ | 5285/100000 [1:04:07<19:02:22, 1.38step/s] Training: 5%|▌ | 5286/100000 [1:04:08<18:06:38, 1.45step/s] Training: 5%|▌ | 5287/100000 [1:04:09<18:47:07, 1.40step/s] Training: 5%|▌ | 5288/100000 [1:04:09<18:45:17, 1.40step/s] Training: 5%|▌ | 5289/100000 [1:04:10<18:06:01, 1.45step/s] Training: 5%|▌ | 5290/100000 [1:04:11<18:55:25, 1.39step/s] Training: 5%|▌ | 5291/100000 [1:04:12<18:52:16, 1.39step/s] Training: 5%|▌ | 5292/100000 [1:04:12<19:09:15, 1.37step/s] Training: 5%|▌ | 5293/100000 [1:04:13<19:44:40, 1.33step/s] Training: 5%|▌ | 5294/100000 [1:04:14<20:02:32, 1.31step/s] Training: 5%|▌ | 5295/100000 [1:04:14<18:46:44, 1.40step/s] Training: 5%|▌ | 5296/100000 [1:04:15<19:07:06, 1.38step/s] Training: 5%|▌ | 5297/100000 [1:04:16<18:14:09, 1.44step/s] Training: 5%|▌ | 5298/100000 [1:04:17<18:54:22, 1.39step/s] Training: 5%|▌ | 5299/100000 [1:04:17<19:11:57, 1.37step/s] Training: 5%|▌ | 5300/100000 [1:04:18<19:20:55, 1.36step/s]INFO 2026-03-12 04:26:34 ot_train.py:435 step:5K smpl:339K ep:1K epch:4.49 loss:0.435 grdn:12.633 lr:2.0e-05 updt_s:0.704 data_s:0.012 Training: 5%|▌ | 5301/100000 [1:04:19<19:10:16, 1.37step/s] Training: 5%|▌ | 5302/100000 [1:04:19<18:27:28, 1.43step/s] Training: 5%|▌ | 5303/100000 [1:04:20<19:16:45, 1.36step/s] Training: 5%|▌ | 5304/100000 [1:04:21<18:17:12, 1.44step/s] Training: 5%|▌ | 5305/100000 [1:04:22<19:00:20, 1.38step/s] Training: 5%|▌ | 5306/100000 [1:04:22<18:53:05, 1.39step/s] Training: 5%|▌ | 5307/100000 [1:04:23<19:05:12, 1.38step/s] Training: 5%|▌ | 5308/100000 [1:04:24<19:05:22, 1.38step/s] Training: 5%|▌ | 5309/100000 [1:04:25<19:20:40, 1.36step/s] Training: 5%|▌ | 5310/100000 [1:04:25<18:17:24, 1.44step/s] Training: 5%|▌ | 5311/100000 [1:04:26<19:06:39, 1.38step/s] Training: 5%|▌ | 5312/100000 [1:04:27<18:17:30, 1.44step/s] Training: 5%|▌ | 5313/100000 [1:04:27<18:54:30, 1.39step/s] Training: 5%|▌ | 5314/100000 [1:04:28<19:41:22, 1.34step/s] Training: 5%|▌ | 5315/100000 [1:04:29<20:14:17, 1.30step/s] Training: 5%|▌ | 5316/100000 [1:04:30<19:05:05, 1.38step/s] Training: 5%|▌ | 5317/100000 [1:04:30<19:47:39, 1.33step/s] Training: 5%|▌ | 5318/100000 [1:04:31<18:58:08, 1.39step/s] Training: 5%|▌ | 5319/100000 [1:04:32<18:57:55, 1.39step/s] Training: 5%|▌ | 5320/100000 [1:04:32<18:16:46, 1.44step/s] Training: 5%|▌ | 5321/100000 [1:04:33<18:26:02, 1.43step/s] Training: 5%|▌ | 5322/100000 [1:04:34<19:12:38, 1.37step/s] Training: 5%|▌ | 5323/100000 [1:04:35<20:02:53, 1.31step/s] Training: 5%|▌ | 5324/100000 [1:04:36<19:54:20, 1.32step/s] Training: 5%|▌ | 5325/100000 [1:04:36<19:31:17, 1.35step/s] Training: 5%|▌ | 5326/100000 [1:04:37<18:46:31, 1.40step/s] Training: 5%|▌ | 5327/100000 [1:04:38<19:26:36, 1.35step/s] Training: 5%|▌ | 5328/100000 [1:04:38<18:20:19, 1.43step/s] Training: 5%|▌ | 5329/100000 [1:04:39<18:47:53, 1.40step/s] Training: 5%|▌ | 5330/100000 [1:04:40<19:04:01, 1.38step/s] Training: 5%|▌ | 5331/100000 [1:04:41<19:26:54, 1.35step/s] Training: 5%|▌ | 5332/100000 [1:04:41<19:41:11, 1.34step/s] Training: 5%|▌ | 5333/100000 [1:04:42<19:23:31, 1.36step/s] Training: 5%|▌ | 5334/100000 [1:04:43<18:30:22, 1.42step/s] Training: 5%|▌ | 5335/100000 [1:04:43<19:02:55, 1.38step/s] Training: 5%|▌ | 5336/100000 [1:04:44<18:14:53, 1.44step/s] Training: 5%|▌ | 5337/100000 [1:04:45<18:51:51, 1.39step/s] Training: 5%|▌ | 5338/100000 [1:04:46<18:57:18, 1.39step/s] Training: 5%|▌ | 5339/100000 [1:04:46<19:22:53, 1.36step/s] Training: 5%|▌ | 5340/100000 [1:04:47<19:23:37, 1.36step/s] Training: 5%|▌ | 5341/100000 [1:04:48<19:27:57, 1.35step/s] Training: 5%|▌ | 5342/100000 [1:04:48<18:23:07, 1.43step/s] Training: 5%|▌ | 5343/100000 [1:04:49<17:48:46, 1.48step/s] Training: 5%|▌ | 5344/100000 [1:04:50<18:45:06, 1.40step/s] Training: 5%|▌ | 5345/100000 [1:04:51<18:38:01, 1.41step/s] Training: 5%|▌ | 5346/100000 [1:04:51<18:54:49, 1.39step/s] Training: 5%|▌ | 5347/100000 [1:04:52<19:13:24, 1.37step/s] Training: 5%|▌ | 5348/100000 [1:04:53<18:26:46, 1.43step/s] Training: 5%|▌ | 5349/100000 [1:04:54<19:04:28, 1.38step/s] Training: 5%|▌ | 5350/100000 [1:04:54<18:22:01, 1.43step/s] Training: 5%|▌ | 5351/100000 [1:04:55<17:56:51, 1.46step/s] Training: 5%|▌ | 5352/100000 [1:04:56<18:32:06, 1.42step/s] Training: 5%|▌ | 5353/100000 [1:04:56<19:14:09, 1.37step/s] Training: 5%|▌ | 5354/100000 [1:04:57<19:28:23, 1.35step/s] Training: 5%|▌ | 5355/100000 [1:04:58<19:30:35, 1.35step/s] Training: 5%|▌ | 5356/100000 [1:04:59<19:24:17, 1.35step/s] Training: 5%|▌ | 5357/100000 [1:04:59<19:09:08, 1.37step/s] Training: 5%|▌ | 5358/100000 [1:05:00<18:10:35, 1.45step/s] Training: 5%|▌ | 5359/100000 [1:05:01<17:43:14, 1.48step/s] Training: 5%|▌ | 5360/100000 [1:05:01<18:58:45, 1.39step/s] Training: 5%|▌ | 5361/100000 [1:05:02<19:03:55, 1.38step/s] Training: 5%|▌ | 5362/100000 [1:05:03<19:21:27, 1.36step/s] Training: 5%|▌ | 5363/100000 [1:05:04<19:37:36, 1.34step/s] Training: 5%|▌ | 5364/100000 [1:05:04<19:44:27, 1.33step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=30354 Training: 5%|▌ | 5365/100000 [1:05:05<19:24:34, 1.35step/s] Training: 5%|▌ | 5366/100000 [1:05:06<18:36:37, 1.41step/s] Training: 5%|▌ | 5367/100000 [1:05:06<17:53:59, 1.47step/s] Training: 5%|▌ | 5368/100000 [1:05:07<18:43:36, 1.40step/s] Training: 5%|▌ | 5369/100000 [1:05:08<19:04:42, 1.38step/s] Training: 5%|▌ | 5370/100000 [1:05:09<18:55:22, 1.39step/s] Training: 5%|▌ | 5371/100000 [1:05:09<19:14:54, 1.37step/s] Training: 5%|▌ | 5372/100000 [1:05:10<19:05:59, 1.38step/s] Training: 5%|▌ | 5373/100000 [1:05:11<19:16:24, 1.36step/s] Training: 5%|▌ | 5374/100000 [1:05:11<18:32:21, 1.42step/s] Training: 5%|▌ | 5375/100000 [1:05:12<17:59:41, 1.46step/s] Training: 5%|▌ | 5376/100000 [1:05:13<17:36:11, 1.49step/s] Training: 5%|▌ | 5377/100000 [1:05:14<18:39:24, 1.41step/s] Training: 5%|▌ | 5378/100000 [1:05:14<19:06:01, 1.38step/s] Training: 5%|▌ | 5379/100000 [1:05:15<20:00:51, 1.31step/s] Training: 5%|▌ | 5380/100000 [1:05:16<19:04:46, 1.38step/s] Training: 5%|▌ | 5381/100000 [1:05:17<19:16:57, 1.36step/s] Training: 5%|▌ | 5382/100000 [1:05:17<18:19:04, 1.43step/s] Training: 5%|▌ | 5383/100000 [1:05:18<17:49:16, 1.47step/s] Training: 5%|▌ | 5384/100000 [1:05:18<17:27:10, 1.51step/s] Training: 5%|▌ | 5385/100000 [1:05:19<18:29:18, 1.42step/s] Training: 5%|▌ | 5386/100000 [1:05:20<19:04:34, 1.38step/s] Training: 5%|▌ | 5387/100000 [1:05:21<19:25:44, 1.35step/s] Training: 5%|▌ | 5388/100000 [1:05:22<19:31:36, 1.35step/s] Training: 5%|▌ | 5389/100000 [1:05:22<19:26:53, 1.35step/s] Training: 5%|▌ | 5390/100000 [1:05:23<18:35:13, 1.41step/s] Training: 5%|▌ | 5391/100000 [1:05:24<17:55:54, 1.47step/s] Training: 5%|▌ | 5392/100000 [1:05:24<17:28:57, 1.50step/s] Training: 5%|▌ | 5393/100000 [1:05:25<18:29:44, 1.42step/s] Training: 5%|▌ | 5394/100000 [1:05:26<18:29:51, 1.42step/s] Training: 5%|▌ | 5395/100000 [1:05:26<19:04:52, 1.38step/s] Training: 5%|▌ | 5396/100000 [1:05:27<18:52:14, 1.39step/s] Training: 5%|▌ | 5397/100000 [1:05:28<18:46:20, 1.40step/s] Training: 5%|▌ | 5398/100000 [1:05:28<18:06:01, 1.45step/s] Training: 5%|▌ | 5399/100000 [1:05:29<17:36:59, 1.49step/s] Training: 5%|▌ | 5400/100000 [1:05:30<17:13:30, 1.53step/s]INFO 2026-03-12 04:27:46 ot_train.py:435 step:5K smpl:346K ep:1K epch:4.58 loss:0.467 grdn:12.402 lr:2.0e-05 updt_s:0.701 data_s:0.013 Training: 5%|▌ | 5401/100000 [1:05:30<18:07:17, 1.45step/s] Training: 5%|▌ | 5402/100000 [1:05:31<18:17:25, 1.44step/s] Training: 5%|▌ | 5403/100000 [1:05:32<19:00:46, 1.38step/s] Training: 5%|▌ | 5404/100000 [1:05:33<19:06:09, 1.38step/s] Training: 5%|▌ | 5405/100000 [1:05:33<19:31:25, 1.35step/s] Training: 5%|▌ | 5406/100000 [1:05:34<18:38:17, 1.41step/s] Training: 5%|▌ | 5407/100000 [1:05:35<18:06:12, 1.45step/s] Training: 5%|▌ | 5408/100000 [1:05:35<17:37:22, 1.49step/s] Training: 5%|▌ | 5409/100000 [1:05:36<18:08:56, 1.45step/s] Training: 5%|▌ | 5410/100000 [1:05:37<18:34:15, 1.41step/s] Training: 5%|▌ | 5411/100000 [1:05:38<18:57:37, 1.39step/s] Training: 5%|▌ | 5412/100000 [1:05:38<18:12:39, 1.44step/s] Training: 5%|▌ | 5413/100000 [1:05:39<18:56:15, 1.39step/s] Training: 5%|▌ | 5414/100000 [1:05:40<18:11:24, 1.44step/s] Training: 5%|▌ | 5415/100000 [1:05:40<17:30:20, 1.50step/s] Training: 5%|▌ | 5416/100000 [1:05:41<17:01:29, 1.54step/s] Training: 5%|▌ | 5417/100000 [1:05:42<18:05:38, 1.45step/s] Training: 5%|▌ | 5418/100000 [1:05:42<18:55:19, 1.39step/s] Training: 5%|▌ | 5419/100000 [1:05:43<18:54:37, 1.39step/s] Training: 5%|▌ | 5420/100000 [1:05:44<19:26:49, 1.35step/s] Training: 5%|▌ | 5421/100000 [1:05:45<19:11:09, 1.37step/s] Training: 5%|▌ | 5422/100000 [1:05:45<18:22:07, 1.43step/s] Training: 5%|▌ | 5423/100000 [1:05:46<17:51:30, 1.47step/s] Training: 5%|▌ | 5424/100000 [1:05:47<17:27:51, 1.50step/s] Training: 5%|▌ | 5425/100000 [1:05:47<18:28:33, 1.42step/s] Training: 5%|▌ | 5426/100000 [1:05:48<18:55:41, 1.39step/s] Training: 5%|▌ | 5427/100000 [1:05:49<19:11:47, 1.37step/s] Training: 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1.40step/s] Training: 5%|▌ | 5445/100000 [1:06:02<19:11:29, 1.37step/s] Training: 5%|▌ | 5446/100000 [1:06:02<18:32:27, 1.42step/s] Training: 5%|▌ | 5447/100000 [1:06:03<18:02:35, 1.46step/s] Training: 5%|▌ | 5448/100000 [1:06:04<17:35:28, 1.49step/s] Training: 5%|▌ | 5449/100000 [1:06:04<18:21:51, 1.43step/s] Training: 5%|▌ | 5450/100000 [1:06:05<18:59:39, 1.38step/s] Training: 5%|▌ | 5451/100000 [1:06:06<20:01:24, 1.31step/s] Training: 5%|▌ | 5452/100000 [1:06:07<19:57:38, 1.32step/s] Training: 5%|▌ | 5453/100000 [1:06:07<19:31:08, 1.35step/s] Training: 5%|▌ | 5454/100000 [1:06:08<18:38:48, 1.41step/s] Training: 5%|▌ | 5455/100000 [1:06:09<17:56:58, 1.46step/s] Training: 5%|▌ | 5456/100000 [1:06:09<17:36:47, 1.49step/s] Training: 5%|▌ | 5457/100000 [1:06:10<18:18:21, 1.43step/s] Training: 5%|▌ | 5458/100000 [1:06:11<18:44:39, 1.40step/s] Training: 5%|▌ | 5459/100000 [1:06:12<19:18:58, 1.36step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=48603 Training: 5%|▌ | 5460/100000 [1:06:12<19:27:51, 1.35step/s] Training: 5%|▌ | 5461/100000 [1:06:13<19:30:48, 1.35step/s] Training: 5%|▌ | 5462/100000 [1:06:14<18:24:27, 1.43step/s] Training: 5%|▌ | 5463/100000 [1:06:14<17:46:46, 1.48step/s] Training: 5%|▌ | 5464/100000 [1:06:15<17:22:24, 1.51step/s] Training: 5%|▌ | 5465/100000 [1:06:16<18:30:42, 1.42step/s] Training: 5%|▌ | 5466/100000 [1:06:17<18:49:14, 1.40step/s] Training: 5%|▌ | 5467/100000 [1:06:17<19:23:38, 1.35step/s] Training: 5%|▌ | 5468/100000 [1:06:18<19:18:01, 1.36step/s] Training: 5%|▌ | 5469/100000 [1:06:19<18:29:25, 1.42step/s] Training: 5%|▌ | 5470/100000 [1:06:19<18:42:22, 1.40step/s] Training: 5%|▌ | 5471/100000 [1:06:20<18:03:19, 1.45step/s] Training: 5%|▌ | 5472/100000 [1:06:21<17:38:29, 1.49step/s] Training: 5%|▌ | 5473/100000 [1:06:21<18:12:03, 1.44step/s] Training: 5%|▌ | 5474/100000 [1:06:22<18:41:28, 1.40step/s] Training: 5%|▌ | 5475/100000 [1:06:23<19:20:43, 1.36step/s] Training: 5%|▌ | 5476/100000 [1:06:24<18:35:41, 1.41step/s] Training: 5%|▌ | 5477/100000 [1:06:24<19:02:27, 1.38step/s] Training: 5%|▌ | 5478/100000 [1:06:25<18:15:36, 1.44step/s] Training: 5%|▌ | 5479/100000 [1:06:26<17:44:00, 1.48step/s] Training: 5%|▌ | 5480/100000 [1:06:26<17:12:53, 1.53step/s] Training: 5%|▌ | 5481/100000 [1:06:27<18:09:24, 1.45step/s] Training: 5%|▌ | 5482/100000 [1:06:28<18:37:00, 1.41step/s] Training: 5%|▌ | 5483/100000 [1:06:29<18:51:58, 1.39step/s] Training: 5%|▌ | 5484/100000 [1:06:29<19:18:42, 1.36step/s] Training: 5%|▌ | 5485/100000 [1:06:30<19:08:27, 1.37step/s] Training: 5%|▌ | 5486/100000 [1:06:31<18:22:54, 1.43step/s] Training: 5%|▌ | 5487/100000 [1:06:31<17:57:34, 1.46step/s] Training: 5%|▌ | 5488/100000 [1:06:32<17:37:02, 1.49step/s] Training: 5%|▌ | 5489/100000 [1:06:33<18:32:00, 1.42step/s] Training: 5%|▌ | 5490/100000 [1:06:33<18:54:21, 1.39step/s] Training: 5%|▌ | 5491/100000 [1:06:34<19:23:47, 1.35step/s] Training: 5%|▌ | 5492/100000 [1:06:35<19:36:51, 1.34step/s] Training: 5%|▌ | 5493/100000 [1:06:36<19:37:04, 1.34step/s] Training: 5%|▌ | 5494/100000 [1:06:36<18:48:43, 1.40step/s] Training: 5%|▌ | 5495/100000 [1:06:37<18:06:41, 1.45step/s] Training: 5%|▌ | 5496/100000 [1:06:38<17:50:25, 1.47step/s] Training: 5%|▌ | 5497/100000 [1:06:39<18:39:21, 1.41step/s] Training: 5%|▌ | 5498/100000 [1:06:39<18:58:38, 1.38step/s] Training: 5%|▌ | 5499/100000 [1:06:40<19:48:04, 1.33step/s] Training: 6%|▌ | 5500/100000 [1:06:41<19:45:07, 1.33step/s]INFO 2026-03-12 04:28:57 ot_train.py:435 step:6K smpl:352K ep:1K epch:4.66 loss:0.451 grdn:12.384 lr:2.0e-05 updt_s:0.697 data_s:0.012 Training: 6%|▌ | 5501/100000 [1:06:42<20:19:42, 1.29step/s] Training: 6%|▌ | 5502/100000 [1:06:42<19:16:10, 1.36step/s] Training: 6%|▌ | 5503/100000 [1:06:43<18:27:09, 1.42step/s] Training: 6%|▌ | 5504/100000 [1:06:44<17:56:14, 1.46step/s] Training: 6%|▌ | 5505/100000 [1:06:44<18:21:00, 1.43step/s] Training: 6%|▌ | 5506/100000 [1:06:45<19:08:04, 1.37step/s] Training: 6%|▌ | 5507/100000 [1:06:46<19:36:43, 1.34step/s] Training: 6%|▌ | 5508/100000 [1:06:47<20:41:17, 1.27step/s] Training: 6%|▌ | 5509/100000 [1:06:48<20:24:42, 1.29step/s] Training: 6%|▌ | 5510/100000 [1:06:48<19:12:02, 1.37step/s] Training: 6%|▌ | 5511/100000 [1:06:49<18:22:38, 1.43step/s] Training: 6%|▌ | 5512/100000 [1:06:49<17:56:50, 1.46step/s] Training: 6%|▌ | 5513/100000 [1:06:50<18:45:44, 1.40step/s] Training: 6%|▌ | 5514/100000 [1:06:51<19:16:50, 1.36step/s] Training: 6%|▌ | 5515/100000 [1:06:52<19:15:06, 1.36step/s] Training: 6%|▌ | 5516/100000 [1:06:52<18:51:14, 1.39step/s] Training: 6%|▌ | 5517/100000 [1:06:53<19:36:54, 1.34step/s] Training: 6%|▌ | 5518/100000 [1:06:54<18:36:00, 1.41step/s] Training: 6%|▌ | 5519/100000 [1:06:54<18:00:57, 1.46step/s] Training: 6%|▌ | 5520/100000 [1:06:55<17:34:38, 1.49step/s] Training: 6%|▌ | 5521/100000 [1:06:56<18:24:16, 1.43step/s] Training: 6%|▌ | 5522/100000 [1:06:57<19:21:02, 1.36step/s] Training: 6%|▌ | 5523/100000 [1:06:57<19:43:41, 1.33step/s] Training: 6%|▌ | 5524/100000 [1:06:58<19:40:45, 1.33step/s] Training: 6%|▌ | 5525/100000 [1:06:59<19:51:42, 1.32step/s] Training: 6%|▌ | 5526/100000 [1:07:00<18:37:55, 1.41step/s] Training: 6%|▌ | 5527/100000 [1:07:00<17:48:05, 1.47step/s] Training: 6%|▌ | 5528/100000 [1:07:01<17:23:03, 1.51step/s] Training: 6%|▌ | 5529/100000 [1:07:02<18:30:03, 1.42step/s] Training: 6%|▌ | 5530/100000 [1:07:02<18:47:42, 1.40step/s] Training: 6%|▌ | 5531/100000 [1:07:03<19:21:20, 1.36step/s] Training: 6%|▌ | 5532/100000 [1:07:04<19:22:02, 1.35step/s] Training: 6%|▌ | 5533/100000 [1:07:05<19:05:34, 1.37step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=52484 Training: 6%|▌ | 5534/100000 [1:07:05<18:31:58, 1.42step/s] Training: 6%|▌ | 5535/100000 [1:07:06<17:55:35, 1.46step/s] Training: 6%|▌ | 5536/100000 [1:07:07<17:29:07, 1.50step/s] Training: 6%|▌ | 5537/100000 [1:07:07<18:05:53, 1.45step/s] Training: 6%|▌ | 5538/100000 [1:07:08<18:33:01, 1.41step/s] Training: 6%|▌ | 5539/100000 [1:07:09<18:54:29, 1.39step/s] Training: 6%|▌ | 5540/100000 [1:07:10<19:07:31, 1.37step/s] Training: 6%|▌ | 5541/100000 [1:07:10<19:15:30, 1.36step/s] Training: 6%|▌ | 5542/100000 [1:07:11<18:24:05, 1.43step/s] Training: 6%|▌ | 5543/100000 [1:07:11<17:42:04, 1.48step/s] Training: 6%|▌ | 5544/100000 [1:07:12<17:17:51, 1.52step/s] Training: 6%|▌ | 5545/100000 [1:07:13<18:09:44, 1.44step/s] Training: 6%|▌ | 5546/100000 [1:07:14<18:47:33, 1.40step/s] Training: 6%|▌ | 5547/100000 [1:07:14<18:52:06, 1.39step/s] Training: 6%|▌ | 5548/100000 [1:07:15<19:31:51, 1.34step/s] Training: 6%|▌ | 5549/100000 [1:07:16<19:41:07, 1.33step/s] Training: 6%|▌ | 5550/100000 [1:07:17<18:41:10, 1.40step/s] Training: 6%|▌ | 5551/100000 [1:07:17<18:03:43, 1.45step/s] Training: 6%|▌ | 5552/100000 [1:07:18<17:41:49, 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[1:07:30<18:26:13, 1.42step/s] Training: 6%|▌ | 5570/100000 [1:07:31<19:06:53, 1.37step/s] Training: 6%|▌ | 5571/100000 [1:07:32<19:20:15, 1.36step/s] Training: 6%|▌ | 5572/100000 [1:07:32<18:36:35, 1.41step/s] Training: 6%|▌ | 5573/100000 [1:07:33<19:17:16, 1.36step/s] Training: 6%|▌ | 5574/100000 [1:07:34<19:45:09, 1.33step/s] Training: 6%|▌ | 5575/100000 [1:07:35<18:33:47, 1.41step/s] Training: 6%|▌ | 5576/100000 [1:07:35<17:52:55, 1.47step/s] Training: 6%|▌ | 5577/100000 [1:07:36<18:34:09, 1.41step/s] Training: 6%|▌ | 5578/100000 [1:07:37<19:02:03, 1.38step/s] Training: 6%|▌ | 5579/100000 [1:07:37<19:06:32, 1.37step/s] Training: 6%|▌ | 5580/100000 [1:07:38<19:12:25, 1.37step/s] Training: 6%|▌ | 5581/100000 [1:07:39<19:27:00, 1.35step/s] Training: 6%|▌ | 5582/100000 [1:07:40<19:51:38, 1.32step/s] Training: 6%|▌ | 5583/100000 [1:07:40<18:47:44, 1.40step/s] Training: 6%|▌ | 5584/100000 [1:07:41<18:06:12, 1.45step/s] Training: 6%|▌ | 5585/100000 [1:07:42<18:38:50, 1.41step/s] Training: 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updt_s:0.703 data_s:0.012 Training: 6%|▌ | 5601/100000 [1:07:53<18:59:45, 1.38step/s] Training: 6%|▌ | 5602/100000 [1:07:54<19:22:43, 1.35step/s] Training: 6%|▌ | 5603/100000 [1:07:55<19:37:44, 1.34step/s] Training: 6%|▌ | 5604/100000 [1:07:56<18:46:11, 1.40step/s] Training: 6%|▌ | 5605/100000 [1:07:56<19:02:04, 1.38step/s] Training: 6%|▌ | 5606/100000 [1:07:57<18:07:10, 1.45step/s] Training: 6%|▌ | 5607/100000 [1:07:58<18:10:53, 1.44step/s] Training: 6%|▌ | 5608/100000 [1:07:58<17:27:54, 1.50step/s] Training: 6%|▌ | 5609/100000 [1:07:59<18:31:12, 1.42step/s] Training: 6%|▌ | 5610/100000 [1:08:00<18:50:38, 1.39step/s] Training: 6%|▌ | 5611/100000 [1:08:00<18:50:51, 1.39step/s] Training: 6%|▌ | 5612/100000 [1:08:01<19:23:26, 1.35step/s] Training: 6%|▌ | 5613/100000 [1:08:02<19:36:55, 1.34step/s] Training: 6%|▌ | 5614/100000 [1:08:03<18:42:43, 1.40step/s] Training: 6%|▌ | 5615/100000 [1:08:03<19:18:18, 1.36step/s] Training: 6%|▌ | 5616/100000 [1:08:04<18:32:03, 1.41step/s] Training: 6%|▌ 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[1:09:05<18:14:39, 1.44step/s]INFO 2026-03-12 04:31:21 ot_train.py:435 step:6K smpl:365K ep:1K epch:4.83 loss:0.483 grdn:12.441 lr:2.0e-05 updt_s:0.705 data_s:0.012 Training: 6%|▌ | 5701/100000 [1:09:05<18:45:01, 1.40step/s] Training: 6%|▌ | 5702/100000 [1:09:06<18:01:03, 1.45step/s] Training: 6%|▌ | 5703/100000 [1:09:07<17:36:10, 1.49step/s] Training: 6%|▌ | 5704/100000 [1:09:07<17:20:07, 1.51step/s] Training: 6%|▌ | 5705/100000 [1:09:08<18:21:35, 1.43step/s] Training: 6%|▌ | 5706/100000 [1:09:09<18:49:45, 1.39step/s] Training: 6%|▌ | 5707/100000 [1:09:10<19:16:46, 1.36step/s] Training: 6%|▌ | 5708/100000 [1:09:10<19:36:44, 1.34step/s] Training: 6%|▌ | 5709/100000 [1:09:11<19:42:08, 1.33step/s] Training: 6%|▌ | 5710/100000 [1:09:12<18:34:31, 1.41step/s] Training: 6%|▌ | 5711/100000 [1:09:12<17:54:16, 1.46step/s] Training: 6%|▌ | 5712/100000 [1:09:13<17:29:01, 1.50step/s] Training: 6%|▌ | 5713/100000 [1:09:14<18:16:19, 1.43step/s] Training: 6%|▌ | 5714/100000 [1:09:15<19:01:57, 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6%|▌ | 5879/100000 [1:11:13<18:50:07, 1.39step/s] Training: 6%|▌ | 5880/100000 [1:11:13<17:55:50, 1.46step/s] Training: 6%|▌ | 5881/100000 [1:11:14<18:17:31, 1.43step/s] Training: 6%|▌ | 5882/100000 [1:11:15<18:45:12, 1.39step/s] Training: 6%|▌ | 5883/100000 [1:11:16<19:21:38, 1.35step/s] Training: 6%|▌ | 5884/100000 [1:11:16<19:16:09, 1.36step/s] Training: 6%|▌ | 5885/100000 [1:11:17<18:42:48, 1.40step/s] Training: 6%|▌ | 5886/100000 [1:11:18<18:24:15, 1.42step/s] Training: 6%|▌ | 5887/100000 [1:11:18<17:29:59, 1.49step/s] Training: 6%|▌ | 5888/100000 [1:11:19<16:51:39, 1.55step/s] Training: 6%|▌ | 5889/100000 [1:11:19<17:00:30, 1.54step/s] Training: 6%|▌ | 5890/100000 [1:11:20<17:24:20, 1.50step/s] Training: 6%|▌ | 5891/100000 [1:11:21<17:28:11, 1.50step/s] Training: 6%|▌ | 5892/100000 [1:11:22<17:48:51, 1.47step/s] Training: 6%|▌ | 5893/100000 [1:11:22<18:01:27, 1.45step/s] Training: 6%|▌ | 5894/100000 [1:11:23<17:15:56, 1.51step/s] Training: 6%|▌ | 5895/100000 [1:11:24<17:47:07, 1.47step/s] Training: 6%|▌ | 5896/100000 [1:11:24<17:03:48, 1.53step/s] Training: 6%|▌ | 5897/100000 [1:11:25<17:25:07, 1.50step/s] Training: 6%|▌ | 5898/100000 [1:11:26<17:42:29, 1.48step/s] Training: 6%|▌ | 5899/100000 [1:11:26<17:33:39, 1.49step/s] Training: 6%|▌ | 5900/100000 [1:11:29<32:37:33, 1.25s/step]INFO 2026-03-12 04:33:45 ot_train.py:435 step:6K smpl:378K ep:1K epch:5.00 loss:0.438 grdn:12.236 lr:2.0e-05 updt_s:0.698 data_s:0.031 huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 6%|▌ | 5901/100000 [1:11:33<54:31:36, 2.09s/step] Training: 6%|▌ | 5902/100000 [1:11:34<43:14:31, 1.65s/step] Training: 6%|▌ | 5903/100000 [1:11:34<36:43:29, 1.41s/step] Training: 6%|▌ | 5904/100000 [1:11:35<30:26:45, 1.16s/step] Training: 6%|▌ | 5905/100000 [1:11:36<27:36:46, 1.06s/step] Training: 6%|▌ | 5906/100000 [1:11:37<25:19:09, 1.03step/s] Training: 6%|▌ | 5907/100000 [1:11:37<24:08:24, 1.08step/s] Training: 6%|▌ | 5908/100000 [1:11:38<23:11:26, 1.13step/s] Training: 6%|▌ | 5909/100000 [1:11:39<22:00:49, 1.19step/s] Training: 6%|▌ | 5910/100000 [1:11:40<20:29:27, 1.28step/s] Training: 6%|▌ | 5911/100000 [1:11:40<20:59:24, 1.25step/s] Training: 6%|▌ | 5912/100000 [1:11:41<19:36:10, 1.33step/s] Training: 6%|▌ | 5913/100000 [1:11:42<19:52:34, 1.31step/s] Training: 6%|▌ | 5914/100000 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[1:13:52<20:20:55, 1.28step/s] Training: 6%|▌ | 6093/100000 [1:13:53<19:58:00, 1.31step/s] Training: 6%|▌ | 6094/100000 [1:13:54<19:34:27, 1.33step/s] Training: 6%|▌ | 6095/100000 [1:13:54<18:26:28, 1.41step/s] Training: 6%|▌ | 6096/100000 [1:13:55<17:48:53, 1.46step/s] Training: 6%|▌ | 6097/100000 [1:13:56<18:32:30, 1.41step/s] Training: 6%|▌ | 6098/100000 [1:13:56<18:37:29, 1.40step/s] Training: 6%|▌ | 6099/100000 [1:13:57<19:03:36, 1.37step/s] Training: 6%|▌ | 6100/100000 [1:13:58<19:51:02, 1.31step/s]INFO 2026-03-12 04:36:14 ot_train.py:435 step:6K smpl:390K ep:1K epch:5.17 loss:0.400 grdn:11.801 lr:2.0e-05 updt_s:0.715 data_s:0.013 Training: 6%|▌ | 6101/100000 [1:13:59<18:48:22, 1.39step/s] Training: 6%|▌ | 6102/100000 [1:13:59<19:20:18, 1.35step/s] Training: 6%|▌ | 6103/100000 [1:14:00<18:16:35, 1.43step/s] Training: 6%|▌ | 6104/100000 [1:14:01<17:32:00, 1.49step/s] Training: 6%|▌ | 6105/100000 [1:14:01<18:20:23, 1.42step/s] Training: 6%|▌ | 6106/100000 [1:14:02<17:49:43, 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[1:14:51<19:34:37, 1.33step/s] Training: 6%|▌ | 6174/100000 [1:14:52<20:04:41, 1.30step/s] Training: 6%|▌ | 6175/100000 [1:14:53<18:44:45, 1.39step/s] Training: 6%|▌ | 6176/100000 [1:14:53<17:59:50, 1.45step/s] Training: 6%|▌ | 6177/100000 [1:14:54<18:16:09, 1.43step/s] Training: 6%|▌ | 6178/100000 [1:14:55<18:59:03, 1.37step/s] Training: 6%|▌ | 6179/100000 [1:14:56<19:18:40, 1.35step/s] Training: 6%|▌ | 6180/100000 [1:14:56<18:58:10, 1.37step/s] Training: 6%|▌ | 6181/100000 [1:14:57<19:15:32, 1.35step/s] Training: 6%|▌ | 6182/100000 [1:14:58<19:36:39, 1.33step/s] Training: 6%|▌ | 6183/100000 [1:14:58<18:25:28, 1.41step/s] Training: 6%|▌ | 6184/100000 [1:14:59<17:42:23, 1.47step/s] Training: 6%|▌ | 6185/100000 [1:15:00<18:09:13, 1.44step/s] Training: 6%|▌ | 6186/100000 [1:15:00<18:41:12, 1.39step/s] Training: 6%|▌ | 6187/100000 [1:15:01<19:10:15, 1.36step/s] Training: 6%|▌ | 6188/100000 [1:15:02<19:26:14, 1.34step/s] Training: 6%|▌ | 6189/100000 [1:15:03<20:04:55, 1.30step/s] Training: 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Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=65902 Training: 6%|▋ | 6302/100000 [1:16:26<19:18:32, 1.35step/s] Training: 6%|▋ | 6303/100000 [1:16:26<18:26:38, 1.41step/s] Training: 6%|▋ | 6304/100000 [1:16:27<17:44:57, 1.47step/s] Training: 6%|▋ | 6305/100000 [1:16:28<17:55:34, 1.45step/s] Training: 6%|▋ | 6306/100000 [1:16:29<18:52:27, 1.38step/s] Training: 6%|▋ | 6307/100000 [1:16:29<18:51:55, 1.38step/s] Training: 6%|▋ | 6308/100000 [1:16:30<19:04:01, 1.36step/s] Training: 6%|▋ | 6309/100000 [1:16:31<19:15:55, 1.35step/s] Training: 6%|▋ | 6310/100000 [1:16:32<19:13:33, 1.35step/s] Training: 6%|▋ | 6311/100000 [1:16:32<18:23:47, 1.41step/s] Training: 6%|▋ | 6312/100000 [1:16:33<17:54:44, 1.45step/s] Training: 6%|▋ | 6313/100000 [1:16:34<18:57:36, 1.37step/s] Training: 6%|▋ | 6314/100000 [1:16:34<19:15:03, 1.35step/s] Training: 6%|▋ | 6315/100000 [1:16:35<19:23:03, 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[1:17:23<19:25:55, 1.34step/s] Training: 6%|▋ | 6383/100000 [1:17:24<18:23:32, 1.41step/s] Training: 6%|▋ | 6384/100000 [1:17:25<17:37:01, 1.48step/s] Training: 6%|▋ | 6385/100000 [1:17:25<18:18:37, 1.42step/s] Training: 6%|▋ | 6386/100000 [1:17:26<18:21:48, 1.42step/s] Training: 6%|▋ | 6387/100000 [1:17:27<19:01:11, 1.37step/s] Training: 6%|▋ | 6388/100000 [1:17:28<19:17:09, 1.35step/s] Training: 6%|▋ | 6389/100000 [1:17:28<19:13:02, 1.35step/s] Training: 6%|▋ | 6390/100000 [1:17:29<19:20:33, 1.34step/s] Training: 6%|▋ | 6391/100000 [1:17:30<18:25:02, 1.41step/s] Training: 6%|▋ | 6392/100000 [1:17:30<18:04:00, 1.44step/s] Training: 6%|▋ | 6393/100000 [1:17:31<18:19:30, 1.42step/s] Training: 6%|▋ | 6394/100000 [1:17:32<18:15:48, 1.42step/s] Training: 6%|▋ | 6395/100000 [1:17:33<18:23:30, 1.41step/s] Training: 6%|▋ | 6396/100000 [1:17:33<18:58:28, 1.37step/s] Training: 6%|▋ | 6397/100000 [1:17:34<19:08:38, 1.36step/s] Training: 6%|▋ | 6398/100000 [1:17:35<19:21:46, 1.34step/s] Training: 6%|▋ | 6399/100000 [1:17:36<18:25:49, 1.41step/s] Training: 6%|▋ | 6400/100000 [1:17:36<17:45:27, 1.46step/s]INFO 2026-03-12 04:39:52 ot_train.py:435 step:6K smpl:410K ep:1K epch:5.42 loss:0.410 grdn:11.821 lr:2.0e-05 updt_s:0.704 data_s:0.012 Training: 6%|▋ | 6401/100000 [1:17:37<17:57:06, 1.45step/s] Training: 6%|▋ | 6402/100000 [1:17:38<18:33:08, 1.40step/s] Training: 6%|▋ | 6403/100000 [1:17:38<18:37:44, 1.40step/s] Training: 6%|▋ | 6404/100000 [1:17:39<19:18:38, 1.35step/s] Training: 6%|▋ | 6405/100000 [1:17:40<19:15:23, 1.35step/s] Training: 6%|▋ | 6406/100000 [1:17:41<19:01:05, 1.37step/s] Training: 6%|▋ | 6407/100000 [1:17:41<18:12:28, 1.43step/s] Training: 6%|▋ | 6408/100000 [1:17:42<17:32:24, 1.48step/s] Training: 6%|▋ | 6409/100000 [1:17:43<18:09:08, 1.43step/s] Training: 6%|▋ | 6410/100000 [1:17:43<18:40:49, 1.39step/s] Training: 6%|▋ | 6411/100000 [1:17:44<19:18:43, 1.35step/s] Training: 6%|▋ | 6412/100000 [1:17:45<19:25:51, 1.34step/s] Training: 6%|▋ | 6413/100000 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[1:18:22<18:21:22, 1.42step/s] Training: 6%|▋ | 6464/100000 [1:18:22<17:40:40, 1.47step/s] Training: 6%|▋ | 6465/100000 [1:18:23<17:51:29, 1.45step/s] Training: 6%|▋ | 6466/100000 [1:18:24<18:15:16, 1.42step/s] Training: 6%|▋ | 6467/100000 [1:18:24<18:14:05, 1.42step/s] Training: 6%|▋ | 6468/100000 [1:18:25<18:35:30, 1.40step/s] Training: 6%|▋ | 6469/100000 [1:18:26<19:03:31, 1.36step/s] Training: 6%|▋ | 6470/100000 [1:18:27<19:26:48, 1.34step/s] Training: 6%|▋ | 6471/100000 [1:18:27<18:28:31, 1.41step/s] Training: 6%|▋ | 6472/100000 [1:18:28<17:52:00, 1.45step/s] Training: 6%|▋ | 6473/100000 [1:18:29<18:34:57, 1.40step/s] Training: 6%|▋ | 6474/100000 [1:18:30<19:04:03, 1.36step/s] Training: 6%|▋ | 6475/100000 [1:18:30<19:09:59, 1.36step/s] Training: 6%|▋ | 6476/100000 [1:18:31<19:27:00, 1.34step/s] Training: 6%|▋ | 6477/100000 [1:18:32<19:37:17, 1.32step/s] Training: 6%|▋ | 6478/100000 [1:18:33<20:12:48, 1.29step/s] Training: 6%|▋ | 6479/100000 [1:18:33<18:57:49, 1.37step/s] Training: 6%|▋ | 6480/100000 [1:18:34<18:06:48, 1.43step/s] Training: 6%|▋ | 6481/100000 [1:18:35<18:30:53, 1.40step/s] Training: 6%|▋ | 6482/100000 [1:18:35<18:30:05, 1.40step/s] Training: 6%|▋ | 6483/100000 [1:18:36<18:49:53, 1.38step/s] Training: 6%|▋ | 6484/100000 [1:18:37<19:08:53, 1.36step/s] Training: 6%|▋ | 6485/100000 [1:18:38<18:47:27, 1.38step/s] Training: 6%|▋ | 6486/100000 [1:18:38<19:16:40, 1.35step/s] Training: 6%|▋ | 6487/100000 [1:18:39<18:18:37, 1.42step/s] Training: 6%|▋ | 6488/100000 [1:18:40<17:40:50, 1.47step/s] Training: 6%|▋ | 6489/100000 [1:18:40<18:14:35, 1.42step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=30125 Training: 6%|▋ | 6490/100000 [1:18:41<18:33:59, 1.40step/s] Training: 6%|▋ | 6491/100000 [1:18:42<18:38:23, 1.39step/s] Training: 6%|▋ | 6492/100000 [1:18:43<18:37:27, 1.39step/s] Training: 6%|▋ | 6493/100000 [1:18:43<19:07:45, 1.36step/s] Training: 6%|▋ | 6494/100000 [1:18:44<19:45:06, 1.32step/s] Training: 6%|▋ | 6495/100000 [1:18:45<18:38:50, 1.39step/s] Training: 6%|▋ | 6496/100000 [1:18:45<17:56:16, 1.45step/s] Training: 6%|▋ | 6497/100000 [1:18:46<18:09:11, 1.43step/s] Training: 6%|▋ | 6498/100000 [1:18:47<19:08:36, 1.36step/s] Training: 6%|▋ | 6499/100000 [1:18:48<19:08:30, 1.36step/s] Training: 6%|▋ | 6500/100000 [1:18:48<19:12:40, 1.35step/s]INFO 2026-03-12 04:41:04 ot_train.py:435 step:6K smpl:416K ep:1K epch:5.51 loss:0.425 grdn:12.178 lr:2.0e-05 updt_s:0.708 data_s:0.012 Training: 7%|▋ | 6501/100000 [1:18:49<19:38:12, 1.32step/s] Training: 7%|▋ | 6502/100000 [1:18:50<19:51:59, 1.31step/s] Training: 7%|▋ | 6503/100000 [1:18:51<18:49:17, 1.38step/s] Training: 7%|▋ | 6504/100000 [1:18:51<18:04:46, 1.44step/s] Training: 7%|▋ | 6505/100000 [1:18:52<18:43:49, 1.39step/s] Training: 7%|▋ | 6506/100000 [1:18:53<19:11:01, 1.35step/s] Training: 7%|▋ | 6507/100000 [1:18:54<19:22:58, 1.34step/s] Training: 7%|▋ | 6508/100000 [1:18:54<19:40:57, 1.32step/s] Training: 7%|▋ | 6509/100000 [1:18:55<19:15:28, 1.35step/s] Training: 7%|▋ | 6510/100000 [1:18:56<19:07:43, 1.36step/s] Training: 7%|▋ | 6511/100000 [1:18:57<19:32:18, 1.33step/s] Training: 7%|▋ | 6512/100000 [1:18:57<18:30:48, 1.40step/s] Training: 7%|▋ | 6513/100000 [1:18:58<18:56:21, 1.37step/s] Training: 7%|▋ | 6514/100000 [1:18:59<18:46:47, 1.38step/s] Training: 7%|▋ | 6515/100000 [1:18:59<19:09:42, 1.36step/s] Training: 7%|▋ | 6516/100000 [1:19:00<19:14:02, 1.35step/s] Training: 7%|▋ | 6517/100000 [1:19:01<18:52:29, 1.38step/s] Training: 7%|▋ | 6518/100000 [1:19:02<19:09:16, 1.36step/s] Training: 7%|▋ | 6519/100000 [1:19:02<19:13:29, 1.35step/s] Training: 7%|▋ | 6520/100000 [1:19:03<18:18:16, 1.42step/s] Training: 7%|▋ | 6521/100000 [1:19:04<18:46:33, 1.38step/s] Training: 7%|▋ | 6522/100000 [1:19:04<18:36:39, 1.40step/s] Training: 7%|▋ | 6523/100000 [1:19:05<18:37:43, 1.39step/s] Training: 7%|▋ | 6524/100000 [1:19:06<18:40:10, 1.39step/s] Training: 7%|▋ | 6525/100000 [1:19:07<18:56:06, 1.37step/s] Training: 7%|▋ | 6526/100000 [1:19:07<19:26:32, 1.34step/s] Training: 7%|▋ | 6527/100000 [1:19:08<19:24:12, 1.34step/s] Training: 7%|▋ | 6528/100000 [1:19:09<18:26:48, 1.41step/s] Training: 7%|▋ | 6529/100000 [1:19:10<18:38:22, 1.39step/s] Training: 7%|▋ | 6530/100000 [1:19:10<18:57:44, 1.37step/s] Training: 7%|▋ | 6531/100000 [1:19:11<18:54:22, 1.37step/s] Training: 7%|▋ | 6532/100000 [1:19:12<18:46:27, 1.38step/s] Training: 7%|▋ | 6533/100000 [1:19:13<18:57:14, 1.37step/s] Training: 7%|▋ | 6534/100000 [1:19:13<18:47:09, 1.38step/s] Training: 7%|▋ | 6535/100000 [1:19:14<18:01:14, 1.44step/s] Training: 7%|▋ | 6536/100000 [1:19:15<18:40:50, 1.39step/s] Training: 7%|▋ | 6537/100000 [1:19:15<18:53:17, 1.37step/s] Training: 7%|▋ | 6538/100000 [1:19:16<18:55:55, 1.37step/s] Training: 7%|▋ | 6539/100000 [1:19:17<19:08:25, 1.36step/s] Training: 7%|▋ | 6540/100000 [1:19:18<19:17:41, 1.35step/s] Training: 7%|▋ | 6541/100000 [1:19:18<18:53:11, 1.37step/s] Training: 7%|▋ | 6542/100000 [1:19:19<18:54:25, 1.37step/s] Training: 7%|▋ | 6543/100000 [1:19:20<18:06:59, 1.43step/s] Training: 7%|▋ | 6544/100000 [1:19:20<18:51:23, 1.38step/s] Training: 7%|▋ | 6545/100000 [1:19:21<19:02:09, 1.36step/s] Training: 7%|▋ | 6546/100000 [1:19:22<19:15:59, 1.35step/s] Training: 7%|▋ | 6547/100000 [1:19:23<19:21:06, 1.34step/s] Training: 7%|▋ | 6548/100000 [1:19:24<19:45:25, 1.31step/s] Training: 7%|▋ | 6549/100000 [1:19:24<19:37:34, 1.32step/s] Training: 7%|▋ | 6550/100000 [1:19:25<20:03:37, 1.29step/s] Training: 7%|▋ | 6551/100000 [1:19:26<18:49:27, 1.38step/s] Training: 7%|▋ | 6552/100000 [1:19:26<18:56:29, 1.37step/s] Training: 7%|▋ | 6553/100000 [1:19:27<19:07:01, 1.36step/s] Training: 7%|▋ | 6554/100000 [1:19:28<19:12:48, 1.35step/s] Training: 7%|▋ | 6555/100000 [1:19:29<19:02:26, 1.36step/s] Training: 7%|▋ | 6556/100000 [1:19:29<19:34:08, 1.33step/s] Training: 7%|▋ | 6557/100000 [1:19:30<20:08:27, 1.29step/s] Training: 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1.36step/s] Training: 7%|▋ | 6575/100000 [1:19:43<18:14:34, 1.42step/s] Training: 7%|▋ | 6576/100000 [1:19:44<17:28:55, 1.48step/s] Training: 7%|▋ | 6577/100000 [1:19:45<18:28:32, 1.40step/s] Training: 7%|▋ | 6578/100000 [1:19:46<18:58:27, 1.37step/s] Training: 7%|▋ | 6579/100000 [1:19:46<19:07:56, 1.36step/s] Training: 7%|▋ | 6580/100000 [1:19:47<19:26:00, 1.34step/s] Training: 7%|▋ | 6581/100000 [1:19:48<19:02:53, 1.36step/s] Training: 7%|▋ | 6582/100000 [1:19:49<19:09:20, 1.35step/s] Training: 7%|▋ | 6583/100000 [1:19:49<18:16:07, 1.42step/s] Training: 7%|▋ | 6584/100000 [1:19:50<17:52:07, 1.45step/s] Training: 7%|▋ | 6585/100000 [1:19:51<19:05:28, 1.36step/s] Training: 7%|▋ | 6586/100000 [1:19:51<18:46:00, 1.38step/s] Training: 7%|▋ | 6587/100000 [1:19:52<18:51:25, 1.38step/s] Training: 7%|▋ | 6588/100000 [1:19:53<19:24:19, 1.34step/s] Training: 7%|▋ | 6589/100000 [1:19:54<19:32:04, 1.33step/s] Training: 7%|▋ | 6590/100000 [1:19:54<19:39:41, 1.32step/s] Training: 7%|▋ | 6591/100000 [1:19:55<18:28:11, 1.40step/s] Training: 7%|▋ | 6592/100000 [1:19:56<17:45:35, 1.46step/s] Training: 7%|▋ | 6593/100000 [1:19:56<17:52:06, 1.45step/s] Training: 7%|▋ | 6594/100000 [1:19:57<19:03:41, 1.36step/s] Training: 7%|▋ | 6595/100000 [1:19:58<18:57:13, 1.37step/s] Training: 7%|▋ | 6596/100000 [1:19:59<18:52:02, 1.38step/s] Training: 7%|▋ | 6597/100000 [1:19:59<19:06:49, 1.36step/s] Training: 7%|▋ | 6598/100000 [1:20:00<18:55:12, 1.37step/s] Training: 7%|▋ | 6599/100000 [1:20:01<18:05:40, 1.43step/s] Training: 7%|▋ | 6600/100000 [1:20:01<17:30:11, 1.48step/s]INFO 2026-03-12 04:42:17 ot_train.py:435 step:7K smpl:422K ep:1K epch:5.59 loss:0.420 grdn:11.983 lr:2.0e-05 updt_s:0.715 data_s:0.013 Training: 7%|▋ | 6601/100000 [1:20:02<18:27:25, 1.41step/s] Training: 7%|▋ | 6602/100000 [1:20:03<18:48:32, 1.38step/s] Training: 7%|▋ | 6603/100000 [1:20:04<19:14:56, 1.35step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=75235 Training: 7%|▋ | 6604/100000 [1:20:04<19:21:23, 1.34step/s] Training: 7%|▋ | 6605/100000 [1:20:05<19:28:40, 1.33step/s] Training: 7%|▋ | 6606/100000 [1:20:06<19:23:37, 1.34step/s] Training: 7%|▋ | 6607/100000 [1:20:07<18:31:06, 1.40step/s] Training: 7%|▋ | 6608/100000 [1:20:07<17:49:33, 1.46step/s] Training: 7%|▋ | 6609/100000 [1:20:08<18:22:47, 1.41step/s] Training: 7%|▋ | 6610/100000 [1:20:09<19:12:19, 1.35step/s] Training: 7%|▋ | 6611/100000 [1:20:10<19:32:11, 1.33step/s] Training: 7%|▋ | 6612/100000 [1:20:10<19:51:39, 1.31step/s] Training: 7%|▋ | 6613/100000 [1:20:11<19:42:28, 1.32step/s] Training: 7%|▋ | 6614/100000 [1:20:12<19:36:12, 1.32step/s] Training: 7%|▋ | 6615/100000 [1:20:12<18:36:04, 1.39step/s] Training: 7%|▋ | 6616/100000 [1:20:13<17:56:49, 1.45step/s] Training: 7%|▋ | 6617/100000 [1:20:14<18:36:47, 1.39step/s] Training: 7%|▋ | 6618/100000 [1:20:15<19:08:21, 1.36step/s] Training: 7%|▋ | 6619/100000 [1:20:15<18:58:07, 1.37step/s] Training: 7%|▋ | 6620/100000 [1:20:16<18:58:13, 1.37step/s] Training: 7%|▋ | 6621/100000 [1:20:17<18:21:35, 1.41step/s] Training: 7%|▋ | 6622/100000 [1:20:18<18:55:48, 1.37step/s] Training: 7%|▋ | 6623/100000 [1:20:18<18:07:51, 1.43step/s] Training: 7%|▋ | 6624/100000 [1:20:19<17:32:34, 1.48step/s] Training: 7%|▋ | 6625/100000 [1:20:19<17:50:55, 1.45step/s] Training: 7%|▋ | 6626/100000 [1:20:20<18:03:46, 1.44step/s] Training: 7%|▋ | 6627/100000 [1:20:21<18:31:24, 1.40step/s] Training: 7%|▋ | 6628/100000 [1:20:22<18:40:12, 1.39step/s] Training: 7%|▋ | 6629/100000 [1:20:22<18:56:45, 1.37step/s] Training: 7%|▋ | 6630/100000 [1:20:23<18:45:21, 1.38step/s] Training: 7%|▋ | 6631/100000 [1:20:24<18:04:10, 1.44step/s] Training: 7%|▋ | 6632/100000 [1:20:24<17:29:48, 1.48step/s] Training: 7%|▋ | 6633/100000 [1:20:25<18:13:16, 1.42step/s] Training: 7%|▋ | 6634/100000 [1:20:26<18:40:49, 1.39step/s] Training: 7%|▋ | 6635/100000 [1:20:27<19:09:52, 1.35step/s] Training: 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1.34step/s] Training: 7%|▋ | 6653/100000 [1:20:40<18:33:15, 1.40step/s] Training: 7%|▋ | 6654/100000 [1:20:41<18:45:15, 1.38step/s] Training: 7%|▋ | 6655/100000 [1:20:41<18:00:50, 1.44step/s] Training: 7%|▋ | 6656/100000 [1:20:42<17:28:11, 1.48step/s] Training: 7%|▋ | 6657/100000 [1:20:43<18:11:28, 1.43step/s] Training: 7%|▋ | 6658/100000 [1:20:43<17:43:02, 1.46step/s] Training: 7%|▋ | 6659/100000 [1:20:44<18:53:26, 1.37step/s] Training: 7%|▋ | 6660/100000 [1:20:45<18:50:17, 1.38step/s] Training: 7%|▋ | 6661/100000 [1:20:46<19:08:52, 1.35step/s] Training: 7%|▋ | 6662/100000 [1:20:46<19:08:12, 1.35step/s] Training: 7%|▋ | 6663/100000 [1:20:47<18:15:36, 1.42step/s] Training: 7%|▋ | 6664/100000 [1:20:47<17:29:27, 1.48step/s] Training: 7%|▋ | 6665/100000 [1:20:48<18:01:34, 1.44step/s] Training: 7%|▋ | 6666/100000 [1:20:49<18:28:40, 1.40step/s] Training: 7%|▋ | 6667/100000 [1:20:50<19:03:02, 1.36step/s] Training: 7%|▋ | 6668/100000 [1:20:51<19:21:03, 1.34step/s] Training: 7%|▋ | 6669/100000 [1:20:51<19:37:29, 1.32step/s] Training: 7%|▋ | 6670/100000 [1:20:52<19:36:18, 1.32step/s] Training: 7%|▋ | 6671/100000 [1:20:53<18:40:52, 1.39step/s] Training: 7%|▋ | 6672/100000 [1:20:53<18:14:14, 1.42step/s] Training: 7%|▋ | 6673/100000 [1:20:54<18:43:14, 1.38step/s] Training: 7%|▋ | 6674/100000 [1:20:55<19:15:22, 1.35step/s] Training: 7%|▋ | 6675/100000 [1:20:56<19:41:11, 1.32step/s] Training: 7%|▋ | 6676/100000 [1:20:56<19:47:16, 1.31step/s] Training: 7%|▋ | 6677/100000 [1:20:57<19:37:52, 1.32step/s] Training: 7%|▋ | 6678/100000 [1:20:58<20:02:27, 1.29step/s] Training: 7%|▋ | 6679/100000 [1:20:59<18:55:00, 1.37step/s] Training: 7%|▋ | 6680/100000 [1:20:59<17:59:47, 1.44step/s] Training: 7%|▋ | 6681/100000 [1:21:00<18:33:29, 1.40step/s] Training: 7%|▋ | 6682/100000 [1:21:01<18:43:10, 1.38step/s] Training: 7%|▋ | 6683/100000 [1:21:02<18:40:57, 1.39step/s] Training: 7%|▋ | 6684/100000 [1:21:02<19:06:06, 1.36step/s] Training: 7%|▋ | 6685/100000 [1:21:03<18:12:27, 1.42step/s] Training: 7%|▋ | 6686/100000 [1:21:04<18:49:47, 1.38step/s] Training: 7%|▋ | 6687/100000 [1:21:04<18:04:18, 1.43step/s] Training: 7%|▋ | 6688/100000 [1:21:05<17:34:09, 1.48step/s] Training: 7%|▋ | 6689/100000 [1:21:06<17:58:41, 1.44step/s] Training: 7%|▋ | 6690/100000 [1:21:06<17:26:05, 1.49step/s] Training: 7%|▋ | 6691/100000 [1:21:07<19:13:55, 1.35step/s] Training: 7%|▋ | 6692/100000 [1:21:08<19:23:43, 1.34step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=57676 Training: 7%|▋ | 6693/100000 [1:21:09<19:29:18, 1.33step/s] Training: 7%|▋ | 6694/100000 [1:21:09<19:08:45, 1.35step/s] Training: 7%|▋ | 6695/100000 [1:21:10<18:06:26, 1.43step/s] Training: 7%|▋ | 6696/100000 [1:21:11<17:20:07, 1.50step/s] Training: 7%|▋ | 6697/100000 [1:21:11<17:57:49, 1.44step/s] Training: 7%|▋ | 6698/100000 [1:21:12<18:25:17, 1.41step/s] Training: 7%|▋ | 6699/100000 [1:21:13<18:57:10, 1.37step/s] Training: 7%|▋ | 6700/100000 [1:21:14<19:14:25, 1.35step/s]INFO 2026-03-12 04:43:30 ot_train.py:435 step:7K smpl:429K ep:1K epch:5.68 loss:0.422 grdn:12.275 lr:2.0e-05 updt_s:0.709 data_s:0.013 Training: 7%|▋ | 6701/100000 [1:21:14<19:27:30, 1.33step/s] Training: 7%|▋ | 6702/100000 [1:21:15<19:04:54, 1.36step/s] Training: 7%|▋ | 6703/100000 [1:21:16<18:17:39, 1.42step/s] Training: 7%|▋ | 6704/100000 [1:21:16<17:42:33, 1.46step/s] Training: 7%|▋ | 6705/100000 [1:21:17<18:40:37, 1.39step/s] Training: 7%|▋ | 6706/100000 [1:21:18<19:01:31, 1.36step/s] Training: 7%|▋ | 6707/100000 [1:21:19<19:21:10, 1.34step/s] Training: 7%|▋ | 6708/100000 [1:21:20<19:30:00, 1.33step/s] Training: 7%|▋ | 6709/100000 [1:21:20<19:41:24, 1.32step/s] Training: 7%|▋ | 6710/100000 [1:21:21<19:36:14, 1.32step/s] Training: 7%|▋ | 6711/100000 [1:21:22<18:38:56, 1.39step/s] Training: 7%|▋ | 6712/100000 [1:21:22<18:03:50, 1.43step/s] Training: 7%|▋ | 6713/100000 [1:21:23<18:30:02, 1.40step/s] Training: 7%|▋ | 6714/100000 [1:21:24<18:34:38, 1.39step/s] Training: 7%|▋ | 6715/100000 [1:21:25<19:04:17, 1.36step/s] Training: 7%|▋ | 6716/100000 [1:21:25<19:16:42, 1.34step/s] Training: 7%|▋ | 6717/100000 [1:21:26<19:33:24, 1.32step/s] Training: 7%|▋ | 6718/100000 [1:21:27<19:27:59, 1.33step/s] Training: 7%|▋ | 6719/100000 [1:21:28<18:30:45, 1.40step/s] Training: 7%|▋ | 6720/100000 [1:21:28<17:48:37, 1.45step/s] Training: 7%|▋ | 6721/100000 [1:21:29<18:06:33, 1.43step/s] Training: 7%|▋ | 6722/100000 [1:21:29<17:23:12, 1.49step/s] Training: 7%|▋ | 6723/100000 [1:21:30<19:06:20, 1.36step/s] Training: 7%|▋ | 6724/100000 [1:21:31<19:09:35, 1.35step/s] Training: 7%|▋ | 6725/100000 [1:21:32<19:22:25, 1.34step/s] Training: 7%|▋ | 6726/100000 [1:21:33<19:00:24, 1.36step/s] Training: 7%|▋ | 6727/100000 [1:21:33<18:10:56, 1.42step/s] Training: 7%|▋ | 6728/100000 [1:21:34<17:39:07, 1.47step/s] Training: 7%|▋ | 6729/100000 [1:21:35<18:08:32, 1.43step/s] Training: 7%|▋ | 6730/100000 [1:21:35<18:43:48, 1.38step/s] Training: 7%|▋ | 6731/100000 [1:21:36<19:01:52, 1.36step/s] Training: 7%|▋ | 6732/100000 [1:21:37<19:11:27, 1.35step/s] Training: 7%|▋ | 6733/100000 [1:21:38<19:15:27, 1.35step/s] Training: 7%|▋ | 6734/100000 [1:21:38<19:07:05, 1.36step/s] Training: 7%|▋ | 6735/100000 [1:21:39<18:24:48, 1.41step/s] Training: 7%|▋ | 6736/100000 [1:21:40<17:50:40, 1.45step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=42830 Training: 7%|▋ | 6737/100000 [1:21:40<18:51:51, 1.37step/s] Training: 7%|▋ | 6738/100000 [1:21:41<19:11:06, 1.35step/s] Training: 7%|▋ | 6739/100000 [1:21:42<19:34:38, 1.32step/s] Training: 7%|▋ | 6740/100000 [1:21:43<19:43:23, 1.31step/s] Training: 7%|▋ | 6741/100000 [1:21:44<19:39:18, 1.32step/s] Training: 7%|▋ | 6742/100000 [1:21:44<20:10:47, 1.28step/s] Training: 7%|▋ | 6743/100000 [1:21:45<18:49:53, 1.38step/s] Training: 7%|▋ | 6744/100000 [1:21:46<17:51:38, 1.45step/s] Training: 7%|▋ | 6745/100000 [1:21:46<18:23:23, 1.41step/s] Training: 7%|▋ | 6746/100000 [1:21:47<18:38:35, 1.39step/s] Training: 7%|▋ | 6747/100000 [1:21:48<18:38:21, 1.39step/s] Training: 7%|▋ | 6748/100000 [1:21:49<18:36:38, 1.39step/s] Training: 7%|▋ | 6749/100000 [1:21:49<17:58:55, 1.44step/s] Training: 7%|▋ | 6750/100000 [1:21:50<18:22:42, 1.41step/s] Training: 7%|▋ | 6751/100000 [1:21:51<17:41:47, 1.46step/s] Training: 7%|▋ | 6752/100000 [1:21:51<17:15:32, 1.50step/s] Training: 7%|▋ | 6753/100000 [1:21:52<17:21:13, 1.49step/s] Training: 7%|▋ | 6754/100000 [1:21:52<17:01:37, 1.52step/s] Training: 7%|▋ | 6755/100000 [1:21:53<18:30:23, 1.40step/s] Training: 7%|▋ | 6756/100000 [1:21:54<18:50:52, 1.37step/s] Training: 7%|▋ | 6757/100000 [1:21:55<19:05:59, 1.36step/s] Training: 7%|▋ | 6758/100000 [1:21:56<18:51:50, 1.37step/s] Training: 7%|▋ | 6759/100000 [1:21:56<19:16:16, 1.34step/s] Training: 7%|▋ | 6760/100000 [1:21:57<18:19:21, 1.41step/s] Training: 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1.37step/s] Training: 7%|▋ | 6778/100000 [1:22:10<18:41:42, 1.39step/s] Training: 7%|▋ | 6779/100000 [1:22:11<18:41:37, 1.39step/s] Training: 7%|▋ | 6780/100000 [1:22:12<18:58:18, 1.36step/s] Training: 7%|▋ | 6781/100000 [1:22:12<18:08:45, 1.43step/s] Training: 7%|▋ | 6782/100000 [1:22:13<18:42:11, 1.38step/s] Training: 7%|▋ | 6783/100000 [1:22:14<19:06:57, 1.35step/s] Training: 7%|▋ | 6784/100000 [1:22:14<18:03:06, 1.43step/s] Training: 7%|▋ | 6785/100000 [1:22:15<18:51:57, 1.37step/s] Training: 7%|▋ | 6786/100000 [1:22:16<18:02:55, 1.43step/s] Training: 7%|▋ | 6787/100000 [1:22:17<19:27:35, 1.33step/s] Training: 7%|▋ | 6788/100000 [1:22:17<19:14:43, 1.35step/s] Training: 7%|▋ | 6789/100000 [1:22:18<19:41:26, 1.31step/s] Training: 7%|▋ | 6790/100000 [1:22:19<19:44:18, 1.31step/s] Training: 7%|▋ | 6791/100000 [1:22:20<19:24:30, 1.33step/s] Training: 7%|▋ | 6792/100000 [1:22:20<18:26:26, 1.40step/s] Training: 7%|▋ | 6793/100000 [1:22:21<18:59:06, 1.36step/s] Training: 7%|▋ | 6794/100000 [1:22:22<19:19:04, 1.34step/s] Training: 7%|▋ | 6795/100000 [1:22:23<19:37:16, 1.32step/s] Training: 7%|▋ | 6796/100000 [1:22:23<19:42:35, 1.31step/s] Training: 7%|▋ | 6797/100000 [1:22:24<19:33:38, 1.32step/s] Training: 7%|▋ | 6798/100000 [1:22:25<19:22:20, 1.34step/s] Training: 7%|▋ | 6799/100000 [1:22:26<19:13:48, 1.35step/s] Training: 7%|▋ | 6800/100000 [1:22:26<18:20:45, 1.41step/s]INFO 2026-03-12 04:44:42 ot_train.py:435 step:7K smpl:435K ep:1K epch:5.76 loss:0.439 grdn:12.254 lr:2.0e-05 updt_s:0.712 data_s:0.012 Training: 7%|▋ | 6801/100000 [1:22:27<18:56:03, 1.37step/s] Training: 7%|▋ | 6802/100000 [1:22:28<19:14:03, 1.35step/s] Training: 7%|▋ | 6803/100000 [1:22:29<19:23:10, 1.34step/s] Training: 7%|▋ | 6804/100000 [1:22:29<19:42:17, 1.31step/s] Training: 7%|▋ | 6805/100000 [1:22:30<19:38:00, 1.32step/s] Training: 7%|▋ | 6806/100000 [1:22:31<19:25:47, 1.33step/s] Training: 7%|▋ | 6807/100000 [1:22:32<19:18:07, 1.34step/s] Training: 7%|▋ | 6808/100000 [1:22:32<18:21:10, 1.41step/s] Training: 7%|▋ | 6809/100000 [1:22:33<18:49:27, 1.38step/s] Training: 7%|▋ | 6810/100000 [1:22:34<18:02:33, 1.43step/s] Training: 7%|▋ | 6811/100000 [1:22:34<18:58:49, 1.36step/s] Training: 7%|▋ | 6812/100000 [1:22:35<19:10:41, 1.35step/s] Training: 7%|▋ | 6813/100000 [1:22:36<18:21:47, 1.41step/s] Training: 7%|▋ | 6814/100000 [1:22:37<18:45:17, 1.38step/s] Training: 7%|▋ | 6815/100000 [1:22:37<18:04:25, 1.43step/s] Training: 7%|▋ | 6816/100000 [1:22:38<19:08:26, 1.35step/s] Training: 7%|▋ | 6817/100000 [1:22:39<18:53:56, 1.37step/s] Training: 7%|▋ | 6818/100000 [1:22:40<18:34:16, 1.39step/s] Training: 7%|▋ | 6819/100000 [1:22:40<18:45:15, 1.38step/s] Training: 7%|▋ | 6820/100000 [1:22:41<18:37:40, 1.39step/s] Training: 7%|▋ | 6821/100000 [1:22:42<19:13:48, 1.35step/s] Training: 7%|▋ | 6822/100000 [1:22:42<18:57:51, 1.36step/s] Training: 7%|▋ | 6823/100000 [1:22:43<18:06:46, 1.43step/s] Training: 7%|▋ | 6824/100000 [1:22:44<18:25:38, 1.40step/s] Training: 7%|▋ | 6825/100000 [1:22:45<18:55:54, 1.37step/s] Training: 7%|▋ | 6826/100000 [1:22:45<19:10:21, 1.35step/s] Training: 7%|▋ | 6827/100000 [1:22:46<18:08:31, 1.43step/s] Training: 7%|▋ | 6828/100000 [1:22:47<19:37:59, 1.32step/s] Training: 7%|▋ | 6829/100000 [1:22:48<19:08:18, 1.35step/s] Training: 7%|▋ | 6830/100000 [1:22:48<19:03:31, 1.36step/s] Training: 7%|▋ | 6831/100000 [1:22:49<18:11:34, 1.42step/s] Training: 7%|▋ | 6832/100000 [1:22:50<17:26:12, 1.48step/s] Training: 7%|▋ | 6833/100000 [1:22:50<18:28:45, 1.40step/s] Training: 7%|▋ | 6834/100000 [1:22:51<19:04:35, 1.36step/s] Training: 7%|▋ | 6835/100000 [1:22:52<19:15:27, 1.34step/s] Training: 7%|▋ | 6836/100000 [1:22:53<19:14:33, 1.34step/s] Training: 7%|▋ | 6837/100000 [1:22:53<19:01:05, 1.36step/s] Training: 7%|▋ | 6838/100000 [1:22:54<18:12:37, 1.42step/s] Training: 7%|▋ | 6839/100000 [1:22:55<18:44:48, 1.38step/s] Training: 7%|▋ | 6840/100000 [1:22:56<19:10:28, 1.35step/s] Training: 7%|▋ | 6841/100000 [1:22:56<18:51:30, 1.37step/s] Training: 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1.34step/s] Training: 7%|▋ | 6859/100000 [1:23:09<18:15:33, 1.42step/s] Training: 7%|▋ | 6860/100000 [1:23:10<19:54:36, 1.30step/s] Training: 7%|▋ | 6861/100000 [1:23:11<19:40:13, 1.32step/s] Training: 7%|▋ | 6862/100000 [1:23:12<19:27:43, 1.33step/s] Training: 7%|▋ | 6863/100000 [1:23:12<18:31:29, 1.40step/s] Training: 7%|▋ | 6864/100000 [1:23:13<17:58:01, 1.44step/s] Training: 7%|▋ | 6865/100000 [1:23:14<18:16:23, 1.42step/s] Training: 7%|▋ | 6866/100000 [1:23:14<18:40:46, 1.38step/s] Training: 7%|▋ | 6867/100000 [1:23:15<19:12:42, 1.35step/s] Training: 7%|▋ | 6868/100000 [1:23:16<19:23:27, 1.33step/s] Training: 7%|▋ | 6869/100000 [1:23:17<19:04:47, 1.36step/s] Training: 7%|▋ | 6870/100000 [1:23:17<18:12:23, 1.42step/s] Training: 7%|▋ | 6871/100000 [1:23:18<18:31:27, 1.40step/s] Training: 7%|▋ | 6872/100000 [1:23:19<17:39:23, 1.47step/s] Training: 7%|▋ | 6873/100000 [1:23:19<18:05:29, 1.43step/s] Training: 7%|▋ | 6874/100000 [1:23:20<18:22:13, 1.41step/s] Training: 7%|▋ | 6875/100000 [1:23:21<18:54:18, 1.37step/s] Training: 7%|▋ | 6876/100000 [1:23:22<18:50:03, 1.37step/s] Training: 7%|▋ | 6877/100000 [1:23:22<17:55:42, 1.44step/s] Training: 7%|▋ | 6878/100000 [1:23:23<18:26:09, 1.40step/s] Training: 7%|▋ | 6879/100000 [1:23:23<17:38:02, 1.47step/s] Training: 7%|▋ | 6880/100000 [1:23:24<17:01:48, 1.52step/s] Training: 7%|▋ | 6881/100000 [1:23:25<17:30:23, 1.48step/s] Training: 7%|▋ | 6882/100000 [1:23:26<17:41:57, 1.46step/s] Training: 7%|▋ | 6883/100000 [1:23:26<18:01:42, 1.43step/s] Training: 7%|▋ | 6884/100000 [1:23:27<18:21:46, 1.41step/s] Training: 7%|▋ | 6885/100000 [1:23:28<18:45:37, 1.38step/s] Training: 7%|▋ | 6886/100000 [1:23:28<18:50:20, 1.37step/s] Training: 7%|▋ | 6887/100000 [1:23:29<18:01:36, 1.43step/s] Training: 7%|▋ | 6888/100000 [1:23:30<17:27:16, 1.48step/s] Training: 7%|▋ | 6889/100000 [1:23:30<18:09:25, 1.42step/s] Training: 7%|▋ | 6890/100000 [1:23:31<19:11:25, 1.35step/s] Training: 7%|▋ | 6891/100000 [1:23:32<18:15:35, 1.42step/s] Training: 7%|▋ | 6892/100000 [1:23:33<18:50:32, 1.37step/s] Training: 7%|▋ | 6893/100000 [1:23:34<19:29:30, 1.33step/s] Training: 7%|▋ | 6894/100000 [1:23:34<19:17:40, 1.34step/s] Training: 7%|▋ | 6895/100000 [1:23:35<18:21:56, 1.41step/s] Training: 7%|▋ | 6896/100000 [1:23:36<17:37:06, 1.47step/s] Training: 7%|▋ | 6897/100000 [1:23:36<18:14:05, 1.42step/s] Training: 7%|▋ | 6898/100000 [1:23:37<18:51:54, 1.37step/s] Training: 7%|▋ | 6899/100000 [1:23:38<19:17:26, 1.34step/s] Training: 7%|▋ | 6900/100000 [1:23:39<19:31:21, 1.32step/s]INFO 2026-03-12 04:45:55 ot_train.py:435 step:7K smpl:442K ep:2K epch:5.85 loss:0.435 grdn:12.286 lr:2.0e-05 updt_s:0.708 data_s:0.013 Training: 7%|▋ | 6901/100000 [1:23:39<19:33:37, 1.32step/s] Training: 7%|▋ | 6902/100000 [1:23:40<18:25:51, 1.40step/s] Training: 7%|▋ | 6903/100000 [1:23:41<18:55:00, 1.37step/s] Training: 7%|▋ | 6904/100000 [1:23:41<18:05:33, 1.43step/s] Training: 7%|▋ | 6905/100000 [1:23:42<18:42:34, 1.38step/s] Training: 7%|▋ | 6906/100000 [1:23:43<19:17:25, 1.34step/s] Training: 7%|▋ | 6907/100000 [1:23:44<19:14:41, 1.34step/s] Training: 7%|▋ | 6908/100000 [1:23:44<19:26:41, 1.33step/s] Training: 7%|▋ | 6909/100000 [1:23:45<19:23:36, 1.33step/s] Training: 7%|▋ | 6910/100000 [1:23:46<19:25:29, 1.33step/s] Training: 7%|▋ | 6911/100000 [1:23:47<18:37:34, 1.39step/s] Training: 7%|▋ | 6912/100000 [1:23:47<17:57:14, 1.44step/s] Training: 7%|▋ | 6913/100000 [1:23:48<18:19:24, 1.41step/s] Training: 7%|▋ | 6914/100000 [1:23:49<19:12:22, 1.35step/s] Training: 7%|▋ | 6915/100000 [1:23:50<19:21:57, 1.34step/s] Training: 7%|▋ | 6916/100000 [1:23:50<19:14:48, 1.34step/s] Training: 7%|▋ | 6917/100000 [1:23:51<19:37:21, 1.32step/s] Training: 7%|▋ | 6918/100000 [1:23:52<19:53:59, 1.30step/s] Training: 7%|▋ | 6919/100000 [1:23:53<18:55:03, 1.37step/s] Training: 7%|▋ | 6920/100000 [1:23:53<18:17:48, 1.41step/s] Training: 7%|▋ | 6921/100000 [1:23:54<18:42:39, 1.38step/s] Training: 7%|▋ | 6922/100000 [1:23:55<19:21:21, 1.34step/s] Training: 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1.33step/s] Training: 7%|▋ | 6990/100000 [1:24:45<19:41:44, 1.31step/s] Training: 7%|▋ | 6991/100000 [1:24:45<18:37:59, 1.39step/s] Training: 7%|▋ | 6992/100000 [1:24:46<17:54:47, 1.44step/s] Training: 7%|▋ | 6993/100000 [1:24:47<18:17:01, 1.41step/s] Training: 7%|▋ | 6994/100000 [1:24:47<18:47:52, 1.37step/s] Training: 7%|▋ | 6995/100000 [1:24:48<19:08:55, 1.35step/s] Training: 7%|▋ | 6996/100000 [1:24:49<19:34:21, 1.32step/s] Training: 7%|▋ | 6997/100000 [1:24:50<19:45:35, 1.31step/s] Training: 7%|▋ | 6998/100000 [1:24:50<19:32:58, 1.32step/s] Training: 7%|▋ | 6999/100000 [1:24:51<18:22:43, 1.41step/s] Training: 7%|▋ | 7000/100000 [1:24:52<17:41:12, 1.46step/s]INFO 2026-03-12 04:47:08 ot_train.py:435 step:7K smpl:448K ep:2K epch:5.93 loss:0.447 grdn:12.634 lr:2.0e-05 updt_s:0.716 data_s:0.012 Training: 7%|▋ | 7001/100000 [1:24:52<17:55:12, 1.44step/s] Training: 7%|▋ | 7002/100000 [1:24:53<18:33:24, 1.39step/s] Training: 7%|▋ | 7003/100000 [1:24:54<18:56:21, 1.36step/s] Training: 7%|▋ | 7004/100000 [1:24:55<19:05:58, 1.35step/s] Training: 7%|▋ | 7005/100000 [1:24:55<19:31:39, 1.32step/s] Training: 7%|▋ | 7006/100000 [1:24:56<19:33:07, 1.32step/s] Training: 7%|▋ | 7007/100000 [1:24:57<18:32:51, 1.39step/s] Training: 7%|▋ | 7008/100000 [1:24:57<17:53:07, 1.44step/s] Training: 7%|▋ | 7009/100000 [1:24:58<18:08:23, 1.42step/s] Training: 7%|▋ | 7010/100000 [1:24:59<18:35:31, 1.39step/s] Training: 7%|▋ | 7011/100000 [1:25:00<19:04:56, 1.35step/s] Training: 7%|▋ | 7012/100000 [1:25:00<18:53:02, 1.37step/s] Training: 7%|▋ | 7013/100000 [1:25:01<19:10:01, 1.35step/s] Training: 7%|▋ | 7014/100000 [1:25:02<19:24:05, 1.33step/s] Training: 7%|▋ | 7015/100000 [1:25:03<18:26:51, 1.40step/s] Training: 7%|▋ | 7016/100000 [1:25:03<17:47:17, 1.45step/s] Training: 7%|▋ | 7017/100000 [1:25:04<17:08:32, 1.51step/s] Training: 7%|▋ | 7018/100000 [1:25:05<18:05:21, 1.43step/s] Training: 7%|▋ | 7019/100000 [1:25:05<18:12:05, 1.42step/s] Training: 7%|▋ | 7020/100000 [1:25:06<17:38:46, 1.46step/s] Training: 7%|▋ | 7021/100000 [1:25:07<19:13:39, 1.34step/s] Training: 7%|▋ | 7022/100000 [1:25:08<19:10:13, 1.35step/s] Training: 7%|▋ | 7023/100000 [1:25:08<18:06:10, 1.43step/s] Training: 7%|▋ | 7024/100000 [1:25:09<17:29:41, 1.48step/s] Training: 7%|▋ | 7025/100000 [1:25:10<18:11:02, 1.42step/s] Training: 7%|▋ | 7026/100000 [1:25:10<19:05:38, 1.35step/s] Training: 7%|▋ | 7027/100000 [1:25:11<19:14:21, 1.34step/s] Training: 7%|▋ | 7028/100000 [1:25:12<19:28:17, 1.33step/s] Training: 7%|▋ | 7029/100000 [1:25:13<19:41:57, 1.31step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=65902 Training: 7%|▋ | 7030/100000 [1:25:13<19:25:54, 1.33step/s] Training: 7%|▋ | 7031/100000 [1:25:14<18:20:03, 1.41step/s] Training: 7%|▋ | 7032/100000 [1:25:15<17:47:19, 1.45step/s] Training: 7%|▋ | 7033/100000 [1:25:16<18:38:59, 1.38step/s] Training: 7%|▋ | 7034/100000 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current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 7%|▋ | 7081/100000 [1:25:55<54:56:43, 2.13s/step] Training: 7%|▋ | 7082/100000 [1:25:56<43:19:34, 1.68s/step] Training: 7%|▋ | 7083/100000 [1:25:56<36:48:04, 1.43s/step] Training: 7%|▋ | 7084/100000 [1:25:57<31:34:38, 1.22s/step] Training: 7%|▋ | 7085/100000 [1:25:58<28:06:11, 1.09s/step] Training: 7%|▋ | 7086/100000 [1:25:59<26:04:11, 1.01s/step] Training: 7%|▋ | 7087/100000 [1:25:59<22:59:30, 1.12step/s] Training: 7%|▋ | 7088/100000 [1:26:00<22:27:45, 1.15step/s] Training: 7%|▋ | 7089/100000 [1:26:01<21:45:05, 1.19step/s] Training: 7%|▋ | 7090/100000 [1:26:02<20:03:46, 1.29step/s] Training: 7%|▋ | 7091/100000 [1:26:02<20:19:17, 1.27step/s] Training: 7%|▋ | 7092/100000 [1:26:03<19:36:11, 1.32step/s] Training: 7%|▋ | 7093/100000 [1:26:04<19:24:39, 1.33step/s] Training: 7%|▋ | 7094/100000 [1:26:05<19:12:40, 1.34step/s] Training: 7%|▋ | 7095/100000 [1:26:05<18:17:48, 1.41step/s] Training: 7%|▋ | 7096/100000 [1:26:06<18:37:23, 1.39step/s] Training: 7%|▋ | 7097/100000 [1:26:07<19:17:11, 1.34step/s] Training: 7%|▋ | 7098/100000 [1:26:07<18:36:35, 1.39step/s] Training: 7%|▋ | 7099/100000 [1:26:08<19:18:54, 1.34step/s] Training: 7%|▋ | 7100/100000 [1:26:09<19:11:15, 1.34step/s]INFO 2026-03-12 04:48:25 ot_train.py:435 step:7K smpl:454K ep:2K epch:6.02 loss:0.414 grdn:12.332 lr:2.0e-05 updt_s:0.711 data_s:0.061 Training: 7%|▋ | 7101/100000 [1:26:10<19:42:03, 1.31step/s] Training: 7%|▋ | 7102/100000 [1:26:11<19:45:44, 1.31step/s] Training: 7%|▋ | 7103/100000 [1:26:11<18:41:22, 1.38step/s] Training: 7%|▋ | 7104/100000 [1:26:12<18:44:42, 1.38step/s] Training: 7%|▋ | 7105/100000 [1:26:13<18:38:43, 1.38step/s] Training: 7%|▋ | 7106/100000 [1:26:13<17:57:54, 1.44step/s] Training: 7%|▋ | 7107/100000 [1:26:14<18:29:30, 1.40step/s] Training: 7%|▋ | 7108/100000 [1:26:15<18:31:58, 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[1:27:03<18:03:54, 1.43step/s] Training: 7%|▋ | 7176/100000 [1:27:03<17:32:34, 1.47step/s] Training: 7%|▋ | 7177/100000 [1:27:04<18:02:07, 1.43step/s] Training: 7%|▋ | 7178/100000 [1:27:05<17:35:08, 1.47step/s] Training: 7%|▋ | 7179/100000 [1:27:05<18:39:46, 1.38step/s] Training: 7%|▋ | 7180/100000 [1:27:06<18:54:45, 1.36step/s] Training: 7%|▋ | 7181/100000 [1:27:07<19:21:04, 1.33step/s] Training: 7%|▋ | 7182/100000 [1:27:08<19:04:02, 1.35step/s] Training: 7%|▋ | 7183/100000 [1:27:08<18:14:52, 1.41step/s] Training: 7%|▋ | 7184/100000 [1:27:09<17:39:13, 1.46step/s] Training: 7%|▋ | 7185/100000 [1:27:10<18:17:31, 1.41step/s] Training: 7%|▋ | 7186/100000 [1:27:10<17:40:06, 1.46step/s] Training: 7%|▋ | 7187/100000 [1:27:11<18:23:52, 1.40step/s] Training: 7%|▋ | 7188/100000 [1:27:12<18:39:05, 1.38step/s] Training: 7%|▋ | 7189/100000 [1:27:13<19:01:52, 1.35step/s] Training: 7%|▋ | 7190/100000 [1:27:14<19:38:38, 1.31step/s] Training: 7%|▋ | 7191/100000 [1:27:14<18:28:57, 1.39step/s] Training: 7%|▋ | 7192/100000 [1:27:15<17:48:20, 1.45step/s] Training: 7%|▋ | 7193/100000 [1:27:15<18:02:59, 1.43step/s] Training: 7%|▋ | 7194/100000 [1:27:16<17:22:26, 1.48step/s] Training: 7%|▋ | 7195/100000 [1:27:17<18:22:38, 1.40step/s] Training: 7%|▋ | 7196/100000 [1:27:18<18:33:52, 1.39step/s] Training: 7%|▋ | 7197/100000 [1:27:18<19:01:17, 1.36step/s] Training: 7%|▋ | 7198/100000 [1:27:19<19:24:38, 1.33step/s] Training: 7%|▋ | 7199/100000 [1:27:20<18:26:54, 1.40step/s] Training: 7%|▋ | 7200/100000 [1:27:20<17:49:11, 1.45step/s]INFO 2026-03-12 04:49:36 ot_train.py:435 step:7K smpl:461K ep:2K epch:6.10 loss:0.385 grdn:11.261 lr:2.0e-05 updt_s:0.700 data_s:0.012 Training: 7%|▋ | 7201/100000 [1:27:21<18:10:02, 1.42step/s] Training: 7%|▋ | 7202/100000 [1:27:22<17:40:30, 1.46step/s] Training: 7%|▋ | 7203/100000 [1:27:23<18:41:36, 1.38step/s] Training: 7%|▋ | 7204/100000 [1:27:23<18:31:52, 1.39step/s] Training: 7%|▋ | 7205/100000 [1:27:24<18:40:16, 1.38step/s] Training: 7%|▋ | 7206/100000 [1:27:25<18:29:44, 1.39step/s] Training: 7%|▋ | 7207/100000 [1:27:25<17:37:52, 1.46step/s] Training: 7%|▋ | 7208/100000 [1:27:26<17:00:46, 1.52step/s] Training: 7%|▋ | 7209/100000 [1:27:27<18:01:44, 1.43step/s] Training: 7%|▋ | 7210/100000 [1:27:27<17:25:31, 1.48step/s] Training: 7%|▋ | 7211/100000 [1:27:28<18:18:18, 1.41step/s] Training: 7%|▋ | 7212/100000 [1:27:29<18:40:31, 1.38step/s] Training: 7%|▋ | 7213/100000 [1:27:30<18:58:57, 1.36step/s] Training: 7%|▋ | 7214/100000 [1:27:30<18:45:57, 1.37step/s] Training: 7%|▋ | 7215/100000 [1:27:31<17:56:06, 1.44step/s] Training: 7%|▋ | 7216/100000 [1:27:32<17:23:21, 1.48step/s] Training: 7%|▋ | 7217/100000 [1:27:32<18:01:46, 1.43step/s] Training: 7%|▋ | 7218/100000 [1:27:33<17:27:43, 1.48step/s] Training: 7%|▋ | 7219/100000 [1:27:34<18:09:34, 1.42step/s] Training: 7%|▋ | 7220/100000 [1:27:35<18:47:31, 1.37step/s] Training: 7%|▋ | 7221/100000 [1:27:35<19:01:27, 1.35step/s] Training: 7%|▋ | 7222/100000 [1:27:36<19:03:07, 1.35step/s] Training: 7%|▋ | 7223/100000 [1:27:37<18:10:08, 1.42step/s] Training: 7%|▋ | 7224/100000 [1:27:37<17:31:51, 1.47step/s] Training: 7%|▋ | 7225/100000 [1:27:38<17:45:43, 1.45step/s] Training: 7%|▋ | 7226/100000 [1:27:39<17:15:59, 1.49step/s] Training: 7%|▋ | 7227/100000 [1:27:40<18:13:25, 1.41step/s] Training: 7%|▋ | 7228/100000 [1:27:40<18:36:13, 1.39step/s] Training: 7%|▋ | 7229/100000 [1:27:41<18:59:55, 1.36step/s] Training: 7%|▋ | 7230/100000 [1:27:42<19:02:38, 1.35step/s] Training: 7%|▋ | 7231/100000 [1:27:42<18:12:27, 1.42step/s] Training: 7%|▋ | 7232/100000 [1:27:43<17:29:43, 1.47step/s] Training: 7%|▋ | 7233/100000 [1:27:44<17:43:50, 1.45step/s] Training: 7%|▋ | 7234/100000 [1:27:44<17:14:58, 1.49step/s] Training: 7%|▋ | 7235/100000 [1:27:45<17:59:39, 1.43step/s] Training: 7%|▋ | 7236/100000 [1:27:46<18:36:03, 1.39step/s] Training: 7%|▋ | 7237/100000 [1:27:47<18:54:54, 1.36step/s] Training: 7%|▋ | 7238/100000 [1:27:47<18:40:07, 1.38step/s] Training: 7%|▋ | 7239/100000 [1:27:48<17:53:21, 1.44step/s] Training: 7%|▋ | 7240/100000 [1:27:49<17:21:50, 1.48step/s] Training: 7%|▋ | 7241/100000 [1:27:49<18:06:33, 1.42step/s] Training: 7%|▋ | 7242/100000 [1:27:50<17:30:25, 1.47step/s] Training: 7%|▋ | 7243/100000 [1:27:51<18:22:46, 1.40step/s] Training: 7%|▋ | 7244/100000 [1:27:52<18:43:29, 1.38step/s] Training: 7%|▋ | 7245/100000 [1:27:52<19:12:42, 1.34step/s] Training: 7%|▋ | 7246/100000 [1:27:53<19:12:25, 1.34step/s] Training: 7%|▋ | 7247/100000 [1:27:54<18:20:38, 1.40step/s] Training: 7%|▋ | 7248/100000 [1:27:54<17:45:24, 1.45step/s] Training: 7%|▋ | 7249/100000 [1:27:55<17:21:23, 1.48step/s] Training: 7%|▋ | 7250/100000 [1:27:56<18:00:07, 1.43step/s] Training: 7%|▋ | 7251/100000 [1:27:57<18:37:08, 1.38step/s] Training: 7%|▋ | 7252/100000 [1:27:57<18:59:58, 1.36step/s] Training: 7%|▋ | 7253/100000 [1:27:58<19:46:55, 1.30step/s] Training: 7%|▋ | 7254/100000 [1:27:59<19:45:47, 1.30step/s] Training: 7%|▋ | 7255/100000 [1:28:00<18:29:55, 1.39step/s] Training: 7%|▋ | 7256/100000 [1:28:00<17:38:07, 1.46step/s] Training: 7%|▋ | 7257/100000 [1:28:01<17:14:24, 1.49step/s] Training: 7%|▋ | 7258/100000 [1:28:02<17:54:10, 1.44step/s] Training: 7%|▋ | 7259/100000 [1:28:02<18:03:29, 1.43step/s] Training: 7%|▋ | 7260/100000 [1:28:03<18:38:36, 1.38step/s] Training: 7%|▋ | 7261/100000 [1:28:04<19:13:19, 1.34step/s] Training: 7%|▋ | 7262/100000 [1:28:05<19:23:13, 1.33step/s] Training: 7%|▋ | 7263/100000 [1:28:05<18:32:15, 1.39step/s] Training: 7%|▋ | 7264/100000 [1:28:06<17:47:23, 1.45step/s] Training: 7%|▋ | 7265/100000 [1:28:06<17:16:56, 1.49step/s] Training: 7%|▋ | 7266/100000 [1:28:07<17:44:13, 1.45step/s] Training: 7%|▋ | 7267/100000 [1:28:08<17:46:21, 1.45step/s] Training: 7%|▋ | 7268/100000 [1:28:09<18:21:38, 1.40step/s] Training: 7%|▋ | 7269/100000 [1:28:09<18:47:44, 1.37step/s] Training: 7%|▋ | 7270/100000 [1:28:10<18:35:52, 1.39step/s] Training: 7%|▋ | 7271/100000 [1:28:11<17:51:45, 1.44step/s] Training: 7%|▋ | 7272/100000 [1:28:11<17:19:15, 1.49step/s] Training: 7%|▋ | 7273/100000 [1:28:12<17:03:04, 1.51step/s] Training: 7%|▋ | 7274/100000 [1:28:13<17:42:21, 1.45step/s] Training: 7%|▋ | 7275/100000 [1:28:14<18:21:22, 1.40step/s] Training: 7%|▋ | 7276/100000 [1:28:14<18:28:06, 1.39step/s] Training: 7%|▋ | 7277/100000 [1:28:15<19:09:09, 1.34step/s] Training: 7%|▋ | 7278/100000 [1:28:16<19:11:22, 1.34step/s] Training: 7%|▋ | 7279/100000 [1:28:16<18:07:56, 1.42step/s] Training: 7%|▋ | 7280/100000 [1:28:17<17:32:08, 1.47step/s] Training: 7%|▋ | 7281/100000 [1:28:18<17:08:41, 1.50step/s] Training: 7%|▋ | 7282/100000 [1:28:18<18:00:46, 1.43step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=29153 Training: 7%|▋ | 7283/100000 [1:28:19<18:34:08, 1.39step/s] Training: 7%|▋ | 7284/100000 [1:28:20<19:02:04, 1.35step/s] Training: 7%|▋ | 7285/100000 [1:28:21<19:12:45, 1.34step/s] Training: 7%|▋ | 7286/100000 [1:28:22<19:39:24, 1.31step/s] Training: 7%|▋ | 7287/100000 [1:28:22<18:25:56, 1.40step/s] Training: 7%|▋ | 7288/100000 [1:28:23<17:48:46, 1.45step/s] Training: 7%|▋ | 7289/100000 [1:28:23<17:20:36, 1.48step/s] Training: 7%|▋ | 7290/100000 [1:28:24<17:38:39, 1.46step/s] Training: 7%|▋ | 7291/100000 [1:28:25<17:54:31, 1.44step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=1312 Training: 7%|▋ | 7292/100000 [1:28:26<18:26:05, 1.40step/s] Training: 7%|▋ | 7293/100000 [1:28:26<18:25:36, 1.40step/s] Training: 7%|▋ | 7294/100000 [1:28:27<18:39:21, 1.38step/s] Training: 7%|▋ | 7295/100000 [1:28:28<18:02:02, 1.43step/s] Training: 7%|▋ | 7296/100000 [1:28:28<17:34:12, 1.47step/s] Training: 7%|▋ | 7297/100000 [1:28:29<17:17:46, 1.49step/s] Training: 7%|▋ | 7298/100000 [1:28:30<17:51:20, 1.44step/s] Training: 7%|▋ | 7299/100000 [1:28:30<17:55:58, 1.44step/s] Training: 7%|▋ | 7300/100000 [1:28:31<18:22:13, 1.40step/s]INFO 2026-03-12 04:50:47 ot_train.py:435 step:7K smpl:467K ep:2K epch:6.19 loss:0.377 grdn:11.353 lr:2.0e-05 updt_s:0.693 data_s:0.013 Training: 7%|▋ | 7301/100000 [1:28:32<18:35:07, 1.39step/s] Training: 7%|▋ | 7302/100000 [1:28:33<18:28:50, 1.39step/s] Training: 7%|▋ | 7303/100000 [1:28:34<19:12:44, 1.34step/s] Training: 7%|▋ | 7304/100000 [1:28:34<18:16:27, 1.41step/s] Training: 7%|▋ | 7305/100000 [1:28:35<17:39:03, 1.46step/s] Training: 7%|▋ | 7306/100000 [1:28:36<18:30:41, 1.39step/s] Training: 7%|▋ | 7307/100000 [1:28:36<18:51:04, 1.37step/s] Training: 7%|▋ | 7308/100000 [1:28:37<18:54:29, 1.36step/s] Training: 7%|▋ | 7309/100000 [1:28:38<19:14:57, 1.34step/s] Training: 7%|▋ | 7310/100000 [1:28:39<19:58:05, 1.29step/s] Training: 7%|▋ | 7311/100000 [1:28:39<18:46:12, 1.37step/s] Training: 7%|▋ | 7312/100000 [1:28:40<17:49:04, 1.44step/s] Training: 7%|▋ | 7313/100000 [1:28:41<17:14:42, 1.49step/s] Training: 7%|▋ | 7314/100000 [1:28:41<17:58:41, 1.43step/s] Training: 7%|▋ | 7315/100000 [1:28:42<18:25:21, 1.40step/s] Training: 7%|▋ | 7316/100000 [1:28:43<18:55:18, 1.36step/s] Training: 7%|▋ | 7317/100000 [1:28:44<19:05:41, 1.35step/s] Training: 7%|▋ | 7318/100000 [1:28:44<19:19:21, 1.33step/s] Training: 7%|▋ | 7319/100000 [1:28:45<19:34:47, 1.31step/s] Training: 7%|▋ | 7320/100000 [1:28:46<18:32:10, 1.39step/s] Training: 7%|▋ | 7321/100000 [1:28:46<17:57:07, 1.43step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=69455 Training: 7%|▋ | 7322/100000 [1:28:47<18:34:32, 1.39step/s] Training: 7%|▋ | 7323/100000 [1:28:48<18:55:09, 1.36step/s] Training: 7%|▋ | 7324/100000 [1:28:49<19:33:25, 1.32step/s] Training: 7%|▋ | 7325/100000 [1:28:49<19:19:28, 1.33step/s] Training: 7%|▋ | 7326/100000 [1:28:50<19:39:25, 1.31step/s] Training: 7%|▋ | 7327/100000 [1:28:51<19:54:08, 1.29step/s] Training: 7%|▋ | 7328/100000 [1:28:52<18:43:51, 1.37step/s] Training: 7%|▋ | 7329/100000 [1:28:52<17:59:04, 1.43step/s] Training: 7%|▋ | 7330/100000 [1:28:53<18:44:30, 1.37step/s] Training: 7%|▋ | 7331/100000 [1:28:54<18:35:01, 1.39step/s] Training: 7%|▋ | 7332/100000 [1:28:55<19:02:57, 1.35step/s] Training: 7%|▋ | 7333/100000 [1:28:55<19:27:39, 1.32step/s] Training: 7%|▋ | 7334/100000 [1:28:56<19:42:19, 1.31step/s] Training: 7%|▋ | 7335/100000 [1:28:57<19:32:53, 1.32step/s] Training: 7%|▋ | 7336/100000 [1:28:58<18:28:04, 1.39step/s] Training: 7%|▋ | 7337/100000 [1:28:58<17:47:23, 1.45step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=5927 Training: 7%|▋ | 7338/100000 [1:28:59<18:22:28, 1.40step/s] Training: 7%|▋ | 7339/100000 [1:29:00<18:46:11, 1.37step/s] Training: 7%|▋ | 7340/100000 [1:29:00<18:51:55, 1.36step/s] Training: 7%|▋ | 7341/100000 [1:29:01<19:11:42, 1.34step/s] Training: 7%|▋ | 7342/100000 [1:29:02<18:49:51, 1.37step/s] Training: 7%|▋ | 7343/100000 [1:29:03<18:54:08, 1.36step/s] Training: 7%|▋ | 7344/100000 [1:29:03<18:01:13, 1.43step/s] Training: 7%|▋ | 7345/100000 [1:29:04<17:25:38, 1.48step/s] Training: 7%|▋ | 7346/100000 [1:29:05<18:10:27, 1.42step/s] Training: 7%|▋ | 7347/100000 [1:29:05<18:42:09, 1.38step/s] Training: 7%|▋ | 7348/100000 [1:29:06<19:10:18, 1.34step/s] Training: 7%|▋ | 7349/100000 [1:29:07<19:00:27, 1.35step/s] Training: 7%|▋ | 7350/100000 [1:29:08<18:55:19, 1.36step/s] Training: 7%|▋ | 7351/100000 [1:29:08<18:57:00, 1.36step/s] Training: 7%|▋ | 7352/100000 [1:29:09<18:04:57, 1.42step/s] Training: 7%|▋ | 7353/100000 [1:29:10<17:31:05, 1.47step/s] Training: 7%|▋ | 7354/100000 [1:29:10<17:59:03, 1.43step/s] Training: 7%|▋ | 7355/100000 [1:29:11<18:21:09, 1.40step/s] Training: 7%|▋ | 7356/100000 [1:29:12<18:14:59, 1.41step/s] Training: 7%|▋ | 7357/100000 [1:29:13<18:39:26, 1.38step/s] Training: 7%|▋ | 7358/100000 [1:29:13<18:52:42, 1.36step/s] Training: 7%|▋ | 7359/100000 [1:29:14<17:54:20, 1.44step/s] Training: 7%|▋ | 7360/100000 [1:29:15<18:55:27, 1.36step/s] Training: 7%|▋ | 7361/100000 [1:29:15<17:54:20, 1.44step/s] Training: 7%|▋ | 7362/100000 [1:29:16<18:25:07, 1.40step/s] Training: 7%|▋ | 7363/100000 [1:29:17<18:34:25, 1.39step/s] Training: 7%|▋ | 7364/100000 [1:29:18<18:46:35, 1.37step/s] Training: 7%|▋ | 7365/100000 [1:29:18<19:02:43, 1.35step/s] Training: 7%|▋ | 7366/100000 [1:29:19<18:59:19, 1.36step/s] Training: 7%|▋ | 7367/100000 [1:29:20<18:00:14, 1.43step/s] Training: 7%|▋ | 7368/100000 [1:29:21<18:35:43, 1.38step/s] Training: 7%|▋ | 7369/100000 [1:29:21<17:51:57, 1.44step/s] Training: 7%|▋ | 7370/100000 [1:29:22<18:30:24, 1.39step/s] Training: 7%|▋ | 7371/100000 [1:29:23<18:50:56, 1.37step/s] Training: 7%|▋ | 7372/100000 [1:29:23<18:07:54, 1.42step/s] Training: 7%|▋ | 7373/100000 [1:29:24<19:54:12, 1.29step/s] Training: 7%|▋ | 7374/100000 [1:29:25<19:46:58, 1.30step/s] Training: 7%|▋ | 7375/100000 [1:29:26<18:49:01, 1.37step/s] Training: 7%|▋ | 7376/100000 [1:29:27<19:41:02, 1.31step/s] Training: 7%|▋ | 7377/100000 [1:29:27<18:29:49, 1.39step/s] Training: 7%|▋ | 7378/100000 [1:29:28<18:52:00, 1.36step/s] Training: 7%|▋ | 7379/100000 [1:29:29<18:57:15, 1.36step/s] Training: 7%|▋ | 7380/100000 [1:29:29<19:24:53, 1.33step/s] Training: 7%|▋ | 7381/100000 [1:29:30<19:44:21, 1.30step/s] Training: 7%|▋ | 7382/100000 [1:29:31<19:56:50, 1.29step/s] Training: 7%|▋ | 7383/100000 [1:29:32<18:55:22, 1.36step/s] Training: 7%|▋ | 7384/100000 [1:29:33<19:42:35, 1.31step/s] Training: 7%|▋ | 7385/100000 [1:29:33<18:38:45, 1.38step/s] Training: 7%|▋ | 7386/100000 [1:29:34<18:45:35, 1.37step/s] Training: 7%|▋ | 7387/100000 [1:29:35<18:40:20, 1.38step/s] Training: 7%|▋ | 7388/100000 [1:29:35<18:54:40, 1.36step/s] Training: 7%|▋ | 7389/100000 [1:29:36<19:22:13, 1.33step/s] Training: 7%|▋ | 7390/100000 [1:29:37<19:26:49, 1.32step/s] Training: 7%|▋ | 7391/100000 [1:29:38<18:31:05, 1.39step/s] Training: 7%|▋ | 7392/100000 [1:29:38<17:47:29, 1.45step/s] Training: 7%|▋ | 7393/100000 [1:29:39<18:25:45, 1.40step/s] Training: 7%|▋ | 7394/100000 [1:29:40<18:44:02, 1.37step/s] Training: 7%|▋ | 7395/100000 [1:29:40<18:33:41, 1.39step/s] Training: 7%|▋ | 7396/100000 [1:29:41<18:40:27, 1.38step/s] Training: 7%|▋ | 7397/100000 [1:29:42<19:13:42, 1.34step/s] Training: 7%|▋ | 7398/100000 [1:29:43<18:58:08, 1.36step/s] Training: 7%|▋ | 7399/100000 [1:29:43<17:59:05, 1.43step/s] Training: 7%|▋ | 7400/100000 [1:29:44<17:23:47, 1.48step/s]INFO 2026-03-12 04:52:00 ot_train.py:435 step:7K smpl:474K ep:2K epch:6.27 loss:0.391 grdn:11.367 lr:2.0e-05 updt_s:0.712 data_s:0.012 Training: 7%|▋ | 7401/100000 [1:29:45<18:11:56, 1.41step/s] Training: 7%|▋ | 7402/100000 [1:29:45<18:18:07, 1.41step/s] Training: 7%|▋ | 7403/100000 [1:29:46<18:39:47, 1.38step/s] Training: 7%|▋ | 7404/100000 [1:29:47<17:45:33, 1.45step/s] Training: 7%|▋ | 7405/100000 [1:29:48<19:26:45, 1.32step/s] Training: 7%|▋ | 7406/100000 [1:29:48<19:04:08, 1.35step/s] Training: 7%|▋ | 7407/100000 [1:29:49<17:58:48, 1.43step/s] Training: 7%|▋ | 7408/100000 [1:29:50<17:21:56, 1.48step/s] Training: 7%|▋ | 7409/100000 [1:29:50<17:36:15, 1.46step/s] Training: 7%|▋ | 7410/100000 [1:29:51<18:11:18, 1.41step/s] Training: 7%|▋ | 7411/100000 [1:29:52<18:40:54, 1.38step/s] Training: 7%|▋ | 7412/100000 [1:29:53<18:48:12, 1.37step/s] Training: 7%|▋ | 7413/100000 [1:29:53<19:14:17, 1.34step/s] Training: 7%|▋ | 7414/100000 [1:29:54<19:43:04, 1.30step/s] Training: 7%|▋ | 7415/100000 [1:29:55<18:37:20, 1.38step/s] Training: 7%|▋ | 7416/100000 [1:29:55<17:41:57, 1.45step/s] Training: 7%|▋ | 7417/100000 [1:29:56<18:02:26, 1.43step/s] Training: 7%|▋ | 7418/100000 [1:29:57<18:18:27, 1.40step/s] Training: 7%|▋ | 7419/100000 [1:29:58<18:20:38, 1.40step/s] Training: 7%|▋ | 7420/100000 [1:29:58<18:17:41, 1.41step/s] Training: 7%|▋ | 7421/100000 [1:29:59<18:54:18, 1.36step/s] Training: 7%|▋ | 7422/100000 [1:30:00<19:00:27, 1.35step/s] Training: 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1.37step/s] Training: 7%|▋ | 7440/100000 [1:30:13<18:10:35, 1.41step/s] Training: 7%|▋ | 7441/100000 [1:30:13<17:27:40, 1.47step/s] Training: 7%|▋ | 7442/100000 [1:30:14<18:40:51, 1.38step/s] Training: 7%|▋ | 7443/100000 [1:30:15<18:57:51, 1.36step/s] Training: 7%|▋ | 7444/100000 [1:30:16<18:58:58, 1.35step/s] Training: 7%|▋ | 7445/100000 [1:30:16<19:24:10, 1.33step/s] Training: 7%|▋ | 7446/100000 [1:30:17<19:30:43, 1.32step/s] Training: 7%|▋ | 7447/100000 [1:30:18<18:32:14, 1.39step/s] Training: 7%|▋ | 7448/100000 [1:30:18<17:41:47, 1.45step/s] Training: 7%|▋ | 7449/100000 [1:30:19<17:21:25, 1.48step/s] Training: 7%|▋ | 7450/100000 [1:30:20<18:45:55, 1.37step/s] Training: 7%|▋ | 7451/100000 [1:30:21<19:14:13, 1.34step/s] Training: 7%|▋ | 7452/100000 [1:30:21<19:08:02, 1.34step/s] Training: 7%|▋ | 7453/100000 [1:30:22<19:14:58, 1.34step/s] Training: 7%|▋ | 7454/100000 [1:30:23<19:13:47, 1.34step/s] Training: 7%|▋ | 7455/100000 [1:30:24<18:15:54, 1.41step/s] Training: 7%|▋ | 7456/100000 [1:30:24<17:27:24, 1.47step/s] Training: 7%|▋ | 7457/100000 [1:30:25<16:50:13, 1.53step/s] Training: 7%|▋ | 7458/100000 [1:30:26<17:39:47, 1.46step/s] Training: 7%|▋ | 7459/100000 [1:30:26<18:09:21, 1.42step/s] Training: 7%|▋ | 7460/100000 [1:30:27<18:25:23, 1.40step/s] Training: 7%|▋ | 7461/100000 [1:30:28<18:46:00, 1.37step/s] Training: 7%|▋ | 7462/100000 [1:30:29<18:36:49, 1.38step/s] Training: 7%|▋ | 7463/100000 [1:30:29<17:58:53, 1.43step/s] Training: 7%|▋ | 7464/100000 [1:30:30<17:31:26, 1.47step/s] Training: 7%|▋ | 7465/100000 [1:30:30<17:06:35, 1.50step/s] Training: 7%|▋ | 7466/100000 [1:30:31<17:59:58, 1.43step/s] Training: 7%|▋ | 7467/100000 [1:30:32<18:24:16, 1.40step/s] Training: 7%|▋ | 7468/100000 [1:30:33<17:43:23, 1.45step/s] Training: 7%|▋ | 7469/100000 [1:30:34<19:32:04, 1.32step/s] Training: 7%|▋ | 7470/100000 [1:30:34<19:03:48, 1.35step/s] Training: 7%|▋ | 7471/100000 [1:30:35<18:14:54, 1.41step/s] Training: 7%|▋ | 7472/100000 [1:30:36<17:38:22, 1.46step/s] Training: 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1.49step/s] Training: 7%|▋ | 7490/100000 [1:30:48<17:48:23, 1.44step/s] Training: 7%|▋ | 7491/100000 [1:30:49<18:11:16, 1.41step/s] Training: 7%|▋ | 7492/100000 [1:30:50<18:26:28, 1.39step/s] Training: 7%|▋ | 7493/100000 [1:30:50<18:40:51, 1.38step/s] Training: 7%|▋ | 7494/100000 [1:30:51<18:46:45, 1.37step/s] Training: 7%|▋ | 7495/100000 [1:30:52<17:47:50, 1.44step/s] Training: 7%|▋ | 7496/100000 [1:30:52<17:15:11, 1.49step/s] Training: 7%|▋ | 7497/100000 [1:30:53<17:08:28, 1.50step/s] Training: 7%|▋ | 7498/100000 [1:30:54<17:48:03, 1.44step/s] Training: 7%|▋ | 7499/100000 [1:30:55<18:16:51, 1.41step/s] Training: 8%|▊ | 7500/100000 [1:30:55<18:48:13, 1.37step/s]INFO 2026-03-12 04:53:11 ot_train.py:435 step:8K smpl:480K ep:2K epch:6.36 loss:0.414 grdn:11.658 lr:2.0e-05 updt_s:0.699 data_s:0.012 Training: 8%|▊ | 7501/100000 [1:30:56<19:25:22, 1.32step/s] Training: 8%|▊ | 7502/100000 [1:30:57<19:22:37, 1.33step/s] Training: 8%|▊ | 7503/100000 [1:30:57<18:33:29, 1.38step/s] Training: 8%|▊ | 7504/100000 [1:30:58<17:45:43, 1.45step/s] Training: 8%|▊ | 7505/100000 [1:30:59<17:16:12, 1.49step/s] Training: 8%|▊ | 7506/100000 [1:31:00<17:56:11, 1.43step/s] Training: 8%|▊ | 7507/100000 [1:31:00<18:42:18, 1.37step/s] Training: 8%|▊ | 7508/100000 [1:31:01<19:09:05, 1.34step/s] Training: 8%|▊ | 7509/100000 [1:31:02<19:35:56, 1.31step/s] Training: 8%|▊ | 7510/100000 [1:31:03<19:35:46, 1.31step/s] Training: 8%|▊ | 7511/100000 [1:31:03<18:32:23, 1.39step/s] Training: 8%|▊ | 7512/100000 [1:31:04<17:54:45, 1.43step/s] Training: 8%|▊ | 7513/100000 [1:31:05<17:28:23, 1.47step/s] Training: 8%|▊ | 7514/100000 [1:31:05<17:47:41, 1.44step/s] Training: 8%|▊ | 7515/100000 [1:31:06<18:14:36, 1.41step/s] Training: 8%|▊ | 7516/100000 [1:31:07<19:12:50, 1.34step/s] Training: 8%|▊ | 7517/100000 [1:31:08<19:07:48, 1.34step/s] Training: 8%|▊ | 7518/100000 [1:31:08<19:06:28, 1.34step/s] Training: 8%|▊ | 7519/100000 [1:31:09<18:12:01, 1.41step/s] Training: 8%|▊ | 7520/100000 [1:31:10<17:32:51, 1.46step/s] Training: 8%|▊ | 7521/100000 [1:31:10<17:05:53, 1.50step/s] Training: 8%|▊ | 7522/100000 [1:31:11<17:48:46, 1.44step/s] Training: 8%|▊ | 7523/100000 [1:31:12<17:55:05, 1.43step/s] Training: 8%|▊ | 7524/100000 [1:31:12<18:29:37, 1.39step/s] Training: 8%|▊ | 7525/100000 [1:31:13<18:54:48, 1.36step/s] Training: 8%|▊ | 7526/100000 [1:31:14<18:43:34, 1.37step/s] Training: 8%|▊ | 7527/100000 [1:31:15<17:56:10, 1.43step/s] Training: 8%|▊ | 7528/100000 [1:31:15<17:34:25, 1.46step/s] Training: 8%|▊ | 7529/100000 [1:31:16<17:00:19, 1.51step/s] Training: 8%|▊ | 7530/100000 [1:31:17<17:43:38, 1.45step/s] Training: 8%|▊ | 7531/100000 [1:31:17<18:18:48, 1.40step/s] Training: 8%|▊ | 7532/100000 [1:31:18<18:08:41, 1.42step/s] Training: 8%|▊ | 7533/100000 [1:31:19<19:04:09, 1.35step/s] Training: 8%|▊ | 7534/100000 [1:31:20<18:42:37, 1.37step/s] Training: 8%|▊ | 7535/100000 [1:31:20<17:55:28, 1.43step/s] Training: 8%|▊ | 7536/100000 [1:31:21<17:15:03, 1.49step/s] Training: 8%|▊ | 7537/100000 [1:31:21<16:44:55, 1.53step/s] Training: 8%|▊ | 7538/100000 [1:31:22<17:37:24, 1.46step/s] Training: 8%|▊ | 7539/100000 [1:31:23<18:33:25, 1.38step/s] Training: 8%|▊ | 7540/100000 [1:31:24<18:42:50, 1.37step/s] Training: 8%|▊ | 7541/100000 [1:31:25<19:04:55, 1.35step/s] Training: 8%|▊ | 7542/100000 [1:31:25<19:16:27, 1.33step/s] Training: 8%|▊ | 7543/100000 [1:31:26<18:19:45, 1.40step/s] Training: 8%|▊ | 7544/100000 [1:31:27<17:40:35, 1.45step/s] Training: 8%|▊ | 7545/100000 [1:31:27<17:12:06, 1.49step/s] Training: 8%|▊ | 7546/100000 [1:31:28<17:31:53, 1.46step/s] Training: 8%|▊ | 7547/100000 [1:31:29<17:48:11, 1.44step/s] Training: 8%|▊ | 7548/100000 [1:31:29<18:21:48, 1.40step/s] Training: 8%|▊ | 7549/100000 [1:31:30<19:12:04, 1.34step/s] Training: 8%|▊ | 7550/100000 [1:31:31<19:16:59, 1.33step/s] Training: 8%|▊ | 7551/100000 [1:31:32<18:08:31, 1.42step/s] Training: 8%|▊ | 7552/100000 [1:31:32<17:24:52, 1.47step/s] Training: 8%|▊ | 7553/100000 [1:31:33<17:00:04, 1.51step/s] Training: 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[1:31:57<18:04:56, 1.42step/s] Training: 8%|▊ | 7588/100000 [1:31:58<18:02:18, 1.42step/s] Training: 8%|▊ | 7589/100000 [1:31:59<18:33:41, 1.38step/s] Training: 8%|▊ | 7590/100000 [1:31:59<18:29:15, 1.39step/s] Training: 8%|▊ | 7591/100000 [1:32:00<17:44:15, 1.45step/s] Training: 8%|▊ | 7592/100000 [1:32:00<17:04:51, 1.50step/s] Training: 8%|▊ | 7593/100000 [1:32:01<16:50:13, 1.52step/s] Training: 8%|▊ | 7594/100000 [1:32:02<17:46:46, 1.44step/s] Training: 8%|▊ | 7595/100000 [1:32:03<18:25:27, 1.39step/s] Training: 8%|▊ | 7596/100000 [1:32:03<17:42:14, 1.45step/s] Training: 8%|▊ | 7597/100000 [1:32:04<19:19:08, 1.33step/s] Training: 8%|▊ | 7598/100000 [1:32:05<18:54:42, 1.36step/s] Training: 8%|▊ | 7599/100000 [1:32:05<18:01:47, 1.42step/s] Training: 8%|▊ | 7600/100000 [1:32:06<17:16:42, 1.49step/s]INFO 2026-03-12 04:54:22 ot_train.py:435 step:8K smpl:486K ep:2K epch:6.44 loss:0.387 grdn:11.857 lr:2.0e-05 updt_s:0.694 data_s:0.012 Training: 8%|▊ | 7601/100000 [1:32:07<16:54:22, 1.52step/s] Training: 8%|▊ | 7602/100000 [1:32:07<17:18:58, 1.48step/s] Training: 8%|▊ | 7603/100000 [1:32:08<17:59:50, 1.43step/s] Training: 8%|▊ | 7604/100000 [1:32:09<18:36:17, 1.38step/s] Training: 8%|▊ | 7605/100000 [1:32:10<19:08:44, 1.34step/s] Training: 8%|▊ | 7606/100000 [1:32:11<19:17:48, 1.33step/s] Training: 8%|▊ | 7607/100000 [1:32:11<18:19:31, 1.40step/s] Training: 8%|▊ | 7608/100000 [1:32:12<17:44:34, 1.45step/s] Training: 8%|▊ | 7609/100000 [1:32:12<17:06:22, 1.50step/s] Training: 8%|▊ | 7610/100000 [1:32:13<17:26:23, 1.47step/s] Training: 8%|▊ | 7611/100000 [1:32:14<17:42:11, 1.45step/s] Training: 8%|▊ | 7612/100000 [1:32:15<18:06:47, 1.42step/s] Training: 8%|▊ | 7613/100000 [1:32:15<18:26:13, 1.39step/s] Training: 8%|▊ | 7614/100000 [1:32:16<19:41:20, 1.30step/s] Training: 8%|▊ | 7615/100000 [1:32:17<18:23:57, 1.39step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=15220 Training: 8%|▊ | 7616/100000 [1:32:17<17:48:01, 1.44step/s] Training: 8%|▊ | 7617/100000 [1:32:18<17:22:37, 1.48step/s] Training: 8%|▊ | 7618/100000 [1:32:19<17:48:22, 1.44step/s] Training: 8%|▊ | 7619/100000 [1:32:20<18:10:15, 1.41step/s] Training: 8%|▊ | 7620/100000 [1:32:20<18:16:26, 1.40step/s] Training: 8%|▊ | 7621/100000 [1:32:21<19:09:45, 1.34step/s] Training: 8%|▊ | 7622/100000 [1:32:22<19:12:15, 1.34step/s] Training: 8%|▊ | 7623/100000 [1:32:22<18:13:51, 1.41step/s] Training: 8%|▊ | 7624/100000 [1:32:23<17:34:20, 1.46step/s] Training: 8%|▊ | 7625/100000 [1:32:24<17:02:17, 1.51step/s] Training: 8%|▊ | 7626/100000 [1:32:24<17:51:57, 1.44step/s] Training: 8%|▊ | 7627/100000 [1:32:25<18:21:33, 1.40step/s] Training: 8%|▊ | 7628/100000 [1:32:26<17:45:57, 1.44step/s] Training: 8%|▊ | 7629/100000 [1:32:27<19:58:25, 1.28step/s] Training: 8%|▊ | 7630/100000 [1:32:28<20:04:41, 1.28step/s] Training: 8%|▊ | 7631/100000 [1:32:28<18:47:28, 1.37step/s] Training: 8%|▊ | 7632/100000 [1:32:29<17:55:27, 1.43step/s] Training: 8%|▊ | 7633/100000 [1:32:30<17:18:49, 1.48step/s] Training: 8%|▊ | 7634/100000 [1:32:30<17:34:40, 1.46step/s] Training: 8%|▊ | 7635/100000 [1:32:31<18:20:27, 1.40step/s] Training: 8%|▊ | 7636/100000 [1:32:32<18:35:19, 1.38step/s] Training: 8%|▊ | 7637/100000 [1:32:33<19:00:51, 1.35step/s] Training: 8%|▊ | 7638/100000 [1:32:33<19:17:59, 1.33step/s] Training: 8%|▊ | 7639/100000 [1:32:34<19:30:25, 1.32step/s] Training: 8%|▊ | 7640/100000 [1:32:35<18:18:02, 1.40step/s] Training: 8%|▊ | 7641/100000 [1:32:35<17:29:13, 1.47step/s] Training: 8%|▊ | 7642/100000 [1:32:36<17:45:48, 1.44step/s] Training: 8%|▊ | 7643/100000 [1:32:37<17:51:24, 1.44step/s] Training: 8%|▊ | 7644/100000 [1:32:37<17:57:32, 1.43step/s] Training: 8%|▊ | 7645/100000 [1:32:38<18:30:53, 1.39step/s] Training: 8%|▊ | 7646/100000 [1:32:39<18:57:38, 1.35step/s] Training: 8%|▊ | 7647/100000 [1:32:40<19:15:08, 1.33step/s] Training: 8%|▊ | 7648/100000 [1:32:40<18:15:58, 1.40step/s] Training: 8%|▊ | 7649/100000 [1:32:41<17:35:12, 1.46step/s] Training: 8%|▊ | 7650/100000 [1:32:42<18:28:50, 1.39step/s] Training: 8%|▊ | 7651/100000 [1:32:43<18:26:52, 1.39step/s] Training: 8%|▊ | 7652/100000 [1:32:43<18:57:58, 1.35step/s] Training: 8%|▊ | 7653/100000 [1:32:44<19:21:50, 1.32step/s] Training: 8%|▊ | 7654/100000 [1:32:45<19:15:04, 1.33step/s] Training: 8%|▊ | 7655/100000 [1:32:46<18:54:52, 1.36step/s] Training: 8%|▊ | 7656/100000 [1:32:46<18:10:40, 1.41step/s] Training: 8%|▊ | 7657/100000 [1:32:47<17:24:37, 1.47step/s] Training: 8%|▊ | 7658/100000 [1:32:48<17:55:42, 1.43step/s] Training: 8%|▊ | 7659/100000 [1:32:48<17:22:49, 1.48step/s] Training: 8%|▊ | 7660/100000 [1:32:49<19:13:59, 1.33step/s] Training: 8%|▊ | 7661/100000 [1:32:50<19:41:50, 1.30step/s] Training: 8%|▊ | 7662/100000 [1:32:51<19:23:56, 1.32step/s] Training: 8%|▊ | 7663/100000 [1:32:51<19:07:30, 1.34step/s] Training: 8%|▊ | 7664/100000 [1:32:52<18:00:55, 1.42step/s] Training: 8%|▊ | 7665/100000 [1:32:53<17:25:34, 1.47step/s] Training: 8%|▊ | 7666/100000 [1:32:53<17:43:46, 1.45step/s] Training: 8%|▊ | 7667/100000 [1:32:54<17:48:22, 1.44step/s] Training: 8%|▊ | 7668/100000 [1:32:55<18:20:42, 1.40step/s] Training: 8%|▊ | 7669/100000 [1:32:56<18:50:25, 1.36step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=40455 Training: 8%|▊ | 7670/100000 [1:32:56<19:00:22, 1.35step/s] Training: 8%|▊ | 7671/100000 [1:32:57<19:12:43, 1.33step/s] Training: 8%|▊ | 7672/100000 [1:32:58<18:13:58, 1.41step/s] Training: 8%|▊ | 7673/100000 [1:32:58<17:39:25, 1.45step/s] Training: 8%|▊ | 7674/100000 [1:32:59<17:52:10, 1.44step/s] Training: 8%|▊ | 7675/100000 [1:33:00<18:18:24, 1.40step/s] Training: 8%|▊ | 7676/100000 [1:33:01<18:32:50, 1.38step/s] Training: 8%|▊ | 7677/100000 [1:33:01<19:01:21, 1.35step/s] Training: 8%|▊ | 7678/100000 [1:33:02<19:24:40, 1.32step/s] Training: 8%|▊ | 7679/100000 [1:33:03<18:23:35, 1.39step/s] Training: 8%|▊ | 7680/100000 [1:33:04<18:51:35, 1.36step/s] Training: 8%|▊ | 7681/100000 [1:33:04<17:58:24, 1.43step/s] Training: 8%|▊ | 7682/100000 [1:33:05<18:28:48, 1.39step/s] Training: 8%|▊ | 7683/100000 [1:33:06<18:28:55, 1.39step/s] Training: 8%|▊ | 7684/100000 [1:33:06<18:54:14, 1.36step/s] Training: 8%|▊ | 7685/100000 [1:33:07<19:33:16, 1.31step/s] Training: 8%|▊ | 7686/100000 [1:33:08<19:16:47, 1.33step/s] Training: 8%|▊ | 7687/100000 [1:33:09<18:25:02, 1.39step/s] Training: 8%|▊ | 7688/100000 [1:33:09<18:40:15, 1.37step/s] Training: 8%|▊ | 7689/100000 [1:33:10<17:54:41, 1.43step/s] Training: 8%|▊ | 7690/100000 [1:33:11<18:21:53, 1.40step/s] Training: 8%|▊ | 7691/100000 [1:33:11<18:38:43, 1.38step/s] Training: 8%|▊ | 7692/100000 [1:33:12<18:30:30, 1.39step/s] Training: 8%|▊ | 7693/100000 [1:33:13<19:14:14, 1.33step/s] Training: 8%|▊ | 7694/100000 [1:33:14<19:01:49, 1.35step/s] Training: 8%|▊ | 7695/100000 [1:33:14<18:10:12, 1.41step/s] Training: 8%|▊ | 7696/100000 [1:33:15<18:35:43, 1.38step/s] Training: 8%|▊ | 7697/100000 [1:33:16<17:48:40, 1.44step/s] Training: 8%|▊ | 7698/100000 [1:33:16<17:57:56, 1.43step/s] Training: 8%|▊ | 7699/100000 [1:33:17<18:32:40, 1.38step/s] Training: 8%|▊ | 7700/100000 [1:33:18<18:46:34, 1.37step/s]INFO 2026-03-12 04:55:34 ot_train.py:435 step:8K smpl:493K ep:2K epch:6.53 loss:0.419 grdn:12.138 lr:2.0e-05 updt_s:0.705 data_s:0.012 Training: 8%|▊ | 7701/100000 [1:33:19<19:28:17, 1.32step/s] Training: 8%|▊ | 7702/100000 [1:33:20<19:33:06, 1.31step/s] Training: 8%|▊ | 7703/100000 [1:33:20<18:31:20, 1.38step/s] Training: 8%|▊ | 7704/100000 [1:33:21<17:48:14, 1.44step/s] Training: 8%|▊ | 7705/100000 [1:33:22<18:36:07, 1.38step/s] Training: 8%|▊ | 7706/100000 [1:33:22<18:21:24, 1.40step/s] Training: 8%|▊ | 7707/100000 [1:33:23<18:23:17, 1.39step/s] Training: 8%|▊ | 7708/100000 [1:33:24<18:47:22, 1.36step/s] Training: 8%|▊ | 7709/100000 [1:33:25<18:51:06, 1.36step/s] Training: 8%|▊ | 7710/100000 [1:33:25<19:02:23, 1.35step/s] Training: 8%|▊ | 7711/100000 [1:33:26<18:08:46, 1.41step/s] Training: 8%|▊ | 7712/100000 [1:33:27<17:30:01, 1.46step/s] Training: 8%|▊ | 7713/100000 [1:33:27<18:11:29, 1.41step/s] Training: 8%|▊ | 7714/100000 [1:33:28<18:27:05, 1.39step/s] Training: 8%|▊ | 7715/100000 [1:33:29<18:21:06, 1.40step/s] Training: 8%|▊ | 7716/100000 [1:33:30<18:36:05, 1.38step/s] Training: 8%|▊ | 7717/100000 [1:33:30<19:01:10, 1.35step/s] Training: 8%|▊ | 7718/100000 [1:33:31<18:41:16, 1.37step/s] Training: 8%|▊ | 7719/100000 [1:33:32<17:53:02, 1.43step/s] Training: 8%|▊ | 7720/100000 [1:33:32<17:12:59, 1.49step/s] Training: 8%|▊ | 7721/100000 [1:33:33<18:13:14, 1.41step/s] Training: 8%|▊ | 7722/100000 [1:33:34<18:32:08, 1.38step/s] Training: 8%|▊ | 7723/100000 [1:33:35<19:00:12, 1.35step/s] Training: 8%|▊ | 7724/100000 [1:33:35<19:40:23, 1.30step/s] Training: 8%|▊ | 7725/100000 [1:33:36<19:44:29, 1.30step/s] Training: 8%|▊ | 7726/100000 [1:33:37<19:08:47, 1.34step/s] Training: 8%|▊ | 7727/100000 [1:33:38<18:15:51, 1.40step/s] Training: 8%|▊ | 7728/100000 [1:33:38<17:26:02, 1.47step/s] Training: 8%|▊ | 7729/100000 [1:33:39<18:06:19, 1.42step/s] Training: 8%|▊ | 7730/100000 [1:33:40<17:58:49, 1.43step/s] Training: 8%|▊ | 7731/100000 [1:33:40<18:25:22, 1.39step/s] Training: 8%|▊ | 7732/100000 [1:33:41<18:07:42, 1.41step/s] Training: 8%|▊ | 7733/100000 [1:33:42<18:21:39, 1.40step/s] Training: 8%|▊ | 7734/100000 [1:33:42<17:39:58, 1.45step/s] Training: 8%|▊ | 7735/100000 [1:33:43<18:01:34, 1.42step/s] Training: 8%|▊ | 7736/100000 [1:33:44<17:26:53, 1.47step/s] Training: 8%|▊ | 7737/100000 [1:33:44<17:05:19, 1.50step/s] Training: 8%|▊ | 7738/100000 [1:33:45<17:56:42, 1.43step/s] Training: 8%|▊ | 7739/100000 [1:33:46<18:00:43, 1.42step/s] Training: 8%|▊ | 7740/100000 [1:33:47<17:49:31, 1.44step/s] Training: 8%|▊ | 7741/100000 [1:33:47<18:02:56, 1.42step/s] Training: 8%|▊ | 7742/100000 [1:33:48<18:37:40, 1.38step/s] Training: 8%|▊ | 7743/100000 [1:33:49<17:50:55, 1.44step/s] Training: 8%|▊ | 7744/100000 [1:33:49<17:26:43, 1.47step/s] Training: 8%|▊ | 7745/100000 [1:33:50<16:51:57, 1.52step/s] Training: 8%|▊ | 7746/100000 [1:33:51<17:50:34, 1.44step/s] Training: 8%|▊ | 7747/100000 [1:33:51<17:54:24, 1.43step/s] Training: 8%|▊ | 7748/100000 [1:33:52<17:58:54, 1.43step/s] Training: 8%|▊ | 7749/100000 [1:33:53<18:33:44, 1.38step/s] Training: 8%|▊ | 7750/100000 [1:33:54<18:43:02, 1.37step/s] Training: 8%|▊ | 7751/100000 [1:33:54<17:57:54, 1.43step/s] Training: 8%|▊ | 7752/100000 [1:33:55<17:17:03, 1.48step/s] Training: 8%|▊ | 7753/100000 [1:33:56<16:59:00, 1.51step/s] Training: 8%|▊ | 7754/100000 [1:33:56<18:01:00, 1.42step/s] Training: 8%|▊ | 7755/100000 [1:33:57<18:11:26, 1.41step/s] Training: 8%|▊ | 7756/100000 [1:33:58<18:19:05, 1.40step/s] Training: 8%|▊ | 7757/100000 [1:33:59<19:05:39, 1.34step/s] Training: 8%|▊ | 7758/100000 [1:33:59<18:59:49, 1.35step/s] Training: 8%|▊ | 7759/100000 [1:34:00<18:08:45, 1.41step/s] Training: 8%|▊ | 7760/100000 [1:34:01<17:36:58, 1.45step/s] Training: 8%|▊ | 7761/100000 [1:34:01<17:11:18, 1.49step/s] Training: 8%|▊ | 7762/100000 [1:34:02<18:06:47, 1.41step/s] Training: 8%|▊ | 7763/100000 [1:34:03<18:29:49, 1.39step/s] Training: 8%|▊ | 7764/100000 [1:34:04<18:56:41, 1.35step/s] Training: 8%|▊ | 7765/100000 [1:34:04<19:10:36, 1.34step/s] Training: 8%|▊ | 7766/100000 [1:34:05<18:19:17, 1.40step/s] Training: 8%|▊ | 7767/100000 [1:34:06<18:25:35, 1.39step/s] Training: 8%|▊ | 7768/100000 [1:34:06<17:42:32, 1.45step/s] Training: 8%|▊ | 7769/100000 [1:34:07<17:04:20, 1.50step/s] Training: 8%|▊ | 7770/100000 [1:34:08<17:38:42, 1.45step/s] Training: 8%|▊ | 7771/100000 [1:34:08<17:44:18, 1.44step/s] Training: 8%|▊ | 7772/100000 [1:34:09<18:14:06, 1.40step/s] Training: 8%|▊ | 7773/100000 [1:34:10<18:49:36, 1.36step/s] Training: 8%|▊ | 7774/100000 [1:34:11<18:23:53, 1.39step/s] Training: 8%|▊ | 7775/100000 [1:34:11<17:31:14, 1.46step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=18856 Training: 8%|▊ | 7776/100000 [1:34:12<17:04:08, 1.50step/s] Training: 8%|▊ | 7777/100000 [1:34:12<16:35:39, 1.54step/s] Training: 8%|▊ | 7778/100000 [1:34:13<17:30:51, 1.46step/s] Training: 8%|▊ | 7779/100000 [1:34:14<18:10:23, 1.41step/s] Training: 8%|▊ | 7780/100000 [1:34:15<18:02:17, 1.42step/s] Training: 8%|▊ | 7781/100000 [1:34:15<18:42:57, 1.37step/s] Training: 8%|▊ | 7782/100000 [1:34:16<18:34:00, 1.38step/s] Training: 8%|▊ | 7783/100000 [1:34:17<17:39:14, 1.45step/s] Training: 8%|▊ | 7784/100000 [1:34:17<17:11:40, 1.49step/s] Training: 8%|▊ | 7785/100000 [1:34:18<16:50:15, 1.52step/s] Training: 8%|▊ | 7786/100000 [1:34:19<17:34:47, 1.46step/s] Training: 8%|▊ | 7787/100000 [1:34:20<18:18:19, 1.40step/s] Training: 8%|▊ | 7788/100000 [1:34:20<18:17:32, 1.40step/s] Training: 8%|▊ | 7789/100000 [1:34:21<18:48:30, 1.36step/s] Training: 8%|▊ | 7790/100000 [1:34:22<18:37:07, 1.38step/s] Training: 8%|▊ | 7791/100000 [1:34:22<17:49:22, 1.44step/s] Training: 8%|▊ | 7792/100000 [1:34:23<17:16:15, 1.48step/s] Training: 8%|▊ | 7793/100000 [1:34:24<16:53:09, 1.52step/s] Training: 8%|▊ | 7794/100000 [1:34:24<17:52:09, 1.43step/s] Training: 8%|▊ | 7795/100000 [1:34:25<18:21:04, 1.40step/s] Training: 8%|▊ | 7796/100000 [1:34:26<18:31:54, 1.38step/s] Training: 8%|▊ | 7797/100000 [1:34:27<18:47:37, 1.36step/s] Training: 8%|▊ | 7798/100000 [1:34:27<19:08:03, 1.34step/s] Training: 8%|▊ | 7799/100000 [1:34:28<18:02:34, 1.42step/s] Training: 8%|▊ | 7800/100000 [1:34:29<17:25:45, 1.47step/s]INFO 2026-03-12 04:56:45 ot_train.py:435 step:8K smpl:499K ep:2K epch:6.61 loss:0.395 grdn:11.923 lr:2.0e-05 updt_s:0.693 data_s:0.012 Training: 8%|▊ | 7801/100000 [1:34:29<16:54:01, 1.52step/s] Training: 8%|▊ | 7802/100000 [1:34:30<17:11:47, 1.49step/s] Training: 8%|▊ | 7803/100000 [1:34:31<17:32:50, 1.46step/s] Training: 8%|▊ | 7804/100000 [1:34:32<18:33:34, 1.38step/s] Training: 8%|▊ | 7805/100000 [1:34:32<18:49:55, 1.36step/s] Training: 8%|▊ | 7806/100000 [1:34:33<19:00:34, 1.35step/s] Training: 8%|▊ | 7807/100000 [1:34:34<17:58:35, 1.42step/s] Training: 8%|▊ | 7808/100000 [1:34:34<17:22:59, 1.47step/s] Training: 8%|▊ | 7809/100000 [1:34:35<16:55:49, 1.51step/s] Training: 8%|▊ | 7810/100000 [1:34:36<17:48:13, 1.44step/s] Training: 8%|▊ | 7811/100000 [1:34:36<18:04:23, 1.42step/s] Training: 8%|▊ | 7812/100000 [1:34:37<19:09:57, 1.34step/s] Training: 8%|▊ | 7813/100000 [1:34:38<19:40:54, 1.30step/s] Training: 8%|▊ | 7814/100000 [1:34:39<20:02:52, 1.28step/s] Training: 8%|▊ | 7815/100000 [1:34:40<18:55:29, 1.35step/s] Training: 8%|▊ | 7816/100000 [1:34:40<18:06:44, 1.41step/s] Training: 8%|▊ | 7817/100000 [1:34:41<17:33:40, 1.46step/s] Training: 8%|▊ | 7818/100000 [1:34:42<18:08:42, 1.41step/s] Training: 8%|▊ | 7819/100000 [1:34:42<18:37:35, 1.37step/s] Training: 8%|▊ | 7820/100000 [1:34:43<18:52:19, 1.36step/s] Training: 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[1:35:07<18:27:05, 1.39step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=15220 Training: 8%|▊ | 7855/100000 [1:35:08<17:42:04, 1.45step/s] Training: 8%|▊ | 7856/100000 [1:35:08<17:10:42, 1.49step/s] Training: 8%|▊ | 7857/100000 [1:35:09<16:43:30, 1.53step/s] Training: 8%|▊ | 7858/100000 [1:35:10<17:07:58, 1.49step/s] Training: 8%|▊ | 7859/100000 [1:35:10<17:51:52, 1.43step/s] Training: 8%|▊ | 7860/100000 [1:35:11<18:34:12, 1.38step/s] Training: 8%|▊ | 7861/100000 [1:35:12<18:50:00, 1.36step/s] Training: 8%|▊ | 7862/100000 [1:35:13<19:07:29, 1.34step/s] Training: 8%|▊ | 7863/100000 [1:35:13<18:00:13, 1.42step/s] Training: 8%|▊ | 7864/100000 [1:35:14<17:18:57, 1.48step/s] Training: 8%|▊ | 7865/100000 [1:35:15<16:53:49, 1.51step/s] Training: 8%|▊ | 7866/100000 [1:35:15<17:23:52, 1.47step/s] Training: 8%|▊ | 7867/100000 [1:35:16<18:33:41, 1.38step/s] Training: 8%|▊ 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ot_train.py:435 step:8K smpl:506K ep:2K epch:6.70 loss:0.403 grdn:12.104 lr:2.0e-05 updt_s:0.690 data_s:0.013 Training: 8%|▊ | 7901/100000 [1:35:40<18:25:29, 1.39step/s] Training: 8%|▊ | 7902/100000 [1:35:41<18:53:35, 1.35step/s] Training: 8%|▊ | 7903/100000 [1:35:41<18:06:20, 1.41step/s] Training: 8%|▊ | 7904/100000 [1:35:42<17:33:29, 1.46step/s] Training: 8%|▊ | 7905/100000 [1:35:43<17:04:47, 1.50step/s] Training: 8%|▊ | 7906/100000 [1:35:43<16:45:40, 1.53step/s] Training: 8%|▊ | 7907/100000 [1:35:44<17:45:02, 1.44step/s] Training: 8%|▊ | 7908/100000 [1:35:45<17:54:56, 1.43step/s] Training: 8%|▊ | 7909/100000 [1:35:46<18:39:34, 1.37step/s] Training: 8%|▊ | 7910/100000 [1:35:46<19:04:28, 1.34step/s] Training: 8%|▊ | 7911/100000 [1:35:47<18:10:29, 1.41step/s] Training: 8%|▊ | 7912/100000 [1:35:48<17:20:39, 1.47step/s] Training: 8%|▊ | 7913/100000 [1:35:48<16:55:25, 1.51step/s] Training: 8%|▊ | 7914/100000 [1:35:49<16:28:36, 1.55step/s] Training: 8%|▊ | 7915/100000 [1:35:50<17:26:06, 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8%|▊ | 7999/100000 [1:36:49<18:09:42, 1.41step/s] Training: 8%|▊ | 8000/100000 [1:36:50<17:22:13, 1.47step/s]INFO 2026-03-12 04:59:06 ot_train.py:435 step:8K smpl:512K ep:2K epch:6.78 loss:0.420 grdn:12.409 lr:2.0e-05 updt_s:0.694 data_s:0.012 Training: 8%|▊ | 8001/100000 [1:36:51<16:56:23, 1.51step/s] Training: 8%|▊ | 8002/100000 [1:36:51<17:48:54, 1.43step/s] Training: 8%|▊ | 8003/100000 [1:36:52<18:14:56, 1.40step/s] Training: 8%|▊ | 8004/100000 [1:36:53<18:15:31, 1.40step/s] Training: 8%|▊ | 8005/100000 [1:36:54<18:56:22, 1.35step/s] Training: 8%|▊ | 8006/100000 [1:36:54<18:53:33, 1.35step/s] Training: 8%|▊ | 8007/100000 [1:36:55<18:03:40, 1.41step/s] Training: 8%|▊ | 8008/100000 [1:36:56<17:27:36, 1.46step/s] Training: 8%|▊ | 8009/100000 [1:36:57<18:16:28, 1.40step/s] Training: 8%|▊ | 8010/100000 [1:36:57<17:36:15, 1.45step/s] Training: 8%|▊ | 8011/100000 [1:36:58<17:45:23, 1.44step/s] Training: 8%|▊ | 8012/100000 [1:36:59<17:50:45, 1.43step/s] Training: 8%|▊ | 8013/100000 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[1:37:35<18:34:08, 1.38step/s] Training: 8%|▊ | 8064/100000 [1:37:35<17:48:02, 1.43step/s] Training: 8%|▊ | 8065/100000 [1:37:36<17:18:05, 1.48step/s] Training: 8%|▊ | 8066/100000 [1:37:37<16:55:53, 1.51step/s] Training: 8%|▊ | 8067/100000 [1:37:37<17:45:34, 1.44step/s] Training: 8%|▊ | 8068/100000 [1:37:38<18:13:38, 1.40step/s] Training: 8%|▊ | 8069/100000 [1:37:39<18:43:47, 1.36step/s] Training: 8%|▊ | 8070/100000 [1:37:40<18:35:56, 1.37step/s] Training: 8%|▊ | 8071/100000 [1:37:40<17:49:00, 1.43step/s] Training: 8%|▊ | 8072/100000 [1:37:41<17:16:49, 1.48step/s] Training: 8%|▊ | 8073/100000 [1:37:42<16:53:13, 1.51step/s] Training: 8%|▊ | 8074/100000 [1:37:42<16:35:19, 1.54step/s] Training: 8%|▊ | 8075/100000 [1:37:43<17:43:59, 1.44step/s] Training: 8%|▊ | 8076/100000 [1:37:44<18:10:02, 1.41step/s] Training: 8%|▊ | 8077/100000 [1:37:44<18:31:42, 1.38step/s] Training: 8%|▊ | 8078/100000 [1:37:45<18:41:12, 1.37step/s] Training: 8%|▊ | 8079/100000 [1:37:46<17:54:24, 1.43step/s] Training: 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1.46step/s] Training: 8%|▊ | 8097/100000 [1:37:58<16:50:11, 1.52step/s] Training: 8%|▊ | 8098/100000 [1:37:59<16:34:40, 1.54step/s] Training: 8%|▊ | 8099/100000 [1:38:00<17:23:59, 1.47step/s] Training: 8%|▊ | 8100/100000 [1:38:00<18:10:09, 1.41step/s]INFO 2026-03-12 05:00:16 ot_train.py:435 step:8K smpl:518K ep:2K epch:6.87 loss:0.392 grdn:12.033 lr:2.0e-05 updt_s:0.689 data_s:0.012 Training: 8%|▊ | 8101/100000 [1:38:01<18:44:57, 1.36step/s] Training: 8%|▊ | 8102/100000 [1:38:02<18:29:13, 1.38step/s] Training: 8%|▊ | 8103/100000 [1:38:03<17:33:29, 1.45step/s] Training: 8%|▊ | 8104/100000 [1:38:03<17:03:58, 1.50step/s] Training: 8%|▊ | 8105/100000 [1:38:04<16:43:17, 1.53step/s] Training: 8%|▊ | 8106/100000 [1:38:04<16:20:57, 1.56step/s] Training: 8%|▊ | 8107/100000 [1:38:05<16:50:46, 1.52step/s] Training: 8%|▊ | 8108/100000 [1:38:06<17:57:14, 1.42step/s] Training: 8%|▊ | 8109/100000 [1:38:07<18:29:15, 1.38step/s] Training: 8%|▊ | 8110/100000 [1:38:07<18:16:01, 1.40step/s] Training: 8%|▊ | 8111/100000 [1:38:08<17:34:57, 1.45step/s] Training: 8%|▊ | 8112/100000 [1:38:09<17:05:24, 1.49step/s] Training: 8%|▊ | 8113/100000 [1:38:09<16:47:29, 1.52step/s] Training: 8%|▊ | 8114/100000 [1:38:10<16:36:00, 1.54step/s] Training: 8%|▊ | 8115/100000 [1:38:11<17:04:42, 1.49step/s] Training: 8%|▊ | 8116/100000 [1:38:11<17:48:33, 1.43step/s] Training: 8%|▊ | 8117/100000 [1:38:12<18:09:39, 1.41step/s] Training: 8%|▊ | 8118/100000 [1:38:13<18:45:48, 1.36step/s] Training: 8%|▊ | 8119/100000 [1:38:14<17:57:31, 1.42step/s] Training: 8%|▊ | 8120/100000 [1:38:14<17:33:44, 1.45step/s] Training: 8%|▊ | 8121/100000 [1:38:15<17:14:58, 1.48step/s] Training: 8%|▊ | 8122/100000 [1:38:15<16:47:21, 1.52step/s] Training: 8%|▊ | 8123/100000 [1:38:16<17:29:16, 1.46step/s] Training: 8%|▊ | 8124/100000 [1:38:17<18:13:43, 1.40step/s] Training: 8%|▊ | 8125/100000 [1:38:18<18:46:13, 1.36step/s] Training: 8%|▊ | 8126/100000 [1:38:19<19:16:11, 1.32step/s] Training: 8%|▊ | 8127/100000 [1:38:19<18:17:36, 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[1:38:31<17:09:16, 1.49step/s] Training: 8%|▊ | 8145/100000 [1:38:31<16:40:37, 1.53step/s] Training: 8%|▊ | 8146/100000 [1:38:32<16:26:22, 1.55step/s] Training: 8%|▊ | 8147/100000 [1:38:33<17:00:01, 1.50step/s] Training: 8%|▊ | 8148/100000 [1:38:34<18:05:09, 1.41step/s] Training: 8%|▊ | 8149/100000 [1:38:34<18:50:57, 1.35step/s] Training: 8%|▊ | 8150/100000 [1:38:35<19:13:16, 1.33step/s] Training: 8%|▊ | 8151/100000 [1:38:36<18:06:16, 1.41step/s] Training: 8%|▊ | 8152/100000 [1:38:36<17:16:56, 1.48step/s] Training: 8%|▊ | 8153/100000 [1:38:37<16:42:54, 1.53step/s] Training: 8%|▊ | 8154/100000 [1:38:38<16:18:27, 1.56step/s] Training: 8%|▊ | 8155/100000 [1:38:38<17:22:25, 1.47step/s] Training: 8%|▊ | 8156/100000 [1:38:39<18:08:37, 1.41step/s] Training: 8%|▊ | 8157/100000 [1:38:40<18:18:32, 1.39step/s] Training: 8%|▊ | 8158/100000 [1:38:41<18:46:24, 1.36step/s] Training: 8%|▊ | 8159/100000 [1:38:41<17:54:36, 1.42step/s] Training: 8%|▊ | 8160/100000 [1:38:42<17:10:48, 1.48step/s] Training: 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1.51step/s] Training: 8%|▊ | 8178/100000 [1:38:54<16:37:06, 1.53step/s] Training: 8%|▊ | 8179/100000 [1:38:55<17:08:14, 1.49step/s] Training: 8%|▊ | 8180/100000 [1:38:56<17:53:23, 1.43step/s] Training: 8%|▊ | 8181/100000 [1:38:57<18:46:12, 1.36step/s] Training: 8%|▊ | 8182/100000 [1:38:57<19:36:55, 1.30step/s] Training: 8%|▊ | 8183/100000 [1:38:58<18:25:00, 1.38step/s] Training: 8%|▊ | 8184/100000 [1:38:59<17:35:01, 1.45step/s] Training: 8%|▊ | 8185/100000 [1:38:59<17:10:33, 1.48step/s] Training: 8%|▊ | 8186/100000 [1:39:00<16:54:32, 1.51step/s] Training: 8%|▊ | 8187/100000 [1:39:01<17:55:48, 1.42step/s] Training: 8%|▊ | 8188/100000 [1:39:01<18:35:59, 1.37step/s] Training: 8%|▊ | 8189/100000 [1:39:02<18:49:23, 1.35step/s] Training: 8%|▊ | 8190/100000 [1:39:03<19:15:40, 1.32step/s] Training: 8%|▊ | 8191/100000 [1:39:04<18:27:44, 1.38step/s] Training: 8%|▊ | 8192/100000 [1:39:04<17:47:05, 1.43step/s] Training: 8%|▊ | 8193/100000 [1:39:05<17:10:54, 1.48step/s] Training: 8%|▊ | 8194/100000 [1:39:06<16:41:49, 1.53step/s] Training: 8%|▊ | 8195/100000 [1:39:06<17:31:41, 1.45step/s] Training: 8%|▊ | 8196/100000 [1:39:07<18:16:39, 1.40step/s] Training: 8%|▊ | 8197/100000 [1:39:08<18:41:09, 1.36step/s] Training: 8%|▊ | 8198/100000 [1:39:09<18:27:14, 1.38step/s] Training: 8%|▊ | 8199/100000 [1:39:09<18:53:16, 1.35step/s] Training: 8%|▊ | 8200/100000 [1:39:10<17:48:41, 1.43step/s]INFO 2026-03-12 05:01:26 ot_train.py:435 step:8K smpl:525K ep:2K epch:6.95 loss:0.412 grdn:12.545 lr:2.0e-05 updt_s:0.681 data_s:0.012 Training: 8%|▊ | 8201/100000 [1:39:11<17:17:50, 1.47step/s] Training: 8%|▊ | 8202/100000 [1:39:11<16:56:29, 1.51step/s] Training: 8%|▊ | 8203/100000 [1:39:12<17:16:23, 1.48step/s] Training: 8%|▊ | 8204/100000 [1:39:13<18:00:07, 1.42step/s] Training: 8%|▊ | 8205/100000 [1:39:13<18:29:04, 1.38step/s] Training: 8%|▊ | 8206/100000 [1:39:14<18:22:51, 1.39step/s] Training: 8%|▊ | 8207/100000 [1:39:15<18:32:21, 1.38step/s] Training: 8%|▊ | 8208/100000 [1:39:16<17:42:57, 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1.59step/s] Training: 8%|▊ | 8259/100000 [1:39:51<16:44:31, 1.52step/s] Training: 8%|▊ | 8260/100000 [1:39:53<27:51:40, 1.09s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 8%|▊ | 8261/100000 [1:39:57<50:42:46, 1.99s/step] Training: 8%|▊ | 8262/100000 [1:39:58<41:29:10, 1.63s/step] Training: 8%|▊ | 8263/100000 [1:39:59<33:52:34, 1.33s/step] Training: 8%|▊ | 8264/100000 [1:39:59<29:54:23, 1.17s/step] Training: 8%|▊ | 8265/100000 [1:40:00<25:32:33, 1.00s/step] Training: 8%|▊ | 8266/100000 [1:40:01<22:38:10, 1.13step/s] Training: 8%|▊ | 8267/100000 [1:40:01<22:00:12, 1.16step/s] Training: 8%|▊ | 8268/100000 [1:40:02<22:09:19, 1.15step/s] Training: 8%|▊ | 8269/100000 [1:40:03<21:17:10, 1.20step/s] Training: 8%|▊ | 8270/100000 [1:40:04<19:48:44, 1.29step/s] Training: 8%|▊ | 8271/100000 [1:40:04<19:21:50, 1.32step/s] Training: 8%|▊ | 8272/100000 [1:40:05<18:11:21, 1.40step/s] Training: 8%|▊ | 8273/100000 [1:40:06<18:33:53, 1.37step/s] Training: 8%|▊ | 8274/100000 [1:40:06<17:44:20, 1.44step/s] Training: 8%|▊ | 8275/100000 [1:40:07<17:46:52, 1.43step/s] Training: 8%|▊ | 8276/100000 [1:40:08<18:00:01, 1.42step/s] Training: 8%|▊ | 8277/100000 [1:40:09<18:28:13, 1.38step/s] Training: 8%|▊ | 8278/100000 [1:40:09<18:34:00, 1.37step/s] Training: 8%|▊ | 8279/100000 [1:40:10<17:46:23, 1.43step/s] Training: 8%|▊ | 8280/100000 [1:40:11<17:13:31, 1.48step/s] Training: 8%|▊ | 8281/100000 [1:40:11<18:02:21, 1.41step/s] Training: 8%|▊ | 8282/100000 [1:40:12<17:22:24, 1.47step/s] Training: 8%|▊ | 8283/100000 [1:40:13<17:55:33, 1.42step/s] Training: 8%|▊ | 8284/100000 [1:40:14<18:11:40, 1.40step/s] Training: 8%|▊ | 8285/100000 [1:40:14<19:17:35, 1.32step/s] Training: 8%|▊ | 8286/100000 [1:40:15<19:06:16, 1.33step/s] Training: 8%|▊ | 8287/100000 [1:40:16<18:08:46, 1.40step/s] Training: 8%|▊ | 8288/100000 [1:40:16<17:30:34, 1.45step/s] Training: 8%|▊ | 8289/100000 [1:40:17<18:04:38, 1.41step/s] Training: 8%|▊ | 8290/100000 [1:40:18<17:32:31, 1.45step/s] Training: 8%|▊ | 8291/100000 [1:40:19<18:05:09, 1.41step/s] Training: 8%|▊ | 8292/100000 [1:40:19<18:35:38, 1.37step/s] Training: 8%|▊ | 8293/100000 [1:40:20<19:04:54, 1.34step/s] Training: 8%|▊ | 8294/100000 [1:40:21<19:00:48, 1.34step/s] Training: 8%|▊ | 8295/100000 [1:40:21<18:09:30, 1.40step/s] Training: 8%|▊ | 8296/100000 [1:40:22<17:33:56, 1.45step/s] Training: 8%|▊ | 8297/100000 [1:40:23<17:07:40, 1.49step/s] Training: 8%|▊ | 8298/100000 [1:40:24<18:01:42, 1.41step/s] Training: 8%|▊ | 8299/100000 [1:40:24<18:39:26, 1.37step/s] Training: 8%|▊ | 8300/100000 [1:40:25<18:50:50, 1.35step/s]INFO 2026-03-12 05:02:41 ot_train.py:435 step:8K smpl:531K ep:2K epch:7.04 loss:0.398 grdn:11.963 lr:2.0e-05 updt_s:0.694 data_s:0.056 Training: 8%|▊ | 8301/100000 [1:40:26<19:21:51, 1.32step/s] Training: 8%|▊ | 8302/100000 [1:40:27<19:20:17, 1.32step/s] Training: 8%|▊ | 8303/100000 [1:40:27<18:13:23, 1.40step/s] Training: 8%|▊ | 8304/100000 [1:40:28<17:26:56, 1.46step/s] Training: 8%|▊ | 8305/100000 [1:40:28<17:00:37, 1.50step/s] Training: 8%|▊ | 8306/100000 [1:40:29<17:50:10, 1.43step/s] Training: 8%|▊ | 8307/100000 [1:40:30<18:01:10, 1.41step/s] Training: 8%|▊ | 8308/100000 [1:40:31<18:30:05, 1.38step/s] Training: 8%|▊ | 8309/100000 [1:40:31<18:40:37, 1.36step/s] Training: 8%|▊ | 8310/100000 [1:40:32<18:52:01, 1.35step/s] Training: 8%|▊ | 8311/100000 [1:40:33<17:51:35, 1.43step/s] Training: 8%|▊ | 8312/100000 [1:40:33<17:15:55, 1.48step/s] Training: 8%|▊ | 8313/100000 [1:40:34<16:52:25, 1.51step/s] Training: 8%|▊ | 8314/100000 [1:40:35<17:21:44, 1.47step/s] Training: 8%|▊ | 8315/100000 [1:40:36<17:50:56, 1.43step/s] Training: 8%|▊ | 8316/100000 [1:40:36<18:17:29, 1.39step/s] Training: 8%|▊ | 8317/100000 [1:40:37<18:51:07, 1.35step/s] Training: 8%|▊ | 8318/100000 [1:40:38<18:57:45, 1.34step/s] Training: 8%|▊ | 8319/100000 [1:40:38<17:54:28, 1.42step/s] Training: 8%|▊ | 8320/100000 [1:40:39<17:23:38, 1.46step/s] Training: 8%|▊ | 8321/100000 [1:40:40<17:08:14, 1.49step/s] Training: 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1.55step/s] Training: 8%|▊ | 8339/100000 [1:40:52<17:24:33, 1.46step/s] Training: 8%|▊ | 8340/100000 [1:40:53<17:45:51, 1.43step/s] Training: 8%|▊ | 8341/100000 [1:40:54<18:23:33, 1.38step/s] Training: 8%|▊ | 8342/100000 [1:40:55<18:44:17, 1.36step/s] Training: 8%|▊ | 8343/100000 [1:40:55<17:53:26, 1.42step/s] Training: 8%|▊ | 8344/100000 [1:40:56<17:10:09, 1.48step/s] Training: 8%|▊ | 8345/100000 [1:40:57<16:46:50, 1.52step/s] Training: 8%|▊ | 8346/100000 [1:40:57<16:36:51, 1.53step/s] Training: 8%|▊ | 8347/100000 [1:40:58<17:42:00, 1.44step/s] Training: 8%|▊ | 8348/100000 [1:40:59<18:14:10, 1.40step/s] Training: 8%|▊ | 8349/100000 [1:41:00<18:36:11, 1.37step/s] Training: 8%|▊ | 8350/100000 [1:41:00<18:51:40, 1.35step/s] Training: 8%|▊ | 8351/100000 [1:41:01<17:59:01, 1.42step/s] Training: 8%|▊ | 8352/100000 [1:41:02<17:10:48, 1.48step/s] Training: 8%|▊ | 8353/100000 [1:41:02<16:37:00, 1.53step/s] Training: 8%|▊ | 8354/100000 [1:41:03<16:22:37, 1.55step/s] Training: 8%|▊ | 8355/100000 [1:41:04<17:24:05, 1.46step/s] Training: 8%|▊ | 8356/100000 [1:41:04<18:39:00, 1.36step/s] Training: 8%|▊ | 8357/100000 [1:41:05<19:00:19, 1.34step/s] Training: 8%|▊ | 8358/100000 [1:41:06<18:59:26, 1.34step/s] Training: 8%|▊ | 8359/100000 [1:41:07<18:12:29, 1.40step/s] Training: 8%|▊ | 8360/100000 [1:41:07<17:38:21, 1.44step/s] Training: 8%|▊ | 8361/100000 [1:41:08<17:08:35, 1.48step/s] Training: 8%|▊ | 8362/100000 [1:41:08<16:47:13, 1.52step/s] Training: 8%|▊ | 8363/100000 [1:41:09<17:49:37, 1.43step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=40066 Training: 8%|▊ | 8364/100000 [1:41:10<18:15:34, 1.39step/s] Training: 8%|▊ | 8365/100000 [1:41:11<18:58:49, 1.34step/s] Training: 8%|▊ | 8366/100000 [1:41:12<19:03:36, 1.34step/s] Training: 8%|▊ | 8367/100000 [1:41:12<18:12:23, 1.40step/s] Training: 8%|▊ | 8368/100000 [1:41:13<17:37:03, 1.44step/s] Training: 8%|▊ | 8369/100000 [1:41:13<16:59:16, 1.50step/s] Training: 8%|▊ | 8370/100000 [1:41:14<16:33:12, 1.54step/s] Training: 8%|▊ | 8371/100000 [1:41:15<17:05:54, 1.49step/s] Training: 8%|▊ | 8372/100000 [1:41:16<17:54:35, 1.42step/s] Training: 8%|▊ | 8373/100000 [1:41:16<18:27:35, 1.38step/s] Training: 8%|▊ | 8374/100000 [1:41:17<18:56:25, 1.34step/s] Training: 8%|▊ | 8375/100000 [1:41:18<18:14:01, 1.40step/s] Training: 8%|▊ | 8376/100000 [1:41:18<17:34:48, 1.45step/s] Training: 8%|▊ | 8377/100000 [1:41:19<16:58:30, 1.50step/s] Training: 8%|▊ | 8378/100000 [1:41:20<16:46:51, 1.52step/s] Training: 8%|▊ | 8379/100000 [1:41:20<17:45:32, 1.43step/s] Training: 8%|▊ | 8380/100000 [1:41:21<18:26:58, 1.38step/s] Training: 8%|▊ | 8381/100000 [1:41:22<18:49:38, 1.35step/s] Training: 8%|▊ | 8382/100000 [1:41:23<18:50:36, 1.35step/s] Training: 8%|▊ | 8383/100000 [1:41:23<18:06:23, 1.41step/s] Training: 8%|▊ | 8384/100000 [1:41:24<17:16:18, 1.47step/s] Training: 8%|▊ | 8385/100000 [1:41:25<17:08:27, 1.48step/s] Training: 8%|▊ | 8386/100000 [1:41:25<16:49:17, 1.51step/s] Training: 8%|▊ | 8387/100000 [1:41:26<17:31:14, 1.45step/s] Training: 8%|▊ | 8388/100000 [1:41:27<18:11:09, 1.40step/s] Training: 8%|▊ | 8389/100000 [1:41:28<18:41:09, 1.36step/s] Training: 8%|▊ | 8390/100000 [1:41:28<18:49:04, 1.35step/s] Training: 8%|▊ | 8391/100000 [1:41:29<17:57:37, 1.42step/s] Training: 8%|▊ | 8392/100000 [1:41:30<17:18:06, 1.47step/s] Training: 8%|▊ | 8393/100000 [1:41:30<16:49:50, 1.51step/s] Training: 8%|▊ | 8394/100000 [1:41:31<16:33:28, 1.54step/s] Training: 8%|▊ | 8395/100000 [1:41:32<17:01:55, 1.49step/s] Training: 8%|▊ | 8396/100000 [1:41:32<17:43:52, 1.44step/s] Training: 8%|▊ | 8397/100000 [1:41:33<18:27:05, 1.38step/s] Training: 8%|▊ | 8398/100000 [1:41:34<18:51:01, 1.35step/s] Training: 8%|▊ | 8399/100000 [1:41:34<17:57:41, 1.42step/s] Training: 8%|▊ | 8400/100000 [1:41:35<17:21:06, 1.47step/s]INFO 2026-03-12 05:03:51 ot_train.py:435 step:8K smpl:538K ep:2K epch:7.12 loss:0.349 grdn:11.543 lr:2.0e-05 updt_s:0.686 data_s:0.012 Training: 8%|▊ | 8401/100000 [1:41:36<16:57:48, 1.50step/s] Training: 8%|▊ | 8402/100000 [1:41:36<16:39:32, 1.53step/s] Training: 8%|▊ | 8403/100000 [1:41:37<17:01:50, 1.49step/s] Training: 8%|▊ | 8404/100000 [1:41:38<17:55:09, 1.42step/s] Training: 8%|▊ | 8405/100000 [1:41:39<18:07:08, 1.40step/s] Training: 8%|▊ | 8406/100000 [1:41:39<18:33:33, 1.37step/s] Training: 8%|▊ | 8407/100000 [1:41:40<17:45:38, 1.43step/s] Training: 8%|▊ | 8408/100000 [1:41:41<17:02:42, 1.49step/s] Training: 8%|▊ | 8409/100000 [1:41:41<16:31:29, 1.54step/s] Training: 8%|▊ | 8410/100000 [1:41:42<16:20:26, 1.56step/s] Training: 8%|▊ | 8411/100000 [1:41:43<17:17:52, 1.47step/s] Training: 8%|▊ | 8412/100000 [1:41:43<17:58:17, 1.42step/s] Training: 8%|▊ | 8413/100000 [1:41:44<18:30:28, 1.37step/s] Training: 8%|▊ | 8414/100000 [1:41:45<18:43:47, 1.36step/s] Training: 8%|▊ | 8415/100000 [1:41:46<17:54:52, 1.42step/s] Training: 8%|▊ | 8416/100000 [1:41:46<17:17:53, 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[1:42:33<17:26:52, 1.46step/s] Training: 8%|▊ | 8484/100000 [1:42:34<18:08:05, 1.40step/s] Training: 8%|▊ | 8485/100000 [1:42:34<18:44:01, 1.36step/s] Training: 8%|▊ | 8486/100000 [1:42:35<18:44:47, 1.36step/s] Training: 8%|▊ | 8487/100000 [1:42:36<19:09:20, 1.33step/s] Training: 8%|▊ | 8488/100000 [1:42:37<18:08:42, 1.40step/s] Training: 8%|▊ | 8489/100000 [1:42:37<17:30:42, 1.45step/s] Training: 8%|▊ | 8490/100000 [1:42:38<16:52:51, 1.51step/s] Training: 8%|▊ | 8491/100000 [1:42:39<17:13:33, 1.48step/s] Training: 8%|▊ | 8492/100000 [1:42:39<17:50:35, 1.42step/s] Training: 8%|▊ | 8493/100000 [1:42:40<18:23:19, 1.38step/s] Training: 8%|▊ | 8494/100000 [1:42:41<18:18:15, 1.39step/s] Training: 8%|▊ | 8495/100000 [1:42:42<18:36:21, 1.37step/s] Training: 8%|▊ | 8496/100000 [1:42:42<17:48:33, 1.43step/s] Training: 8%|▊ | 8497/100000 [1:42:43<17:23:47, 1.46step/s] Training: 8%|▊ | 8498/100000 [1:42:43<17:01:05, 1.49step/s] Training: 8%|▊ | 8499/100000 [1:42:44<17:45:21, 1.43step/s] Training: 8%|▊ | 8500/100000 [1:42:45<18:17:03, 1.39step/s]INFO 2026-03-12 05:05:01 ot_train.py:435 step:8K smpl:544K ep:2K epch:7.20 loss:0.365 grdn:11.273 lr:2.0e-05 updt_s:0.684 data_s:0.012 Training: 9%|▊ | 8501/100000 [1:42:46<18:33:43, 1.37step/s] Training: 9%|▊ | 8502/100000 [1:42:47<19:05:27, 1.33step/s] Training: 9%|▊ | 8503/100000 [1:42:47<19:33:03, 1.30step/s] Training: 9%|▊ | 8504/100000 [1:42:48<18:18:59, 1.39step/s] Training: 9%|▊ | 8505/100000 [1:42:49<17:36:14, 1.44step/s] Training: 9%|▊ | 8506/100000 [1:42:49<17:09:31, 1.48step/s] Training: 9%|▊ | 8507/100000 [1:42:50<17:56:17, 1.42step/s] Training: 9%|▊ | 8508/100000 [1:42:51<18:27:18, 1.38step/s] Training: 9%|▊ | 8509/100000 [1:42:52<18:59:14, 1.34step/s] Training: 9%|▊ | 8510/100000 [1:42:52<19:12:22, 1.32step/s] Training: 9%|▊ | 8511/100000 [1:42:53<19:42:07, 1.29step/s] Training: 9%|▊ | 8512/100000 [1:42:54<18:23:17, 1.38step/s] Training: 9%|▊ | 8513/100000 [1:42:54<17:39:29, 1.44step/s] Training: 9%|▊ | 8514/100000 [1:42:55<17:05:34, 1.49step/s] Training: 9%|▊ | 8515/100000 [1:42:56<17:58:09, 1.41step/s] Training: 9%|▊ | 8516/100000 [1:42:57<18:28:00, 1.38step/s] Training: 9%|▊ | 8517/100000 [1:42:57<18:53:51, 1.34step/s] Training: 9%|▊ | 8518/100000 [1:42:58<19:01:07, 1.34step/s] Training: 9%|▊ | 8519/100000 [1:42:59<17:57:30, 1.42step/s] Training: 9%|▊ | 8520/100000 [1:42:59<18:35:04, 1.37step/s] Training: 9%|▊ | 8521/100000 [1:43:00<17:35:13, 1.44step/s] Training: 9%|▊ | 8522/100000 [1:43:01<16:54:28, 1.50step/s] Training: 9%|▊ | 8523/100000 [1:43:01<17:16:21, 1.47step/s] Training: 9%|▊ | 8524/100000 [1:43:02<17:55:00, 1.42step/s] Training: 9%|▊ | 8525/100000 [1:43:03<18:23:22, 1.38step/s] Training: 9%|▊ | 8526/100000 [1:43:04<18:17:19, 1.39step/s] Training: 9%|▊ | 8527/100000 [1:43:04<17:24:34, 1.46step/s] Training: 9%|▊ | 8528/100000 [1:43:05<18:07:04, 1.40step/s] Training: 9%|▊ | 8529/100000 [1:43:06<17:17:36, 1.47step/s] Training: 9%|▊ | 8530/100000 [1:43:06<16:57:02, 1.50step/s] Training: 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1.44step/s] Training: 9%|▊ | 8548/100000 [1:43:19<18:02:12, 1.41step/s] Training: 9%|▊ | 8549/100000 [1:43:20<18:43:24, 1.36step/s] Training: 9%|▊ | 8550/100000 [1:43:21<18:56:12, 1.34step/s] Training: 9%|▊ | 8551/100000 [1:43:21<18:00:20, 1.41step/s] Training: 9%|▊ | 8552/100000 [1:43:22<18:10:01, 1.40step/s] Training: 9%|▊ | 8553/100000 [1:43:23<17:26:51, 1.46step/s] Training: 9%|▊ | 8554/100000 [1:43:23<16:51:24, 1.51step/s] Training: 9%|▊ | 8555/100000 [1:43:24<17:15:20, 1.47step/s] Training: 9%|▊ | 8556/100000 [1:43:25<17:46:09, 1.43step/s] Training: 9%|▊ | 8557/100000 [1:43:26<18:37:24, 1.36step/s] Training: 9%|▊ | 8558/100000 [1:43:26<18:28:36, 1.37step/s] Training: 9%|▊ | 8559/100000 [1:43:27<17:42:09, 1.43step/s] Training: 9%|▊ | 8560/100000 [1:43:28<17:17:32, 1.47step/s] Training: 9%|▊ | 8561/100000 [1:43:28<18:27:28, 1.38step/s] Training: 9%|▊ | 8562/100000 [1:43:29<17:37:02, 1.44step/s] Training: 9%|▊ | 8563/100000 [1:43:30<17:49:26, 1.43step/s] Training: 9%|▊ | 8564/100000 [1:43:31<18:25:53, 1.38step/s] Training: 9%|▊ | 8565/100000 [1:43:31<18:53:02, 1.34step/s] Training: 9%|▊ | 8566/100000 [1:43:32<19:12:54, 1.32step/s] Training: 9%|▊ | 8567/100000 [1:43:33<18:17:33, 1.39step/s] Training: 9%|▊ | 8568/100000 [1:43:33<17:28:49, 1.45step/s] Training: 9%|▊ | 8569/100000 [1:43:34<18:08:17, 1.40step/s] Training: 9%|▊ | 8570/100000 [1:43:35<17:25:20, 1.46step/s] Training: 9%|▊ | 8571/100000 [1:43:35<17:59:34, 1.41step/s] Training: 9%|▊ | 8572/100000 [1:43:36<18:22:39, 1.38step/s] Training: 9%|▊ | 8573/100000 [1:43:37<19:01:44, 1.33step/s] Training: 9%|▊ | 8574/100000 [1:43:38<19:19:30, 1.31step/s] Training: 9%|▊ | 8575/100000 [1:43:38<18:18:59, 1.39step/s] Training: 9%|▊ | 8576/100000 [1:43:39<17:29:40, 1.45step/s] Training: 9%|▊ | 8577/100000 [1:43:40<18:09:28, 1.40step/s] Training: 9%|▊ | 8578/100000 [1:43:40<17:27:26, 1.45step/s] Training: 9%|▊ | 8579/100000 [1:43:41<18:00:56, 1.41step/s] Training: 9%|▊ | 8580/100000 [1:43:42<18:26:53, 1.38step/s] Training: 9%|▊ | 8581/100000 [1:43:43<18:47:08, 1.35step/s] Training: 9%|▊ | 8582/100000 [1:43:44<18:50:55, 1.35step/s] Training: 9%|▊ | 8583/100000 [1:43:44<17:47:34, 1.43step/s] Training: 9%|▊ | 8584/100000 [1:43:45<17:02:12, 1.49step/s] Training: 9%|▊ | 8585/100000 [1:43:45<16:47:03, 1.51step/s] Training: 9%|▊ | 8586/100000 [1:43:46<18:01:46, 1.41step/s] Training: 9%|▊ | 8587/100000 [1:43:47<18:07:54, 1.40step/s] Training: 9%|▊ | 8588/100000 [1:43:48<18:26:17, 1.38step/s] Training: 9%|▊ | 8589/100000 [1:43:48<18:55:48, 1.34step/s] Training: 9%|▊ | 8590/100000 [1:43:49<18:46:06, 1.35step/s] Training: 9%|▊ | 8591/100000 [1:43:50<17:47:20, 1.43step/s] Training: 9%|▊ | 8592/100000 [1:43:50<17:02:46, 1.49step/s] Training: 9%|▊ | 8593/100000 [1:43:51<16:44:06, 1.52step/s] Training: 9%|▊ | 8594/100000 [1:43:52<17:39:23, 1.44step/s] Training: 9%|▊ | 8595/100000 [1:43:53<17:50:11, 1.42step/s] Training: 9%|▊ | 8596/100000 [1:43:53<18:20:13, 1.38step/s] Training: 9%|▊ | 8597/100000 [1:43:54<19:05:27, 1.33step/s] Training: 9%|▊ | 8598/100000 [1:43:55<19:09:53, 1.32step/s] Training: 9%|▊ | 8599/100000 [1:43:56<18:14:13, 1.39step/s] Training: 9%|▊ | 8600/100000 [1:43:56<17:32:06, 1.45step/s]INFO 2026-03-12 05:06:12 ot_train.py:435 step:9K smpl:550K ep:2K epch:7.29 loss:0.378 grdn:11.709 lr:2.0e-05 updt_s:0.698 data_s:0.012 Training: 9%|▊ | 8601/100000 [1:43:57<17:02:42, 1.49step/s] Training: 9%|▊ | 8602/100000 [1:43:58<17:39:35, 1.44step/s] Training: 9%|▊ | 8603/100000 [1:43:58<17:55:53, 1.42step/s] Training: 9%|▊ | 8604/100000 [1:43:59<18:12:24, 1.39step/s] Training: 9%|▊ | 8605/100000 [1:44:00<18:36:16, 1.36step/s] Training: 9%|▊ | 8606/100000 [1:44:01<18:46:55, 1.35step/s] Training: 9%|▊ | 8607/100000 [1:44:01<17:54:34, 1.42step/s] Training: 9%|▊ | 8608/100000 [1:44:02<17:16:44, 1.47step/s] Training: 9%|▊ | 8609/100000 [1:44:02<16:51:11, 1.51step/s] Training: 9%|▊ | 8610/100000 [1:44:03<17:18:50, 1.47step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=45460 Training: 9%|▊ | 8611/100000 [1:44:04<17:50:26, 1.42step/s] Training: 9%|▊ | 8612/100000 [1:44:05<18:24:49, 1.38step/s] Training: 9%|▊ | 8613/100000 [1:44:05<18:52:14, 1.35step/s] Training: 9%|▊ | 8614/100000 [1:44:06<18:56:06, 1.34step/s] Training: 9%|▊ | 8615/100000 [1:44:07<17:51:14, 1.42step/s] Training: 9%|▊ | 8616/100000 [1:44:07<17:04:13, 1.49step/s] Training: 9%|▊ | 8617/100000 [1:44:08<16:32:41, 1.53step/s] Training: 9%|▊ | 8618/100000 [1:44:09<17:22:37, 1.46step/s] Training: 9%|▊ | 8619/100000 [1:44:10<17:53:41, 1.42step/s] Training: 9%|▊ | 8620/100000 [1:44:10<18:24:34, 1.38step/s] Training: 9%|▊ | 8621/100000 [1:44:11<18:56:54, 1.34step/s] Training: 9%|▊ | 8622/100000 [1:44:12<18:38:42, 1.36step/s] Training: 9%|▊ | 8623/100000 [1:44:12<17:56:32, 1.41step/s] Training: 9%|▊ | 8624/100000 [1:44:13<17:21:58, 1.46step/s] Training: 9%|▊ | 8625/100000 [1:44:14<17:03:35, 1.49step/s] Training: 9%|▊ | 8626/100000 [1:44:14<16:48:55, 1.51step/s] Training: 9%|▊ | 8627/100000 [1:44:15<18:22:38, 1.38step/s] Training: 9%|▊ | 8628/100000 [1:44:16<18:30:42, 1.37step/s] Training: 9%|▊ | 8629/100000 [1:44:17<18:54:57, 1.34step/s] Training: 9%|▊ | 8630/100000 [1:44:18<19:18:44, 1.31step/s] Training: 9%|▊ | 8631/100000 [1:44:18<18:08:24, 1.40step/s] Training: 9%|▊ | 8632/100000 [1:44:19<17:22:37, 1.46step/s] Training: 9%|▊ | 8633/100000 [1:44:19<17:02:23, 1.49step/s] Training: 9%|▊ | 8634/100000 [1:44:20<16:40:03, 1.52step/s] Training: 9%|▊ | 8635/100000 [1:44:21<17:38:03, 1.44step/s] Training: 9%|▊ | 8636/100000 [1:44:22<18:13:05, 1.39step/s] Training: 9%|▊ | 8637/100000 [1:44:22<18:53:27, 1.34step/s] Training: 9%|▊ | 8638/100000 [1:44:23<19:14:20, 1.32step/s] Training: 9%|▊ | 8639/100000 [1:44:24<18:14:46, 1.39step/s] Training: 9%|▊ | 8640/100000 [1:44:24<17:40:52, 1.44step/s] Training: 9%|▊ | 8641/100000 [1:44:25<17:11:37, 1.48step/s] Training: 9%|▊ | 8642/100000 [1:44:26<16:49:23, 1.51step/s] Training: 9%|▊ | 8643/100000 [1:44:26<17:36:49, 1.44step/s] Training: 9%|▊ | 8644/100000 [1:44:27<18:49:16, 1.35step/s] Training: 9%|▊ | 8645/100000 [1:44:28<19:02:38, 1.33step/s] Training: 9%|▊ | 8646/100000 [1:44:29<19:15:39, 1.32step/s] Training: 9%|▊ | 8647/100000 [1:44:30<18:20:12, 1.38step/s] Training: 9%|▊ | 8648/100000 [1:44:30<17:25:01, 1.46step/s] Training: 9%|▊ | 8649/100000 [1:44:31<16:47:49, 1.51step/s] Training: 9%|▊ | 8650/100000 [1:44:31<16:19:43, 1.55step/s] Training: 9%|▊ | 8651/100000 [1:44:32<17:32:24, 1.45step/s] Training: 9%|▊ | 8652/100000 [1:44:33<18:07:31, 1.40step/s] Training: 9%|▊ | 8653/100000 [1:44:34<18:37:50, 1.36step/s] Training: 9%|▊ | 8654/100000 [1:44:34<18:25:17, 1.38step/s] Training: 9%|▊ | 8655/100000 [1:44:35<17:39:36, 1.44step/s] Training: 9%|▊ | 8656/100000 [1:44:36<17:11:44, 1.48step/s] Training: 9%|▊ | 8657/100000 [1:44:36<16:55:10, 1.50step/s] Training: 9%|▊ | 8658/100000 [1:44:37<16:28:27, 1.54step/s] Training: 9%|▊ | 8659/100000 [1:44:38<17:12:30, 1.47step/s] Training: 9%|▊ | 8660/100000 [1:44:38<17:56:33, 1.41step/s] Training: 9%|▊ | 8661/100000 [1:44:39<18:03:09, 1.41step/s] Training: 9%|▊ | 8662/100000 [1:44:40<18:13:46, 1.39step/s] Training: 9%|▊ | 8663/100000 [1:44:40<17:31:00, 1.45step/s] Training: 9%|▊ | 8664/100000 [1:44:41<17:01:59, 1.49step/s] Training: 9%|▊ | 8665/100000 [1:44:42<16:40:34, 1.52step/s] Training: 9%|▊ | 8666/100000 [1:44:42<16:26:00, 1.54step/s] Training: 9%|▊ | 8667/100000 [1:44:43<17:21:56, 1.46step/s] Training: 9%|▊ | 8668/100000 [1:44:44<18:13:05, 1.39step/s] Training: 9%|▊ | 8669/100000 [1:44:45<18:32:30, 1.37step/s] Training: 9%|▊ | 8670/100000 [1:44:45<18:49:50, 1.35step/s] Training: 9%|▊ | 8671/100000 [1:44:46<17:58:57, 1.41step/s] Training: 9%|▊ | 8672/100000 [1:44:47<17:20:35, 1.46step/s] Training: 9%|▊ | 8673/100000 [1:44:47<16:54:11, 1.50step/s] Training: 9%|▊ | 8674/100000 [1:44:48<16:35:08, 1.53step/s] Training: 9%|▊ | 8675/100000 [1:44:49<17:18:20, 1.47step/s] Training: 9%|▊ | 8676/100000 [1:44:49<18:02:24, 1.41step/s] Training: 9%|▊ | 8677/100000 [1:44:50<18:34:03, 1.37step/s] Training: 9%|▊ | 8678/100000 [1:44:51<18:43:07, 1.36step/s] Training: 9%|▊ | 8679/100000 [1:44:52<17:42:04, 1.43step/s] Training: 9%|▊ | 8680/100000 [1:44:52<16:57:50, 1.50step/s] Training: 9%|▊ | 8681/100000 [1:44:53<16:27:45, 1.54step/s] Training: 9%|▊ | 8682/100000 [1:44:53<16:06:46, 1.57step/s] Training: 9%|▊ | 8683/100000 [1:44:54<17:11:18, 1.48step/s] Training: 9%|▊ | 8684/100000 [1:44:55<17:51:17, 1.42step/s] Training: 9%|▊ | 8685/100000 [1:44:56<18:09:23, 1.40step/s] Training: 9%|▊ | 8686/100000 [1:44:56<18:10:58, 1.39step/s] Training: 9%|▊ | 8687/100000 [1:44:57<17:29:02, 1.45step/s] Training: 9%|▊ | 8688/100000 [1:44:58<17:00:20, 1.49step/s] Training: 9%|▊ | 8689/100000 [1:44:58<16:31:32, 1.53step/s] Training: 9%|▊ | 8690/100000 [1:44:59<16:13:30, 1.56step/s] Training: 9%|▊ | 8691/100000 [1:45:00<16:49:44, 1.51step/s] Training: 9%|▊ | 8692/100000 [1:45:00<17:40:58, 1.43step/s] Training: 9%|▊ | 8693/100000 [1:45:01<18:18:32, 1.39step/s] Training: 9%|▊ | 8694/100000 [1:45:02<18:40:55, 1.36step/s] Training: 9%|▊ | 8695/100000 [1:45:03<17:45:08, 1.43step/s] Training: 9%|▊ | 8696/100000 [1:45:03<17:13:19, 1.47step/s] Training: 9%|▊ | 8697/100000 [1:45:04<16:52:35, 1.50step/s] Training: 9%|▊ | 8698/100000 [1:45:04<16:26:42, 1.54step/s] Training: 9%|▊ | 8699/100000 [1:45:05<17:12:14, 1.47step/s] Training: 9%|▊ | 8700/100000 [1:45:06<17:42:47, 1.43step/s]INFO 2026-03-12 05:07:22 ot_train.py:435 step:9K smpl:557K ep:2K epch:7.37 loss:0.388 grdn:11.848 lr:2.0e-05 updt_s:0.684 data_s:0.012 Training: 9%|▊ | 8701/100000 [1:45:07<18:26:43, 1.37step/s] Training: 9%|▊ | 8702/100000 [1:45:08<18:49:41, 1.35step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=11445 Training: 9%|▊ | 8703/100000 [1:45:08<18:01:23, 1.41step/s] Training: 9%|▊ | 8704/100000 [1:45:09<17:26:40, 1.45step/s] Training: 9%|▊ | 8705/100000 [1:45:09<17:06:48, 1.48step/s] Training: 9%|▊ | 8706/100000 [1:45:10<16:38:31, 1.52step/s] Training: 9%|▊ | 8707/100000 [1:45:11<17:28:31, 1.45step/s] Training: 9%|▊ | 8708/100000 [1:45:12<18:08:42, 1.40step/s] Training: 9%|▊ | 8709/100000 [1:45:12<18:42:39, 1.36step/s] Training: 9%|▊ | 8710/100000 [1:45:13<18:59:40, 1.34step/s] Training: 9%|▊ | 8711/100000 [1:45:14<18:03:36, 1.40step/s] Training: 9%|▊ | 8712/100000 [1:45:14<17:29:00, 1.45step/s] Training: 9%|▊ | 8713/100000 [1:45:15<16:51:06, 1.50step/s] Training: 9%|▊ | 8714/100000 [1:45:16<16:32:42, 1.53step/s] Training: 9%|▊ | 8715/100000 [1:45:16<16:54:53, 1.50step/s] Training: 9%|▊ | 8716/100000 [1:45:17<17:36:36, 1.44step/s] Training: 9%|▊ | 8717/100000 [1:45:18<18:28:07, 1.37step/s] Training: 9%|▊ | 8718/100000 [1:45:19<18:10:48, 1.39step/s] Training: 9%|▊ | 8719/100000 [1:45:19<17:29:13, 1.45step/s] Training: 9%|▊ | 8720/100000 [1:45:20<16:51:21, 1.50step/s] Training: 9%|▊ | 8721/100000 [1:45:20<16:33:33, 1.53step/s] Training: 9%|▊ | 8722/100000 [1:45:21<16:13:22, 1.56step/s] Training: 9%|▊ | 8723/100000 [1:45:22<16:54:21, 1.50step/s] Training: 9%|▊ | 8724/100000 [1:45:23<17:27:41, 1.45step/s] Training: 9%|▊ | 8725/100000 [1:45:23<18:08:23, 1.40step/s] Training: 9%|▊ | 8726/100000 [1:45:24<18:42:42, 1.35step/s] Training: 9%|▊ | 8727/100000 [1:45:25<17:59:38, 1.41step/s] Training: 9%|▊ | 8728/100000 [1:45:25<17:21:52, 1.46step/s] Training: 9%|▊ | 8729/100000 [1:45:26<16:50:43, 1.51step/s] Training: 9%|▊ | 8730/100000 [1:45:27<16:23:19, 1.55step/s] Training: 9%|▊ | 8731/100000 [1:45:27<17:28:05, 1.45step/s] Training: 9%|▊ | 8732/100000 [1:45:28<17:56:40, 1.41step/s] Training: 9%|▊ | 8733/100000 [1:45:29<18:20:53, 1.38step/s] Training: 9%|▊ | 8734/100000 [1:45:30<18:44:58, 1.35step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=4949 Training: 9%|▊ | 8735/100000 [1:45:30<17:49:54, 1.42step/s] Training: 9%|▊ | 8736/100000 [1:45:31<17:03:54, 1.49step/s] Training: 9%|▊ | 8737/100000 [1:45:32<16:46:00, 1.51step/s] Training: 9%|▊ | 8738/100000 [1:45:32<16:29:51, 1.54step/s] Training: 9%|▊ | 8739/100000 [1:45:33<17:15:28, 1.47step/s] Training: 9%|▊ | 8740/100000 [1:45:34<18:05:59, 1.40step/s] Training: 9%|▊ | 8741/100000 [1:45:34<18:40:21, 1.36step/s] Training: 9%|▊ | 8742/100000 [1:45:35<19:23:17, 1.31step/s] Training: 9%|▊ | 8743/100000 [1:45:36<18:33:21, 1.37step/s] Training: 9%|▊ | 8744/100000 [1:45:37<17:44:56, 1.43step/s] Training: 9%|▊ | 8745/100000 [1:45:37<17:13:23, 1.47step/s] Training: 9%|▊ | 8746/100000 [1:45:38<16:49:32, 1.51step/s] Training: 9%|▊ | 8747/100000 [1:45:39<17:11:30, 1.47step/s] Training: 9%|▊ | 8748/100000 [1:45:39<17:49:47, 1.42step/s] Training: 9%|▊ | 8749/100000 [1:45:40<18:31:39, 1.37step/s] Training: 9%|▉ | 8750/100000 [1:45:41<19:03:23, 1.33step/s] Training: 9%|▉ | 8751/100000 [1:45:42<18:04:06, 1.40step/s] Training: 9%|▉ | 8752/100000 [1:45:42<17:16:17, 1.47step/s] Training: 9%|▉ | 8753/100000 [1:45:43<17:01:05, 1.49step/s] Training: 9%|▉ | 8754/100000 [1:45:43<16:42:01, 1.52step/s] Training: 9%|▉ | 8755/100000 [1:45:44<17:18:23, 1.46step/s] Training: 9%|▉ | 8756/100000 [1:45:45<17:59:01, 1.41step/s] Training: 9%|▉ | 8757/100000 [1:45:46<18:31:21, 1.37step/s] Training: 9%|▉ | 8758/100000 [1:45:47<19:00:56, 1.33step/s] Training: 9%|▉ | 8759/100000 [1:45:47<18:10:19, 1.39step/s] Training: 9%|▉ | 8760/100000 [1:45:48<17:20:06, 1.46step/s] Training: 9%|▉ | 8761/100000 [1:45:48<16:47:02, 1.51step/s] Training: 9%|▉ | 8762/100000 [1:45:49<16:34:42, 1.53step/s] Training: 9%|▉ | 8763/100000 [1:45:50<17:36:06, 1.44step/s] Training: 9%|▉ | 8764/100000 [1:45:51<18:08:30, 1.40step/s] Training: 9%|▉ | 8765/100000 [1:45:51<18:41:26, 1.36step/s] Training: 9%|▉ | 8766/100000 [1:45:52<19:12:43, 1.32step/s] Training: 9%|▉ | 8767/100000 [1:45:53<18:23:22, 1.38step/s] Training: 9%|▉ | 8768/100000 [1:45:53<17:41:45, 1.43step/s] Training: 9%|▉ | 8769/100000 [1:45:54<17:08:09, 1.48step/s] Training: 9%|▉ | 8770/100000 [1:45:55<16:46:06, 1.51step/s] Training: 9%|▉ | 8771/100000 [1:45:55<17:23:46, 1.46step/s] Training: 9%|▉ | 8772/100000 [1:45:56<18:10:35, 1.39step/s] Training: 9%|▉ | 8773/100000 [1:45:57<18:34:44, 1.36step/s] Training: 9%|▉ | 8774/100000 [1:45:58<18:55:05, 1.34step/s] Training: 9%|▉ | 8775/100000 [1:45:59<19:11:18, 1.32step/s] Training: 9%|▉ | 8776/100000 [1:45:59<18:12:00, 1.39step/s] Training: 9%|▉ | 8777/100000 [1:46:00<17:29:54, 1.45step/s] Training: 9%|▉ | 8778/100000 [1:46:00<17:01:57, 1.49step/s] Training: 9%|▉ | 8779/100000 [1:46:01<17:41:04, 1.43step/s] Training: 9%|▉ | 8780/100000 [1:46:02<18:14:22, 1.39step/s] Training: 9%|▉ | 8781/100000 [1:46:03<18:28:31, 1.37step/s] Training: 9%|▉ | 8782/100000 [1:46:03<18:26:35, 1.37step/s] Training: 9%|▉ | 8783/100000 [1:46:04<19:14:16, 1.32step/s] Training: 9%|▉ | 8784/100000 [1:46:05<18:14:24, 1.39step/s] Training: 9%|▉ | 8785/100000 [1:46:06<17:26:38, 1.45step/s] Training: 9%|▉ | 8786/100000 [1:46:06<16:46:57, 1.51step/s] Training: 9%|▉ | 8787/100000 [1:46:07<17:16:30, 1.47step/s] Training: 9%|▉ | 8788/100000 [1:46:08<17:49:35, 1.42step/s] Training: 9%|▉ | 8789/100000 [1:46:08<18:14:07, 1.39step/s] Training: 9%|▉ | 8790/100000 [1:46:09<17:21:44, 1.46step/s] Training: 9%|▉ | 8791/100000 [1:46:10<18:17:06, 1.39step/s] Training: 9%|▉ | 8792/100000 [1:46:10<17:22:32, 1.46step/s] Training: 9%|▉ | 8793/100000 [1:46:11<16:54:37, 1.50step/s] Training: 9%|▉ | 8794/100000 [1:46:12<16:36:12, 1.53step/s] Training: 9%|▉ | 8795/100000 [1:46:12<17:35:39, 1.44step/s] Training: 9%|▉ | 8796/100000 [1:46:13<18:00:51, 1.41step/s] Training: 9%|▉ | 8797/100000 [1:46:14<18:47:01, 1.35step/s] Training: 9%|▉ | 8798/100000 [1:46:15<19:02:03, 1.33step/s] Training: 9%|▉ | 8799/100000 [1:46:15<18:03:38, 1.40step/s] Training: 9%|▉ | 8800/100000 [1:46:16<18:49:31, 1.35step/s]INFO 2026-03-12 05:08:32 ot_train.py:435 step:9K smpl:563K ep:2K epch:7.46 loss:0.363 grdn:11.694 lr:2.0e-05 updt_s:0.688 data_s:0.012 Training: 9%|▉ | 8801/100000 [1:46:17<17:55:42, 1.41step/s] Training: 9%|▉ | 8802/100000 [1:46:17<17:17:50, 1.46step/s] Training: 9%|▉ | 8803/100000 [1:46:18<17:52:08, 1.42step/s] Training: 9%|▉ | 8804/100000 [1:46:19<18:27:15, 1.37step/s] Training: 9%|▉ | 8805/100000 [1:46:20<18:49:01, 1.35step/s] Training: 9%|▉ | 8806/100000 [1:46:20<18:31:26, 1.37step/s] Training: 9%|▉ | 8807/100000 [1:46:21<17:43:36, 1.43step/s] Training: 9%|▉ | 8808/100000 [1:46:22<18:18:32, 1.38step/s] Training: 9%|▉ | 8809/100000 [1:46:22<17:31:41, 1.45step/s] Training: 9%|▉ | 8810/100000 [1:46:23<17:00:06, 1.49step/s] Training: 9%|▉ | 8811/100000 [1:46:24<17:22:14, 1.46step/s] Training: 9%|▉ | 8812/100000 [1:46:25<17:58:13, 1.41step/s] Training: 9%|▉ | 8813/100000 [1:46:25<18:24:14, 1.38step/s] Training: 9%|▉ | 8814/100000 [1:46:26<18:26:45, 1.37step/s] Training: 9%|▉ | 8815/100000 [1:46:27<17:31:34, 1.45step/s] Training: 9%|▉ | 8816/100000 [1:46:27<17:56:48, 1.41step/s] Training: 9%|▉ | 8817/100000 [1:46:28<17:27:41, 1.45step/s] Training: 9%|▉ | 8818/100000 [1:46:29<17:03:31, 1.48step/s] Training: 9%|▉ | 8819/100000 [1:46:29<17:38:40, 1.44step/s] Training: 9%|▉ | 8820/100000 [1:46:30<18:24:30, 1.38step/s] Training: 9%|▉ | 8821/100000 [1:46:31<18:39:30, 1.36step/s] Training: 9%|▉ | 8822/100000 [1:46:32<17:52:18, 1.42step/s] Training: 9%|▉ | 8823/100000 [1:46:32<18:18:40, 1.38step/s] Training: 9%|▉ | 8824/100000 [1:46:33<18:26:45, 1.37step/s] Training: 9%|▉ | 8825/100000 [1:46:34<17:45:10, 1.43step/s] Training: 9%|▉ | 8826/100000 [1:46:34<17:17:00, 1.47step/s] Training: 9%|▉ | 8827/100000 [1:46:35<18:05:44, 1.40step/s] Training: 9%|▉ | 8828/100000 [1:46:36<18:21:47, 1.38step/s] Training: 9%|▉ | 8829/100000 [1:46:37<18:52:17, 1.34step/s] Training: 9%|▉ | 8830/100000 [1:46:38<19:11:45, 1.32step/s] Training: 9%|▉ | 8831/100000 [1:46:38<18:02:35, 1.40step/s] Training: 9%|▉ | 8832/100000 [1:46:39<18:18:46, 1.38step/s] Training: 9%|▉ | 8833/100000 [1:46:40<17:24:18, 1.45step/s] Training: 9%|▉ | 8834/100000 [1:46:40<17:01:50, 1.49step/s] Training: 9%|▉ | 8835/100000 [1:46:41<17:56:32, 1.41step/s] Training: 9%|▉ | 8836/100000 [1:46:42<18:25:37, 1.37step/s] Training: 9%|▉ | 8837/100000 [1:46:43<18:58:54, 1.33step/s] Training: 9%|▉ | 8838/100000 [1:46:43<18:37:39, 1.36step/s] Training: 9%|▉ | 8839/100000 [1:46:44<17:37:35, 1.44step/s] Training: 9%|▉ | 8840/100000 [1:46:44<16:55:11, 1.50step/s] Training: 9%|▉ | 8841/100000 [1:46:45<17:51:30, 1.42step/s] Training: 9%|▉ | 8842/100000 [1:46:46<17:11:37, 1.47step/s] Training: 9%|▉ | 8843/100000 [1:46:47<17:24:32, 1.45step/s] Training: 9%|▉ | 8844/100000 [1:46:47<17:55:04, 1.41step/s] Training: 9%|▉ | 8845/100000 [1:46:48<18:10:16, 1.39step/s] Training: 9%|▉ | 8846/100000 [1:46:49<18:19:29, 1.38step/s] Training: 9%|▉ | 8847/100000 [1:46:49<17:34:25, 1.44step/s] Training: 9%|▉ | 8848/100000 [1:46:50<17:05:17, 1.48step/s] Training: 9%|▉ | 8849/100000 [1:46:51<17:33:34, 1.44step/s] Training: 9%|▉ | 8850/100000 [1:46:51<17:00:46, 1.49step/s] Training: 9%|▉ | 8851/100000 [1:46:52<17:13:18, 1.47step/s] Training: 9%|▉ | 8852/100000 [1:46:53<17:47:34, 1.42step/s] Training: 9%|▉ | 8853/100000 [1:46:54<18:17:13, 1.38step/s] Training: 9%|▉ | 8854/100000 [1:46:54<17:27:12, 1.45step/s] Training: 9%|▉ | 8855/100000 [1:46:55<18:05:55, 1.40step/s] Training: 9%|▉ | 8856/100000 [1:46:56<17:25:09, 1.45step/s] Training: 9%|▉ | 8857/100000 [1:46:56<16:59:16, 1.49step/s] Training: 9%|▉ | 8858/100000 [1:46:57<17:51:01, 1.42step/s] Training: 9%|▉ | 8859/100000 [1:46:58<18:07:22, 1.40step/s] Training: 9%|▉ | 8860/100000 [1:46:59<18:26:56, 1.37step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=40066 Training: 9%|▉ | 8861/100000 [1:46:59<18:49:22, 1.34step/s] Training: 9%|▉ | 8862/100000 [1:47:00<19:04:07, 1.33step/s] Training: 9%|▉ | 8863/100000 [1:47:01<18:10:36, 1.39step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=25990 Training: 9%|▉ | 8864/100000 [1:47:01<17:28:30, 1.45step/s] Training: 9%|▉ | 8865/100000 [1:47:02<18:14:17, 1.39step/s] Training: 9%|▉ | 8866/100000 [1:47:03<17:29:53, 1.45step/s] Training: 9%|▉ | 8867/100000 [1:47:04<17:56:07, 1.41step/s] Training: 9%|▉ | 8868/100000 [1:47:04<18:25:55, 1.37step/s] Training: 9%|▉ | 8869/100000 [1:47:05<18:57:31, 1.34step/s] Training: 9%|▉ | 8870/100000 [1:47:06<19:12:40, 1.32step/s] Training: 9%|▉ | 8871/100000 [1:47:06<18:01:47, 1.40step/s] Training: 9%|▉ | 8872/100000 [1:47:07<17:23:19, 1.46step/s] Training: 9%|▉ | 8873/100000 [1:47:08<16:56:54, 1.49step/s] Training: 9%|▉ | 8874/100000 [1:47:09<17:44:43, 1.43step/s] Training: 9%|▉ | 8875/100000 [1:47:09<17:44:44, 1.43step/s] Training: 9%|▉ | 8876/100000 [1:47:10<18:10:27, 1.39step/s] Training: 9%|▉ | 8877/100000 [1:47:11<18:49:34, 1.34step/s] Training: 9%|▉ | 8878/100000 [1:47:12<18:59:00, 1.33step/s] Training: 9%|▉ | 8879/100000 [1:47:12<18:08:24, 1.40step/s] Training: 9%|▉ | 8880/100000 [1:47:13<17:38:15, 1.44step/s] Training: 9%|▉ | 8881/100000 [1:47:13<17:09:47, 1.47step/s] Training: 9%|▉ | 8882/100000 [1:47:14<17:54:28, 1.41step/s] Training: 9%|▉ | 8883/100000 [1:47:15<18:16:22, 1.39step/s] Training: 9%|▉ | 8884/100000 [1:47:16<18:38:33, 1.36step/s] Training: 9%|▉ | 8885/100000 [1:47:17<19:04:48, 1.33step/s] Training: 9%|▉ | 8886/100000 [1:47:17<18:08:41, 1.39step/s] Training: 9%|▉ | 8887/100000 [1:47:18<18:22:43, 1.38step/s] Training: 9%|▉ | 8888/100000 [1:47:19<17:32:03, 1.44step/s] Training: 9%|▉ | 8889/100000 [1:47:19<16:56:40, 1.49step/s] Training: 9%|▉ | 8890/100000 [1:47:20<17:16:08, 1.47step/s] Training: 9%|▉ | 8891/100000 [1:47:21<17:49:26, 1.42step/s] Training: 9%|▉ | 8892/100000 [1:47:21<18:08:17, 1.40step/s] Training: 9%|▉ | 8893/100000 [1:47:22<18:33:50, 1.36step/s] Training: 9%|▉ | 8894/100000 [1:47:23<18:47:58, 1.35step/s] Training: 9%|▉ | 8895/100000 [1:47:24<17:55:53, 1.41step/s] Training: 9%|▉ | 8896/100000 [1:47:24<17:17:37, 1.46step/s] Training: 9%|▉ | 8897/100000 [1:47:25<16:50:29, 1.50step/s] Training: 9%|▉ | 8898/100000 [1:47:26<17:55:55, 1.41step/s] Training: 9%|▉ | 8899/100000 [1:47:26<18:07:28, 1.40step/s] Training: 9%|▉ | 8900/100000 [1:47:27<18:35:37, 1.36step/s]INFO 2026-03-12 05:09:43 ot_train.py:435 step:9K smpl:570K ep:2K epch:7.54 loss:0.377 grdn:11.793 lr:2.0e-05 updt_s:0.695 data_s:0.013 Training: 9%|▉ | 8901/100000 [1:47:28<18:48:59, 1.34step/s] Training: 9%|▉ | 8902/100000 [1:47:29<18:56:08, 1.34step/s] Training: 9%|▉ | 8903/100000 [1:47:29<18:01:00, 1.40step/s] Training: 9%|▉ | 8904/100000 [1:47:30<17:24:47, 1.45step/s] Training: 9%|▉ | 8905/100000 [1:47:31<16:55:03, 1.50step/s] Training: 9%|▉ | 8906/100000 [1:47:31<16:28:11, 1.54step/s] Training: 9%|▉ | 8907/100000 [1:47:32<17:37:12, 1.44step/s] Training: 9%|▉ | 8908/100000 [1:47:33<18:01:16, 1.40step/s] Training: 9%|▉ | 8909/100000 [1:47:33<18:30:41, 1.37step/s] Training: 9%|▉ | 8910/100000 [1:47:34<18:31:01, 1.37step/s] Training: 9%|▉ | 8911/100000 [1:47:35<17:32:55, 1.44step/s] Training: 9%|▉ | 8912/100000 [1:47:35<16:52:02, 1.50step/s] Training: 9%|▉ | 8913/100000 [1:47:36<16:31:01, 1.53step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=65968 Training: 9%|▉ | 8914/100000 [1:47:37<17:19:31, 1.46step/s] Training: 9%|▉ | 8915/100000 [1:47:38<17:42:06, 1.43step/s] Training: 9%|▉ | 8916/100000 [1:47:38<18:01:24, 1.40step/s] Training: 9%|▉ | 8917/100000 [1:47:39<18:41:18, 1.35step/s] Training: 9%|▉ | 8918/100000 [1:47:40<17:49:10, 1.42step/s] Training: 9%|▉ | 8919/100000 [1:47:40<18:12:13, 1.39step/s] Training: 9%|▉ 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1.54step/s] Training: 9%|▉ | 8987/100000 [1:48:27<17:16:57, 1.46step/s] Training: 9%|▉ | 8988/100000 [1:48:28<18:06:09, 1.40step/s] Training: 9%|▉ | 8989/100000 [1:48:29<18:21:39, 1.38step/s] Training: 9%|▉ | 8990/100000 [1:48:30<18:53:00, 1.34step/s] Training: 9%|▉ | 8991/100000 [1:48:30<17:57:54, 1.41step/s] Training: 9%|▉ | 8992/100000 [1:48:31<17:24:57, 1.45step/s] Training: 9%|▉ | 8993/100000 [1:48:32<17:02:34, 1.48step/s] Training: 9%|▉ | 8994/100000 [1:48:32<16:45:03, 1.51step/s] Training: 9%|▉ | 8995/100000 [1:48:33<17:24:32, 1.45step/s] Training: 9%|▉ | 8996/100000 [1:48:34<18:08:16, 1.39step/s] Training: 9%|▉ | 8997/100000 [1:48:35<18:52:24, 1.34step/s] Training: 9%|▉ | 8998/100000 [1:48:35<18:59:39, 1.33step/s] Training: 9%|▉ | 8999/100000 [1:48:36<17:53:48, 1.41step/s] Training: 9%|▉ | 9000/100000 [1:48:37<17:05:15, 1.48step/s]INFO 2026-03-12 05:10:53 ot_train.py:435 step:9K smpl:576K ep:2K epch:7.63 loss:0.392 grdn:12.422 lr:2.0e-05 updt_s:0.681 data_s:0.012 Training: 9%|▉ | 9001/100000 [1:48:37<16:42:36, 1.51step/s] Training: 9%|▉ | 9002/100000 [1:48:38<16:31:21, 1.53step/s] Training: 9%|▉ | 9003/100000 [1:48:39<17:11:07, 1.47step/s] Training: 9%|▉ | 9004/100000 [1:48:39<17:30:59, 1.44step/s] Training: 9%|▉ | 9005/100000 [1:48:40<18:35:15, 1.36step/s] Training: 9%|▉ | 9006/100000 [1:48:41<18:56:31, 1.33step/s] Training: 9%|▉ | 9007/100000 [1:48:42<18:07:23, 1.39step/s] Training: 9%|▉ | 9008/100000 [1:48:42<17:39:58, 1.43step/s] Training: 9%|▉ | 9009/100000 [1:48:43<17:08:29, 1.47step/s] Training: 9%|▉ | 9010/100000 [1:48:44<16:45:58, 1.51step/s] Training: 9%|▉ | 9011/100000 [1:48:44<17:16:03, 1.46step/s] Training: 9%|▉ | 9012/100000 [1:48:45<18:01:43, 1.40step/s] Training: 9%|▉ | 9013/100000 [1:48:46<18:53:39, 1.34step/s] Training: 9%|▉ | 9014/100000 [1:48:47<19:17:30, 1.31step/s] Training: 9%|▉ | 9015/100000 [1:48:47<18:18:52, 1.38step/s] Training: 9%|▉ | 9016/100000 [1:48:48<17:34:43, 1.44step/s] Training: 9%|▉ | 9017/100000 [1:48:49<17:01:39, 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2026-03-12 05:12:03 ot_train.py:435 step:9K smpl:582K ep:2K epch:7.71 loss:0.412 grdn:11.878 lr:2.0e-05 updt_s:0.686 data_s:0.012 Training: 9%|▉ | 9101/100000 [1:49:47<18:05:47, 1.40step/s] Training: 9%|▉ | 9102/100000 [1:49:48<18:11:17, 1.39step/s] Training: 9%|▉ | 9103/100000 [1:49:49<17:28:19, 1.45step/s] Training: 9%|▉ | 9104/100000 [1:49:50<18:15:59, 1.38step/s] Training: 9%|▉ | 9105/100000 [1:49:50<17:39:04, 1.43step/s] Training: 9%|▉ | 9106/100000 [1:49:51<17:12:16, 1.47step/s] Training: 9%|▉ | 9107/100000 [1:49:52<17:26:42, 1.45step/s] Training: 9%|▉ | 9108/100000 [1:49:52<17:54:11, 1.41step/s] Training: 9%|▉ | 9109/100000 [1:49:53<18:20:23, 1.38step/s] Training: 9%|▉ | 9110/100000 [1:49:54<18:37:05, 1.36step/s] Training: 9%|▉ | 9111/100000 [1:49:55<17:47:52, 1.42step/s] Training: 9%|▉ | 9112/100000 [1:49:55<18:02:13, 1.40step/s] Training: 9%|▉ | 9113/100000 [1:49:56<17:20:58, 1.46step/s] Training: 9%|▉ | 9114/100000 [1:49:57<16:55:51, 1.49step/s] Training: 9%|▉ | 9115/100000 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| 9213/100000 [1:51:07<18:14:09, 1.38step/s] Training: 9%|▉ | 9214/100000 [1:51:08<18:39:34, 1.35step/s] Training: 9%|▉ | 9215/100000 [1:51:08<17:47:03, 1.42step/s] Training: 9%|▉ | 9216/100000 [1:51:09<17:15:18, 1.46step/s] Training: 9%|▉ | 9217/100000 [1:51:10<16:55:06, 1.49step/s] Training: 9%|▉ | 9218/100000 [1:51:10<16:33:27, 1.52step/s] Training: 9%|▉ | 9219/100000 [1:51:11<17:40:00, 1.43step/s] Training: 9%|▉ | 9220/100000 [1:51:12<18:09:16, 1.39step/s] Training: 9%|▉ | 9221/100000 [1:51:13<18:36:51, 1.35step/s] Training: 9%|▉ | 9222/100000 [1:51:13<18:45:07, 1.34step/s] Training: 9%|▉ | 9223/100000 [1:51:14<17:56:56, 1.40step/s] Training: 9%|▉ | 9224/100000 [1:51:15<17:18:26, 1.46step/s] Training: 9%|▉ | 9225/100000 [1:51:15<16:50:38, 1.50step/s] Training: 9%|▉ | 9226/100000 [1:51:16<16:33:19, 1.52step/s] Training: 9%|▉ | 9227/100000 [1:51:17<16:57:55, 1.49step/s] Training: 9%|▉ | 9228/100000 [1:51:17<17:42:30, 1.42step/s] Training: 9%|▉ | 9229/100000 [1:51:18<17:59:25, 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[1:52:05<17:10:02, 1.47step/s] Training: 9%|▉ | 9297/100000 [1:52:05<16:33:33, 1.52step/s] Training: 9%|▉ | 9298/100000 [1:52:06<16:09:19, 1.56step/s] Training: 9%|▉ | 9299/100000 [1:52:06<16:42:41, 1.51step/s] Training: 9%|▉ | 9300/100000 [1:52:07<17:12:56, 1.46step/s]INFO 2026-03-12 05:14:23 ot_train.py:435 step:9K smpl:595K ep:2K epch:7.88 loss:0.401 grdn:14.201 lr:2.0e-05 updt_s:0.679 data_s:0.012 Training: 9%|▉ | 9301/100000 [1:52:08<17:53:42, 1.41step/s] Training: 9%|▉ | 9302/100000 [1:52:09<18:14:40, 1.38step/s] Training: 9%|▉ | 9303/100000 [1:52:09<17:21:14, 1.45step/s] Training: 9%|▉ | 9304/100000 [1:52:10<16:59:32, 1.48step/s] Training: 9%|▉ | 9305/100000 [1:52:11<16:26:58, 1.53step/s] Training: 9%|▉ | 9306/100000 [1:52:11<16:16:00, 1.55step/s] Training: 9%|▉ | 9307/100000 [1:52:12<16:06:02, 1.56step/s] Training: 9%|▉ | 9308/100000 [1:52:13<17:20:59, 1.45step/s] Training: 9%|▉ | 9309/100000 [1:52:13<18:15:27, 1.38step/s] Training: 9%|▉ | 9310/100000 [1:52:14<18:38:36, 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1.41step/s] Training: 9%|▉ | 9439/100000 [1:53:45<17:01:45, 1.48step/s] Training: 9%|▉ | 9440/100000 [1:53:47<28:46:58, 1.14s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 9%|▉ | 9441/100000 [1:53:51<51:32:44, 2.05s/step] Training: 9%|▉ | 9442/100000 [1:53:52<40:51:09, 1.62s/step] Training: 9%|▉ | 9443/100000 [1:53:52<33:20:46, 1.33s/step] Training: 9%|▉ | 9444/100000 [1:53:53<29:32:47, 1.17s/step] Training: 9%|▉ | 9445/100000 [1:53:54<26:51:14, 1.07s/step] Training: 9%|▉ | 9446/100000 [1:53:55<24:27:45, 1.03step/s] Training: 9%|▉ | 9447/100000 [1:53:56<23:04:29, 1.09step/s] Training: 9%|▉ | 9448/100000 [1:53:56<20:46:31, 1.21step/s] Training: 9%|▉ | 9449/100000 [1:53:57<20:32:55, 1.22step/s] Training: 9%|▉ | 9450/100000 [1:53:58<18:55:01, 1.33step/s] Training: 9%|▉ | 9451/100000 [1:53:58<17:57:45, 1.40step/s] Training: 9%|▉ | 9452/100000 [1:53:59<18:18:46, 1.37step/s] Training: 9%|▉ | 9453/100000 [1:54:00<18:35:04, 1.35step/s] Training: 9%|▉ | 9454/100000 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tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=44033 Training: 9%|▉ | 9486/100000 [1:54:23<18:18:52, 1.37step/s] Training: 9%|▉ | 9487/100000 [1:54:24<17:43:03, 1.42step/s] Training: 9%|▉ | 9488/100000 [1:54:24<17:06:39, 1.47step/s] Training: 9%|▉ | 9489/100000 [1:54:25<16:44:01, 1.50step/s] Training: 9%|▉ | 9490/100000 [1:54:26<17:57:12, 1.40step/s] Training: 9%|▉ | 9491/100000 [1:54:26<17:17:25, 1.45step/s] Training: 9%|▉ | 9492/100000 [1:54:27<17:59:28, 1.40step/s] Training: 9%|▉ | 9493/100000 [1:54:28<18:31:55, 1.36step/s] Training: 9%|▉ | 9494/100000 [1:54:29<19:10:41, 1.31step/s] Training: 9%|▉ | 9495/100000 [1:54:29<18:11:28, 1.38step/s] Training: 9%|▉ | 9496/100000 [1:54:30<17:33:26, 1.43step/s] Training: 9%|▉ | 9497/100000 [1:54:31<17:10:04, 1.46step/s] Training: 9%|▉ | 9498/100000 [1:54:31<16:50:30, 1.49step/s] Training: 9%|▉ | 9499/100000 [1:54:32<17:44:51, 1.42step/s] Training: 10%|▉ | 9500/100000 [1:54:33<18:25:20, 1.36step/s]INFO 2026-03-12 05:16:49 ot_train.py:435 step:10K smpl:608K ep:2K epch:8.05 loss:0.357 grdn:11.255 lr:2.0e-05 updt_s:0.689 data_s:0.061 Training: 10%|▉ | 9501/100000 [1:54:34<18:53:29, 1.33step/s] Training: 10%|▉ | 9502/100000 [1:54:34<19:20:13, 1.30step/s] Training: 10%|▉ | 9503/100000 [1:54:35<18:15:57, 1.38step/s] Training: 10%|▉ | 9504/100000 [1:54:36<17:29:54, 1.44step/s] Training: 10%|▉ | 9505/100000 [1:54:36<17:04:10, 1.47step/s] Training: 10%|▉ | 9506/100000 [1:54:37<16:45:49, 1.50step/s] Training: 10%|▉ | 9507/100000 [1:54:38<17:37:34, 1.43step/s] Training: 10%|▉ | 9508/100000 [1:54:38<18:07:24, 1.39step/s] Training: 10%|▉ | 9509/100000 [1:54:39<18:29:41, 1.36step/s] Training: 10%|▉ | 9510/100000 [1:54:40<18:29:58, 1.36step/s] Training: 10%|▉ | 9511/100000 [1:54:41<17:42:11, 1.42step/s] Training: 10%|▉ | 9512/100000 [1:54:41<17:06:29, 1.47step/s] Training: 10%|▉ | 9513/100000 [1:54:42<16:40:40, 1.51step/s] Training: 10%|▉ | 9514/100000 [1:54:42<16:17:49, 1.54step/s] Training: 10%|▉ | 9515/100000 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1.40step/s] Training: 10%|▉ | 9693/100000 [1:56:47<18:26:41, 1.36step/s] Training: 10%|▉ | 9694/100000 [1:56:48<18:39:01, 1.35step/s] Training: 10%|▉ | 9695/100000 [1:56:49<19:09:33, 1.31step/s] Training: 10%|▉ | 9696/100000 [1:56:49<19:07:55, 1.31step/s] Training: 10%|▉ | 9697/100000 [1:56:50<18:04:26, 1.39step/s] Training: 10%|▉ | 9698/100000 [1:56:51<17:35:19, 1.43step/s] Training: 10%|▉ | 9699/100000 [1:56:51<17:07:17, 1.47step/s] Training: 10%|▉ | 9700/100000 [1:56:52<17:46:45, 1.41step/s]INFO 2026-03-12 05:19:08 ot_train.py:435 step:10K smpl:621K ep:2K epch:8.22 loss:0.347 grdn:11.519 lr:2.0e-05 updt_s:0.689 data_s:0.012 Training: 10%|▉ | 9701/100000 [1:56:53<18:18:16, 1.37step/s] Training: 10%|▉ | 9702/100000 [1:56:54<18:51:10, 1.33step/s] Training: 10%|▉ | 9703/100000 [1:56:54<18:55:22, 1.33step/s] Training: 10%|▉ | 9704/100000 [1:56:55<17:59:48, 1.39step/s] Training: 10%|▉ | 9705/100000 [1:56:56<18:20:42, 1.37step/s] Training: 10%|▉ | 9706/100000 [1:56:56<17:32:08, 1.43step/s] 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[1:57:55<17:25:32, 1.44step/s] Training: 10%|▉ | 9789/100000 [1:57:55<17:50:55, 1.40step/s] Training: 10%|▉ | 9790/100000 [1:57:56<18:20:16, 1.37step/s] Training: 10%|▉ | 9791/100000 [1:57:57<18:38:49, 1.34step/s] Training: 10%|▉ | 9792/100000 [1:57:58<17:36:58, 1.42step/s] Training: 10%|▉ | 9793/100000 [1:57:58<17:01:21, 1.47step/s] Training: 10%|▉ | 9794/100000 [1:57:59<16:28:30, 1.52step/s] Training: 10%|▉ | 9795/100000 [1:58:00<17:23:51, 1.44step/s] Training: 10%|▉ | 9796/100000 [1:58:00<17:35:40, 1.42step/s] Training: 10%|▉ | 9797/100000 [1:58:01<18:01:55, 1.39step/s] Training: 10%|▉ | 9798/100000 [1:58:02<18:22:04, 1.36step/s] Training: 10%|▉ | 9799/100000 [1:58:03<18:15:49, 1.37step/s] Training: 10%|▉ | 9800/100000 [1:58:03<17:33:01, 1.43step/s]INFO 2026-03-12 05:20:19 ot_train.py:435 step:10K smpl:627K ep:2K epch:8.31 loss:0.363 grdn:11.722 lr:2.0e-05 updt_s:0.697 data_s:0.012 Training: 10%|▉ | 9801/100000 [1:58:04<17:06:53, 1.46step/s] Training: 10%|▉ | 9802/100000 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[1:59:13<16:58:39, 1.47step/s]INFO 2026-03-12 05:21:29 ot_train.py:435 step:10K smpl:634K ep:2K epch:8.39 loss:0.342 grdn:13.335 lr:2.0e-05 updt_s:0.682 data_s:0.012 Training: 10%|▉ | 9901/100000 [1:59:14<17:30:59, 1.43step/s] Training: 10%|▉ | 9902/100000 [1:59:14<18:13:59, 1.37step/s] Training: 10%|▉ | 9903/100000 [1:59:15<18:13:58, 1.37step/s] Training: 10%|▉ | 9904/100000 [1:59:16<17:27:58, 1.43step/s] Training: 10%|▉ | 9905/100000 [1:59:16<16:57:19, 1.48step/s] Training: 10%|▉ | 9906/100000 [1:59:17<16:36:22, 1.51step/s] Training: 10%|▉ | 9907/100000 [1:59:18<16:18:51, 1.53step/s] Training: 10%|▉ | 9908/100000 [1:59:18<17:12:13, 1.45step/s] Training: 10%|▉ | 9909/100000 [1:59:19<17:49:10, 1.40step/s] Training: 10%|▉ | 9910/100000 [1:59:20<18:37:02, 1.34step/s] Training: 10%|▉ | 9911/100000 [1:59:21<18:31:25, 1.35step/s] Training: 10%|▉ | 9912/100000 [1:59:21<17:38:20, 1.42step/s] Training: 10%|▉ | 9913/100000 [1:59:22<17:09:58, 1.46step/s] Training: 10%|▉ | 9914/100000 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10%|▉ | 9996/100000 [2:00:20<17:25:36, 1.43step/s] Training: 10%|▉ | 9997/100000 [2:00:21<17:43:18, 1.41step/s] Training: 10%|▉ | 9998/100000 [2:00:22<18:14:13, 1.37step/s] Training: 10%|▉ | 9999/100000 [2:00:23<18:32:50, 1.35step/s] Training: 10%|█ | 10000/100000 [2:00:23<17:33:40, 1.42step/s]INFO 2026-03-12 05:22:39 ot_train.py:435 step:10K smpl:640K ep:2K epch:8.48 loss:0.373 grdn:11.629 lr:2.0e-05 updt_s:0.691 data_s:0.013 INFO 2026-03-12 05:22:39 ot_train.py:455 Checkpoint policy after step 10000 [Avatar] Pushing checkpoint (step 10000) to avatarrobotics/pi0fast-orange-hook-right-b64-20260312-0320... 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Skipping to prevent empty commit. WARNING 2026-03-12 05:23:54 /hf_api.py:4298 No files have been modified since last commit. Skipping to prevent empty commit. Processing Files (0 / 0) : | | 0.00B / 0.00B New Data Upload : | | 0.00B / 0.00B  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, ???B/s ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, 0.00B/s New Data Upload : | | 0.00B / 0.00B, 0.00B/s ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB No files have been modified since last commit. Skipping to prevent empty commit. WARNING 2026-03-12 05:23:54 /hf_api.py:4298 No files have been modified since last commit. Skipping to prevent empty commit. [Avatar] Pushed checkpoint (step 10000) OK [Avatar] Tagged as 'step-10000' Training: 10%|█ | 10001/100000 [2:01:39<583:05:06, 23.32s/step] Training: 10%|█ | 10002/100000 [2:01:40<412:49:54, 16.51s/step] Training: 10%|█ | 10003/100000 [2:01:41<293:39:03, 11.75s/step] Training: 10%|█ | 10004/100000 [2:01:42<211:24:31, 8.46s/step] Training: 10%|█ | 10005/100000 [2:01:42<153:41:29, 6.15s/step] Training: 10%|█ | 10006/100000 [2:01:43<113:31:09, 4.54s/step] Training: 10%|█ | 10007/100000 [2:01:44<85:07:13, 3.41s/step] Training: 10%|█ | 10008/100000 [2:01:45<65:19:54, 2.61s/step] Training: 10%|█ | 10009/100000 [2:01:45<50:22:42, 2.02s/step] Training: 10%|█ | 10010/100000 [2:01:46<39:55:40, 1.60s/step] Training: 10%|█ | 10011/100000 [2:01:46<32:37:40, 1.31s/step] Training: 10%|█ | 10012/100000 [2:01:47<28:35:48, 1.14s/step] Training: 10%|█ | 10013/100000 [2:01:48<25:36:54, 1.02s/step] Training: 10%|█ | 10014/100000 [2:01:49<23:41:59, 1.05step/s] Training: 10%|█ | 10015/100000 [2:01:50<22:29:37, 1.11step/s] Training: 10%|█ | 10016/100000 [2:01:50<20:28:25, 1.22step/s] Training: 10%|█ | 10017/100000 [2:01:51<20:11:22, 1.24step/s] Training: 10%|█ | 10018/100000 [2:01:52<18:47:21, 1.33step/s] Training: 10%|█ | 10019/100000 [2:01:52<17:43:44, 1.41step/s] Training: 10%|█ | 10020/100000 [2:01:53<18:08:50, 1.38step/s] Training: 10%|█ | 10021/100000 [2:01:54<18:37:13, 1.34step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=30258 Training: 10%|█ | 10022/100000 [2:01:55<18:56:39, 1.32step/s] Training: 10%|█ | 10023/100000 [2:01:55<18:59:53, 1.32step/s] Training: 10%|█ | 10024/100000 [2:01:56<18:00:28, 1.39step/s] Training: 10%|█ | 10025/100000 [2:01:57<18:28:40, 1.35step/s] Training: 10%|█ | 10026/100000 [2:01:57<17:29:38, 1.43step/s] Training: 10%|█ | 10027/100000 [2:01:58<17:01:39, 1.47step/s] Training: 10%|█ | 10028/100000 [2:01:59<17:57:46, 1.39step/s] Training: 10%|█ | 10029/100000 [2:02:00<18:34:19, 1.35step/s] Training: 10%|█ | 10030/100000 [2:02:00<18:52:38, 1.32step/s] Training: 10%|█ | 10031/100000 [2:02:01<18:59:51, 1.32step/s] Training: 10%|█ | 10032/100000 [2:02:02<18:10:50, 1.37step/s] Training: 10%|█ | 10033/100000 [2:02:03<18:43:00, 1.34step/s] Training: 10%|█ | 10034/100000 [2:02:03<17:52:50, 1.40step/s] Training: 10%|█ | 10035/100000 [2:02:04<17:15:22, 1.45step/s] Training: 10%|█ | 10036/100000 [2:02:05<17:59:54, 1.39step/s] Training: 10%|█ | 10037/100000 [2:02:05<18:10:17, 1.38step/s] Training: 10%|█ | 10038/100000 [2:02:06<18:28:29, 1.35step/s] Training: 10%|█ | 10039/100000 [2:02:07<18:50:10, 1.33step/s] Training: 10%|█ | 10040/100000 [2:02:08<17:53:47, 1.40step/s] Training: 10%|█ | 10041/100000 [2:02:08<17:18:39, 1.44step/s] Training: 10%|█ | 10042/100000 [2:02:09<17:54:56, 1.39step/s] Training: 10%|█ | 10043/100000 [2:02:10<17:10:52, 1.45step/s] Training: 10%|█ | 10044/100000 [2:02:10<17:55:51, 1.39step/s] Training: 10%|█ | 10045/100000 [2:02:11<18:28:41, 1.35step/s] Training: 10%|█ | 10046/100000 [2:02:12<18:42:29, 1.34step/s] Training: 10%|█ | 10047/100000 [2:02:13<18:51:32, 1.32step/s] Training: 10%|█ | 10048/100000 [2:02:13<17:44:30, 1.41step/s] Training: 10%|█ | 10049/100000 [2:02:14<17:10:55, 1.45step/s] Training: 10%|█ | 10050/100000 [2:02:15<17:51:27, 1.40step/s] Training: 10%|█ | 10051/100000 [2:02:15<17:09:01, 1.46step/s] Training: 10%|█ | 10052/100000 [2:02:16<17:24:47, 1.43step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=30258 Training: 10%|█ | 10053/100000 [2:02:17<17:43:03, 1.41step/s] Training: 10%|█ | 10054/100000 [2:02:18<17:53:41, 1.40step/s] Training: 10%|█ | 10055/100000 [2:02:18<17:57:09, 1.39step/s] Training: 10%|█ | 10056/100000 [2:02:19<17:16:06, 1.45step/s] Training: 10%|█ | 10057/100000 [2:02:19<16:44:30, 1.49step/s] Training: 10%|█ | 10058/100000 [2:02:20<16:57:14, 1.47step/s] Training: 10%|█ | 10059/100000 [2:02:21<16:23:18, 1.52step/s] Training: 10%|█ | 10060/100000 [2:02:22<17:19:06, 1.44step/s] Training: 10%|█ | 10061/100000 [2:02:22<17:59:10, 1.39step/s] Training: 10%|█ | 10062/100000 [2:02:23<18:15:23, 1.37step/s] Training: 10%|█ | 10063/100000 [2:02:24<18:24:45, 1.36step/s] Training: 10%|█ | 10064/100000 [2:02:24<17:36:32, 1.42step/s] Training: 10%|█ | 10065/100000 [2:02:25<16:55:21, 1.48step/s] Training: 10%|█ | 10066/100000 [2:02:26<17:20:36, 1.44step/s] Training: 10%|█ | 10067/100000 [2:02:26<16:45:32, 1.49step/s] Training: 10%|█ | 10068/100000 [2:02:27<17:34:18, 1.42step/s] Training: 10%|█ | 10069/100000 [2:02:28<18:06:16, 1.38step/s] Training: 10%|█ | 10070/100000 [2:02:29<18:25:58, 1.36step/s] Training: 10%|█ | 10071/100000 [2:02:30<18:34:52, 1.34step/s] Training: 10%|█ | 10072/100000 [2:02:30<17:45:56, 1.41step/s] Training: 10%|█ | 10073/100000 [2:02:31<17:12:58, 1.45step/s] Training: 10%|█ | 10074/100000 [2:02:32<17:29:50, 1.43step/s] Training: 10%|█ | 10075/100000 [2:02:32<16:54:36, 1.48step/s] Training: 10%|█ | 10076/100000 [2:02:33<17:17:31, 1.44step/s] Training: 10%|█ | 10077/100000 [2:02:34<17:23:40, 1.44step/s] Training: 10%|█ | 10078/100000 [2:02:34<18:07:46, 1.38step/s] Training: 10%|█ | 10079/100000 [2:02:35<18:13:19, 1.37step/s] Training: 10%|█ | 10080/100000 [2:02:36<17:29:33, 1.43step/s] Training: 10%|█ | 10081/100000 [2:02:36<16:56:00, 1.48step/s] Training: 10%|█ | 10082/100000 [2:02:37<16:43:13, 1.49step/s] Training: 10%|█ | 10083/100000 [2:02:38<18:08:07, 1.38step/s] Training: 10%|█ | 10084/100000 [2:02:39<18:18:24, 1.36step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=41086 Training: 10%|█ | 10085/100000 [2:02:39<18:33:14, 1.35step/s] Training: 10%|█ | 10086/100000 [2:02:40<19:00:05, 1.31step/s] Training: 10%|█ | 10087/100000 [2:02:41<18:44:16, 1.33step/s] Training: 10%|█ | 10088/100000 [2:02:42<17:52:44, 1.40step/s] Training: 10%|█ | 10089/100000 [2:02:42<17:14:59, 1.45step/s] Training: 10%|█ | 10090/100000 [2:02:43<16:37:08, 1.50step/s] Training: 10%|█ | 10091/100000 [2:02:44<17:21:25, 1.44step/s] Training: 10%|█ | 10092/100000 [2:02:44<17:54:46, 1.39step/s] Training: 10%|█ | 10093/100000 [2:02:45<18:24:13, 1.36step/s] Training: 10%|█ | 10094/100000 [2:02:46<19:37:22, 1.27step/s] Training: 10%|█ | 10095/100000 [2:02:47<19:35:46, 1.27step/s] Training: 10%|█ | 10096/100000 [2:02:47<18:23:36, 1.36step/s] Training: 10%|█ | 10097/100000 [2:02:48<17:36:19, 1.42step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=61388 Training: 10%|█ | 10098/100000 [2:02:49<17:10:44, 1.45step/s] Training: 10%|█ | 10099/100000 [2:02:50<18:09:01, 1.38step/s] Training: 10%|█ | 10100/100000 [2:02:50<18:25:16, 1.36step/s]INFO 2026-03-12 05:25:06 ot_train.py:435 step:10K smpl:646K ep:2K epch:8.56 loss:0.364 grdn:11.888 lr:2.0e-05 updt_s:0.700 data_s:0.013 Training: 10%|█ | 10101/100000 [2:02:51<18:45:53, 1.33step/s] Training: 10%|█ | 10102/100000 [2:02:52<19:41:03, 1.27step/s] Training: 10%|█ | 10103/100000 [2:02:53<19:30:04, 1.28step/s] Training: 10%|█ | 10104/100000 [2:02:53<18:22:04, 1.36step/s] Training: 10%|█ | 10105/100000 [2:02:54<17:37:59, 1.42step/s] Training: 10%|█ | 10106/100000 [2:02:55<16:59:43, 1.47step/s] Training: 10%|█ | 10107/100000 [2:02:55<17:56:53, 1.39step/s] Training: 10%|█ | 10108/100000 [2:02:56<18:07:04, 1.38step/s] Training: 10%|█ | 10109/100000 [2:02:57<18:02:05, 1.38step/s] Training: 10%|█ | 10110/100000 [2:02:58<18:34:13, 1.34step/s] Training: 10%|█ | 10111/100000 [2:02:58<18:39:34, 1.34step/s] Training: 10%|█ | 10112/100000 [2:02:59<17:51:47, 1.40step/s] Training: 10%|█ | 10113/100000 [2:03:00<17:17:23, 1.44step/s] Training: 10%|█ | 10114/100000 [2:03:00<16:38:14, 1.50step/s] Training: 10%|█ | 10115/100000 [2:03:01<16:24:57, 1.52step/s] Training: 10%|█ | 10116/100000 [2:03:02<17:40:54, 1.41step/s] Training: 10%|█ | 10117/100000 [2:03:02<17:47:11, 1.40step/s] Training: 10%|█ | 10118/100000 [2:03:03<18:23:56, 1.36step/s] Training: 10%|█ | 10119/100000 [2:03:04<18:05:22, 1.38step/s] Training: 10%|█ | 10120/100000 [2:03:05<17:23:29, 1.44step/s] Training: 10%|█ | 10121/100000 [2:03:05<16:50:14, 1.48step/s] Training: 10%|█ | 10122/100000 [2:03:06<16:21:27, 1.53step/s] Training: 10%|█ | 10123/100000 [2:03:06<16:13:55, 1.54step/s] Training: 10%|█ | 10124/100000 [2:03:07<17:34:33, 1.42step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=30258 Training: 10%|█ | 10125/100000 [2:03:08<17:54:55, 1.39step/s] Training: 10%|█ | 10126/100000 [2:03:09<18:21:43, 1.36step/s] Training: 10%|█ | 10127/100000 [2:03:10<18:38:25, 1.34step/s] Training: 10%|█ | 10128/100000 [2:03:10<17:43:23, 1.41step/s] Training: 10%|█ | 10129/100000 [2:03:11<16:56:05, 1.47step/s] Training: 10%|█ | 10130/100000 [2:03:11<16:30:45, 1.51step/s] Training: 10%|█ | 10131/100000 [2:03:12<16:15:59, 1.53step/s] Training: 10%|█ | 10132/100000 [2:03:13<17:21:02, 1.44step/s] Training: 10%|█ | 10133/100000 [2:03:14<17:57:02, 1.39step/s] Training: 10%|█ | 10134/100000 [2:03:14<18:23:41, 1.36step/s] Training: 10%|█ | 10135/100000 [2:03:15<18:35:22, 1.34step/s] Training: 10%|█ | 10136/100000 [2:03:16<17:33:34, 1.42step/s] Training: 10%|█ | 10137/100000 [2:03:16<16:58:12, 1.47step/s] Training: 10%|█ | 10138/100000 [2:03:17<16:24:44, 1.52step/s] Training: 10%|█ | 10139/100000 [2:03:18<16:18:16, 1.53step/s] Training: 10%|█ | 10140/100000 [2:03:18<17:14:23, 1.45step/s] Training: 10%|█ | 10141/100000 [2:03:19<17:37:27, 1.42step/s] Training: 10%|█ | 10142/100000 [2:03:20<18:23:22, 1.36step/s] Training: 10%|█ | 10143/100000 [2:03:21<18:47:21, 1.33step/s] Training: 10%|█ | 10144/100000 [2:03:21<17:54:23, 1.39step/s] Training: 10%|█ | 10145/100000 [2:03:22<17:21:02, 1.44step/s] Training: 10%|█ | 10146/100000 [2:03:23<16:45:45, 1.49step/s] Training: 10%|█ | 10147/100000 [2:03:23<16:26:36, 1.52step/s] Training: 10%|█ | 10148/100000 [2:03:24<17:07:48, 1.46step/s] Training: 10%|█ | 10149/100000 [2:03:25<17:50:11, 1.40step/s] Training: 10%|█ | 10150/100000 [2:03:26<18:16:34, 1.37step/s] Training: 10%|█ | 10151/100000 [2:03:26<18:35:08, 1.34step/s] Training: 10%|█ | 10152/100000 [2:03:27<17:54:18, 1.39step/s] Training: 10%|█ | 10153/100000 [2:03:28<17:08:37, 1.46step/s] Training: 10%|█ | 10154/100000 [2:03:28<16:36:03, 1.50step/s] Training: 10%|█ | 10155/100000 [2:03:29<16:19:09, 1.53step/s] Training: 10%|█ | 10156/100000 [2:03:30<17:15:59, 1.45step/s] Training: 10%|█ | 10157/100000 [2:03:30<17:49:07, 1.40step/s] Training: 10%|█ | 10158/100000 [2:03:31<18:20:43, 1.36step/s] Training: 10%|█ | 10159/100000 [2:03:32<18:31:57, 1.35step/s] Training: 10%|█ | 10160/100000 [2:03:33<17:40:36, 1.41step/s] Training: 10%|█ | 10161/100000 [2:03:33<17:09:36, 1.45step/s] Training: 10%|█ | 10162/100000 [2:03:34<16:37:33, 1.50step/s] Training: 10%|█ | 10163/100000 [2:03:34<16:09:52, 1.54step/s] Training: 10%|█ | 10164/100000 [2:03:35<16:57:38, 1.47step/s] Training: 10%|█ | 10165/100000 [2:03:36<17:38:26, 1.41step/s] Training: 10%|█ | 10166/100000 [2:03:37<18:12:59, 1.37step/s] Training: 10%|█ | 10167/100000 [2:03:38<18:20:33, 1.36step/s] Training: 10%|█ | 10168/100000 [2:03:38<17:35:12, 1.42step/s] Training: 10%|█ | 10169/100000 [2:03:39<17:11:04, 1.45step/s] Training: 10%|█ | 10170/100000 [2:03:39<16:44:16, 1.49step/s] Training: 10%|█ | 10171/100000 [2:03:40<16:31:47, 1.51step/s] Training: 10%|█ | 10172/100000 [2:03:41<16:50:53, 1.48step/s] Training: 10%|█ | 10173/100000 [2:03:42<18:05:49, 1.38step/s] Training: 10%|█ | 10174/100000 [2:03:42<18:30:46, 1.35step/s] Training: 10%|█ | 10175/100000 [2:03:43<18:29:41, 1.35step/s] Training: 10%|█ | 10176/100000 [2:03:44<17:28:50, 1.43step/s] Training: 10%|█ | 10177/100000 [2:03:44<16:55:30, 1.47step/s] Training: 10%|█ | 10178/100000 [2:03:45<16:30:15, 1.51step/s] Training: 10%|█ | 10179/100000 [2:03:46<16:13:59, 1.54step/s] Training: 10%|█ | 10180/100000 [2:03:46<16:45:25, 1.49step/s] Training: 10%|█ | 10181/100000 [2:03:47<17:13:51, 1.45step/s] Training: 10%|█ | 10182/100000 [2:03:48<18:18:58, 1.36step/s] Training: 10%|█ | 10183/100000 [2:03:49<18:16:51, 1.36step/s] Training: 10%|█ | 10184/100000 [2:03:49<17:21:11, 1.44step/s] Training: 10%|█ | 10185/100000 [2:03:50<16:40:53, 1.50step/s] Training: 10%|█ | 10186/100000 [2:03:51<16:21:38, 1.52step/s] Training: 10%|█ | 10187/100000 [2:03:51<16:10:28, 1.54step/s] Training: 10%|█ | 10188/100000 [2:03:52<17:06:19, 1.46step/s] Training: 10%|█ | 10189/100000 [2:03:53<17:38:18, 1.41step/s] Training: 10%|█ | 10190/100000 [2:03:53<18:26:28, 1.35step/s] Training: 10%|█ | 10191/100000 [2:03:54<18:40:44, 1.34step/s] Training: 10%|█ | 10192/100000 [2:03:55<17:50:21, 1.40step/s] Training: 10%|█ | 10193/100000 [2:03:56<17:08:00, 1.46step/s] Training: 10%|█ | 10194/100000 [2:03:56<16:39:59, 1.50step/s] Training: 10%|█ | 10195/100000 [2:03:57<16:26:58, 1.52step/s] Training: 10%|█ | 10196/100000 [2:03:58<17:17:39, 1.44step/s] Training: 10%|█ | 10197/100000 [2:03:58<17:40:30, 1.41step/s] Training: 10%|█ | 10198/100000 [2:03:59<18:25:32, 1.35step/s] Training: 10%|█ | 10199/100000 [2:04:00<18:25:41, 1.35step/s] Training: 10%|█ | 10200/100000 [2:04:00<17:37:10, 1.42step/s]INFO 2026-03-12 05:26:16 ot_train.py:435 step:10K smpl:653K ep:2K epch:8.65 loss:0.368 grdn:12.314 lr:2.0e-05 updt_s:0.687 data_s:0.012 Training: 10%|█ | 10201/100000 [2:04:01<17:06:56, 1.46step/s] Training: 10%|█ | 10202/100000 [2:04:02<16:46:51, 1.49step/s] Training: 10%|█ | 10203/100000 [2:04:02<16:34:10, 1.51step/s] Training: 10%|█ | 10204/100000 [2:04:03<17:03:25, 1.46step/s] Training: 10%|█ | 10205/100000 [2:04:04<17:19:26, 1.44step/s] Training: 10%|█ | 10206/100000 [2:04:05<18:23:16, 1.36step/s] Training: 10%|█ | 10207/100000 [2:04:05<18:50:23, 1.32step/s] Training: 10%|█ | 10208/100000 [2:04:06<18:03:05, 1.38step/s] Training: 10%|█ | 10209/100000 [2:04:07<17:27:06, 1.43step/s] Training: 10%|█ | 10210/100000 [2:04:07<17:01:08, 1.47step/s] Training: 10%|█ | 10211/100000 [2:04:08<16:32:40, 1.51step/s] Training: 10%|█ | 10212/100000 [2:04:09<17:11:51, 1.45step/s] Training: 10%|█ | 10213/100000 [2:04:10<17:33:29, 1.42step/s] Training: 10%|█ | 10214/100000 [2:04:10<18:33:21, 1.34step/s] Training: 10%|█ | 10215/100000 [2:04:11<18:46:26, 1.33step/s] Training: 10%|█ | 10216/100000 [2:04:12<17:59:47, 1.39step/s] Training: 10%|█ | 10217/100000 [2:04:12<17:22:01, 1.44step/s] Training: 10%|█ | 10218/100000 [2:04:13<16:57:16, 1.47step/s] Training: 10%|█ | 10219/100000 [2:04:14<16:37:41, 1.50step/s] Training: 10%|█ | 10220/100000 [2:04:14<17:29:47, 1.43step/s] Training: 10%|█ | 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10253/100000 [2:04:38<17:40:13, 1.41step/s] Training: 10%|█ | 10254/100000 [2:04:38<18:13:38, 1.37step/s] Training: 10%|█ | 10255/100000 [2:04:39<18:17:26, 1.36step/s] Training: 10%|█ | 10256/100000 [2:04:40<18:58:44, 1.31step/s] Training: 10%|█ | 10257/100000 [2:04:41<17:53:46, 1.39step/s] Training: 10%|█ | 10258/100000 [2:04:41<17:10:35, 1.45step/s] Training: 10%|█ | 10259/100000 [2:04:42<16:43:56, 1.49step/s] Training: 10%|█ | 10260/100000 [2:04:43<17:23:29, 1.43step/s] Training: 10%|█ | 10261/100000 [2:04:43<18:02:10, 1.38step/s] Training: 10%|█ | 10262/100000 [2:04:44<18:25:34, 1.35step/s] Training: 10%|█ | 10263/100000 [2:04:45<18:26:16, 1.35step/s] Training: 10%|█ | 10264/100000 [2:04:46<18:44:18, 1.33step/s] Training: 10%|█ | 10265/100000 [2:04:46<17:45:42, 1.40step/s] Training: 10%|█ | 10266/100000 [2:04:47<17:11:24, 1.45step/s] Training: 10%|█ | 10267/100000 [2:04:48<16:48:08, 1.48step/s] Training: 10%|█ | 10268/100000 [2:04:48<17:16:25, 1.44step/s] Training: 10%|█ | 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10285/100000 [2:05:00<17:55:25, 1.39step/s] Training: 10%|█ | 10286/100000 [2:05:01<18:08:53, 1.37step/s] Training: 10%|█ | 10287/100000 [2:05:02<18:20:26, 1.36step/s] Training: 10%|█ | 10288/100000 [2:05:03<17:23:26, 1.43step/s] Training: 10%|█ | 10289/100000 [2:05:03<17:59:57, 1.38step/s] Training: 10%|█ | 10290/100000 [2:05:04<17:14:12, 1.45step/s] Training: 10%|█ | 10291/100000 [2:05:05<16:49:03, 1.48step/s] Training: 10%|█ | 10292/100000 [2:05:05<17:24:01, 1.43step/s] Training: 10%|█ | 10293/100000 [2:05:06<18:00:28, 1.38step/s] Training: 10%|█ | 10294/100000 [2:05:07<18:14:26, 1.37step/s] Training: 10%|█ | 10295/100000 [2:05:08<18:39:51, 1.34step/s] Training: 10%|█ | 10296/100000 [2:05:08<18:48:05, 1.33step/s] Training: 10%|█ | 10297/100000 [2:05:09<17:48:54, 1.40step/s] Training: 10%|█ | 10298/100000 [2:05:10<17:08:41, 1.45step/s] Training: 10%|█ | 10299/100000 [2:05:10<16:39:26, 1.50step/s] Training: 10%|█ | 10300/100000 [2:05:11<17:07:50, 1.45step/s]INFO 2026-03-12 05:27:27 ot_train.py:435 step:10K smpl:659K ep:2K epch:8.73 loss:0.356 grdn:12.202 lr:2.0e-05 updt_s:0.691 data_s:0.012 Training: 10%|█ | 10301/100000 [2:05:12<17:21:51, 1.43step/s] Training: 10%|█ | 10302/100000 [2:05:13<18:08:06, 1.37step/s] Training: 10%|█ | 10303/100000 [2:05:13<18:19:28, 1.36step/s] Training: 10%|█ | 10304/100000 [2:05:14<17:34:10, 1.42step/s] Training: 10%|█ | 10305/100000 [2:05:15<18:14:09, 1.37step/s] Training: 10%|█ | 10306/100000 [2:05:15<17:33:46, 1.42step/s] Training: 10%|█ | 10307/100000 [2:05:16<17:01:11, 1.46step/s] Training: 10%|█ | 10308/100000 [2:05:17<17:21:55, 1.43step/s] Training: 10%|█ | 10309/100000 [2:05:17<17:26:05, 1.43step/s] Training: 10%|█ | 10310/100000 [2:05:18<17:50:32, 1.40step/s] Training: 10%|█ | 10311/100000 [2:05:19<17:39:38, 1.41step/s] Training: 10%|█ | 10312/100000 [2:05:20<17:01:54, 1.46step/s] Training: 10%|█ | 10313/100000 [2:05:20<17:42:45, 1.41step/s] Training: 10%|█ | 10314/100000 [2:05:21<17:09:01, 1.45step/s] Training: 10%|█ | 10315/100000 [2:05:22<16:40:08, 1.49step/s] Training: 10%|█ | 10316/100000 [2:05:22<17:22:56, 1.43step/s] Training: 10%|█ | 10317/100000 [2:05:23<18:02:19, 1.38step/s] Training: 10%|█ | 10318/100000 [2:05:24<18:05:24, 1.38step/s] Training: 10%|█ | 10319/100000 [2:05:25<18:18:16, 1.36step/s] Training: 10%|█ | 10320/100000 [2:05:25<17:34:05, 1.42step/s] Training: 10%|█ | 10321/100000 [2:05:26<17:36:40, 1.41step/s] Training: 10%|█ | 10322/100000 [2:05:27<16:57:25, 1.47step/s] Training: 10%|█ | 10323/100000 [2:05:27<16:36:28, 1.50step/s] Training: 10%|█ | 10324/100000 [2:05:28<17:07:29, 1.45step/s] Training: 10%|█ | 10325/100000 [2:05:29<17:38:29, 1.41step/s] Training: 10%|█ | 10326/100000 [2:05:29<18:06:16, 1.38step/s] Training: 10%|█ | 10327/100000 [2:05:30<18:26:42, 1.35step/s] Training: 10%|█ | 10328/100000 [2:05:31<17:46:16, 1.40step/s] Training: 10%|█ | 10329/100000 [2:05:32<18:04:41, 1.38step/s] Training: 10%|█ | 10330/100000 [2:05:32<17:20:48, 1.44step/s] Training: 10%|█ | 10331/100000 [2:05:33<17:00:20, 1.46step/s] Training: 10%|█ | 10332/100000 [2:05:34<17:18:36, 1.44step/s] Training: 10%|█ | 10333/100000 [2:05:34<17:35:10, 1.42step/s] Training: 10%|█ | 10334/100000 [2:05:35<18:32:54, 1.34step/s] Training: 10%|█ | 10335/100000 [2:05:36<18:43:35, 1.33step/s] Training: 10%|█ | 10336/100000 [2:05:37<17:51:26, 1.39step/s] Training: 10%|█ | 10337/100000 [2:05:37<18:26:49, 1.35step/s] Training: 10%|█ | 10338/100000 [2:05:38<17:44:20, 1.40step/s] Training: 10%|█ | 10339/100000 [2:05:39<17:00:55, 1.46step/s] Training: 10%|█ | 10340/100000 [2:05:39<17:16:16, 1.44step/s] Training: 10%|█ | 10341/100000 [2:05:40<17:44:57, 1.40step/s] Training: 10%|█ | 10342/100000 [2:05:41<18:20:30, 1.36step/s] Training: 10%|█ | 10343/100000 [2:05:42<18:12:38, 1.37step/s] Training: 10%|█ | 10344/100000 [2:05:42<17:27:38, 1.43step/s] Training: 10%|█ | 10345/100000 [2:05:43<16:56:55, 1.47step/s] Training: 10%|█ | 10346/100000 [2:05:44<17:44:13, 1.40step/s] Training: 10%|█ | 10347/100000 [2:05:44<17:02:42, 1.46step/s] Training: 10%|█ | 10348/100000 [2:05:45<17:46:37, 1.40step/s] Training: 10%|█ | 10349/100000 [2:05:46<18:13:27, 1.37step/s] Training: 10%|█ | 10350/100000 [2:05:47<18:24:53, 1.35step/s] Training: 10%|█ | 10351/100000 [2:05:47<18:32:04, 1.34step/s] Training: 10%|█ | 10352/100000 [2:05:48<17:40:01, 1.41step/s] Training: 10%|█ | 10353/100000 [2:05:49<17:02:39, 1.46step/s] Training: 10%|█ | 10354/100000 [2:05:49<17:30:18, 1.42step/s] Training: 10%|█ | 10355/100000 [2:05:50<16:44:49, 1.49step/s] Training: 10%|█ | 10356/100000 [2:05:51<17:25:35, 1.43step/s] Training: 10%|█ | 10357/100000 [2:05:52<17:57:37, 1.39step/s] Training: 10%|█ | 10358/100000 [2:05:52<18:25:53, 1.35step/s] Training: 10%|█ | 10359/100000 [2:05:53<18:24:12, 1.35step/s] Training: 10%|█ | 10360/100000 [2:05:54<17:33:47, 1.42step/s] Training: 10%|█ | 10361/100000 [2:05:54<17:01:35, 1.46step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=61388 Training: 10%|█ | 10362/100000 [2:05:55<16:42:05, 1.49step/s] Training: 10%|█ | 10363/100000 [2:05:56<17:57:38, 1.39step/s] Training: 10%|█ | 10364/100000 [2:05:57<17:56:15, 1.39step/s] Training: 10%|█ | 10365/100000 [2:05:57<17:57:46, 1.39step/s] Training: 10%|█ | 10366/100000 [2:05:58<18:26:06, 1.35step/s] Training: 10%|█ | 10367/100000 [2:05:59<18:33:47, 1.34step/s] Training: 10%|█ | 10368/100000 [2:05:59<17:38:39, 1.41step/s] Training: 10%|█ | 10369/100000 [2:06:00<17:01:02, 1.46step/s] Training: 10%|█ | 10370/100000 [2:06:01<17:44:15, 1.40step/s] Training: 10%|█ | 10371/100000 [2:06:01<17:03:35, 1.46step/s] Training: 10%|█ | 10372/100000 [2:06:02<17:10:12, 1.45step/s] Training: 10%|█ | 10373/100000 [2:06:03<17:51:47, 1.39step/s] Training: 10%|█ | 10374/100000 [2:06:04<18:08:01, 1.37step/s] Training: 10%|█ | 10375/100000 [2:06:04<17:48:44, 1.40step/s] Training: 10%|█ | 10376/100000 [2:06:05<17:12:09, 1.45step/s] Training: 10%|█ | 10377/100000 [2:06:06<16:33:17, 1.50step/s] Training: 10%|█ | 10378/100000 [2:06:06<16:15:39, 1.53step/s] Training: 10%|█ | 10379/100000 [2:06:07<17:13:43, 1.44step/s] Training: 10%|█ | 10380/100000 [2:06:08<17:38:41, 1.41step/s] Training: 10%|█ | 10381/100000 [2:06:09<18:23:14, 1.35step/s] Training: 10%|█ | 10382/100000 [2:06:09<18:41:18, 1.33step/s] Training: 10%|█ | 10383/100000 [2:06:10<18:39:49, 1.33step/s] Training: 10%|█ | 10384/100000 [2:06:11<17:35:34, 1.41step/s] Training: 10%|█ | 10385/100000 [2:06:11<16:49:03, 1.48step/s] Training: 10%|█ | 10386/100000 [2:06:12<16:26:35, 1.51step/s] Training: 10%|█ | 10387/100000 [2:06:13<17:18:18, 1.44step/s] Training: 10%|█ | 10388/100000 [2:06:13<17:47:47, 1.40step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=30258 Training: 10%|█ | 10389/100000 [2:06:14<18:43:47, 1.33step/s] Training: 10%|█ | 10390/100000 [2:06:15<18:57:58, 1.31step/s] Training: 10%|█ | 10391/100000 [2:06:16<19:05:44, 1.30step/s] Training: 10%|█ | 10392/100000 [2:06:16<18:03:58, 1.38step/s] Training: 10%|█ | 10393/100000 [2:06:17<17:24:05, 1.43step/s] Training: 10%|█ | 10394/100000 [2:06:18<16:43:54, 1.49step/s] Training: 10%|█ | 10395/100000 [2:06:18<16:57:21, 1.47step/s] Training: 10%|█ | 10396/100000 [2:06:19<17:12:07, 1.45step/s] Training: 10%|█ | 10397/100000 [2:06:20<17:39:11, 1.41step/s] Training: 10%|█ | 10398/100000 [2:06:21<18:25:15, 1.35step/s] Training: 10%|█ | 10399/100000 [2:06:22<18:42:45, 1.33step/s] Training: 10%|█ | 10400/100000 [2:06:22<17:52:21, 1.39step/s]INFO 2026-03-12 05:28:38 ot_train.py:435 step:10K smpl:666K ep:2K epch:8.82 loss:0.374 grdn:12.070 lr:2.0e-05 updt_s:0.696 data_s:0.013 Training: 10%|█ | 10401/100000 [2:06:23<17:19:57, 1.44step/s] Training: 10%|█ | 10402/100000 [2:06:23<16:54:28, 1.47step/s] Training: 10%|█ | 10403/100000 [2:06:24<17:29:08, 1.42step/s] Training: 10%|█ | 10404/100000 [2:06:25<17:31:04, 1.42step/s] Training: 10%|█ | 10405/100000 [2:06:26<18:01:49, 1.38step/s] Training: 10%|█ | 10406/100000 [2:06:26<18:32:20, 1.34step/s] Training: 10%|█ | 10407/100000 [2:06:27<18:18:18, 1.36step/s] Training: 10%|█ | 10408/100000 [2:06:28<17:28:01, 1.42step/s] Training: 10%|█ | 10409/100000 [2:06:28<17:00:00, 1.46step/s] Training: 10%|█ | 10410/100000 [2:06:29<16:31:50, 1.51step/s] Training: 10%|█ | 10411/100000 [2:06:30<17:04:23, 1.46step/s] Training: 10%|█ | 10412/100000 [2:06:30<16:36:14, 1.50step/s] Training: 10%|█ | 10413/100000 [2:06:31<18:22:29, 1.35step/s] Training: 10%|█ | 10414/100000 [2:06:32<18:27:29, 1.35step/s] Training: 10%|█ | 10415/100000 [2:06:33<18:31:28, 1.34step/s] Training: 10%|█ | 10416/100000 [2:06:33<17:37:49, 1.41step/s] Training: 10%|█ | 10417/100000 [2:06:34<16:58:46, 1.47step/s] Training: 10%|█ | 10418/100000 [2:06:35<16:32:49, 1.50step/s] Training: 10%|█ | 10419/100000 [2:06:35<16:05:23, 1.55step/s] Training: 10%|█ | 10420/100000 [2:06:36<17:06:11, 1.45step/s] Training: 10%|█ | 10421/100000 [2:06:37<17:54:20, 1.39step/s] Training: 10%|█ | 10422/100000 [2:06:38<18:08:39, 1.37step/s] Training: 10%|█ | 10423/100000 [2:06:38<18:28:39, 1.35step/s] Training: 10%|█ | 10424/100000 [2:06:39<17:36:11, 1.41step/s] Training: 10%|█ | 10425/100000 [2:06:40<16:51:13, 1.48step/s] Training: 10%|█ | 10426/100000 [2:06:40<16:17:44, 1.53step/s] Training: 10%|█ | 10427/100000 [2:06:41<15:55:02, 1.56step/s] Training: 10%|█ | 10428/100000 [2:06:42<17:09:27, 1.45step/s] Training: 10%|█ | 10429/100000 [2:06:42<17:19:37, 1.44step/s] Training: 10%|█ | 10430/100000 [2:06:43<17:55:05, 1.39step/s] Training: 10%|█ | 10431/100000 [2:06:44<18:11:27, 1.37step/s] Training: 10%|█ | 10432/100000 [2:06:44<17:15:12, 1.44step/s] Training: 10%|█ | 10433/100000 [2:06:45<16:34:22, 1.50step/s] Training: 10%|█ | 10434/100000 [2:06:46<16:15:26, 1.53step/s] Training: 10%|█ | 10435/100000 [2:06:46<16:04:02, 1.55step/s] Training: 10%|█ | 10436/100000 [2:06:47<17:18:48, 1.44step/s] Training: 10%|█ | 10437/100000 [2:06:48<17:44:09, 1.40step/s] Training: 10%|█ | 10438/100000 [2:06:49<17:48:25, 1.40step/s] Training: 10%|█ | 10439/100000 [2:06:49<18:26:33, 1.35step/s] Training: 10%|█ | 10440/100000 [2:06:50<17:38:51, 1.41step/s] Training: 10%|█ | 10441/100000 [2:06:51<17:06:50, 1.45step/s] Training: 10%|█ | 10442/100000 [2:06:51<16:38:37, 1.49step/s] Training: 10%|█ | 10443/100000 [2:06:52<16:10:06, 1.54step/s] Training: 10%|█ | 10444/100000 [2:06:53<17:16:49, 1.44step/s] Training: 10%|█ | 10445/100000 [2:06:54<17:53:17, 1.39step/s] Training: 10%|█ | 10446/100000 [2:06:54<18:10:10, 1.37step/s] Training: 10%|█ | 10447/100000 [2:06:55<18:30:20, 1.34step/s] Training: 10%|█ | 10448/100000 [2:06:56<17:39:31, 1.41step/s] Training: 10%|█ | 10449/100000 [2:06:56<17:02:58, 1.46step/s] Training: 10%|█ | 10450/100000 [2:06:57<16:44:39, 1.49step/s] Training: 10%|█ | 10451/100000 [2:06:58<16:33:26, 1.50step/s] Training: 10%|█ | 10452/100000 [2:06:58<17:19:07, 1.44step/s] Training: 10%|█ | 10453/100000 [2:06:59<18:12:37, 1.37step/s] Training: 10%|█ | 10454/100000 [2:07:00<18:26:04, 1.35step/s] Training: 10%|█ | 10455/100000 [2:07:01<18:49:31, 1.32step/s] Training: 10%|█ | 10456/100000 [2:07:01<17:56:02, 1.39step/s] Training: 10%|█ | 10457/100000 [2:07:02<17:15:42, 1.44step/s] Training: 10%|█ | 10458/100000 [2:07:03<16:51:58, 1.47step/s] Training: 10%|█ | 10459/100000 [2:07:03<16:28:28, 1.51step/s] Training: 10%|█ | 10460/100000 [2:07:04<17:28:21, 1.42step/s] Training: 10%|█ | 10461/100000 [2:07:05<18:01:37, 1.38step/s] Training: 10%|█ | 10462/100000 [2:07:06<18:30:53, 1.34step/s] Training: 10%|█ | 10463/100000 [2:07:06<18:51:16, 1.32step/s] Training: 10%|█ | 10464/100000 [2:07:07<17:56:59, 1.39step/s] Training: 10%|█ | 10465/100000 [2:07:08<17:12:24, 1.45step/s] Training: 10%|█ | 10466/100000 [2:07:08<16:43:35, 1.49step/s] Training: 10%|█ | 10467/100000 [2:07:09<16:22:05, 1.52step/s] Training: 10%|█ | 10468/100000 [2:07:10<17:09:47, 1.45step/s] Training: 10%|█ | 10469/100000 [2:07:10<17:39:46, 1.41step/s] Training: 10%|█ | 10470/100000 [2:07:11<18:04:54, 1.38step/s] Training: 10%|█ | 10471/100000 [2:07:12<18:27:19, 1.35step/s] Training: 10%|█ | 10472/100000 [2:07:13<17:36:25, 1.41step/s] Training: 10%|█ | 10473/100000 [2:07:13<16:59:35, 1.46step/s] Training: 10%|█ | 10474/100000 [2:07:14<16:35:03, 1.50step/s] Training: 10%|█ | 10475/100000 [2:07:15<16:14:06, 1.53step/s] Training: 10%|█ | 10476/100000 [2:07:15<15:53:02, 1.57step/s] Training: 10%|█ | 10477/100000 [2:07:16<17:55:41, 1.39step/s] Training: 10%|█ | 10478/100000 [2:07:17<18:03:16, 1.38step/s] Training: 10%|█ | 10479/100000 [2:07:18<18:28:54, 1.35step/s] Training: 10%|█ | 10480/100000 [2:07:18<17:37:30, 1.41step/s] Training: 10%|█ | 10481/100000 [2:07:19<17:03:10, 1.46step/s] Training: 10%|█ | 10482/100000 [2:07:19<16:35:14, 1.50step/s] Training: 10%|█ | 10483/100000 [2:07:20<16:16:16, 1.53step/s] Training: 10%|█ | 10484/100000 [2:07:21<16:46:04, 1.48step/s] Training: 10%|█ | 10485/100000 [2:07:22<17:29:56, 1.42step/s] Training: 10%|█ | 10486/100000 [2:07:22<18:20:20, 1.36step/s] Training: 10%|█ | 10487/100000 [2:07:23<18:40:10, 1.33step/s] Training: 10%|█ | 10488/100000 [2:07:24<17:43:16, 1.40step/s] Training: 10%|█ | 10489/100000 [2:07:24<17:04:05, 1.46step/s] Training: 10%|█ | 10490/100000 [2:07:25<16:37:14, 1.50step/s] Training: 10%|█ | 10491/100000 [2:07:26<16:10:49, 1.54step/s] Training: 10%|█ | 10492/100000 [2:07:26<16:36:31, 1.50step/s] Training: 10%|█ | 10493/100000 [2:07:27<17:11:00, 1.45step/s] Training: 10%|█ | 10494/100000 [2:07:28<17:51:11, 1.39step/s] Training: 10%|█ | 10495/100000 [2:07:29<18:24:58, 1.35step/s] Training: 10%|█ | 10496/100000 [2:07:29<17:32:25, 1.42step/s] Training: 10%|█ | 10497/100000 [2:07:30<17:00:59, 1.46step/s] Training: 10%|█ | 10498/100000 [2:07:31<16:26:17, 1.51step/s] Training: 10%|█ | 10499/100000 [2:07:31<16:00:16, 1.55step/s] Training: 10%|█ | 10500/100000 [2:07:32<16:37:52, 1.49step/s]INFO 2026-03-12 05:29:48 ot_train.py:435 step:10K smpl:672K ep:2K epch:8.90 loss:0.386 grdn:12.065 lr:1.9e-05 updt_s:0.683 data_s:0.013 Training: 11%|█ | 10501/100000 [2:07:33<17:16:22, 1.44step/s] Training: 11%|█ | 10502/100000 [2:07:33<17:42:08, 1.40step/s] Training: 11%|█ | 10503/100000 [2:07:34<18:39:29, 1.33step/s] Training: 11%|█ | 10504/100000 [2:07:35<17:42:14, 1.40step/s] Training: 11%|█ | 10505/100000 [2:07:35<16:54:14, 1.47step/s] Training: 11%|█ | 10506/100000 [2:07:36<16:19:51, 1.52step/s] Training: 11%|█ | 10507/100000 [2:07:37<15:55:46, 1.56step/s] Training: 11%|█ | 10508/100000 [2:07:37<16:16:27, 1.53step/s] Training: 11%|█ | 10509/100000 [2:07:38<17:03:16, 1.46step/s] Training: 11%|█ | 10510/100000 [2:07:39<17:49:34, 1.39step/s] Training: 11%|█ | 10511/100000 [2:07:40<18:08:32, 1.37step/s] Training: 11%|█ | 10512/100000 [2:07:40<17:14:59, 1.44step/s] Training: 11%|█ | 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| 10607/100000 [2:08:47<17:18:47, 1.43step/s] Training: 11%|█ | 10608/100000 [2:08:48<16:52:31, 1.47step/s] Training: 11%|█ | 10609/100000 [2:08:49<17:36:01, 1.41step/s] Training: 11%|█ | 10610/100000 [2:08:49<16:59:29, 1.46step/s] Training: 11%|█ | 10611/100000 [2:08:50<16:17:06, 1.52step/s] Training: 11%|█ | 10612/100000 [2:08:51<16:34:39, 1.50step/s] Training: 11%|█ | 10613/100000 [2:08:51<17:01:39, 1.46step/s] Training: 11%|█ | 10614/100000 [2:08:52<17:22:23, 1.43step/s] Training: 11%|█ | 10615/100000 [2:08:53<17:37:10, 1.41step/s] Training: 11%|█ | 10616/100000 [2:08:54<17:43:58, 1.40step/s] Training: 11%|█ | 10617/100000 [2:08:54<17:48:16, 1.39step/s] Training: 11%|█ | 10618/100000 [2:08:55<16:51:25, 1.47step/s] Training: 11%|█ | 10619/100000 [2:08:55<16:11:43, 1.53step/s] Training: 11%|█ | 10620/100000 [2:08:58<27:35:24, 1.11s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 11%|█ | 10621/100000 [2:09:02<50:37:06, 2.04s/step] Training: 11%|█ | 10622/100000 [2:09:03<41:41:53, 1.68s/step] Training: 11%|█ | 10623/100000 [2:09:04<35:19:30, 1.42s/step] Training: 11%|█ | 10624/100000 [2:09:04<30:35:44, 1.23s/step] Training: 11%|█ | 10625/100000 [2:09:05<27:10:10, 1.09s/step] Training: 11%|█ | 10626/100000 [2:09:06<23:39:19, 1.05step/s] Training: 11%|█ | 10627/100000 [2:09:06<21:22:52, 1.16step/s] Training: 11%|█ | 10628/100000 [2:09:07<21:01:03, 1.18step/s] Training: 11%|█ | 10629/100000 [2:09:08<20:33:30, 1.21step/s] Training: 11%|█ | 10630/100000 [2:09:09<20:16:10, 1.22step/s] Training: 11%|█ | 10631/100000 [2:09:10<19:47:57, 1.25step/s] Training: 11%|█ | 10632/100000 [2:09:10<19:22:03, 1.28step/s] Training: 11%|█ | 10633/100000 [2:09:11<18:54:31, 1.31step/s] Training: 11%|█ | 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10883/100000 [2:12:09<16:07:46, 1.53step/s] Training: 11%|█ | 10884/100000 [2:12:10<16:59:49, 1.46step/s] Training: 11%|█ | 10885/100000 [2:12:11<17:23:43, 1.42step/s] Training: 11%|█ | 10886/100000 [2:12:12<17:34:52, 1.41step/s] Training: 11%|█ | 10887/100000 [2:12:12<17:41:18, 1.40step/s] Training: 11%|█ | 10888/100000 [2:12:13<18:18:59, 1.35step/s] Training: 11%|█ | 10889/100000 [2:12:14<17:33:07, 1.41step/s] Training: 11%|█ | 10890/100000 [2:12:15<16:57:13, 1.46step/s] Training: 11%|█ | 10891/100000 [2:12:15<16:36:12, 1.49step/s] Training: 11%|█ | 10892/100000 [2:12:16<16:59:42, 1.46step/s] Training: 11%|█ | 10893/100000 [2:12:17<17:57:23, 1.38step/s] Training: 11%|█ | 10894/100000 [2:12:17<18:13:43, 1.36step/s] Training: 11%|█ | 10895/100000 [2:12:18<18:40:16, 1.33step/s] Training: 11%|█ | 10896/100000 [2:12:19<18:40:56, 1.32step/s] Training: 11%|█ | 10897/100000 [2:12:20<18:56:15, 1.31step/s] Training: 11%|█ | 10898/100000 [2:12:20<17:43:27, 1.40step/s] Training: 11%|█ | 10899/100000 [2:12:21<17:04:19, 1.45step/s] Training: 11%|█ | 10900/100000 [2:12:22<17:43:56, 1.40step/s]INFO 2026-03-12 05:34:38 ot_train.py:435 step:11K smpl:698K ep:2K epch:9.24 loss:0.319 grdn:11.030 lr:1.9e-05 updt_s:0.698 data_s:0.012 Training: 11%|█ | 10901/100000 [2:12:23<18:02:37, 1.37step/s] Training: 11%|█ | 10902/100000 [2:12:23<18:33:22, 1.33step/s] Training: 11%|█ | 10903/100000 [2:12:24<18:49:41, 1.31step/s] Training: 11%|█ | 10904/100000 [2:12:25<18:31:30, 1.34step/s] Training: 11%|█ | 10905/100000 [2:12:26<18:34:49, 1.33step/s] Training: 11%|█ | 10906/100000 [2:12:26<17:38:56, 1.40step/s] Training: 11%|█ | 10907/100000 [2:12:27<17:00:06, 1.46step/s] Training: 11%|█ | 10908/100000 [2:12:28<17:37:05, 1.40step/s] Training: 11%|█ | 10909/100000 [2:12:28<17:43:03, 1.40step/s] Training: 11%|█ | 10910/100000 [2:12:29<17:53:27, 1.38step/s] Training: 11%|█ | 10911/100000 [2:12:30<17:46:35, 1.39step/s] Training: 11%|█ | 10912/100000 [2:12:31<17:53:04, 1.38step/s] Training: 11%|█ | 10913/100000 [2:12:31<17:10:34, 1.44step/s] Training: 11%|█ | 10914/100000 [2:12:32<17:42:37, 1.40step/s] Training: 11%|█ | 10915/100000 [2:12:33<16:59:23, 1.46step/s] Training: 11%|█ | 10916/100000 [2:12:33<17:34:45, 1.41step/s] Training: 11%|█ | 10917/100000 [2:12:34<17:48:40, 1.39step/s] Training: 11%|█ | 10918/100000 [2:12:35<18:00:00, 1.37step/s] Training: 11%|█ | 10919/100000 [2:12:36<17:46:16, 1.39step/s] Training: 11%|█ | 10920/100000 [2:12:36<18:05:48, 1.37step/s] Training: 11%|█ | 10921/100000 [2:12:37<18:29:07, 1.34step/s] Training: 11%|█ | 10922/100000 [2:12:38<17:34:01, 1.41step/s] Training: 11%|█ | 10923/100000 [2:12:38<16:49:55, 1.47step/s] Training: 11%|█ | 10924/100000 [2:12:39<17:09:00, 1.44step/s] Training: 11%|█ | 10925/100000 [2:12:40<17:46:54, 1.39step/s] Training: 11%|█ | 10926/100000 [2:12:41<18:14:10, 1.36step/s] Training: 11%|█ | 10927/100000 [2:12:41<18:22:22, 1.35step/s] Training: 11%|█ | 10928/100000 [2:12:42<18:40:53, 1.32step/s] Training: 11%|█ | 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10993/100000 [2:13:29<17:45:15, 1.39step/s] Training: 11%|█ | 10994/100000 [2:13:30<16:53:35, 1.46step/s] Training: 11%|█ | 10995/100000 [2:13:31<17:40:12, 1.40step/s] Training: 11%|█ | 10996/100000 [2:13:31<17:57:44, 1.38step/s] Training: 11%|█ | 10997/100000 [2:13:32<17:56:01, 1.38step/s] Training: 11%|█ | 10998/100000 [2:13:33<18:21:19, 1.35step/s] Training: 11%|█ | 10999/100000 [2:13:34<18:34:50, 1.33step/s] Training: 11%|█ | 11000/100000 [2:13:34<18:13:02, 1.36step/s]INFO 2026-03-12 05:35:50 ot_train.py:435 step:11K smpl:704K ep:2K epch:9.32 loss:0.331 grdn:11.705 lr:1.9e-05 updt_s:0.710 data_s:0.012 Training: 11%|█ | 11001/100000 [2:13:35<17:22:43, 1.42step/s] Training: 11%|█ | 11002/100000 [2:13:36<16:50:21, 1.47step/s] Training: 11%|█ | 11003/100000 [2:13:36<16:24:30, 1.51step/s] Training: 11%|█ | 11004/100000 [2:13:37<17:14:00, 1.43step/s] Training: 11%|█ | 11005/100000 [2:13:38<16:31:57, 1.50step/s] Training: 11%|█ | 11006/100000 [2:13:38<17:18:36, 1.43step/s] Training: 11%|█ | 11007/100000 [2:13:39<17:26:01, 1.42step/s] Training: 11%|█ | 11008/100000 [2:13:40<17:12:48, 1.44step/s] Training: 11%|█ | 11009/100000 [2:13:40<16:41:59, 1.48step/s] Training: 11%|█ | 11010/100000 [2:13:41<16:20:43, 1.51step/s] Training: 11%|█ | 11011/100000 [2:13:42<16:12:29, 1.53step/s] Training: 11%|█ | 11012/100000 [2:13:42<17:07:41, 1.44step/s] Training: 11%|█ | 11013/100000 [2:13:43<17:36:48, 1.40step/s] Training: 11%|█ | 11014/100000 [2:13:44<18:01:25, 1.37step/s] Training: 11%|█ | 11015/100000 [2:13:45<18:07:01, 1.36step/s] Training: 11%|█ | 11016/100000 [2:13:45<18:14:57, 1.35step/s] Training: 11%|█ | 11017/100000 [2:13:46<17:30:34, 1.41step/s] Training: 11%|█ | 11018/100000 [2:13:47<16:57:00, 1.46step/s] Training: 11%|█ | 11019/100000 [2:13:47<16:34:24, 1.49step/s] Training: 11%|█ | 11020/100000 [2:13:48<17:31:35, 1.41step/s] Training: 11%|█ | 11021/100000 [2:13:49<17:50:28, 1.39step/s] Training: 11%|█ | 11022/100000 [2:13:50<18:07:48, 1.36step/s] Training: 11%|█ | 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11055/100000 [2:14:13<16:56:53, 1.46step/s] Training: 11%|█ | 11056/100000 [2:14:13<17:32:38, 1.41step/s] Training: 11%|█ | 11057/100000 [2:14:14<16:53:34, 1.46step/s] Training: 11%|█ | 11058/100000 [2:14:15<16:30:06, 1.50step/s] Training: 11%|█ | 11059/100000 [2:14:15<16:14:30, 1.52step/s] Training: 11%|█ | 11060/100000 [2:14:16<16:56:50, 1.46step/s] Training: 11%|█ | 11061/100000 [2:14:17<17:48:00, 1.39step/s] Training: 11%|█ | 11062/100000 [2:14:17<18:04:43, 1.37step/s] Training: 11%|█ | 11063/100000 [2:14:18<17:16:13, 1.43step/s] Training: 11%|█ | 11064/100000 [2:14:19<17:58:54, 1.37step/s] Training: 11%|█ | 11065/100000 [2:14:20<17:16:59, 1.43step/s] Training: 11%|█ | 11066/100000 [2:14:20<16:50:00, 1.47step/s] Training: 11%|█ | 11067/100000 [2:14:21<16:26:17, 1.50step/s] Training: 11%|█ | 11068/100000 [2:14:22<16:58:46, 1.45step/s] Training: 11%|█ | 11069/100000 [2:14:22<16:30:29, 1.50step/s] Training: 11%|█ | 11070/100000 [2:14:23<17:31:33, 1.41step/s] Training: 11%|█ | 11071/100000 [2:14:24<16:52:59, 1.46step/s] Training: 11%|█ | 11072/100000 [2:14:24<17:17:47, 1.43step/s] Training: 11%|█ | 11073/100000 [2:14:25<16:44:28, 1.48step/s] Training: 11%|█ | 11074/100000 [2:14:26<16:21:40, 1.51step/s] Training: 11%|█ | 11075/100000 [2:14:26<16:14:11, 1.52step/s] Training: 11%|█ | 11076/100000 [2:14:27<16:47:40, 1.47step/s] Training: 11%|█ | 11077/100000 [2:14:28<17:24:00, 1.42step/s] Training: 11%|█ | 11078/100000 [2:14:29<18:05:04, 1.37step/s] Training: 11%|█ | 11079/100000 [2:14:29<17:22:21, 1.42step/s] Training: 11%|█ | 11080/100000 [2:14:30<17:53:09, 1.38step/s] Training: 11%|█ | 11081/100000 [2:14:31<17:11:41, 1.44step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=72226 Training: 11%|█ | 11082/100000 [2:14:31<16:56:19, 1.46step/s] Training: 11%|█ | 11083/100000 [2:14:32<16:21:45, 1.51step/s] Training: 11%|█ | 11084/100000 [2:14:33<16:43:08, 1.48step/s] Training: 11%|█ | 11085/100000 [2:14:33<17:00:00, 1.45step/s] Training: 11%|█ | 11086/100000 [2:14:34<17:36:17, 1.40step/s] Training: 11%|█ | 11087/100000 [2:14:35<16:58:07, 1.46step/s] Training: 11%|█ | 11088/100000 [2:14:35<17:49:23, 1.39step/s] Training: 11%|█ | 11089/100000 [2:14:36<17:10:09, 1.44step/s] Training: 11%|█ | 11090/100000 [2:14:37<16:34:24, 1.49step/s] Training: 11%|█ | 11091/100000 [2:14:37<16:20:37, 1.51step/s] Training: 11%|█ | 11092/100000 [2:14:38<17:05:38, 1.44step/s] Training: 11%|█ | 11093/100000 [2:14:39<17:32:57, 1.41step/s] Training: 11%|█ | 11094/100000 [2:14:40<18:20:57, 1.35step/s] Training: 11%|█ | 11095/100000 [2:14:40<17:28:50, 1.41step/s] Training: 11%|█ | 11096/100000 [2:14:41<17:48:47, 1.39step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=64210 Training: 11%|█ | 11097/100000 [2:14:42<17:04:50, 1.45step/s] Training: 11%|█ | 11098/100000 [2:14:42<16:28:42, 1.50step/s] Training: 11%|█ | 11099/100000 [2:14:43<15:59:32, 1.54step/s] Training: 11%|█ | 11100/100000 [2:14:44<16:54:09, 1.46step/s]INFO 2026-03-12 05:37:00 ot_train.py:435 step:11K smpl:710K ep:2K epch:9.41 loss:0.336 grdn:11.916 lr:1.9e-05 updt_s:0.679 data_s:0.012 Training: 11%|█ | 11101/100000 [2:14:44<16:26:54, 1.50step/s] Training: 11%|█ | 11102/100000 [2:14:45<17:19:05, 1.43step/s] Training: 11%|█ | 11103/100000 [2:14:46<16:44:13, 1.48step/s] Training: 11%|█ | 11104/100000 [2:14:46<17:18:14, 1.43step/s] Training: 11%|█ | 11105/100000 [2:14:47<16:44:31, 1.47step/s] Training: 11%|█ | 11106/100000 [2:14:48<16:21:19, 1.51step/s] Training: 11%|█ | 11107/100000 [2:14:48<16:08:56, 1.53step/s] Training: 11%|█ | 11108/100000 [2:14:49<17:12:09, 1.44step/s] Training: 11%|█ | 11109/100000 [2:14:50<17:36:55, 1.40step/s] Training: 11%|█ | 11110/100000 [2:14:51<18:05:56, 1.36step/s] Training: 11%|█ | 11111/100000 [2:14:51<18:26:43, 1.34step/s] Training: 11%|█ | 11112/100000 [2:14:52<18:51:02, 1.31step/s] Training: 11%|█ | 11113/100000 [2:14:53<17:51:31, 1.38step/s] Training: 11%|█ | 11114/100000 [2:14:53<17:09:41, 1.44step/s] Training: 11%|█ | 11115/100000 [2:14:54<16:30:14, 1.50step/s] Training: 11%|█ | 11116/100000 [2:14:55<16:51:11, 1.47step/s] Training: 11%|█ | 11117/100000 [2:14:56<17:27:45, 1.41step/s] Training: 11%|█ | 11118/100000 [2:14:56<18:00:41, 1.37step/s] Training: 11%|█ | 11119/100000 [2:14:57<18:14:54, 1.35step/s] Training: 11%|█ | 11120/100000 [2:14:58<18:36:36, 1.33step/s] Training: 11%|█ | 11121/100000 [2:14:59<17:32:41, 1.41step/s] Training: 11%|█ | 11122/100000 [2:14:59<16:53:38, 1.46step/s] Training: 11%|█ | 11123/100000 [2:15:00<16:33:24, 1.49step/s] Training: 11%|█ | 11124/100000 [2:15:01<17:09:34, 1.44step/s] Training: 11%|█ | 11125/100000 [2:15:01<17:38:37, 1.40step/s] Training: 11%|█ | 11126/100000 [2:15:02<17:38:12, 1.40step/s] Training: 11%|█ | 11127/100000 [2:15:03<18:12:35, 1.36step/s] Training: 11%|█ | 11128/100000 [2:15:04<18:23:55, 1.34step/s] Training: 11%|█ | 11129/100000 [2:15:04<17:31:34, 1.41step/s] Training: 11%|█ | 11130/100000 [2:15:05<16:51:13, 1.46step/s] Training: 11%|█ | 11131/100000 [2:15:05<16:32:14, 1.49step/s] Training: 11%|█ | 11132/100000 [2:15:06<17:20:31, 1.42step/s] Training: 11%|█ | 11133/100000 [2:15:07<16:51:20, 1.46step/s] Training: 11%|█ | 11134/100000 [2:15:08<17:23:49, 1.42step/s] Training: 11%|█ | 11135/100000 [2:15:08<17:26:19, 1.42step/s] Training: 11%|█ | 11136/100000 [2:15:09<17:57:09, 1.37step/s] Training: 11%|█ | 11137/100000 [2:15:10<17:09:31, 1.44step/s] Training: 11%|█ | 11138/100000 [2:15:10<16:36:56, 1.49step/s] Training: 11%|█ | 11139/100000 [2:15:11<16:13:23, 1.52step/s] Training: 11%|█ | 11140/100000 [2:15:12<16:53:35, 1.46step/s] Training: 11%|█ | 11141/100000 [2:15:12<17:20:37, 1.42step/s] Training: 11%|█ | 11142/100000 [2:15:13<18:08:29, 1.36step/s] Training: 11%|█ | 11143/100000 [2:15:14<18:20:49, 1.35step/s] Training: 11%|█ | 11144/100000 [2:15:15<19:00:14, 1.30step/s] Training: 11%|█ | 11145/100000 [2:15:15<17:50:33, 1.38step/s] Training: 11%|█ | 11146/100000 [2:15:16<17:08:50, 1.44step/s] Training: 11%|█ | 11147/100000 [2:15:17<16:35:53, 1.49step/s] Training: 11%|█ | 11148/100000 [2:15:17<17:08:23, 1.44step/s] Training: 11%|█ | 11149/100000 [2:15:18<17:46:18, 1.39step/s] Training: 11%|█ | 11150/100000 [2:15:19<18:12:51, 1.36step/s] Training: 11%|█ | 11151/100000 [2:15:20<18:21:27, 1.34step/s] Training: 11%|█ | 11152/100000 [2:15:21<19:00:52, 1.30step/s] Training: 11%|█ | 11153/100000 [2:15:21<18:01:54, 1.37step/s] Training: 11%|█ | 11154/100000 [2:15:22<17:19:47, 1.42step/s] Training: 11%|█ | 11155/100000 [2:15:23<16:55:36, 1.46step/s] Training: 11%|█ | 11156/100000 [2:15:23<17:43:35, 1.39step/s] Training: 11%|█ | 11157/100000 [2:15:24<17:40:59, 1.40step/s] Training: 11%|█ | 11158/100000 [2:15:25<17:40:25, 1.40step/s] Training: 11%|█ | 11159/100000 [2:15:26<18:03:10, 1.37step/s] Training: 11%|█ | 11160/100000 [2:15:26<18:29:58, 1.33step/s] Training: 11%|█ | 11161/100000 [2:15:27<17:29:08, 1.41step/s] Training: 11%|█ | 11162/100000 [2:15:28<16:41:11, 1.48step/s] Training: 11%|█ | 11163/100000 [2:15:28<16:19:50, 1.51step/s] Training: 11%|█ | 11164/100000 [2:15:29<17:03:31, 1.45step/s] Training: 11%|█ | 11165/100000 [2:15:30<16:35:35, 1.49step/s] Training: 11%|█ | 11166/100000 [2:15:30<17:33:16, 1.41step/s] Training: 11%|█ | 11167/100000 [2:15:31<17:54:02, 1.38step/s] Training: 11%|█ | 11168/100000 [2:15:32<17:57:03, 1.37step/s] Training: 11%|█ | 11169/100000 [2:15:33<18:18:23, 1.35step/s] Training: 11%|█ | 11170/100000 [2:15:33<17:23:17, 1.42step/s] Training: 11%|█ | 11171/100000 [2:15:34<16:47:25, 1.47step/s] Training: 11%|█ | 11172/100000 [2:15:35<17:22:17, 1.42step/s] Training: 11%|█ | 11173/100000 [2:15:35<17:44:43, 1.39step/s] Training: 11%|█ | 11174/100000 [2:15:36<18:09:34, 1.36step/s] Training: 11%|█ | 11175/100000 [2:15:37<18:23:51, 1.34step/s] Training: 11%|█ | 11176/100000 [2:15:38<18:40:47, 1.32step/s] Training: 11%|█ | 11177/100000 [2:15:38<18:52:53, 1.31step/s] Training: 11%|█ | 11178/100000 [2:15:39<17:56:30, 1.38step/s] Training: 11%|█ | 11179/100000 [2:15:40<17:17:24, 1.43step/s] Training: 11%|█ | 11180/100000 [2:15:41<17:38:20, 1.40step/s] Training: 11%|█ | 11181/100000 [2:15:41<17:37:33, 1.40step/s] Training: 11%|█ | 11182/100000 [2:15:42<18:24:27, 1.34step/s] Training: 11%|█ | 11183/100000 [2:15:43<18:22:45, 1.34step/s] Training: 11%|█ | 11184/100000 [2:15:44<18:46:55, 1.31step/s] Training: 11%|█ | 11185/100000 [2:15:44<18:40:44, 1.32step/s] Training: 11%|█ | 11186/100000 [2:15:45<17:39:30, 1.40step/s] Training: 11%|█ | 11187/100000 [2:15:46<16:57:56, 1.45step/s] Training: 11%|█ | 11188/100000 [2:15:46<17:18:46, 1.42step/s] Training: 11%|█ | 11189/100000 [2:15:47<17:24:37, 1.42step/s] Training: 11%|█ | 11190/100000 [2:15:48<17:30:25, 1.41step/s] Training: 11%|█ | 11191/100000 [2:15:49<18:45:10, 1.32step/s] Training: 11%|█ | 11192/100000 [2:15:49<18:42:18, 1.32step/s] Training: 11%|█ | 11193/100000 [2:15:50<18:54:26, 1.30step/s] Training: 11%|█ | 11194/100000 [2:15:51<17:50:25, 1.38step/s] Training: 11%|█ | 11195/100000 [2:15:51<16:56:47, 1.46step/s] Training: 11%|█ | 11196/100000 [2:15:52<17:28:58, 1.41step/s] Training: 11%|█ | 11197/100000 [2:15:53<16:53:34, 1.46step/s] Training: 11%|█ | 11198/100000 [2:15:54<17:40:17, 1.40step/s] Training: 11%|█ | 11199/100000 [2:15:54<17:44:36, 1.39step/s] Training: 11%|█ | 11200/100000 [2:15:55<17:50:03, 1.38step/s]INFO 2026-03-12 05:38:11 ot_train.py:435 step:11K smpl:717K ep:2K epch:9.49 loss:0.363 grdn:12.146 lr:1.9e-05 updt_s:0.699 data_s:0.012 Training: 11%|█ | 11201/100000 [2:15:56<17:44:36, 1.39step/s] Training: 11%|█ | 11202/100000 [2:15:56<17:03:40, 1.45step/s] Training: 11%|█ | 11203/100000 [2:15:57<16:31:28, 1.49step/s] Training: 11%|█ | 11204/100000 [2:15:58<16:58:01, 1.45step/s] Training: 11%|█ | 11205/100000 [2:15:58<17:38:21, 1.40step/s] Training: 11%|█ | 11206/100000 [2:15:59<17:42:00, 1.39step/s] Training: 11%|█ | 11207/100000 [2:16:00<18:13:19, 1.35step/s] Training: 11%|█ | 11208/100000 [2:16:01<18:42:31, 1.32step/s] Training: 11%|█ | 11209/100000 [2:16:01<17:51:16, 1.38step/s] Training: 11%|█ | 11210/100000 [2:16:02<18:17:21, 1.35step/s] Training: 11%|█ | 11211/100000 [2:16:03<17:25:36, 1.42step/s] Training: 11%|█ | 11212/100000 [2:16:04<17:29:21, 1.41step/s] Training: 11%|█ | 11213/100000 [2:16:04<18:07:48, 1.36step/s] Training: 11%|█ | 11214/100000 [2:16:05<18:16:57, 1.35step/s] Training: 11%|█ | 11215/100000 [2:16:06<18:29:52, 1.33step/s] Training: 11%|█ | 11216/100000 [2:16:07<18:39:39, 1.32step/s] Training: 11%|█ | 11217/100000 [2:16:07<17:49:27, 1.38step/s] Training: 11%|█ | 11218/100000 [2:16:08<18:16:45, 1.35step/s] Training: 11%|█ | 11219/100000 [2:16:09<17:22:51, 1.42step/s] Training: 11%|█ | 11220/100000 [2:16:09<17:44:16, 1.39step/s] Training: 11%|█ | 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Training: 11%|█▏ | 11285/100000 [2:16:56<17:32:32, 1.40step/s] Training: 11%|█▏ | 11286/100000 [2:16:57<18:02:41, 1.37step/s] Training: 11%|█▏ | 11287/100000 [2:16:58<18:15:50, 1.35step/s] Training: 11%|█▏ | 11288/100000 [2:16:58<18:12:30, 1.35step/s] Training: 11%|█▏ | 11289/100000 [2:16:59<17:30:14, 1.41step/s] Training: 11%|█▏ | 11290/100000 [2:17:00<16:46:17, 1.47step/s] Training: 11%|█▏ | 11291/100000 [2:17:00<16:10:58, 1.52step/s] Training: 11%|█▏ | 11292/100000 [2:17:01<17:03:56, 1.44step/s] Training: 11%|█▏ | 11293/100000 [2:17:02<16:41:14, 1.48step/s] Training: 11%|█▏ | 11294/100000 [2:17:02<17:26:34, 1.41step/s] Training: 11%|█▏ | 11295/100000 [2:17:03<17:20:57, 1.42step/s] Training: 11%|█▏ | 11296/100000 [2:17:04<17:22:54, 1.42step/s] Training: 11%|█▏ | 11297/100000 [2:17:04<16:48:46, 1.47step/s] Training: 11%|█▏ | 11298/100000 [2:17:05<16:16:04, 1.51step/s] Training: 11%|█▏ | 11299/100000 [2:17:06<16:05:34, 1.53step/s] Training: 11%|█▏ | 11300/100000 [2:17:06<16:56:48, 1.45step/s]INFO 2026-03-12 05:39:22 ot_train.py:435 step:11K smpl:723K ep:2K epch:9.58 loss:0.342 grdn:11.951 lr:1.9e-05 updt_s:0.699 data_s:0.013 Training: 11%|█▏ | 11301/100000 [2:17:07<17:30:11, 1.41step/s] Training: 11%|█▏ | 11302/100000 [2:17:08<17:59:04, 1.37step/s] Training: 11%|█▏ | 11303/100000 [2:17:09<18:13:30, 1.35step/s] Training: 11%|█▏ | 11304/100000 [2:17:10<18:30:44, 1.33step/s] Training: 11%|█▏ | 11305/100000 [2:17:10<17:27:28, 1.41step/s] Training: 11%|█▏ | 11306/100000 [2:17:11<16:51:40, 1.46step/s] Training: 11%|█▏ | 11307/100000 [2:17:11<16:38:15, 1.48step/s] Training: 11%|█▏ | 11308/100000 [2:17:12<17:08:53, 1.44step/s] Training: 11%|█▏ | 11309/100000 [2:17:13<17:36:35, 1.40step/s] Training: 11%|█▏ | 11310/100000 [2:17:14<17:59:39, 1.37step/s] Training: 11%|█▏ | 11311/100000 [2:17:14<18:08:24, 1.36step/s] Training: 11%|█▏ | 11312/100000 [2:17:15<18:37:25, 1.32step/s] Training: 11%|█▏ | 11313/100000 [2:17:16<17:35:29, 1.40step/s] Training: 11%|█▏ | 11314/100000 [2:17:16<16:47:12, 1.47step/s] Training: 11%|█▏ | 11315/100000 [2:17:17<16:29:19, 1.49step/s] Training: 11%|█▏ | 11316/100000 [2:17:18<17:10:15, 1.43step/s] Training: 11%|█▏ | 11317/100000 [2:17:19<17:08:11, 1.44step/s] Training: 11%|█▏ | 11318/100000 [2:17:19<17:40:19, 1.39step/s] Training: 11%|█▏ | 11319/100000 [2:17:20<17:59:38, 1.37step/s] Training: 11%|█▏ | 11320/100000 [2:17:21<17:52:04, 1.38step/s] Training: 11%|█▏ | 11321/100000 [2:17:21<17:06:37, 1.44step/s] Training: 11%|█▏ | 11322/100000 [2:17:22<16:32:58, 1.49step/s] Training: 11%|█▏ | 11323/100000 [2:17:23<16:09:15, 1.52step/s] Training: 11%|█▏ | 11324/100000 [2:17:23<16:45:24, 1.47step/s] Training: 11%|█▏ | 11325/100000 [2:17:24<17:26:18, 1.41step/s] Training: 11%|█▏ | 11326/100000 [2:17:25<17:57:51, 1.37step/s] Training: 11%|█▏ | 11327/100000 [2:17:26<18:06:09, 1.36step/s] Training: 11%|█▏ | 11328/100000 [2:17:26<18:30:32, 1.33step/s] Training: 11%|█▏ | 11329/100000 [2:17:27<17:35:09, 1.40step/s] Training: 11%|█▏ | 11330/100000 [2:17:28<16:52:38, 1.46step/s] Training: 11%|█▏ | 11331/100000 [2:17:28<16:24:55, 1.50step/s] Training: 11%|█▏ | 11332/100000 [2:17:29<16:47:34, 1.47step/s] Training: 11%|█▏ | 11333/100000 [2:17:30<17:32:58, 1.40step/s] Training: 11%|█▏ | 11334/100000 [2:17:31<17:56:05, 1.37step/s] Training: 11%|█▏ | 11335/100000 [2:17:31<17:43:40, 1.39step/s] Training: 11%|█▏ | 11336/100000 [2:17:32<18:30:17, 1.33step/s] Training: 11%|█▏ | 11337/100000 [2:17:33<17:37:14, 1.40step/s] Training: 11%|█▏ | 11338/100000 [2:17:33<17:00:59, 1.45step/s] Training: 11%|█▏ | 11339/100000 [2:17:34<16:42:44, 1.47step/s] Training: 11%|█▏ | 11340/100000 [2:17:35<17:00:49, 1.45step/s] Training: 11%|█▏ | 11341/100000 [2:17:35<17:11:12, 1.43step/s] Training: 11%|█▏ | 11342/100000 [2:17:36<17:50:51, 1.38step/s] Training: 11%|█▏ | 11343/100000 [2:17:37<17:24:22, 1.41step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=64210 Training: 11%|█▏ | 11344/100000 [2:17:38<17:54:41, 1.37step/s] Training: 11%|█▏ | 11345/100000 [2:17:38<17:08:56, 1.44step/s] Training: 11%|█▏ | 11346/100000 [2:17:39<16:38:53, 1.48step/s] Training: 11%|█▏ | 11347/100000 [2:17:40<16:22:35, 1.50step/s] Training: 11%|█▏ | 11348/100000 [2:17:40<17:00:41, 1.45step/s] Training: 11%|█▏ | 11349/100000 [2:17:41<17:40:12, 1.39step/s] Training: 11%|█▏ | 11350/100000 [2:17:42<17:59:53, 1.37step/s] Training: 11%|█▏ | 11351/100000 [2:17:43<17:50:51, 1.38step/s] Training: 11%|█▏ | 11352/100000 [2:17:43<18:03:09, 1.36step/s] Training: 11%|█▏ | 11353/100000 [2:17:44<17:20:50, 1.42step/s] Training: 11%|█▏ | 11354/100000 [2:17:45<16:45:41, 1.47step/s] Training: 11%|█▏ | 11355/100000 [2:17:45<16:24:54, 1.50step/s] Training: 11%|█▏ | 11356/100000 [2:17:46<17:08:13, 1.44step/s] Training: 11%|█▏ | 11357/100000 [2:17:47<16:39:37, 1.48step/s] Training: 11%|█▏ | 11358/100000 [2:17:47<17:37:00, 1.40step/s] Training: 11%|█▏ | 11359/100000 [2:17:48<17:34:02, 1.40step/s] Training: 11%|█▏ | 11360/100000 [2:17:49<17:41:05, 1.39step/s] Training: 11%|█▏ | 11361/100000 [2:17:50<17:00:32, 1.45step/s] Training: 11%|█▏ | 11362/100000 [2:17:50<16:30:16, 1.49step/s] Training: 11%|█▏ | 11363/100000 [2:17:51<16:14:14, 1.52step/s] Training: 11%|█▏ | 11364/100000 [2:17:51<16:40:14, 1.48step/s] Training: 11%|█▏ | 11365/100000 [2:17:52<17:22:16, 1.42step/s] Training: 11%|█▏ | 11366/100000 [2:17:53<17:54:38, 1.37step/s] Training: 11%|█▏ | 11367/100000 [2:17:54<18:10:50, 1.35step/s] Training: 11%|█▏ | 11368/100000 [2:17:55<18:36:57, 1.32step/s] Training: 11%|█▏ | 11369/100000 [2:17:55<17:43:52, 1.39step/s] Training: 11%|█▏ | 11370/100000 [2:17:56<16:51:05, 1.46step/s] Training: 11%|█▏ | 11371/100000 [2:17:56<16:14:57, 1.52step/s] Training: 11%|█▏ | 11372/100000 [2:17:57<16:45:28, 1.47step/s] Training: 11%|█▏ | 11373/100000 [2:17:58<17:16:46, 1.42step/s] Training: 11%|█▏ | 11374/100000 [2:17:59<17:40:57, 1.39step/s] Training: 11%|█▏ | 11375/100000 [2:17:59<17:47:42, 1.38step/s] Training: 11%|█▏ | 11376/100000 [2:18:00<18:15:16, 1.35step/s] Training: 11%|█▏ | 11377/100000 [2:18:01<17:14:15, 1.43step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=72226 Training: 11%|█▏ | 11378/100000 [2:18:01<16:39:33, 1.48step/s] Training: 11%|█▏ | 11379/100000 [2:18:02<16:08:07, 1.53step/s] Training: 11%|█▏ | 11380/100000 [2:18:03<16:58:34, 1.45step/s] Training: 11%|█▏ | 11381/100000 [2:18:04<17:06:41, 1.44step/s] Training: 11%|█▏ | 11382/100000 [2:18:04<17:33:44, 1.40step/s] Training: 11%|█▏ | 11383/100000 [2:18:05<17:54:29, 1.37step/s] Training: 11%|█▏ | 11384/100000 [2:18:06<18:17:44, 1.35step/s] Training: 11%|█▏ | 11385/100000 [2:18:06<17:30:40, 1.41step/s] Training: 11%|█▏ | 11386/100000 [2:18:07<16:58:10, 1.45step/s] Training: 11%|█▏ | 11387/100000 [2:18:08<16:30:39, 1.49step/s] Training: 11%|█▏ | 11388/100000 [2:18:08<17:08:29, 1.44step/s] Training: 11%|█▏ | 11389/100000 [2:18:09<16:39:30, 1.48step/s] Training: 11%|█▏ | 11390/100000 [2:18:10<17:23:16, 1.42step/s] Training: 11%|█▏ | 11391/100000 [2:18:11<17:45:26, 1.39step/s] Training: 11%|█▏ | 11392/100000 [2:18:11<17:59:15, 1.37step/s] Training: 11%|█▏ | 11393/100000 [2:18:12<17:17:32, 1.42step/s] Training: 11%|█▏ | 11394/100000 [2:18:13<16:51:59, 1.46step/s] Training: 11%|█▏ | 11395/100000 [2:18:13<16:30:29, 1.49step/s] Training: 11%|█▏ | 11396/100000 [2:18:14<16:46:34, 1.47step/s] Training: 11%|█▏ | 11397/100000 [2:18:15<17:29:30, 1.41step/s] Training: 11%|█▏ | 11398/100000 [2:18:16<17:33:21, 1.40step/s] Training: 11%|█▏ | 11399/100000 [2:18:16<18:10:26, 1.35step/s] Training: 11%|█▏ | 11400/100000 [2:18:17<18:43:11, 1.31step/s]INFO 2026-03-12 05:40:33 ot_train.py:435 step:11K smpl:730K ep:2K epch:9.66 loss:0.360 grdn:11.786 lr:1.9e-05 updt_s:0.693 data_s:0.012 Training: 11%|█▏ | 11401/100000 [2:18:18<17:56:12, 1.37step/s] Training: 11%|█▏ | 11402/100000 [2:18:18<17:12:08, 1.43step/s] Training: 11%|█▏ | 11403/100000 [2:18:19<16:35:13, 1.48step/s] Training: 11%|█▏ | 11404/100000 [2:18:20<16:52:24, 1.46step/s] Training: 11%|█▏ | 11405/100000 [2:18:20<17:24:58, 1.41step/s] Training: 11%|█▏ | 11406/100000 [2:18:21<17:25:58, 1.41step/s] Training: 11%|█▏ | 11407/100000 [2:18:22<18:09:08, 1.36step/s] Training: 11%|█▏ | 11408/100000 [2:18:23<18:16:17, 1.35step/s] Training: 11%|█▏ | 11409/100000 [2:18:23<17:24:25, 1.41step/s] Training: 11%|█▏ | 11410/100000 [2:18:24<16:46:20, 1.47step/s] Training: 11%|█▏ | 11411/100000 [2:18:25<16:20:33, 1.51step/s] Training: 11%|█▏ | 11412/100000 [2:18:25<17:01:26, 1.45step/s] Training: 11%|█▏ | 11413/100000 [2:18:26<17:29:39, 1.41step/s] Training: 11%|█▏ | 11414/100000 [2:18:27<18:09:03, 1.36step/s] Training: 11%|█▏ | 11415/100000 [2:18:28<18:33:14, 1.33step/s] Training: 11%|█▏ | 11416/100000 [2:18:28<18:19:34, 1.34step/s] Training: 11%|█▏ | 11417/100000 [2:18:29<17:30:32, 1.41step/s] Training: 11%|█▏ | 11418/100000 [2:18:30<16:55:55, 1.45step/s] Training: 11%|█▏ | 11419/100000 [2:18:30<16:31:34, 1.49step/s] Training: 11%|█▏ | 11420/100000 [2:18:31<17:00:38, 1.45step/s] Training: 11%|█▏ | 11421/100000 [2:18:32<16:38:26, 1.48step/s] Training: 11%|█▏ | 11422/100000 [2:18:32<17:15:58, 1.43step/s] Training: 11%|█▏ | 11423/100000 [2:18:33<17:53:02, 1.38step/s] Training: 11%|█▏ | 11424/100000 [2:18:34<17:50:26, 1.38step/s] Training: 11%|█▏ | 11425/100000 [2:18:35<17:06:06, 1.44step/s] Training: 11%|█▏ | 11426/100000 [2:18:35<16:41:10, 1.47step/s] Training: 11%|█▏ | 11427/100000 [2:18:36<16:14:07, 1.52step/s] Training: 11%|█▏ | 11428/100000 [2:18:37<17:07:49, 1.44step/s] Training: 11%|█▏ | 11429/100000 [2:18:37<17:24:14, 1.41step/s] Training: 11%|█▏ | 11430/100000 [2:18:38<17:24:23, 1.41step/s] Training: 11%|█▏ | 11431/100000 [2:18:39<17:59:23, 1.37step/s] Training: 11%|█▏ | 11432/100000 [2:18:40<18:15:08, 1.35step/s] Training: 11%|█▏ | 11433/100000 [2:18:40<17:14:09, 1.43step/s] Training: 11%|█▏ | 11434/100000 [2:18:41<16:39:50, 1.48step/s] Training: 11%|█▏ | 11435/100000 [2:18:42<16:20:45, 1.51step/s] Training: 11%|█▏ | 11436/100000 [2:18:42<16:42:48, 1.47step/s] Training: 11%|█▏ | 11437/100000 [2:18:43<17:14:45, 1.43step/s] Training: 11%|█▏ | 11438/100000 [2:18:44<17:20:24, 1.42step/s] Training: 11%|█▏ | 11439/100000 [2:18:44<17:56:03, 1.37step/s] Training: 11%|█▏ | 11440/100000 [2:18:45<18:22:11, 1.34step/s] Training: 11%|█▏ | 11441/100000 [2:18:46<17:30:45, 1.40step/s] Training: 11%|█▏ | 11442/100000 [2:18:47<16:52:54, 1.46step/s] Training: 11%|█▏ | 11443/100000 [2:18:47<16:25:07, 1.50step/s] Training: 11%|█▏ | 11444/100000 [2:18:48<17:16:48, 1.42step/s] Training: 11%|█▏ | 11445/100000 [2:18:49<17:20:18, 1.42step/s] Training: 11%|█▏ | 11446/100000 [2:18:49<17:45:11, 1.39step/s] Training: 11%|█▏ | 11447/100000 [2:18:50<18:10:21, 1.35step/s] Training: 11%|█▏ | 11448/100000 [2:18:51<18:24:43, 1.34step/s] Training: 11%|█▏ | 11449/100000 [2:18:52<17:28:17, 1.41step/s] Training: 11%|█▏ | 11450/100000 [2:18:52<16:55:41, 1.45step/s] Training: 11%|█▏ | 11451/100000 [2:18:53<16:30:24, 1.49step/s] Training: 11%|█▏ | 11452/100000 [2:18:54<17:18:00, 1.42step/s] Training: 11%|█▏ | 11453/100000 [2:18:54<16:52:16, 1.46step/s] Training: 11%|█▏ | 11454/100000 [2:18:55<17:28:21, 1.41step/s] Training: 11%|█▏ | 11455/100000 [2:18:56<17:25:48, 1.41step/s] Training: 11%|█▏ | 11456/100000 [2:18:57<18:04:28, 1.36step/s] Training: 11%|█▏ | 11457/100000 [2:18:57<17:08:42, 1.43step/s] Training: 11%|█▏ | 11458/100000 [2:18:58<16:38:02, 1.48step/s] Training: 11%|█▏ | 11459/100000 [2:18:58<16:20:29, 1.51step/s] Training: 11%|█▏ | 11460/100000 [2:18:59<16:45:13, 1.47step/s] Training: 11%|█▏ | 11461/100000 [2:19:00<17:19:34, 1.42step/s] Training: 11%|█▏ | 11462/100000 [2:19:01<17:42:53, 1.39step/s] Training: 11%|█▏ | 11463/100000 [2:19:01<18:02:53, 1.36step/s] Training: 11%|█▏ | 11464/100000 [2:19:02<18:41:06, 1.32step/s] Training: 11%|█▏ | 11465/100000 [2:19:03<17:46:11, 1.38step/s] Training: 11%|█▏ | 11466/100000 [2:19:04<17:09:18, 1.43step/s] Training: 11%|█▏ | 11467/100000 [2:19:04<16:44:34, 1.47step/s] Training: 11%|█▏ | 11468/100000 [2:19:05<17:06:04, 1.44step/s] Training: 11%|█▏ | 11469/100000 [2:19:06<17:36:03, 1.40step/s] Training: 11%|█▏ | 11470/100000 [2:19:06<17:43:52, 1.39step/s] Training: 11%|█▏ | 11471/100000 [2:19:07<18:00:12, 1.37step/s] Training: 11%|█▏ | 11472/100000 [2:19:08<18:16:24, 1.35step/s] Training: 11%|█▏ | 11473/100000 [2:19:09<18:48:59, 1.31step/s] Training: 11%|█▏ | 11474/100000 [2:19:09<17:57:35, 1.37step/s] Training: 11%|█▏ | 11475/100000 [2:19:10<17:15:06, 1.43step/s] Training: 11%|█▏ | 11476/100000 [2:19:11<17:37:55, 1.39step/s] Training: 11%|█▏ | 11477/100000 [2:19:11<17:40:58, 1.39step/s] Training: 11%|█▏ | 11478/100000 [2:19:12<17:58:36, 1.37step/s] Training: 11%|█▏ | 11479/100000 [2:19:13<18:01:06, 1.36step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=64210 Training: 11%|█▏ | 11480/100000 [2:19:14<18:33:17, 1.33step/s] Training: 11%|█▏ | 11481/100000 [2:19:15<18:48:44, 1.31step/s] Training: 11%|█▏ | 11482/100000 [2:19:15<17:44:42, 1.39step/s] Training: 11%|█▏ | 11483/100000 [2:19:16<16:52:02, 1.46step/s] Training: 11%|█▏ | 11484/100000 [2:19:17<17:37:59, 1.39step/s] Training: 11%|█▏ | 11485/100000 [2:19:17<16:59:06, 1.45step/s] Training: 11%|█▏ | 11486/100000 [2:19:18<18:17:38, 1.34step/s] Training: 11%|█▏ | 11487/100000 [2:19:19<17:28:32, 1.41step/s] Training: 11%|█▏ | 11488/100000 [2:19:20<18:15:57, 1.35step/s] Training: 11%|█▏ | 11489/100000 [2:19:20<18:44:05, 1.31step/s] Training: 11%|█▏ | 11490/100000 [2:19:21<17:43:01, 1.39step/s] Training: 11%|█▏ | 11491/100000 [2:19:22<17:04:47, 1.44step/s] Training: 11%|█▏ | 11492/100000 [2:19:22<17:44:37, 1.39step/s] Training: 11%|█▏ | 11493/100000 [2:19:23<18:07:49, 1.36step/s] Training: 11%|█▏ | 11494/100000 [2:19:24<17:55:07, 1.37step/s] Training: 11%|█▏ | 11495/100000 [2:19:25<18:12:37, 1.35step/s] Training: 11%|█▏ | 11496/100000 [2:19:25<18:38:29, 1.32step/s] Training: 11%|█▏ | 11497/100000 [2:19:26<17:39:53, 1.39step/s] Training: 11%|█▏ | 11498/100000 [2:19:27<18:04:24, 1.36step/s] Training: 11%|█▏ | 11499/100000 [2:19:27<17:13:01, 1.43step/s] Training: 12%|█▏ | 11500/100000 [2:19:28<17:14:58, 1.43step/s]INFO 2026-03-12 05:41:44 ot_train.py:435 step:12K smpl:736K ep:3K epch:9.75 loss:0.363 grdn:11.653 lr:1.9e-05 updt_s:0.696 data_s:0.012 Training: 12%|█▏ | 11501/100000 [2:19:29<17:35:50, 1.40step/s] Training: 12%|█▏ | 11502/100000 [2:19:30<17:47:09, 1.38step/s] Training: 12%|█▏ | 11503/100000 [2:19:30<18:13:20, 1.35step/s] Training: 12%|█▏ | 11504/100000 [2:19:31<18:25:55, 1.33step/s] Training: 12%|█▏ | 11505/100000 [2:19:32<17:22:58, 1.41step/s] Training: 12%|█▏ | 11506/100000 [2:19:33<17:55:24, 1.37step/s] Training: 12%|█▏ | 11507/100000 [2:19:33<17:08:30, 1.43step/s] Training: 12%|█▏ | 11508/100000 [2:19:34<17:46:03, 1.38step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=32504 Training: 12%|█▏ | 11509/100000 [2:19:35<17:47:59, 1.38step/s] Training: 12%|█▏ | 11510/100000 [2:19:35<18:03:11, 1.36step/s] Training: 12%|█▏ | 11511/100000 [2:19:36<17:52:39, 1.37step/s] Training: 12%|█▏ | 11512/100000 [2:19:37<18:11:19, 1.35step/s] Training: 12%|█▏ | 11513/100000 [2:19:38<17:29:59, 1.40step/s] Training: 12%|█▏ | 11514/100000 [2:19:38<17:55:25, 1.37step/s] Training: 12%|█▏ | 11515/100000 [2:19:39<17:14:54, 1.42step/s] Training: 12%|█▏ | 11516/100000 [2:19:40<17:43:33, 1.39step/s] Training: 12%|█▏ | 11517/100000 [2:19:40<16:52:59, 1.46step/s] Training: 12%|█▏ | 11518/100000 [2:19:41<17:34:51, 1.40step/s] Training: 12%|█▏ | 11519/100000 [2:19:42<18:15:53, 1.35step/s] Training: 12%|█▏ | 11520/100000 [2:19:43<18:31:55, 1.33step/s] Training: 12%|█▏ | 11521/100000 [2:19:43<17:41:17, 1.39step/s] Training: 12%|█▏ | 11522/100000 [2:19:44<17:47:59, 1.38step/s] Training: 12%|█▏ | 11523/100000 [2:19:45<17:05:14, 1.44step/s] Training: 12%|█▏ | 11524/100000 [2:19:45<17:18:32, 1.42step/s] Training: 12%|█▏ | 11525/100000 [2:19:46<17:47:33, 1.38step/s] Training: 12%|█▏ | 11526/100000 [2:19:47<16:55:55, 1.45step/s] Training: 12%|█▏ | 11527/100000 [2:19:48<17:16:40, 1.42step/s] Training: 12%|█▏ | 11528/100000 [2:19:48<17:49:14, 1.38step/s] Training: 12%|█▏ | 11529/100000 [2:19:49<17:03:59, 1.44step/s] Training: 12%|█▏ | 11530/100000 [2:19:50<17:39:49, 1.39step/s] Training: 12%|█▏ | 11531/100000 [2:19:50<16:49:25, 1.46step/s] Training: 12%|█▏ | 11532/100000 [2:19:51<16:49:13, 1.46step/s] Training: 12%|█▏ | 11533/100000 [2:19:52<17:32:16, 1.40step/s] Training: 12%|█▏ | 11534/100000 [2:19:52<16:58:24, 1.45step/s] Training: 12%|█▏ | 11535/100000 [2:19:53<16:59:20, 1.45step/s] Training: 12%|█▏ | 11536/100000 [2:19:54<17:44:41, 1.38step/s] Training: 12%|█▏ | 11537/100000 [2:19:55<17:02:32, 1.44step/s] Training: 12%|█▏ | 11538/100000 [2:19:55<16:31:54, 1.49step/s] Training: 12%|█▏ | 11539/100000 [2:19:56<17:28:10, 1.41step/s] Training: 12%|█▏ | 11540/100000 [2:19:57<17:40:58, 1.39step/s] Training: 12%|█▏ | 11541/100000 [2:19:58<17:58:47, 1.37step/s] Training: 12%|█▏ | 11542/100000 [2:19:58<17:14:42, 1.42step/s] Training: 12%|█▏ | 11543/100000 [2:19:59<17:37:12, 1.39step/s] Training: 12%|█▏ | 11544/100000 [2:20:00<17:36:50, 1.39step/s] Training: 12%|█▏ | 11545/100000 [2:20:00<17:03:47, 1.44step/s] Training: 12%|█▏ | 11546/100000 [2:20:01<16:37:45, 1.48step/s] Training: 12%|█▏ | 11547/100000 [2:20:02<17:15:17, 1.42step/s] Training: 12%|█▏ | 11548/100000 [2:20:02<17:51:54, 1.38step/s] Training: 12%|█▏ | 11549/100000 [2:20:03<17:15:10, 1.42step/s] Training: 12%|█▏ | 11550/100000 [2:20:04<17:40:03, 1.39step/s] Training: 12%|█▏ | 11551/100000 [2:20:05<18:03:27, 1.36step/s] Training: 12%|█▏ | 11552/100000 [2:20:05<18:17:59, 1.34step/s] Training: 12%|█▏ | 11553/100000 [2:20:06<17:30:01, 1.40step/s] Training: 12%|█▏ | 11554/100000 [2:20:07<17:05:44, 1.44step/s] Training: 12%|█▏ | 11555/100000 [2:20:07<16:34:10, 1.48step/s] Training: 12%|█▏ | 11556/100000 [2:20:08<17:18:29, 1.42step/s] Training: 12%|█▏ | 11557/100000 [2:20:09<17:51:00, 1.38step/s] Training: 12%|█▏ | 11558/100000 [2:20:09<17:06:05, 1.44step/s] Training: 12%|█▏ | 11559/100000 [2:20:10<17:45:38, 1.38step/s] Training: 12%|█▏ | 11560/100000 [2:20:11<18:05:51, 1.36step/s] Training: 12%|█▏ | 11561/100000 [2:20:12<17:17:21, 1.42step/s] Training: 12%|█▏ | 11562/100000 [2:20:12<16:33:00, 1.48step/s] Training: 12%|█▏ | 11563/100000 [2:20:13<17:10:50, 1.43step/s] Training: 12%|█▏ | 11564/100000 [2:20:14<17:04:37, 1.44step/s] Training: 12%|█▏ | 11565/100000 [2:20:14<17:08:57, 1.43step/s] Training: 12%|█▏ | 11566/100000 [2:20:15<16:36:45, 1.48step/s] Training: 12%|█▏ | 11567/100000 [2:20:16<17:06:23, 1.44step/s] Training: 12%|█▏ | 11568/100000 [2:20:17<17:46:01, 1.38step/s] Training: 12%|█▏ | 11569/100000 [2:20:17<17:07:26, 1.43step/s] Training: 12%|█▏ | 11570/100000 [2:20:18<16:39:41, 1.47step/s] Training: 12%|█▏ | 11571/100000 [2:20:18<16:13:26, 1.51step/s] Training: 12%|█▏ | 11572/100000 [2:20:19<17:17:18, 1.42step/s] Training: 12%|█▏ | 11573/100000 [2:20:20<17:32:53, 1.40step/s] Training: 12%|█▏ | 11574/100000 [2:20:21<17:04:06, 1.44step/s] Training: 12%|█▏ | 11575/100000 [2:20:21<17:12:29, 1.43step/s] Training: 12%|█▏ | 11576/100000 [2:20:22<17:33:23, 1.40step/s] Training: 12%|█▏ | 11577/100000 [2:20:23<17:01:29, 1.44step/s] Training: 12%|█▏ | 11578/100000 [2:20:23<16:25:53, 1.49step/s] Training: 12%|█▏ | 11579/100000 [2:20:24<16:10:42, 1.52step/s] Training: 12%|█▏ | 11580/100000 [2:20:25<17:08:55, 1.43step/s] Training: 12%|█▏ | 11581/100000 [2:20:25<16:36:50, 1.48step/s] Training: 12%|█▏ | 11582/100000 [2:20:26<17:40:17, 1.39step/s] Training: 12%|█▏ | 11583/100000 [2:20:27<17:48:11, 1.38step/s] Training: 12%|█▏ | 11584/100000 [2:20:28<18:42:28, 1.31step/s] Training: 12%|█▏ | 11585/100000 [2:20:28<17:51:47, 1.37step/s] Training: 12%|█▏ | 11586/100000 [2:20:29<17:06:59, 1.43step/s] Training: 12%|█▏ | 11587/100000 [2:20:30<16:27:13, 1.49step/s] Training: 12%|█▏ | 11588/100000 [2:20:30<16:50:50, 1.46step/s] Training: 12%|█▏ | 11589/100000 [2:20:31<17:11:07, 1.43step/s] Training: 12%|█▏ | 11590/100000 [2:20:32<16:37:35, 1.48step/s] Training: 12%|█▏ | 11591/100000 [2:20:33<17:15:24, 1.42step/s] Training: 12%|█▏ | 11592/100000 [2:20:33<17:50:42, 1.38step/s] Training: 12%|█▏ | 11593/100000 [2:20:34<17:07:53, 1.43step/s] Training: 12%|█▏ | 11594/100000 [2:20:35<16:26:00, 1.49step/s] Training: 12%|█▏ | 11595/100000 [2:20:35<16:05:54, 1.53step/s] Training: 12%|█▏ | 11596/100000 [2:20:36<16:41:28, 1.47step/s] Training: 12%|█▏ | 11597/100000 [2:20:37<17:19:14, 1.42step/s] Training: 12%|█▏ | 11598/100000 [2:20:37<16:48:19, 1.46step/s] Training: 12%|█▏ | 11599/100000 [2:20:38<17:23:21, 1.41step/s] Training: 12%|█▏ | 11600/100000 [2:20:39<17:57:18, 1.37step/s]INFO 2026-03-12 05:42:55 ot_train.py:435 step:12K smpl:742K ep:3K epch:9.83 loss:0.355 grdn:12.362 lr:1.9e-05 updt_s:0.693 data_s:0.013 Training: 12%|█▏ | 11601/100000 [2:20:40<17:11:03, 1.43step/s] Training: 12%|█▏ | 11602/100000 [2:20:40<16:42:36, 1.47step/s] Training: 12%|█▏ | 11603/100000 [2:20:41<16:18:18, 1.51step/s] Training: 12%|█▏ | 11604/100000 [2:20:42<16:59:42, 1.44step/s] Training: 12%|█▏ | 11605/100000 [2:20:42<17:09:59, 1.43step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=51640 Training: 12%|█▏ | 11606/100000 [2:20:43<16:44:37, 1.47step/s] Training: 12%|█▏ | 11607/100000 [2:20:44<17:23:10, 1.41step/s] Training: 12%|█▏ | 11608/100000 [2:20:44<17:47:22, 1.38step/s] Training: 12%|█▏ | 11609/100000 [2:20:45<16:54:18, 1.45step/s] Training: 12%|█▏ | 11610/100000 [2:20:46<16:27:32, 1.49step/s] Training: 12%|█▏ | 11611/100000 [2:20:46<16:08:45, 1.52step/s] Training: 12%|█▏ | 11612/100000 [2:20:47<17:04:11, 1.44step/s] Training: 12%|█▏ | 11613/100000 [2:20:48<17:40:18, 1.39step/s] Training: 12%|█▏ | 11614/100000 [2:20:48<16:50:11, 1.46step/s] Training: 12%|█▏ | 11615/100000 [2:20:49<17:09:29, 1.43step/s] Training: 12%|█▏ | 11616/100000 [2:20:50<17:42:54, 1.39step/s] Training: 12%|█▏ | 11617/100000 [2:20:51<17:01:29, 1.44step/s] Training: 12%|█▏ | 11618/100000 [2:20:51<16:23:17, 1.50step/s] Training: 12%|█▏ | 11619/100000 [2:20:52<16:05:13, 1.53step/s] Training: 12%|█▏ | 11620/100000 [2:20:53<16:28:21, 1.49step/s] Training: 12%|█▏ | 11621/100000 [2:20:53<17:25:28, 1.41step/s] Training: 12%|█▏ | 11622/100000 [2:20:54<16:45:50, 1.46step/s] Training: 12%|█▏ | 11623/100000 [2:20:55<17:09:39, 1.43step/s] Training: 12%|█▏ | 11624/100000 [2:20:55<17:38:58, 1.39step/s] Training: 12%|█▏ | 11625/100000 [2:20:56<17:03:31, 1.44step/s] Training: 12%|█▏ | 11626/100000 [2:20:57<16:32:58, 1.48step/s] Training: 12%|█▏ | 11627/100000 [2:20:57<16:17:07, 1.51step/s] Training: 12%|█▏ | 11628/100000 [2:20:58<16:34:32, 1.48step/s] Training: 12%|█▏ | 11629/100000 [2:20:59<17:11:57, 1.43step/s] Training: 12%|█▏ | 11630/100000 [2:21:00<18:04:41, 1.36step/s] Training: 12%|█▏ | 11631/100000 [2:21:00<18:22:33, 1.34step/s] Training: 12%|█▏ | 11632/100000 [2:21:01<18:48:39, 1.30step/s] Training: 12%|█▏ | 11633/100000 [2:21:02<17:50:34, 1.38step/s] Training: 12%|█▏ | 11634/100000 [2:21:02<17:20:24, 1.42step/s] Training: 12%|█▏ | 11635/100000 [2:21:03<16:58:55, 1.45step/s] Training: 12%|█▏ | 11636/100000 [2:21:04<17:30:57, 1.40step/s] Training: 12%|█▏ | 11637/100000 [2:21:05<18:15:28, 1.34step/s] Training: 12%|█▏ | 11638/100000 [2:21:05<17:25:28, 1.41step/s] Training: 12%|█▏ | 11639/100000 [2:21:06<18:00:21, 1.36step/s] Training: 12%|█▏ | 11640/100000 [2:21:07<18:20:00, 1.34step/s] Training: 12%|█▏ | 11641/100000 [2:21:08<17:28:32, 1.40step/s] 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1.46step/s] Training: 12%|█▏ | 11798/100000 [2:22:57<16:18:00, 1.50step/s] Training: 12%|█▏ | 11799/100000 [2:22:58<16:33:37, 1.48step/s] Training: 12%|█▏ | 11800/100000 [2:23:00<27:06:31, 1.11s/step]INFO 2026-03-12 05:45:16 ot_train.py:435 step:12K smpl:755K ep:3K epch:10.00 loss:0.352 grdn:12.116 lr:1.9e-05 updt_s:0.683 data_s:0.026 huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 12%|█▏ | 11801/100000 [2:23:04<48:07:23, 1.96s/step] Training: 12%|█▏ | 11802/100000 [2:23:05<40:08:38, 1.64s/step] Training: 12%|█▏ | 11803/100000 [2:23:05<32:41:41, 1.33s/step] Training: 12%|█▏ | 11804/100000 [2:23:06<28:18:11, 1.16s/step] Training: 12%|█▏ | 11805/100000 [2:23:07<25:08:36, 1.03s/step] Training: 12%|█▏ | 11806/100000 [2:23:07<22:03:16, 1.11step/s] Training: 12%|█▏ | 11807/100000 [2:23:08<21:25:20, 1.14step/s] Training: 12%|█▏ | 11808/100000 [2:23:09<20:54:00, 1.17step/s] Training: 12%|█▏ | 11809/100000 [2:23:10<20:26:48, 1.20step/s] Training: 12%|█▏ | 11810/100000 [2:23:10<18:45:35, 1.31step/s] Training: 12%|█▏ | 11811/100000 [2:23:11<17:44:51, 1.38step/s] Training: 12%|█▏ | 11812/100000 [2:23:12<18:25:57, 1.33step/s] Training: 12%|█▏ | 11813/100000 [2:23:13<18:47:24, 1.30step/s] 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1.39step/s] Training: 12%|█▏ | 11970/100000 [2:25:04<16:52:25, 1.45step/s] Training: 12%|█▏ | 11971/100000 [2:25:05<16:18:08, 1.50step/s] Training: 12%|█▏ | 11972/100000 [2:25:06<17:11:07, 1.42step/s] Training: 12%|█▏ | 11973/100000 [2:25:06<17:39:59, 1.38step/s] Training: 12%|█▏ | 11974/100000 [2:25:07<18:36:09, 1.31step/s] Training: 12%|█▏ | 11975/100000 [2:25:08<18:38:11, 1.31step/s] Training: 12%|█▏ | 11976/100000 [2:25:09<18:50:04, 1.30step/s] Training: 12%|█▏ | 11977/100000 [2:25:09<17:53:47, 1.37step/s] Training: 12%|█▏ | 11978/100000 [2:25:10<16:58:18, 1.44step/s] Training: 12%|█▏ | 11979/100000 [2:25:11<16:26:01, 1.49step/s] Training: 12%|█▏ | 11980/100000 [2:25:11<16:48:25, 1.45step/s] Training: 12%|█▏ | 11981/100000 [2:25:12<16:58:01, 1.44step/s] Training: 12%|█▏ | 11982/100000 [2:25:13<17:34:19, 1.39step/s] Training: 12%|█▏ | 11983/100000 [2:25:14<17:45:44, 1.38step/s] Training: 12%|█▏ | 11984/100000 [2:25:14<18:10:02, 1.35step/s] Training: 12%|█▏ | 11985/100000 [2:25:15<17:21:25, 1.41step/s] Training: 12%|█▏ | 11986/100000 [2:25:16<16:45:02, 1.46step/s] Training: 12%|█▏ | 11987/100000 [2:25:16<16:15:13, 1.50step/s] Training: 12%|█▏ | 11988/100000 [2:25:17<16:55:56, 1.44step/s] Training: 12%|█▏ | 11989/100000 [2:25:18<17:15:25, 1.42step/s] Training: 12%|█▏ | 11990/100000 [2:25:18<17:38:37, 1.39step/s] Training: 12%|█▏ | 11991/100000 [2:25:19<17:55:35, 1.36step/s] Training: 12%|█▏ | 11992/100000 [2:25:20<18:13:55, 1.34step/s] Training: 12%|█▏ | 11993/100000 [2:25:21<17:19:46, 1.41step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=46951 Training: 12%|█▏ | 11994/100000 [2:25:21<16:46:15, 1.46step/s] Training: 12%|█▏ | 11995/100000 [2:25:22<16:12:12, 1.51step/s] Training: 12%|█▏ | 11996/100000 [2:25:23<17:06:02, 1.43step/s] Training: 12%|█▏ | 11997/100000 [2:25:23<16:24:03, 1.49step/s] Training: 12%|█▏ | 11998/100000 [2:25:24<17:08:18, 1.43step/s] Training: 12%|█▏ | 11999/100000 [2:25:25<17:42:57, 1.38step/s] Training: 12%|█▏ | 12000/100000 [2:25:26<18:06:35, 1.35step/s]INFO 2026-03-12 05:47:42 ot_train.py:435 step:12K smpl:768K ep:3K epch:10.17 loss:0.325 grdn:11.435 lr:1.9e-05 updt_s:0.694 data_s:0.012 Training: 12%|█▏ | 12001/100000 [2:25:26<17:16:01, 1.42step/s] Training: 12%|█▏ | 12002/100000 [2:25:27<16:40:01, 1.47step/s] Training: 12%|█▏ | 12003/100000 [2:25:27<16:17:22, 1.50step/s] Training: 12%|█▏ | 12004/100000 [2:25:28<17:15:07, 1.42step/s] Training: 12%|█▏ | 12005/100000 [2:25:29<17:42:13, 1.38step/s] Training: 12%|█▏ | 12006/100000 [2:25:30<16:55:09, 1.44step/s] Training: 12%|█▏ | 12007/100000 [2:25:30<17:32:44, 1.39step/s] Training: 12%|█▏ | 12008/100000 [2:25:31<18:00:35, 1.36step/s] Training: 12%|█▏ | 12009/100000 [2:25:32<17:10:34, 1.42step/s] Training: 12%|█▏ | 12010/100000 [2:25:32<16:45:10, 1.46step/s] Training: 12%|█▏ | 12011/100000 [2:25:33<16:28:52, 1.48step/s] Training: 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1.36step/s] Training: 12%|█▏ | 12105/100000 [2:26:40<17:09:00, 1.42step/s] Training: 12%|█▏ | 12106/100000 [2:26:41<18:10:32, 1.34step/s] Training: 12%|█▏ | 12107/100000 [2:26:41<17:07:10, 1.43step/s] Training: 12%|█▏ | 12108/100000 [2:26:42<17:21:24, 1.41step/s] Training: 12%|█▏ | 12109/100000 [2:26:43<17:45:24, 1.37step/s] Training: 12%|█▏ | 12110/100000 [2:26:43<17:04:18, 1.43step/s] Training: 12%|█▏ | 12111/100000 [2:26:44<17:42:32, 1.38step/s] Training: 12%|█▏ | 12112/100000 [2:26:45<18:20:44, 1.33step/s] Training: 12%|█▏ | 12113/100000 [2:26:46<17:37:56, 1.38step/s] Training: 12%|█▏ | 12114/100000 [2:26:46<18:26:59, 1.32step/s] Training: 12%|█▏ | 12115/100000 [2:26:47<17:20:22, 1.41step/s] Training: 12%|█▏ | 12116/100000 [2:26:48<17:38:17, 1.38step/s] Training: 12%|█▏ | 12117/100000 [2:26:48<17:43:34, 1.38step/s] Training: 12%|█▏ | 12118/100000 [2:26:49<17:05:24, 1.43step/s] Training: 12%|█▏ | 12119/100000 [2:26:50<17:22:26, 1.41step/s] Training: 12%|█▏ | 12120/100000 [2:26:51<17:59:16, 1.36step/s] Training: 12%|█▏ | 12121/100000 [2:26:51<17:12:19, 1.42step/s] Training: 12%|█▏ | 12122/100000 [2:26:52<17:25:27, 1.40step/s] Training: 12%|█▏ | 12123/100000 [2:26:53<16:48:04, 1.45step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=1859 Training: 12%|█▏ | 12124/100000 [2:26:53<17:27:10, 1.40step/s] Training: 12%|█▏ | 12125/100000 [2:26:54<16:46:13, 1.46step/s] Training: 12%|█▏ | 12126/100000 [2:26:55<17:14:08, 1.42step/s] Training: 12%|█▏ | 12127/100000 [2:26:55<17:36:22, 1.39step/s] Training: 12%|█▏ | 12128/100000 [2:26:56<17:49:40, 1.37step/s] Training: 12%|█▏ | 12129/100000 [2:26:57<17:02:01, 1.43step/s] Training: 12%|█▏ | 12130/100000 [2:26:58<17:16:17, 1.41step/s] Training: 12%|█▏ | 12131/100000 [2:26:58<16:37:32, 1.47step/s] Training: 12%|█▏ | 12132/100000 [2:26:59<17:29:24, 1.40step/s] Training: 12%|█▏ | 12133/100000 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1.46step/s] Training: 12%|█▏ | 12197/100000 [2:27:45<17:07:49, 1.42step/s] Training: 12%|█▏ | 12198/100000 [2:27:45<16:35:28, 1.47step/s] Training: 12%|█▏ | 12199/100000 [2:27:46<17:13:04, 1.42step/s] Training: 12%|█▏ | 12200/100000 [2:27:47<17:45:22, 1.37step/s]INFO 2026-03-12 05:50:03 ot_train.py:435 step:12K smpl:781K ep:3K epch:10.34 loss:0.310 grdn:11.598 lr:1.9e-05 updt_s:0.694 data_s:0.012 Training: 12%|█▏ | 12201/100000 [2:27:48<16:58:49, 1.44step/s] Training: 12%|█▏ | 12202/100000 [2:27:48<16:20:09, 1.49step/s] Training: 12%|█▏ | 12203/100000 [2:27:49<15:59:53, 1.52step/s] Training: 12%|█▏ | 12204/100000 [2:27:50<16:41:18, 1.46step/s] Training: 12%|█▏ | 12205/100000 [2:27:50<16:48:48, 1.45step/s] Training: 12%|█▏ | 12206/100000 [2:27:51<16:12:12, 1.51step/s] Training: 12%|█▏ | 12207/100000 [2:27:52<17:06:57, 1.42step/s] Training: 12%|█▏ | 12208/100000 [2:27:52<17:53:34, 1.36step/s] Training: 12%|█▏ | 12209/100000 [2:27:53<17:15:16, 1.41step/s] Training: 12%|█▏ | 12210/100000 [2:27:54<16:43:02, 1.46step/s] Training: 12%|█▏ | 12211/100000 [2:27:54<16:16:56, 1.50step/s] Training: 12%|█▏ | 12212/100000 [2:27:55<17:19:21, 1.41step/s] Training: 12%|█▏ | 12213/100000 [2:27:56<17:22:16, 1.40step/s] Training: 12%|█▏ | 12214/100000 [2:27:57<16:48:23, 1.45step/s] Training: 12%|█▏ | 12215/100000 [2:27:57<17:32:05, 1.39step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=5547 Training: 12%|█▏ | 12216/100000 [2:27:58<18:08:03, 1.34step/s] Training: 12%|█▏ | 12217/100000 [2:27:59<17:18:01, 1.41step/s] Training: 12%|█▏ | 12218/100000 [2:27:59<16:49:08, 1.45step/s] Training: 12%|█▏ | 12219/100000 [2:28:00<16:26:06, 1.48step/s] Training: 12%|█▏ | 12220/100000 [2:28:01<16:58:07, 1.44step/s] Training: 12%|█▏ | 12221/100000 [2:28:02<18:13:40, 1.34step/s] Training: 12%|█▏ | 12222/100000 [2:28:02<17:17:53, 1.41step/s] Training: 12%|█▏ | 12223/100000 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1.42step/s] Training: 12%|█▏ | 12287/100000 [2:28:48<17:23:01, 1.40step/s] Training: 12%|█▏ | 12288/100000 [2:28:49<17:47:46, 1.37step/s] Training: 12%|█▏ | 12289/100000 [2:28:49<17:05:19, 1.43step/s] Training: 12%|█▏ | 12290/100000 [2:28:50<16:36:20, 1.47step/s] Training: 12%|█▏ | 12291/100000 [2:28:51<16:12:03, 1.50step/s] Training: 12%|█▏ | 12292/100000 [2:28:51<16:54:56, 1.44step/s] Training: 12%|█▏ | 12293/100000 [2:28:52<17:23:10, 1.40step/s] Training: 12%|█▏ | 12294/100000 [2:28:53<16:44:11, 1.46step/s] Training: 12%|█▏ | 12295/100000 [2:28:54<17:33:24, 1.39step/s] Training: 12%|█▏ | 12296/100000 [2:28:54<17:44:56, 1.37step/s] Training: 12%|█▏ | 12297/100000 [2:28:55<16:59:05, 1.43step/s] Training: 12%|█▏ | 12298/100000 [2:28:56<16:26:22, 1.48step/s] Training: 12%|█▏ | 12299/100000 [2:28:56<16:13:03, 1.50step/s] Training: 12%|█▏ | 12300/100000 [2:28:57<16:22:31, 1.49step/s]INFO 2026-03-12 05:51:13 ot_train.py:435 step:12K smpl:787K ep:3K epch:10.43 loss:0.318 grdn:11.180 lr:1.9e-05 updt_s:0.685 data_s:0.012 Training: 12%|█▏ | 12301/100000 [2:28:58<16:33:55, 1.47step/s] Training: 12%|█▏ | 12302/100000 [2:28:58<16:09:07, 1.51step/s] Training: 12%|█▏ | 12303/100000 [2:28:59<16:51:19, 1.45step/s] Training: 12%|█▏ | 12304/100000 [2:29:00<17:14:02, 1.41step/s] Training: 12%|█▏ | 12305/100000 [2:29:00<16:37:03, 1.47step/s] Training: 12%|█▏ | 12306/100000 [2:29:01<16:01:41, 1.52step/s] Training: 12%|█▏ | 12307/100000 [2:29:02<15:53:49, 1.53step/s] Training: 12%|█▏ | 12308/100000 [2:29:02<16:39:12, 1.46step/s] Training: 12%|█▏ | 12309/100000 [2:29:03<16:59:08, 1.43step/s] Training: 12%|█▏ | 12310/100000 [2:29:04<16:26:08, 1.48step/s] Training: 12%|█▏ | 12311/100000 [2:29:05<17:26:55, 1.40step/s] Training: 12%|█▏ | 12312/100000 [2:29:05<17:45:25, 1.37step/s] Training: 12%|█▏ | 12313/100000 [2:29:06<17:01:10, 1.43step/s] Training: 12%|█▏ | 12314/100000 [2:29:07<16:19:26, 1.49step/s] Training: 12%|█▏ | 12315/100000 [2:29:07<15:51:31, 1.54step/s] Training: 12%|█▏ | 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1.51step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=6637 Training: 12%|█▏ | 12348/100000 [2:29:30<16:47:43, 1.45step/s] Training: 12%|█▏ | 12349/100000 [2:29:31<16:19:05, 1.49step/s] Training: 12%|█▏ | 12350/100000 [2:29:32<16:50:04, 1.45step/s] Training: 12%|█▏ | 12351/100000 [2:29:32<17:28:24, 1.39step/s] Training: 12%|█▏ | 12352/100000 [2:29:33<18:02:47, 1.35step/s] Training: 12%|█▏ | 12353/100000 [2:29:34<17:19:03, 1.41step/s] Training: 12%|█▏ | 12354/100000 [2:29:34<16:47:59, 1.45step/s] Training: 12%|█▏ | 12355/100000 [2:29:35<16:09:07, 1.51step/s] Training: 12%|█▏ | 12356/100000 [2:29:36<16:49:03, 1.45step/s] Training: 12%|█▏ | 12357/100000 [2:29:37<17:20:29, 1.40step/s] Training: 12%|█▏ | 12358/100000 [2:29:37<16:43:50, 1.46step/s] Training: 12%|█▏ | 12359/100000 [2:29:38<17:16:23, 1.41step/s] Training: 12%|█▏ | 12360/100000 [2:29:39<17:42:16, 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1.41step/s]INFO 2026-03-12 05:53:34 ot_train.py:435 step:12K smpl:800K ep:3K epch:10.60 loss:0.325 grdn:12.560 lr:1.9e-05 updt_s:0.698 data_s:0.012 Training: 13%|█▎ | 12501/100000 [2:31:19<17:14:55, 1.41step/s] Training: 13%|█▎ | 12502/100000 [2:31:20<16:41:33, 1.46step/s] Training: 13%|█▎ | 12503/100000 [2:31:20<17:21:44, 1.40step/s] Training: 13%|█▎ | 12504/100000 [2:31:21<17:52:52, 1.36step/s] Training: 13%|█▎ | 12505/100000 [2:31:22<17:45:55, 1.37step/s] Training: 13%|█▎ | 12506/100000 [2:31:23<17:00:29, 1.43step/s] Training: 13%|█▎ | 12507/100000 [2:31:23<16:19:23, 1.49step/s] Training: 13%|█▎ | 12508/100000 [2:31:24<17:00:06, 1.43step/s] Training: 13%|█▎ | 12509/100000 [2:31:25<17:36:11, 1.38step/s] Training: 13%|█▎ | 12510/100000 [2:31:25<16:54:55, 1.44step/s] Training: 13%|█▎ | 12511/100000 [2:31:26<17:34:26, 1.38step/s] Training: 13%|█▎ | 12512/100000 [2:31:27<18:00:27, 1.35step/s] Training: 13%|█▎ | 12513/100000 [2:31:28<17:35:59, 1.38step/s] Training: 13%|█▎ | 12514/100000 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Training: 13%|█▎ | 12789/100000 [2:34:44<17:21:43, 1.40step/s] Training: 13%|█▎ | 12790/100000 [2:34:45<16:41:11, 1.45step/s] Training: 13%|█▎ | 12791/100000 [2:34:46<17:11:40, 1.41step/s] Training: 13%|█▎ | 12792/100000 [2:34:46<17:37:09, 1.37step/s] Training: 13%|█▎ | 12793/100000 [2:34:47<18:05:11, 1.34step/s] Training: 13%|█▎ | 12794/100000 [2:34:48<17:12:20, 1.41step/s] Training: 13%|█▎ | 12795/100000 [2:34:48<16:34:58, 1.46step/s] Training: 13%|█▎ | 12796/100000 [2:34:49<17:17:22, 1.40step/s] Training: 13%|█▎ | 12797/100000 [2:34:50<17:35:57, 1.38step/s] Training: 13%|█▎ | 12798/100000 [2:34:51<17:16:34, 1.40step/s] Training: 13%|█▎ | 12799/100000 [2:34:51<17:40:00, 1.37step/s] Training: 13%|█▎ | 12800/100000 [2:34:52<17:55:44, 1.35step/s]INFO 2026-03-12 05:57:08 ot_train.py:435 step:13K smpl:819K ep:3K epch:10.85 loss:0.337 grdn:14.522 lr:1.9e-05 updt_s:0.702 data_s:0.012 Training: 13%|█▎ | 12801/100000 [2:34:53<18:08:50, 1.33step/s] Training: 13%|█▎ | 12802/100000 [2:34:54<18:03:58, 1.34step/s] Training: 13%|█▎ | 12803/100000 [2:34:54<17:10:39, 1.41step/s] Training: 13%|█▎ | 12804/100000 [2:34:55<17:22:17, 1.39step/s] Training: 13%|█▎ | 12805/100000 [2:34:56<17:36:07, 1.38step/s] Training: 13%|█▎ | 12806/100000 [2:34:56<17:56:46, 1.35step/s] Training: 13%|█▎ | 12807/100000 [2:34:57<17:41:46, 1.37step/s] Training: 13%|█▎ | 12808/100000 [2:34:58<18:04:59, 1.34step/s] Training: 13%|█▎ | 12809/100000 [2:34:59<17:59:06, 1.35step/s] Training: 13%|█▎ | 12810/100000 [2:34:59<18:19:59, 1.32step/s] Training: 13%|█▎ | 12811/100000 [2:35:00<17:23:25, 1.39step/s] Training: 13%|█▎ | 12812/100000 [2:35:01<17:12:24, 1.41step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=72581 Training: 13%|█▎ | 12813/100000 [2:35:02<17:46:50, 1.36step/s] Training: 13%|█▎ | 12814/100000 [2:35:02<16:57:59, 1.43step/s] Training: 13%|█▎ | 12815/100000 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[2:36:01<17:34:38, 1.38step/s] Training: 13%|█▎ | 12895/100000 [2:36:01<17:41:02, 1.37step/s] Training: 13%|█▎ | 12896/100000 [2:36:02<17:59:15, 1.35step/s] Training: 13%|█▎ | 12897/100000 [2:36:03<18:10:01, 1.33step/s] Training: 13%|█▎ | 12898/100000 [2:36:04<18:18:06, 1.32step/s] Training: 13%|█▎ | 12899/100000 [2:36:04<17:20:09, 1.40step/s] Training: 13%|█▎ | 12900/100000 [2:36:05<17:17:36, 1.40step/s]INFO 2026-03-12 05:58:21 ot_train.py:435 step:13K smpl:826K ep:3K epch:10.93 loss:0.361 grdn:12.251 lr:1.9e-05 updt_s:0.715 data_s:0.012 Training: 13%|█▎ | 12901/100000 [2:36:06<16:38:35, 1.45step/s] Training: 13%|█▎ | 12902/100000 [2:36:06<16:53:03, 1.43step/s] Training: 13%|█▎ | 12903/100000 [2:36:07<16:53:59, 1.43step/s] Training: 13%|█▎ | 12904/100000 [2:36:08<17:27:43, 1.39step/s] Training: 13%|█▎ | 12905/100000 [2:36:09<17:41:16, 1.37step/s] Training: 13%|█▎ | 12906/100000 [2:36:09<17:55:10, 1.35step/s] Training: 13%|█▎ | 12907/100000 [2:36:10<17:05:03, 1.42step/s] Training: 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1.42step/s] Training: 13%|█▎ | 12940/100000 [2:36:34<17:12:59, 1.40step/s] Training: 13%|█▎ | 12941/100000 [2:36:34<16:43:17, 1.45step/s] Training: 13%|█▎ | 12942/100000 [2:36:35<16:59:39, 1.42step/s] Training: 13%|█▎ | 12943/100000 [2:36:36<17:29:51, 1.38step/s] Training: 13%|█▎ | 12944/100000 [2:36:37<17:23:46, 1.39step/s] Training: 13%|█▎ | 12945/100000 [2:36:37<17:54:54, 1.35step/s] Training: 13%|█▎ | 12946/100000 [2:36:38<18:02:58, 1.34step/s] Training: 13%|█▎ | 12947/100000 [2:36:39<17:06:26, 1.41step/s] Training: 13%|█▎ | 12948/100000 [2:36:40<17:27:23, 1.39step/s] Training: 13%|█▎ | 12949/100000 [2:36:40<16:56:44, 1.43step/s] Training: 13%|█▎ | 12950/100000 [2:36:41<17:20:34, 1.39step/s] Training: 13%|█▎ | 12951/100000 [2:36:42<17:47:41, 1.36step/s] Training: 13%|█▎ | 12952/100000 [2:36:42<17:59:39, 1.34step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=46951 Training: 13%|█▎ | 12953/100000 [2:36:43<18:19:00, 1.32step/s] Training: 13%|█▎ | 12954/100000 [2:36:44<18:42:36, 1.29step/s] Training: 13%|█▎ | 12955/100000 [2:36:45<17:38:41, 1.37step/s] Training: 13%|█▎ | 12956/100000 [2:36:45<18:02:52, 1.34step/s] Training: 13%|█▎ | 12957/100000 [2:36:46<17:09:41, 1.41step/s] Training: 13%|█▎ | 12958/100000 [2:36:47<17:36:19, 1.37step/s] Training: 13%|█▎ | 12959/100000 [2:36:48<17:25:20, 1.39step/s] Training: 13%|█▎ | 12960/100000 [2:36:48<17:41:55, 1.37step/s] Training: 13%|█▎ | 12961/100000 [2:36:49<18:00:57, 1.34step/s] Training: 13%|█▎ | 12962/100000 [2:36:50<18:18:08, 1.32step/s] Training: 13%|█▎ | 12963/100000 [2:36:51<17:21:47, 1.39step/s] Training: 13%|█▎ | 12964/100000 [2:36:51<17:12:05, 1.41step/s] Training: 13%|█▎ | 12965/100000 [2:36:52<16:25:47, 1.47step/s] Training: 13%|█▎ | 12966/100000 [2:36:53<16:50:20, 1.44step/s] Training: 13%|█▎ | 12967/100000 [2:36:53<16:36:06, 1.46step/s] Training: 13%|█▎ | 12968/100000 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Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 13%|█▎ | 12981/100000 [2:37:07<46:27:14, 1.92s/step] Training: 13%|█▎ | 12982/100000 [2:37:08<37:18:36, 1.54s/step] Training: 13%|█▎ | 12983/100000 [2:37:09<32:08:14, 1.33s/step] Training: 13%|█▎ | 12984/100000 [2:37:10<28:19:36, 1.17s/step] Training: 13%|█▎ | 12985/100000 [2:37:10<26:06:12, 1.08s/step] Training: 13%|█▎ | 12986/100000 [2:37:11<24:06:33, 1.00step/s] Training: 13%|█▎ | 12987/100000 [2:37:12<22:36:43, 1.07step/s] Training: 13%|█▎ | 12988/100000 [2:37:13<21:37:19, 1.12step/s] Training: 13%|█▎ | 12989/100000 [2:37:13<19:39:00, 1.23step/s] Training: 13%|█▎ | 12990/100000 [2:37:14<18:25:38, 1.31step/s] Training: 13%|█▎ | 12991/100000 [2:37:15<18:29:06, 1.31step/s] Training: 13%|█▎ | 12992/100000 [2:37:16<18:22:00, 1.32step/s] Training: 13%|█▎ | 12993/100000 [2:37:16<18:22:32, 1.32step/s] 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frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=24631 Training: 13%|█▎ | 13163/100000 [2:39:20<17:11:32, 1.40step/s] Training: 13%|█▎ | 13164/100000 [2:39:21<17:18:16, 1.39step/s] Training: 13%|█▎ | 13165/100000 [2:39:21<16:38:24, 1.45step/s] Training: 13%|█▎ | 13166/100000 [2:39:22<17:26:06, 1.38step/s] Training: 13%|█▎ | 13167/100000 [2:39:23<17:32:14, 1.38step/s] Training: 13%|█▎ | 13168/100000 [2:39:24<17:42:38, 1.36step/s] Training: 13%|█▎ | 13169/100000 [2:39:24<16:53:50, 1.43step/s] Training: 13%|█▎ | 13170/100000 [2:39:25<17:13:39, 1.40step/s] Training: 13%|█▎ | 13171/100000 [2:39:26<17:44:08, 1.36step/s] Training: 13%|█▎ | 13172/100000 [2:39:26<17:03:26, 1.41step/s] Training: 13%|█▎ | 13173/100000 [2:39:27<17:37:28, 1.37step/s] Training: 13%|█▎ | 13174/100000 [2:39:28<17:35:38, 1.37step/s] Training: 13%|█▎ | 13175/100000 [2:39:29<17:45:29, 1.36step/s] Training: 13%|█▎ | 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13189/100000 [2:39:39<16:54:19, 1.43step/s] Training: 13%|█▎ | 13190/100000 [2:39:39<16:17:33, 1.48step/s] Training: 13%|█▎ | 13191/100000 [2:39:40<17:10:15, 1.40step/s] Training: 13%|█▎ | 13192/100000 [2:39:41<17:44:30, 1.36step/s] Training: 13%|█▎ | 13193/100000 [2:39:42<17:43:50, 1.36step/s] Training: 13%|█▎ | 13194/100000 [2:39:42<16:53:51, 1.43step/s] Training: 13%|█▎ | 13195/100000 [2:39:43<17:22:17, 1.39step/s] Training: 13%|█▎ | 13196/100000 [2:39:44<17:36:52, 1.37step/s] Training: 13%|█▎ | 13197/100000 [2:39:44<16:46:39, 1.44step/s] Training: 13%|█▎ | 13198/100000 [2:39:45<16:10:04, 1.49step/s] Training: 13%|█▎ | 13199/100000 [2:39:46<17:09:07, 1.41step/s] Training: 13%|█▎ | 13200/100000 [2:39:47<17:33:10, 1.37step/s]INFO 2026-03-12 06:02:03 ot_train.py:435 step:13K smpl:845K ep:3K epch:11.19 loss:0.294 grdn:11.052 lr:1.9e-05 updt_s:0.711 data_s:0.013 Training: 13%|█▎ | 13201/100000 [2:39:47<16:41:04, 1.45step/s] Training: 13%|█▎ | 13202/100000 [2:39:48<17:03:06, 1.41step/s] 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1.39step/s] Training: 13%|█▎ | 13219/100000 [2:40:00<18:01:09, 1.34step/s] Training: 13%|█▎ | 13220/100000 [2:40:01<17:00:20, 1.42step/s] Training: 13%|█▎ | 13221/100000 [2:40:02<17:40:38, 1.36step/s] Training: 13%|█▎ | 13222/100000 [2:40:02<16:52:12, 1.43step/s] Training: 13%|█▎ | 13223/100000 [2:40:03<17:10:21, 1.40step/s] Training: 13%|█▎ | 13224/100000 [2:40:04<17:36:37, 1.37step/s] Training: 13%|█▎ | 13225/100000 [2:40:05<17:53:14, 1.35step/s] Training: 13%|█▎ | 13226/100000 [2:40:05<17:01:52, 1.42step/s] Training: 13%|█▎ | 13227/100000 [2:40:06<17:45:51, 1.36step/s] Training: 13%|█▎ | 13228/100000 [2:40:07<16:47:55, 1.43step/s] Training: 13%|█▎ | 13229/100000 [2:40:07<17:11:43, 1.40step/s] Training: 13%|█▎ | 13230/100000 [2:40:08<16:36:28, 1.45step/s] Training: 13%|█▎ | 13231/100000 [2:40:09<17:10:18, 1.40step/s] Training: 13%|█▎ | 13232/100000 [2:40:10<17:46:53, 1.36step/s] Training: 13%|█▎ | 13233/100000 [2:40:10<16:55:02, 1.42step/s] Training: 13%|█▎ | 13234/100000 [2:40:11<17:12:13, 1.40step/s] Training: 13%|█▎ | 13235/100000 [2:40:12<17:46:04, 1.36step/s] Training: 13%|█▎ | 13236/100000 [2:40:12<16:57:54, 1.42step/s] Training: 13%|█▎ | 13237/100000 [2:40:13<17:03:58, 1.41step/s] Training: 13%|█▎ | 13238/100000 [2:40:14<16:19:07, 1.48step/s] Training: 13%|█▎ | 13239/100000 [2:40:14<16:56:32, 1.42step/s] Training: 13%|█▎ | 13240/100000 [2:40:15<17:29:54, 1.38step/s] Training: 13%|█▎ | 13241/100000 [2:40:16<17:03:20, 1.41step/s] Training: 13%|█▎ | 13242/100000 [2:40:16<16:18:28, 1.48step/s] Training: 13%|█▎ | 13243/100000 [2:40:17<16:41:49, 1.44step/s] Training: 13%|█▎ | 13244/100000 [2:40:18<16:05:08, 1.50step/s] Training: 13%|█▎ | 13245/100000 [2:40:19<16:23:50, 1.47step/s] Training: 13%|█▎ | 13246/100000 [2:40:19<15:58:56, 1.51step/s] Training: 13%|█▎ | 13247/100000 [2:40:20<16:25:57, 1.47step/s] Training: 13%|█▎ | 13248/100000 [2:40:21<16:57:53, 1.42step/s] Training: 13%|█▎ | 13249/100000 [2:40:21<17:35:04, 1.37step/s] Training: 13%|█▎ | 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Training: 13%|█▎ | 13282/100000 [2:40:45<17:52:15, 1.35step/s] Training: 13%|█▎ | 13283/100000 [2:40:46<17:55:40, 1.34step/s] Training: 13%|█▎ | 13284/100000 [2:40:46<17:08:26, 1.41step/s] Training: 13%|█▎ | 13285/100000 [2:40:47<17:15:01, 1.40step/s] Training: 13%|█▎ | 13286/100000 [2:40:48<16:28:04, 1.46step/s] Training: 13%|█▎ | 13287/100000 [2:40:49<17:02:12, 1.41step/s] Training: 13%|█▎ | 13288/100000 [2:40:49<17:18:44, 1.39step/s] Training: 13%|█▎ | 13289/100000 [2:40:50<17:22:55, 1.39step/s] Training: 13%|█▎ | 13290/100000 [2:40:51<17:47:58, 1.35step/s] Training: 13%|█▎ | 13291/100000 [2:40:52<18:05:25, 1.33step/s] Training: 13%|█▎ | 13292/100000 [2:40:52<17:12:43, 1.40step/s] Training: 13%|█▎ | 13293/100000 [2:40:53<17:29:46, 1.38step/s] Training: 13%|█▎ | 13294/100000 [2:40:54<16:53:10, 1.43step/s] Training: 13%|█▎ | 13295/100000 [2:40:54<17:14:34, 1.40step/s] Training: 13%|█▎ | 13296/100000 [2:40:55<17:36:34, 1.37step/s] Training: 13%|█▎ | 13297/100000 [2:40:56<16:49:50, 1.43step/s] Training: 13%|█▎ | 13298/100000 [2:40:57<18:00:55, 1.34step/s] Training: 13%|█▎ | 13299/100000 [2:40:57<18:10:16, 1.33step/s] Training: 13%|█▎ | 13300/100000 [2:40:58<17:14:47, 1.40step/s]INFO 2026-03-12 06:03:14 ot_train.py:435 step:13K smpl:851K ep:3K epch:11.27 loss:0.283 grdn:11.363 lr:1.9e-05 updt_s:0.700 data_s:0.013 Training: 13%|█▎ | 13301/100000 [2:40:59<17:27:21, 1.38step/s] Training: 13%|█▎ | 13302/100000 [2:40:59<16:50:24, 1.43step/s] Training: 13%|█▎ | 13303/100000 [2:41:00<17:13:57, 1.40step/s] Training: 13%|█▎ | 13304/100000 [2:41:01<17:30:01, 1.38step/s] Training: 13%|█▎ | 13305/100000 [2:41:02<17:42:39, 1.36step/s] Training: 13%|█▎ | 13306/100000 [2:41:02<17:43:12, 1.36step/s] Training: 13%|█▎ | 13307/100000 [2:41:03<17:55:17, 1.34step/s] Training: 13%|█▎ | 13308/100000 [2:41:04<17:07:30, 1.41step/s] Training: 13%|█▎ | 13309/100000 [2:41:05<17:14:16, 1.40step/s] Training: 13%|█▎ | 13310/100000 [2:41:05<16:35:02, 1.45step/s] Training: 13%|█▎ | 13311/100000 [2:41:06<16:41:32, 1.44step/s] Training: 13%|█▎ | 13312/100000 [2:41:07<17:14:09, 1.40step/s] Training: 13%|█▎ | 13313/100000 [2:41:07<17:33:27, 1.37step/s] Training: 13%|█▎ | 13314/100000 [2:41:08<17:37:35, 1.37step/s] Training: 13%|█▎ | 13315/100000 [2:41:09<18:02:42, 1.33step/s] Training: 13%|█▎ | 13316/100000 [2:41:10<17:11:20, 1.40step/s] Training: 13%|█▎ | 13317/100000 [2:41:10<17:20:26, 1.39step/s] Training: 13%|█▎ | 13318/100000 [2:41:11<16:37:46, 1.45step/s] Training: 13%|█▎ | 13319/100000 [2:41:12<17:18:12, 1.39step/s] Training: 13%|█▎ | 13320/100000 [2:41:13<17:51:58, 1.35step/s] Training: 13%|█▎ | 13321/100000 [2:41:13<17:46:11, 1.35step/s] Training: 13%|█▎ | 13322/100000 [2:41:14<17:05:31, 1.41step/s] Training: 13%|█▎ | 13323/100000 [2:41:15<17:46:23, 1.35step/s] Training: 13%|█▎ | 13324/100000 [2:41:15<17:08:48, 1.40step/s] Training: 13%|█▎ | 13325/100000 [2:41:16<17:27:59, 1.38step/s] Training: 13%|█▎ | 13326/100000 [2:41:17<16:53:35, 1.43step/s] Training: 13%|█▎ | 13327/100000 [2:41:18<17:18:38, 1.39step/s] Training: 13%|█▎ | 13328/100000 [2:41:18<17:35:50, 1.37step/s] Training: 13%|█▎ | 13329/100000 [2:41:19<16:53:29, 1.43step/s] Training: 13%|█▎ | 13330/100000 [2:41:20<17:29:14, 1.38step/s] Training: 13%|█▎ | 13331/100000 [2:41:20<17:55:15, 1.34step/s] Training: 13%|█▎ | 13332/100000 [2:41:21<17:06:02, 1.41step/s] Training: 13%|█▎ | 13333/100000 [2:41:22<17:26:54, 1.38step/s] Training: 13%|█▎ | 13334/100000 [2:41:22<16:42:49, 1.44step/s] Training: 13%|█▎ | 13335/100000 [2:41:23<17:12:26, 1.40step/s] Training: 13%|█▎ | 13336/100000 [2:41:24<17:25:55, 1.38step/s] Training: 13%|█▎ | 13337/100000 [2:41:25<17:49:35, 1.35step/s] Training: 13%|█▎ | 13338/100000 [2:41:25<16:58:23, 1.42step/s] Training: 13%|█▎ | 13339/100000 [2:41:26<17:31:56, 1.37step/s] Training: 13%|█▎ | 13340/100000 [2:41:27<16:44:58, 1.44step/s] Training: 13%|█▎ | 13341/100000 [2:41:28<16:52:20, 1.43step/s] Training: 13%|█▎ | 13342/100000 [2:41:28<16:20:04, 1.47step/s] Training: 13%|█▎ | 13343/100000 [2:41:29<16:42:06, 1.44step/s] Training: 13%|█▎ | 13344/100000 [2:41:30<16:40:04, 1.44step/s] Training: 13%|█▎ | 13345/100000 [2:41:30<17:36:33, 1.37step/s] Training: 13%|█▎ | 13346/100000 [2:41:31<16:41:43, 1.44step/s] Training: 13%|█▎ | 13347/100000 [2:41:32<17:24:52, 1.38step/s] Training: 13%|█▎ | 13348/100000 [2:41:32<16:40:34, 1.44step/s] Training: 13%|█▎ | 13349/100000 [2:41:33<16:47:30, 1.43step/s] Training: 13%|█▎ | 13350/100000 [2:41:34<16:19:01, 1.48step/s] Training: 13%|█▎ | 13351/100000 [2:41:35<17:05:01, 1.41step/s] Training: 13%|█▎ | 13352/100000 [2:41:35<17:08:51, 1.40step/s] Training: 13%|█▎ | 13353/100000 [2:41:36<17:07:39, 1.41step/s] Training: 13%|█▎ | 13354/100000 [2:41:37<16:31:11, 1.46step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=24631 Training: 13%|█▎ | 13355/100000 [2:41:37<16:06:45, 1.49step/s] Training: 13%|█▎ | 13356/100000 [2:41:38<17:02:36, 1.41step/s] Training: 13%|█▎ | 13357/100000 [2:41:39<17:13:11, 1.40step/s] Training: 13%|█▎ | 13358/100000 [2:41:39<16:25:00, 1.47step/s] Training: 13%|█▎ | 13359/100000 [2:41:40<16:59:51, 1.42step/s] Training: 13%|█▎ | 13360/100000 [2:41:41<17:27:26, 1.38step/s] Training: 13%|█▎ | 13361/100000 [2:41:41<16:42:49, 1.44step/s] Training: 13%|█▎ | 13362/100000 [2:41:42<17:05:10, 1.41step/s] Training: 13%|█▎ | 13363/100000 [2:41:43<17:26:54, 1.38step/s] Training: 13%|█▎ | 13364/100000 [2:41:44<18:23:32, 1.31step/s] Training: 13%|█▎ | 13365/100000 [2:41:45<18:16:07, 1.32step/s] Training: 13%|█▎ | 13366/100000 [2:41:45<17:18:14, 1.39step/s] Training: 13%|█▎ | 13367/100000 [2:41:46<17:47:02, 1.35step/s] Training: 13%|█▎ | 13368/100000 [2:41:47<18:05:19, 1.33step/s] Training: 13%|█▎ | 13369/100000 [2:41:47<17:37:35, 1.37step/s] Training: 13%|█▎ | 13370/100000 [2:41:48<16:56:24, 1.42step/s] Training: 13%|█▎ | 13371/100000 [2:41:49<16:51:19, 1.43step/s] Training: 13%|█▎ | 13372/100000 [2:41:50<17:20:52, 1.39step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=65508 Training: 13%|█▎ | 13373/100000 [2:41:50<17:15:19, 1.39step/s] Training: 13%|█▎ | 13374/100000 [2:41:51<16:29:32, 1.46step/s] Training: 13%|█▎ | 13375/100000 [2:41:52<16:54:09, 1.42step/s] Training: 13%|█▎ | 13376/100000 [2:41:52<17:30:13, 1.37step/s] Training: 13%|█▎ | 13377/100000 [2:41:53<17:57:26, 1.34step/s] Training: 13%|█▎ | 13378/100000 [2:41:54<17:15:35, 1.39step/s] Training: 13%|█▎ | 13379/100000 [2:41:55<17:51:15, 1.35step/s] Training: 13%|█▎ | 13380/100000 [2:41:55<18:07:37, 1.33step/s] Training: 13%|█▎ | 13381/100000 [2:41:56<17:50:59, 1.35step/s] Training: 13%|█▎ | 13382/100000 [2:41:57<16:53:17, 1.42step/s] Training: 13%|█▎ | 13383/100000 [2:41:58<17:27:51, 1.38step/s] Training: 13%|█▎ | 13384/100000 [2:41:58<17:57:59, 1.34step/s] Training: 13%|█▎ | 13385/100000 [2:41:59<17:39:16, 1.36step/s] Training: 13%|█▎ | 13386/100000 [2:42:00<16:58:45, 1.42step/s] Training: 13%|█▎ | 13387/100000 [2:42:00<16:25:25, 1.46step/s] Training: 13%|█▎ | 13388/100000 [2:42:01<17:18:56, 1.39step/s] Training: 13%|█▎ | 13389/100000 [2:42:02<17:37:43, 1.36step/s] Training: 13%|█▎ | 13390/100000 [2:42:03<16:45:51, 1.44step/s] Training: 13%|█▎ | 13391/100000 [2:42:03<17:11:49, 1.40step/s] Training: 13%|█▎ | 13392/100000 [2:42:04<17:09:13, 1.40step/s] Training: 13%|█▎ | 13393/100000 [2:42:05<17:32:04, 1.37step/s] Training: 13%|█▎ | 13394/100000 [2:42:05<16:47:40, 1.43step/s] Training: 13%|█▎ | 13395/100000 [2:42:06<16:58:33, 1.42step/s] Training: 13%|█▎ | 13396/100000 [2:42:07<17:01:44, 1.41step/s] Training: 13%|█▎ | 13397/100000 [2:42:08<17:32:46, 1.37step/s] Training: 13%|█▎ | 13398/100000 [2:42:08<16:45:03, 1.44step/s] Training: 13%|█▎ | 13399/100000 [2:42:09<17:33:27, 1.37step/s] Training: 13%|█▎ | 13400/100000 [2:42:10<17:50:53, 1.35step/s]INFO 2026-03-12 06:04:26 ot_train.py:435 step:13K smpl:858K ep:3K epch:11.36 loss:0.305 grdn:13.107 lr:1.9e-05 updt_s:0.703 data_s:0.013 Training: 13%|█▎ | 13401/100000 [2:42:11<18:00:44, 1.34step/s] Training: 13%|█▎ | 13402/100000 [2:42:11<16:57:25, 1.42step/s] Training: 13%|█▎ | 13403/100000 [2:42:12<17:17:34, 1.39step/s] Training: 13%|█▎ | 13404/100000 [2:42:13<17:46:00, 1.35step/s] Training: 13%|█▎ | 13405/100000 [2:42:13<18:00:37, 1.34step/s] Training: 13%|█▎ | 13406/100000 [2:42:14<17:04:44, 1.41step/s] Training: 13%|█▎ | 13407/100000 [2:42:15<17:07:00, 1.41step/s] Training: 13%|█▎ | 13408/100000 [2:42:16<17:32:27, 1.37step/s] Training: 13%|█▎ | 13409/100000 [2:42:16<17:57:00, 1.34step/s] Training: 13%|█▎ | 13410/100000 [2:42:17<16:55:02, 1.42step/s] Training: 13%|█▎ | 13411/100000 [2:42:18<17:14:52, 1.39step/s] Training: 13%|█▎ | 13412/100000 [2:42:18<17:42:06, 1.36step/s] Training: 13%|█▎ | 13413/100000 [2:42:19<18:05:05, 1.33step/s] Training: 13%|█▎ | 13414/100000 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[2:43:18<17:28:57, 1.37step/s] Training: 13%|█▎ | 13494/100000 [2:43:19<16:45:18, 1.43step/s] Training: 13%|█▎ | 13495/100000 [2:43:19<17:24:13, 1.38step/s] Training: 13%|█▎ | 13496/100000 [2:43:20<18:06:00, 1.33step/s] Training: 13%|█▎ | 13497/100000 [2:43:21<18:17:18, 1.31step/s] Training: 13%|█▎ | 13498/100000 [2:43:22<17:20:50, 1.39step/s] Training: 13%|█▎ | 13499/100000 [2:43:22<17:41:54, 1.36step/s] Training: 14%|█▎ | 13500/100000 [2:43:23<18:09:50, 1.32step/s]INFO 2026-03-12 06:05:39 ot_train.py:435 step:14K smpl:864K ep:3K epch:11.44 loss:0.311 grdn:11.633 lr:1.9e-05 updt_s:0.719 data_s:0.013 Training: 14%|█▎ | 13501/100000 [2:43:24<18:00:02, 1.33step/s] Training: 14%|█▎ | 13502/100000 [2:43:25<17:10:26, 1.40step/s] Training: 14%|█▎ | 13503/100000 [2:43:25<17:30:48, 1.37step/s] Training: 14%|█▎ | 13504/100000 [2:43:26<17:57:53, 1.34step/s] Training: 14%|█▎ | 13505/100000 [2:43:27<17:36:40, 1.36step/s] Training: 14%|█▎ | 13506/100000 [2:43:27<17:03:21, 1.41step/s] Training: 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14%|█▎ | 13586/100000 [2:44:26<17:13:44, 1.39step/s] Training: 14%|█▎ | 13587/100000 [2:44:27<17:37:56, 1.36step/s] Training: 14%|█▎ | 13588/100000 [2:44:27<17:27:29, 1.37step/s] Training: 14%|█▎ | 13589/100000 [2:44:28<17:41:01, 1.36step/s] Training: 14%|█▎ | 13590/100000 [2:44:29<16:52:44, 1.42step/s] Training: 14%|█▎ | 13591/100000 [2:44:29<17:21:22, 1.38step/s] Training: 14%|█▎ | 13592/100000 [2:44:30<17:15:33, 1.39step/s] Training: 14%|█▎ | 13593/100000 [2:44:31<17:37:45, 1.36step/s] Training: 14%|█▎ | 13594/100000 [2:44:32<16:49:32, 1.43step/s] Training: 14%|█▎ | 13595/100000 [2:44:32<17:49:57, 1.35step/s] Training: 14%|█▎ | 13596/100000 [2:44:33<18:01:55, 1.33step/s] Training: 14%|█▎ | 13597/100000 [2:44:34<17:59:22, 1.33step/s] Training: 14%|█▎ | 13598/100000 [2:44:34<16:56:45, 1.42step/s] Training: 14%|█▎ | 13599/100000 [2:44:35<17:08:34, 1.40step/s] Training: 14%|█▎ | 13600/100000 [2:44:36<16:35:54, 1.45step/s]INFO 2026-03-12 06:06:52 ot_train.py:435 step:14K smpl:870K ep:3K epch:11.53 loss:0.310 grdn:11.969 lr:1.9e-05 updt_s:0.713 data_s:0.013 Training: 14%|█▎ | 13601/100000 [2:44:37<18:04:41, 1.33step/s] Training: 14%|█▎ | 13602/100000 [2:44:37<17:08:18, 1.40step/s] Training: 14%|█▎ | 13603/100000 [2:44:38<17:40:44, 1.36step/s] Training: 14%|█▎ | 13604/100000 [2:44:39<17:48:04, 1.35step/s] Training: 14%|█▎ | 13605/100000 [2:44:40<17:45:53, 1.35step/s] Training: 14%|█▎ | 13606/100000 [2:44:40<17:07:49, 1.40step/s] Training: 14%|█▎ | 13607/100000 [2:44:41<17:26:19, 1.38step/s] Training: 14%|█▎ | 13608/100000 [2:44:42<17:48:50, 1.35step/s] Training: 14%|█▎ | 13609/100000 [2:44:43<17:31:20, 1.37step/s] Training: 14%|█▎ | 13610/100000 [2:44:43<16:37:41, 1.44step/s] Training: 14%|█▎ | 13611/100000 [2:44:44<16:57:22, 1.42step/s] Training: 14%|█▎ | 13612/100000 [2:44:45<17:21:24, 1.38step/s] Training: 14%|█▎ | 13613/100000 [2:44:45<16:40:35, 1.44step/s] Training: 14%|█▎ | 13614/100000 [2:44:46<17:21:00, 1.38step/s] Training: 14%|█▎ | 13615/100000 [2:44:47<17:45:23, 1.35step/s] Training: 14%|█▎ | 13616/100000 [2:44:48<18:01:30, 1.33step/s] Training: 14%|█▎ | 13617/100000 [2:44:48<18:13:57, 1.32step/s] Training: 14%|█▎ | 13618/100000 [2:44:49<17:22:03, 1.38step/s] Training: 14%|█▎ | 13619/100000 [2:44:50<17:44:22, 1.35step/s] Training: 14%|█▎ | 13620/100000 [2:44:51<17:50:16, 1.35step/s] Training: 14%|█▎ | 13621/100000 [2:44:51<18:12:28, 1.32step/s] Training: 14%|█▎ | 13622/100000 [2:44:52<17:18:40, 1.39step/s] Training: 14%|█▎ | 13623/100000 [2:44:53<17:45:23, 1.35step/s] Training: 14%|█▎ | 13624/100000 [2:44:54<17:50:38, 1.34step/s] Training: 14%|█▎ | 13625/100000 [2:44:54<18:08:01, 1.32step/s] Training: 14%|█▎ | 13626/100000 [2:44:55<17:13:21, 1.39step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=24631 Training: 14%|█▎ | 13627/100000 [2:44:56<17:42:08, 1.36step/s] Training: 14%|█▎ | 13628/100000 [2:44:57<18:09:42, 1.32step/s] Training: 14%|█▎ | 13629/100000 [2:44:57<18:23:02, 1.31step/s] Training: 14%|█▎ | 13630/100000 [2:44:58<17:20:57, 1.38step/s] Training: 14%|█▎ | 13631/100000 [2:44:59<17:25:21, 1.38step/s] Training: 14%|█▎ | 13632/100000 [2:44:59<16:42:51, 1.44step/s] Training: 14%|█▎ | 13633/100000 [2:45:00<18:09:48, 1.32step/s] Training: 14%|█▎ | 13634/100000 [2:45:01<17:05:12, 1.40step/s] Training: 14%|█▎ | 13635/100000 [2:45:02<17:14:39, 1.39step/s] Training: 14%|█▎ | 13636/100000 [2:45:02<17:49:41, 1.35step/s] Training: 14%|█▎ | 13637/100000 [2:45:03<17:57:55, 1.34step/s] Training: 14%|█▎ | 13638/100000 [2:45:04<17:03:55, 1.41step/s] Training: 14%|█▎ | 13639/100000 [2:45:05<17:28:23, 1.37step/s] Training: 14%|█▎ | 13640/100000 [2:45:05<17:14:49, 1.39step/s] Training: 14%|█▎ | 13641/100000 [2:45:06<17:19:11, 1.39step/s] Training: 14%|█▎ | 13642/100000 [2:45:07<16:40:14, 1.44step/s] Training: 14%|█▎ | 13643/100000 [2:45:07<16:46:58, 1.43step/s] Training: 14%|█▎ | 13644/100000 [2:45:08<17:15:06, 1.39step/s] Training: 14%|█▎ | 13645/100000 [2:45:09<17:40:21, 1.36step/s] Training: 14%|█▎ | 13646/100000 [2:45:09<16:51:15, 1.42step/s] Training: 14%|█▎ | 13647/100000 [2:45:10<17:12:41, 1.39step/s] Training: 14%|█▎ | 13648/100000 [2:45:11<17:12:41, 1.39step/s] Training: 14%|█▎ | 13649/100000 [2:45:12<17:40:56, 1.36step/s] Training: 14%|█▎ | 13650/100000 [2:45:12<16:56:55, 1.42step/s] Training: 14%|█▎ | 13651/100000 [2:45:13<17:18:02, 1.39step/s] Training: 14%|█▎ | 13652/100000 [2:45:14<17:47:15, 1.35step/s] Training: 14%|█▎ | 13653/100000 [2:45:15<18:02:06, 1.33step/s] Training: 14%|█▎ | 13654/100000 [2:45:15<16:57:36, 1.41step/s] Training: 14%|█▎ | 13655/100000 [2:45:16<17:17:13, 1.39step/s] Training: 14%|█▎ | 13656/100000 [2:45:17<17:16:11, 1.39step/s] Training: 14%|█▎ | 13657/100000 [2:45:18<17:55:26, 1.34step/s] Training: 14%|█▎ | 13658/100000 [2:45:18<17:03:25, 1.41step/s] Training: 14%|█▎ | 13659/100000 [2:45:19<17:27:58, 1.37step/s] Training: 14%|█▎ | 13660/100000 [2:45:20<17:40:17, 1.36step/s] Training: 14%|█▎ | 13661/100000 [2:45:20<17:55:29, 1.34step/s] Training: 14%|█▎ | 13662/100000 [2:45:21<17:01:32, 1.41step/s] Training: 14%|█▎ | 13663/100000 [2:45:22<16:59:52, 1.41step/s] Training: 14%|█▎ | 13664/100000 [2:45:23<17:31:54, 1.37step/s] Training: 14%|█▎ | 13665/100000 [2:45:23<17:53:30, 1.34step/s] Training: 14%|█▎ | 13666/100000 [2:45:24<17:01:34, 1.41step/s] Training: 14%|█▎ | 13667/100000 [2:45:25<17:02:13, 1.41step/s] Training: 14%|█▎ | 13668/100000 [2:45:25<17:22:36, 1.38step/s] Training: 14%|█▎ | 13669/100000 [2:45:26<18:09:10, 1.32step/s] Training: 14%|█▎ | 13670/100000 [2:45:27<17:18:09, 1.39step/s] Training: 14%|█▎ | 13671/100000 [2:45:28<17:30:51, 1.37step/s] Training: 14%|█▎ | 13672/100000 [2:45:28<17:44:30, 1.35step/s] Training: 14%|█▎ | 13673/100000 [2:45:29<17:33:07, 1.37step/s] Training: 14%|█▎ | 13674/100000 [2:45:30<16:38:49, 1.44step/s] Training: 14%|█▎ | 13675/100000 [2:45:30<16:47:31, 1.43step/s] Training: 14%|█▎ | 13676/100000 [2:45:31<17:20:09, 1.38step/s] Training: 14%|█▎ | 13677/100000 [2:45:32<17:28:13, 1.37step/s] Training: 14%|█▎ | 13678/100000 [2:45:33<16:54:14, 1.42step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=18672 Training: 14%|█▎ | 13679/100000 [2:45:33<17:34:25, 1.36step/s] Training: 14%|█▎ | 13680/100000 [2:45:34<17:32:38, 1.37step/s] Training: 14%|█▎ | 13681/100000 [2:45:35<17:49:41, 1.34step/s] Training: 14%|█▎ | 13682/100000 [2:45:36<18:08:54, 1.32step/s] Training: 14%|█▎ | 13683/100000 [2:45:37<18:18:01, 1.31step/s] Training: 14%|█▎ | 13684/100000 [2:45:37<18:13:51, 1.32step/s] Training: 14%|█▎ | 13685/100000 [2:45:38<18:30:08, 1.30step/s] Training: 14%|█▎ | 13686/100000 [2:45:39<17:27:01, 1.37step/s] Training: 14%|█▎ | 13687/100000 [2:45:39<17:54:04, 1.34step/s] Training: 14%|█▎ | 13688/100000 [2:45:40<17:47:14, 1.35step/s] Training: 14%|█▎ | 13689/100000 [2:45:41<17:52:23, 1.34step/s] Training: 14%|█▎ | 13690/100000 [2:45:42<17:43:11, 1.35step/s] Training: 14%|█▎ | 13691/100000 [2:45:42<18:06:14, 1.32step/s] Training: 14%|█▎ | 13692/100000 [2:45:43<18:06:40, 1.32step/s] Training: 14%|█▎ | 13693/100000 [2:45:44<18:01:32, 1.33step/s] Training: 14%|█▎ | 13694/100000 [2:45:45<17:12:46, 1.39step/s] Training: 14%|█▎ | 13695/100000 [2:45:45<17:09:13, 1.40step/s] Training: 14%|█▎ | 13696/100000 [2:45:46<17:41:08, 1.36step/s] Training: 14%|█▎ | 13697/100000 [2:45:47<17:34:31, 1.36step/s] Training: 14%|█▎ | 13698/100000 [2:45:48<17:13:36, 1.39step/s] Training: 14%|█▎ | 13699/100000 [2:45:48<17:09:21, 1.40step/s] Training: 14%|█▎ | 13700/100000 [2:45:49<17:36:30, 1.36step/s]INFO 2026-03-12 06:08:05 ot_train.py:435 step:14K smpl:877K ep:3K epch:11.61 loss:0.332 grdn:11.835 lr:1.9e-05 updt_s:0.717 data_s:0.012 Training: 14%|█▎ | 13701/100000 [2:45:50<17:25:13, 1.38step/s] Training: 14%|█▎ | 13702/100000 [2:45:51<18:16:10, 1.31step/s] Training: 14%|█▎ | 13703/100000 [2:45:51<18:06:03, 1.32step/s] Training: 14%|█▎ | 13704/100000 [2:45:52<17:09:56, 1.40step/s] Training: 14%|█▎ | 13705/100000 [2:45:53<17:46:22, 1.35step/s] Training: 14%|█▎ | 13706/100000 [2:45:53<17:48:02, 1.35step/s] Training: 14%|█▎ | 13707/100000 [2:45:54<17:41:41, 1.35step/s] Training: 14%|█▎ | 13708/100000 [2:45:55<18:10:35, 1.32step/s] Training: 14%|█▎ | 13709/100000 [2:45:56<17:12:45, 1.39step/s] Training: 14%|█▎ | 13710/100000 [2:45:56<18:13:08, 1.32step/s] Training: 14%|█▎ | 13711/100000 [2:45:57<18:13:45, 1.31step/s] Training: 14%|█▎ | 13712/100000 [2:45:58<17:17:51, 1.39step/s] Training: 14%|█▎ | 13713/100000 [2:45:59<17:32:26, 1.37step/s] Training: 14%|█▎ | 13714/100000 [2:45:59<17:42:11, 1.35step/s] Training: 14%|█▎ | 13715/100000 [2:46:00<17:51:43, 1.34step/s] Training: 14%|█▎ | 13716/100000 [2:46:01<17:42:23, 1.35step/s] Training: 14%|█▎ | 13717/100000 [2:46:02<18:05:18, 1.33step/s] Training: 14%|█▎ | 13718/100000 [2:46:02<18:19:30, 1.31step/s] Training: 14%|█▎ | 13719/100000 [2:46:03<18:07:58, 1.32step/s] Training: 14%|█▎ | 13720/100000 [2:46:04<17:09:31, 1.40step/s] Training: 14%|█▎ | 13721/100000 [2:46:05<17:29:05, 1.37step/s] Training: 14%|█▎ | 13722/100000 [2:46:05<17:39:36, 1.36step/s] Training: 14%|█▎ | 13723/100000 [2:46:06<17:51:42, 1.34step/s] Training: 14%|█▎ | 13724/100000 [2:46:07<17:55:51, 1.34step/s] Training: 14%|█▎ | 13725/100000 [2:46:08<17:37:59, 1.36step/s] Training: 14%|█▎ | 13726/100000 [2:46:08<17:55:00, 1.34step/s] Training: 14%|█▎ | 13727/100000 [2:46:09<17:37:18, 1.36step/s] Training: 14%|█▎ | 13728/100000 [2:46:10<16:49:06, 1.42step/s] Training: 14%|█▎ | 13729/100000 [2:46:10<17:19:36, 1.38step/s] Training: 14%|█▎ | 13730/100000 [2:46:11<17:19:59, 1.38step/s] Training: 14%|█▎ | 13731/100000 [2:46:12<17:13:47, 1.39step/s] Training: 14%|█▎ | 13732/100000 [2:46:13<17:40:03, 1.36step/s] Training: 14%|█▎ | 13733/100000 [2:46:13<17:31:08, 1.37step/s] Training: 14%|█▎ | 13734/100000 [2:46:14<16:49:44, 1.42step/s] Training: 14%|█▎ | 13735/100000 [2:46:15<17:25:21, 1.38step/s] Training: 14%|█▎ | 13736/100000 [2:46:15<16:52:45, 1.42step/s] Training: 14%|█▎ | 13737/100000 [2:46:16<17:12:01, 1.39step/s] Training: 14%|█▎ | 13738/100000 [2:46:17<17:47:22, 1.35step/s] Training: 14%|█▎ | 13739/100000 [2:46:18<17:54:06, 1.34step/s] Training: 14%|█▎ | 13740/100000 [2:46:19<18:15:13, 1.31step/s] Training: 14%|█▎ | 13741/100000 [2:46:19<17:24:36, 1.38step/s] Training: 14%|█▎ | 13742/100000 [2:46:20<18:21:10, 1.31step/s] Training: 14%|█▎ | 13743/100000 [2:46:21<18:38:33, 1.29step/s] Training: 14%|█▎ | 13744/100000 [2:46:21<17:40:47, 1.36step/s] Training: 14%|█▎ | 13745/100000 [2:46:22<17:54:13, 1.34step/s] Training: 14%|█▎ | 13746/100000 [2:46:23<18:07:34, 1.32step/s] Training: 14%|█▎ | 13747/100000 [2:46:24<17:12:59, 1.39step/s] Training: 14%|█▎ | 13748/100000 [2:46:24<17:36:52, 1.36step/s] Training: 14%|█▎ | 13749/100000 [2:46:25<17:58:11, 1.33step/s] Training: 14%|█▍ | 13750/100000 [2:46:26<16:56:03, 1.41step/s] Training: 14%|█▍ | 13751/100000 [2:46:27<17:30:15, 1.37step/s] Training: 14%|█▍ | 13752/100000 [2:46:27<16:34:55, 1.44step/s] Training: 14%|█▍ | 13753/100000 [2:46:28<17:00:40, 1.41step/s] Training: 14%|█▍ | 13754/100000 [2:46:29<17:23:42, 1.38step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=22022 Training: 14%|█▍ | 13755/100000 [2:46:29<16:32:38, 1.45step/s] Training: 14%|█▍ | 13756/100000 [2:46:30<17:12:35, 1.39step/s] Training: 14%|█▍ | 13757/100000 [2:46:31<17:40:10, 1.36step/s] Training: 14%|█▍ | 13758/100000 [2:46:32<16:59:57, 1.41step/s] Training: 14%|█▍ | 13759/100000 [2:46:32<17:18:36, 1.38step/s] Training: 14%|█▍ | 13760/100000 [2:46:33<16:34:35, 1.45step/s] Training: 14%|█▍ | 13761/100000 [2:46:34<17:03:39, 1.40step/s] Training: 14%|█▍ | 13762/100000 [2:46:34<17:06:55, 1.40step/s] 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ot_train.py:435 step:14K smpl:902K ep:3K epch:11.95 loss:0.312 grdn:12.003 lr:1.9e-05 updt_s:0.703 data_s:0.013 Training: 14%|█▍ | 14101/100000 [2:50:38<16:50:31, 1.42step/s] Training: 14%|█▍ | 14102/100000 [2:50:39<17:20:22, 1.38step/s] Training: 14%|█▍ | 14103/100000 [2:50:39<17:22:00, 1.37step/s] Training: 14%|█▍ | 14104/100000 [2:50:40<16:38:42, 1.43step/s] Training: 14%|█▍ | 14105/100000 [2:50:41<17:18:10, 1.38step/s] Training: 14%|█▍ | 14106/100000 [2:50:41<17:48:25, 1.34step/s] Training: 14%|█▍ | 14107/100000 [2:50:42<16:59:48, 1.40step/s] Training: 14%|█▍ | 14108/100000 [2:50:43<17:29:39, 1.36step/s] Training: 14%|█▍ | 14109/100000 [2:50:43<16:35:28, 1.44step/s] Training: 14%|█▍ | 14110/100000 [2:50:44<17:01:41, 1.40step/s] Training: 14%|█▍ | 14111/100000 [2:50:45<16:59:59, 1.40step/s] Training: 14%|█▍ | 14112/100000 [2:50:46<16:23:59, 1.45step/s] Training: 14%|█▍ | 14113/100000 [2:50:46<17:12:00, 1.39step/s] Training: 14%|█▍ | 14114/100000 [2:50:47<17:09:46, 1.39step/s] 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already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISMTOKENIZERS_PARALLELISM=(true | false) =(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) [Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=38230 Training: 14%|█▍ | 14161/100000 [2:51:24<47:16:30, 1.98s/step] Training: 14%|█▍ | 14162/100000 [2:51:25<37:50:44, 1.59s/step] Training: 14%|█▍ | 14163/100000 [2:51:26<32:29:02, 1.36s/step] Training: 14%|█▍ | 14164/100000 [2:51:27<28:27:40, 1.19s/step] Training: 14%|█▍ | 14165/100000 [2:51:27<24:23:14, 1.02s/step] Training: 14%|█▍ | 14166/100000 [2:51:28<21:36:27, 1.10step/s] Training: 14%|█▍ | 14167/100000 [2:51:29<21:21:25, 1.12step/s] Training: 14%|█▍ | 14168/100000 [2:51:29<19:24:31, 1.23step/s] Training: 14%|█▍ | 14169/100000 [2:51:30<18:04:25, 1.32step/s] Training: 14%|█▍ | 14170/100000 [2:51:31<17:11:46, 1.39step/s] Training: 14%|█▍ | 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ot_train.py:435 step:14K smpl:922K ep:3K epch:12.21 loss:0.286 grdn:11.646 lr:1.9e-05 updt_s:0.700 data_s:0.012 Training: 14%|█▍ | 14401/100000 [2:54:16<16:48:00, 1.42step/s] Training: 14%|█▍ | 14402/100000 [2:54:17<17:25:58, 1.36step/s] Training: 14%|█▍ | 14403/100000 [2:54:18<17:59:09, 1.32step/s] Training: 14%|█▍ | 14404/100000 [2:54:19<18:03:51, 1.32step/s] Training: 14%|█▍ | 14405/100000 [2:54:19<17:11:31, 1.38step/s] Training: 14%|█▍ | 14406/100000 [2:54:20<16:30:03, 1.44step/s] Training: 14%|█▍ | 14407/100000 [2:54:21<18:12:50, 1.31step/s] Training: 14%|█▍ | 14408/100000 [2:54:21<17:18:09, 1.37step/s] Training: 14%|█▍ | 14409/100000 [2:54:22<16:38:13, 1.43step/s] Training: 14%|█▍ | 14410/100000 [2:54:23<17:18:37, 1.37step/s] Training: 14%|█▍ | 14411/100000 [2:54:24<17:38:45, 1.35step/s] Training: 14%|█▍ | 14412/100000 [2:54:24<18:08:11, 1.31step/s] Training: 14%|█▍ | 14413/100000 [2:54:25<17:12:09, 1.38step/s] Training: 14%|█▍ | 14414/100000 [2:54:26<17:28:41, 1.36step/s] 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1.40step/s] Training: 15%|█▍ | 14571/100000 [2:56:18<17:14:25, 1.38step/s] Training: 15%|█▍ | 14572/100000 [2:56:19<17:40:31, 1.34step/s] Training: 15%|█▍ | 14573/100000 [2:56:20<16:49:27, 1.41step/s] Training: 15%|█▍ | 14574/100000 [2:56:20<17:12:27, 1.38step/s] Training: 15%|█▍ | 14575/100000 [2:56:21<17:22:39, 1.37step/s] Training: 15%|█▍ | 14576/100000 [2:56:22<16:27:28, 1.44step/s] Training: 15%|█▍ | 14577/100000 [2:56:22<15:59:16, 1.48step/s] Training: 15%|█▍ | 14578/100000 [2:56:23<17:02:23, 1.39step/s] Training: 15%|█▍ | 14579/100000 [2:56:24<17:12:27, 1.38step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=56197 Training: 15%|█▍ | 14580/100000 [2:56:25<17:41:43, 1.34step/s] Training: 15%|█▍ | 14581/100000 [2:56:25<16:49:05, 1.41step/s] Training: 15%|█▍ | 14582/100000 [2:56:26<17:25:16, 1.36step/s] Training: 15%|█▍ | 14583/100000 [2:56:27<17:28:23, 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[2:56:38<18:00:04, 1.32step/s] Training: 15%|█▍ | 14600/100000 [2:56:39<17:12:58, 1.38step/s]INFO 2026-03-12 06:18:55 ot_train.py:435 step:15K smpl:934K ep:3K epch:12.38 loss:0.296 grdn:11.180 lr:1.9e-05 updt_s:0.705 data_s:0.012 Training: 15%|█▍ | 14601/100000 [2:56:40<16:41:04, 1.42step/s] Training: 15%|█▍ | 14602/100000 [2:56:40<17:12:44, 1.38step/s] Training: 15%|█▍ | 14603/100000 [2:56:41<17:33:15, 1.35step/s] Training: 15%|█▍ | 14604/100000 [2:56:42<17:45:12, 1.34step/s] Training: 15%|█▍ | 14605/100000 [2:56:42<16:47:34, 1.41step/s] Training: 15%|█▍ | 14606/100000 [2:56:43<17:06:35, 1.39step/s] Training: 15%|█▍ | 14607/100000 [2:56:44<17:20:49, 1.37step/s] Training: 15%|█▍ | 14608/100000 [2:56:45<16:35:03, 1.43step/s] Training: 15%|█▍ | 14609/100000 [2:56:45<15:59:27, 1.48step/s] Training: 15%|█▍ | 14610/100000 [2:56:46<16:19:02, 1.45step/s] Training: 15%|█▍ | 14611/100000 [2:56:47<16:45:14, 1.42step/s] Training: 15%|█▍ | 14612/100000 [2:56:47<17:17:47, 1.37step/s] Training: 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1.45step/s] Training: 15%|█▍ | 14875/100000 [2:59:54<15:42:32, 1.51step/s] Training: 15%|█▍ | 14876/100000 [2:59:55<16:35:46, 1.42step/s] Training: 15%|█▍ | 14877/100000 [2:59:56<16:07:01, 1.47step/s] Training: 15%|█▍ | 14878/100000 [2:59:57<16:20:09, 1.45step/s] Training: 15%|█▍ | 14879/100000 [2:59:57<16:55:50, 1.40step/s] Training: 15%|█▍ | 14880/100000 [2:59:58<16:07:27, 1.47step/s] Training: 15%|█▍ | 14881/100000 [2:59:59<15:41:58, 1.51step/s] Training: 15%|█▍ | 14882/100000 [2:59:59<16:19:33, 1.45step/s] Training: 15%|█▍ | 14883/100000 [3:00:00<15:51:20, 1.49step/s] Training: 15%|█▍ | 14884/100000 [3:00:01<16:30:37, 1.43step/s] Training: 15%|█▍ | 14885/100000 [3:00:01<16:05:50, 1.47step/s] Training: 15%|█▍ | 14886/100000 [3:00:02<16:35:33, 1.42step/s] Training: 15%|█▍ | 14887/100000 [3:00:03<17:02:03, 1.39step/s] Training: 15%|█▍ | 14888/100000 [3:00:03<16:20:58, 1.45step/s] Training: 15%|█▍ | 14889/100000 [3:00:04<15:55:32, 1.48step/s] Training: 15%|█▍ | 14890/100000 [3:00:05<16:52:27, 1.40step/s] Training: 15%|█▍ | 14891/100000 [3:00:06<16:17:00, 1.45step/s] Training: 15%|█▍ | 14892/100000 [3:00:06<17:01:06, 1.39step/s] Training: 15%|█▍ | 14893/100000 [3:00:07<16:30:40, 1.43step/s] Training: 15%|█▍ | 14894/100000 [3:00:08<16:55:39, 1.40step/s] Training: 15%|█▍ | 14895/100000 [3:00:09<17:32:02, 1.35step/s] Training: 15%|█▍ | 14896/100000 [3:00:09<16:42:06, 1.42step/s] Training: 15%|█▍ | 14897/100000 [3:00:10<16:09:05, 1.46step/s] Training: 15%|█▍ | 14898/100000 [3:00:11<16:50:41, 1.40step/s] Training: 15%|█▍ | 14899/100000 [3:00:11<16:17:17, 1.45step/s] Training: 15%|█▍ | 14900/100000 [3:00:12<17:09:05, 1.38step/s]INFO 2026-03-12 06:22:28 ot_train.py:435 step:15K smpl:954K ep:3K epch:12.63 loss:0.290 grdn:12.380 lr:1.9e-05 updt_s:0.688 data_s:0.012 Training: 15%|█▍ | 14901/100000 [3:00:13<16:31:34, 1.43step/s] Training: 15%|█▍ | 14902/100000 [3:00:13<17:07:51, 1.38step/s] Training: 15%|█▍ | 14903/100000 [3:00:14<17:32:49, 1.35step/s] Training: 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Training: 15%|█▍ | 14920/100000 [3:00:26<17:41:42, 1.34step/s] Training: 15%|█▍ | 14921/100000 [3:00:27<16:40:27, 1.42step/s] Training: 15%|█▍ | 14922/100000 [3:00:28<16:54:08, 1.40step/s] Training: 15%|█▍ | 14923/100000 [3:00:28<16:07:53, 1.46step/s] Training: 15%|█▍ | 14924/100000 [3:00:29<16:41:05, 1.42step/s] Training: 15%|█▍ | 14925/100000 [3:00:30<17:00:11, 1.39step/s] Training: 15%|█▍ | 14926/100000 [3:00:31<17:27:34, 1.35step/s] Training: 15%|█▍ | 14927/100000 [3:00:31<17:36:28, 1.34step/s] Training: 15%|█▍ | 14928/100000 [3:00:32<16:50:11, 1.40step/s] Training: 15%|█▍ | 14929/100000 [3:00:33<17:31:10, 1.35step/s] Training: 15%|█▍ | 14930/100000 [3:00:33<17:17:08, 1.37step/s] Training: 15%|█▍ | 14931/100000 [3:00:34<16:38:47, 1.42step/s] Training: 15%|█▍ | 14932/100000 [3:00:35<17:02:28, 1.39step/s] Training: 15%|█▍ | 14933/100000 [3:00:36<16:59:33, 1.39step/s] Training: 15%|█▍ | 14934/100000 [3:00:36<16:56:39, 1.39step/s] Training: 15%|█▍ | 14935/100000 [3:00:37<16:54:40, 1.40step/s] Training: 15%|█▍ | 14936/100000 [3:00:38<17:33:18, 1.35step/s] Training: 15%|█▍ | 14937/100000 [3:00:38<16:41:12, 1.42step/s] Training: 15%|█▍ | 14938/100000 [3:00:39<16:45:03, 1.41step/s] Training: 15%|█▍ | 14939/100000 [3:00:40<16:02:30, 1.47step/s] Training: 15%|█▍ | 14940/100000 [3:00:40<16:37:33, 1.42step/s] Training: 15%|█▍ | 14941/100000 [3:00:41<16:35:12, 1.42step/s] Training: 15%|█▍ | 14942/100000 [3:00:42<16:45:02, 1.41step/s] Training: 15%|█▍ | 14943/100000 [3:00:43<16:48:46, 1.41step/s] Training: 15%|█▍ | 14944/100000 [3:00:43<16:04:25, 1.47step/s] Training: 15%|█▍ | 14945/100000 [3:00:44<16:44:33, 1.41step/s] Training: 15%|█▍ | 14946/100000 [3:00:45<17:13:27, 1.37step/s] Training: 15%|█▍ | 14947/100000 [3:00:45<16:36:57, 1.42step/s] Training: 15%|█▍ | 14948/100000 [3:00:46<17:15:19, 1.37step/s] Training: 15%|█▍ | 14949/100000 [3:00:47<17:32:24, 1.35step/s] Training: 15%|█▍ | 14950/100000 [3:00:48<16:41:12, 1.42step/s] Training: 15%|█▍ | 14951/100000 [3:00:48<17:05:09, 1.38step/s] Training: 15%|█▍ | 14952/100000 [3:00:49<16:27:30, 1.44step/s] Training: 15%|█▍ | 14953/100000 [3:00:50<16:59:10, 1.39step/s] Training: 15%|█▍ | 14954/100000 [3:00:51<17:28:07, 1.35step/s] Training: 15%|█▍ | 14955/100000 [3:00:51<16:38:31, 1.42step/s] Training: 15%|█▍ | 14956/100000 [3:00:52<16:59:29, 1.39step/s] Training: 15%|█▍ | 14957/100000 [3:00:53<17:19:54, 1.36step/s] Training: 15%|█▍ | 14958/100000 [3:00:53<16:36:36, 1.42step/s] Training: 15%|█▍ | 14959/100000 [3:00:54<17:09:11, 1.38step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=6925 Training: 15%|█▍ | 14960/100000 [3:00:55<16:22:17, 1.44step/s] Training: 15%|█▍ | 14961/100000 [3:00:55<16:24:10, 1.44step/s] Training: 15%|█▍ | 14962/100000 [3:00:56<17:18:38, 1.36step/s] Training: 15%|█▍ | 14963/100000 [3:00:57<16:38:13, 1.42step/s] Training: 15%|█▍ | 14964/100000 [3:00:58<17:19:27, 1.36step/s] Training: 15%|█▍ | 14965/100000 [3:00:58<17:46:51, 1.33step/s] Training: 15%|█▍ | 14966/100000 [3:00:59<16:47:28, 1.41step/s] Training: 15%|█▍ | 14967/100000 [3:01:00<17:00:06, 1.39step/s] Training: 15%|█▍ | 14968/100000 [3:01:00<16:12:33, 1.46step/s] Training: 15%|█▍ | 14969/100000 [3:01:01<16:35:12, 1.42step/s] Training: 15%|█▍ | 14970/100000 [3:01:02<16:47:19, 1.41step/s] Training: 15%|█▍ | 14971/100000 [3:01:03<16:15:16, 1.45step/s] Training: 15%|█▍ | 14972/100000 [3:01:03<17:03:12, 1.39step/s] Training: 15%|█▍ | 14973/100000 [3:01:04<17:01:18, 1.39step/s] Training: 15%|█▍ | 14974/100000 [3:01:05<16:20:55, 1.44step/s] Training: 15%|█▍ | 14975/100000 [3:01:05<16:30:59, 1.43step/s] Training: 15%|█▍ | 14976/100000 [3:01:06<16:00:08, 1.48step/s] Training: 15%|█▍ | 14977/100000 [3:01:07<15:27:44, 1.53step/s] Training: 15%|█▍ | 14978/100000 [3:01:07<16:45:13, 1.41step/s] Training: 15%|█▍ | 14979/100000 [3:01:08<15:58:48, 1.48step/s] Training: 15%|█▍ | 14980/100000 [3:01:09<16:33:39, 1.43step/s] Training: 15%|█▍ | 14981/100000 [3:01:10<16:56:56, 1.39step/s] Training: 15%|█▍ | 14982/100000 [3:01:10<16:23:47, 1.44step/s] Training: 15%|█▍ | 14983/100000 [3:01:11<17:02:50, 1.39step/s] Training: 15%|█▍ | 14984/100000 [3:01:12<16:23:58, 1.44step/s] Training: 15%|█▍ | 14985/100000 [3:01:12<17:03:02, 1.39step/s] Training: 15%|█▍ | 14986/100000 [3:01:13<17:24:44, 1.36step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=61259 Training: 15%|█▍ | 14987/100000 [3:01:14<16:41:10, 1.42step/s] Training: 15%|█▍ | 14988/100000 [3:01:15<17:08:23, 1.38step/s] Training: 15%|█▍ | 14989/100000 [3:01:15<17:24:26, 1.36step/s] Training: 15%|█▍ | 14990/100000 [3:01:16<16:28:20, 1.43step/s] Training: 15%|█▍ | 14991/100000 [3:01:17<16:43:22, 1.41step/s] Training: 15%|█▍ | 14992/100000 [3:01:17<15:59:32, 1.48step/s] Training: 15%|█▍ | 14993/100000 [3:01:18<15:35:41, 1.51step/s] Training: 15%|█▍ | 14994/100000 [3:01:19<16:32:42, 1.43step/s] Training: 15%|█▍ | 14995/100000 [3:01:19<15:59:47, 1.48step/s] Training: 15%|█▍ | 14996/100000 [3:01:20<15:32:18, 1.52step/s] Training: 15%|█▍ | 14997/100000 [3:01:21<17:21:33, 1.36step/s] Training: 15%|█▍ | 14998/100000 [3:01:22<16:34:20, 1.42step/s] Training: 15%|█▍ | 14999/100000 [3:01:22<16:59:43, 1.39step/s] Training: 15%|█▌ | 15000/100000 [3:01:23<16:19:14, 1.45step/s]INFO 2026-03-12 06:23:39 ot_train.py:435 step:15K smpl:960K ep:3K epch:12.71 loss:0.311 grdn:11.707 lr:1.9e-05 updt_s:0.695 data_s:0.012 INFO 2026-03-12 06:23:39 ot_train.py:455 Checkpoint policy after step 15000 [Avatar] Pushing checkpoint (step 15000) to avatarrobotics/pi0fast-orange-hook-right-b64-20260312-0320... 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3.67GB / 5.85GB, 170MB/s New Data Upload : 96%|█████████▌| 3.66GB / 3.82GB, 170MB/s  ...12-0320/model.safetensors: 63%|██████▎ | 3.69GB / 5.85GB  Processing Files (0 / 1) : 63%|██████▎ | 3.69GB / 5.85GB, 169MB/s New Data Upload : 96%|█████████▋| 3.68GB / 3.82GB, 169MB/s  ...12-0320/model.safetensors: 64%|██████▎ | 3.72GB / 5.85GB  Processing Files (0 / 1) : 64%|██████▎ | 3.72GB / 5.85GB, 169MB/s New Data Upload : 96%|█████████▌| 3.72GB / 3.89GB, 169MB/s  ...12-0320/model.safetensors: 64%|██████▍ | 3.76GB / 5.85GB  Processing Files (0 / 1) : 64%|██████▍ | 3.76GB / 5.85GB, 169MB/s New Data Upload : 97%|█████████▋| 3.76GB / 3.89GB, 169MB/s  ...12-0320/model.safetensors: 65%|██████▍ | 3.80GB / 5.85GB  Processing Files (0 / 1) : 65%|██████▍ | 3.80GB / 5.85GB, 169MB/s New Data Upload : 96%|█████████▌| 3.79GB / 3.96GB, 169MB/s  ...12-0320/model.safetensors: 66%|██████▌ | 3.84GB / 5.85GB  Processing Files (0 / 1) : 66%|██████▌ | 3.84GB / 5.85GB, 170MB/s New Data Upload : 97%|█████████▋| 3.83GB / 3.96GB, 170MB/s  ...12-0320/model.safetensors: 66%|██████▋ | 3.89GB / 5.85GB  Processing Files (0 / 1) : 66%|██████▋ | 3.89GB / 5.85GB, 171MB/s New Data Upload : 96%|█████████▋| 3.88GB / 4.02GB, 171MB/s  ...12-0320/model.safetensors: 67%|██████▋ | 3.93GB / 5.85GB  Processing Files (0 / 1) : 67%|██████▋ | 3.93GB / 5.85GB, 172MB/s New Data Upload : 98%|█████████▊| 3.93GB / 4.02GB, 172MB/s  ...12-0320/model.safetensors: 68%|██████▊ | 3.96GB / 5.85GB  Processing Files (0 / 1) : 68%|██████▊ | 3.96GB / 5.85GB, 171MB/s New Data Upload : 98%|█████████▊| 3.95GB / 4.02GB, 171MB/s  ...12-0320/model.safetensors: 68%|██████▊ | 3.99GB / 5.85GB  Processing Files (0 / 1) : 68%|██████▊ | 3.99GB / 5.85GB, 170MB/s New Data Upload : 97%|█████████▋| 3.98GB / 4.09GB, 170MB/s  ...12-0320/model.safetensors: 69%|██████▊ | 4.02GB / 5.85GB  Processing Files (0 / 1) : 69%|██████▊ | 4.02GB / 5.85GB, 171MB/s New Data Upload : 98%|█████████▊| 4.01GB / 4.09GB, 171MB/s  ...12-0320/model.safetensors: 69%|██████▉ | 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4.18GB / 5.85GB, 166MB/s New Data Upload : 97%|█████████▋| 4.17GB / 4.29GB, 166MB/s  ...12-0320/model.safetensors: 72%|███████▏ | 4.21GB / 5.85GB  Processing Files (0 / 1) : 72%|███████▏ | 4.21GB / 5.85GB, 166MB/s New Data Upload : 97%|█████████▋| 4.21GB / 4.36GB, 166MB/s  ...12-0320/model.safetensors: 73%|███████▎ | 4.25GB / 5.85GB  Processing Files (0 / 1) : 73%|███████▎ | 4.25GB / 5.85GB, 165MB/s New Data Upload : 97%|█████████▋| 4.24GB / 4.36GB, 165MB/s  ...12-0320/model.safetensors: 73%|███████▎ | 4.29GB / 5.85GB  Processing Files (0 / 1) : 73%|███████▎ | 4.29GB / 5.85GB, 167MB/s New Data Upload : 97%|█████████▋| 4.28GB / 4.43GB, 167MB/s  ...12-0320/model.safetensors: 74%|███████▍ | 4.32GB / 5.85GB  Processing Files (0 / 1) : 74%|███████▍ | 4.32GB / 5.85GB, 166MB/s New Data Upload : 98%|█████████▊| 4.32GB / 4.43GB, 166MB/s  ...12-0320/model.safetensors: 74%|███████▍ | 4.35GB / 5.85GB  Processing Files (0 / 1) : 74%|███████▍ | 4.35GB / 5.85GB, 166MB/s New Data Upload : 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5.36GB, 169MB/s  ...12-0320/model.safetensors: 91%|█████████ | 5.31GB / 5.85GB  Processing Files (0 / 1) : 91%|█████████ | 5.31GB / 5.85GB, 170MB/s New Data Upload : 98%|█████████▊| 5.31GB / 5.43GB, 170MB/s  ...12-0320/model.safetensors: 91%|█████████▏| 5.34GB / 5.85GB  Processing Files (0 / 1) : 91%|█████████▏| 5.34GB / 5.85GB, 172MB/s New Data Upload : 98%|█████████▊| 5.33GB / 5.43GB, 172MB/s  ...12-0320/model.safetensors: 92%|█████████▏| 5.37GB / 5.85GB  Processing Files (0 / 1) : 92%|█████████▏| 5.37GB / 5.85GB, 171MB/s New Data Upload : 98%|█████████▊| 5.37GB / 5.50GB, 171MB/s  ...12-0320/model.safetensors: 92%|█████████▏| 5.40GB / 5.85GB  Processing Files (0 / 1) : 92%|█████████▏| 5.40GB / 5.85GB, 170MB/s New Data Upload : 98%|█████████▊| 5.39GB / 5.50GB, 170MB/s  ...12-0320/model.safetensors: 93%|█████████▎| 5.41GB / 5.85GB  Processing Files (0 / 1) : 93%|█████████▎| 5.41GB / 5.85GB, 169MB/s New Data Upload : 97%|█████████▋| 5.41GB / 5.57GB, 169MB/s  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[Avatar] Pushed checkpoint (step 15000) OK [Avatar] Tagged as 'step-15000' Training: 15%|█▌ | 15001/100000 [3:02:43<575:40:30, 24.38s/step] Training: 15%|█▌ | 15002/100000 [3:02:43<408:10:46, 17.29s/step] Training: 15%|█▌ | 15003/100000 [3:02:44<290:06:17, 12.29s/step] Training: 15%|█▌ | 15004/100000 [3:02:45<208:46:36, 8.84s/step] Training: 15%|█▌ | 15005/100000 [3:02:45<151:13:09, 6.40s/step] Training: 15%|█▌ | 15006/100000 [3:02:46<110:22:17, 4.67s/step] Training: 15%|█▌ | 15007/100000 [3:02:47<82:26:02, 3.49s/step] Training: 15%|█▌ | 15008/100000 [3:02:47<62:24:28, 2.64s/step] Training: 15%|█▌ | 15009/100000 [3:02:48<48:10:14, 2.04s/step] Training: 15%|█▌ | 15010/100000 [3:02:49<40:17:51, 1.71s/step] Training: 15%|█▌ | 15011/100000 [3:02:50<32:29:17, 1.38s/step] Training: 15%|█▌ | 15012/100000 [3:02:50<28:17:45, 1.20s/step] Training: 15%|█▌ | 15013/100000 [3:02:51<25:12:17, 1.07s/step] Training: 15%|█▌ | 15014/100000 [3:02:52<22:08:51, 1.07step/s] Training: 15%|█▌ | 15015/100000 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[3:03:49<16:47:19, 1.40step/s] Training: 15%|█▌ | 15095/100000 [3:03:50<17:22:38, 1.36step/s] Training: 15%|█▌ | 15096/100000 [3:03:51<16:40:59, 1.41step/s] Training: 15%|█▌ | 15097/100000 [3:03:51<16:01:56, 1.47step/s] Training: 15%|█▌ | 15098/100000 [3:03:52<16:43:08, 1.41step/s] Training: 15%|█▌ | 15099/100000 [3:03:53<16:16:48, 1.45step/s] Training: 15%|█▌ | 15100/100000 [3:03:53<17:45:18, 1.33step/s]INFO 2026-03-12 06:26:09 ot_train.py:435 step:15K smpl:966K ep:3K epch:12.80 loss:0.313 grdn:11.915 lr:1.9e-05 updt_s:0.701 data_s:0.013 Training: 15%|█▌ | 15101/100000 [3:03:54<17:23:31, 1.36step/s] Training: 15%|█▌ | 15102/100000 [3:03:55<16:45:15, 1.41step/s] Training: 15%|█▌ | 15103/100000 [3:03:56<17:16:46, 1.36step/s] Training: 15%|█▌ | 15104/100000 [3:03:56<16:33:39, 1.42step/s] Training: 15%|█▌ | 15105/100000 [3:03:57<16:01:35, 1.47step/s] Training: 15%|█▌ | 15106/100000 [3:03:58<16:59:51, 1.39step/s] Training: 15%|█▌ | 15107/100000 [3:03:58<16:20:20, 1.44step/s] Training: 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| 15121/100000 [3:04:08<15:48:23, 1.49step/s] Training: 15%|█▌ | 15122/100000 [3:04:09<16:34:08, 1.42step/s] Training: 15%|█▌ | 15123/100000 [3:04:10<16:03:21, 1.47step/s] Training: 15%|█▌ | 15124/100000 [3:04:10<16:53:18, 1.40step/s] Training: 15%|█▌ | 15125/100000 [3:04:11<17:54:17, 1.32step/s] Training: 15%|█▌ | 15126/100000 [3:04:12<17:00:13, 1.39step/s] Training: 15%|█▌ | 15127/100000 [3:04:13<17:31:19, 1.35step/s] Training: 15%|█▌ | 15128/100000 [3:04:13<16:48:15, 1.40step/s] Training: 15%|█▌ | 15129/100000 [3:04:14<16:09:46, 1.46step/s] Training: 15%|█▌ | 15130/100000 [3:04:15<16:47:30, 1.40step/s] Training: 15%|█▌ | 15131/100000 [3:04:15<16:05:48, 1.46step/s] Training: 15%|█▌ | 15132/100000 [3:04:16<16:33:07, 1.42step/s] Training: 15%|█▌ | 15133/100000 [3:04:17<17:13:25, 1.37step/s] Training: 15%|█▌ | 15134/100000 [3:04:18<16:28:14, 1.43step/s] Training: 15%|█▌ | 15135/100000 [3:04:18<16:58:38, 1.39step/s] Training: 15%|█▌ | 15136/100000 [3:04:19<16:19:56, 1.44step/s] Training: 15%|█▌ | 15137/100000 [3:04:20<15:52:25, 1.49step/s] Training: 15%|█▌ | 15138/100000 [3:04:20<16:48:24, 1.40step/s] Training: 15%|█▌ | 15139/100000 [3:04:21<16:05:04, 1.47step/s] Training: 15%|█▌ | 15140/100000 [3:04:22<16:54:58, 1.39step/s] Training: 15%|█▌ | 15141/100000 [3:04:23<17:30:26, 1.35step/s] Training: 15%|█▌ | 15142/100000 [3:04:23<16:34:29, 1.42step/s] Training: 15%|█▌ | 15143/100000 [3:04:24<17:07:01, 1.38step/s] Training: 15%|█▌ | 15144/100000 [3:04:25<16:16:56, 1.45step/s] Training: 15%|█▌ | 15145/100000 [3:04:25<15:50:08, 1.49step/s] Training: 15%|█▌ | 15146/100000 [3:04:26<16:44:08, 1.41step/s] Training: 15%|█▌ | 15147/100000 [3:04:27<16:13:33, 1.45step/s] Training: 15%|█▌ | 15148/100000 [3:04:27<16:24:32, 1.44step/s] Training: 15%|█▌ | 15149/100000 [3:04:28<17:06:45, 1.38step/s] Training: 15%|█▌ | 15150/100000 [3:04:29<16:31:03, 1.43step/s] Training: 15%|█▌ | 15151/100000 [3:04:30<17:00:02, 1.39step/s] Training: 15%|█▌ | 15152/100000 [3:04:30<16:20:14, 1.44step/s] Training: 15%|█▌ | 15153/100000 [3:04:31<15:49:33, 1.49step/s] Training: 15%|█▌ | 15154/100000 [3:04:32<16:32:43, 1.42step/s] Training: 15%|█▌ | 15155/100000 [3:04:32<16:08:56, 1.46step/s] Training: 15%|█▌ | 15156/100000 [3:04:33<16:50:38, 1.40step/s] Training: 15%|█▌ | 15157/100000 [3:04:34<17:24:58, 1.35step/s] Training: 15%|█▌ | 15158/100000 [3:04:35<18:29:15, 1.27step/s] Training: 15%|█▌ | 15159/100000 [3:04:35<18:02:30, 1.31step/s] Training: 15%|█▌ | 15160/100000 [3:04:36<16:56:59, 1.39step/s] Training: 15%|█▌ | 15161/100000 [3:04:37<16:10:33, 1.46step/s] Training: 15%|█▌ | 15162/100000 [3:04:37<16:45:38, 1.41step/s] Training: 15%|█▌ | 15163/100000 [3:04:38<16:07:37, 1.46step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=56197 Training: 15%|█▌ | 15164/100000 [3:04:39<16:52:55, 1.40step/s] Training: 15%|█▌ | 15165/100000 [3:04:40<17:12:31, 1.37step/s] Training: 15%|█▌ | 15166/100000 [3:04:41<18:19:54, 1.29step/s] Training: 15%|█▌ | 15167/100000 [3:04:41<18:10:16, 1.30step/s] Training: 15%|█▌ | 15168/100000 [3:04:42<17:09:43, 1.37step/s] Training: 15%|█▌ | 15169/100000 [3:04:43<16:19:45, 1.44step/s] Training: 15%|█▌ | 15170/100000 [3:04:43<17:15:18, 1.37step/s] Training: 15%|█▌ | 15171/100000 [3:04:44<16:23:12, 1.44step/s] Training: 15%|█▌ | 15172/100000 [3:04:45<16:28:35, 1.43step/s] Training: 15%|█▌ | 15173/100000 [3:04:45<17:01:19, 1.38step/s] Training: 15%|█▌ | 15174/100000 [3:04:46<18:03:03, 1.31step/s] Training: 15%|█▌ | 15175/100000 [3:04:47<17:58:31, 1.31step/s] Training: 15%|█▌ | 15176/100000 [3:04:48<17:01:47, 1.38step/s] Training: 15%|█▌ | 15177/100000 [3:04:48<16:22:44, 1.44step/s] Training: 15%|█▌ | 15178/100000 [3:04:49<17:03:51, 1.38step/s] Training: 15%|█▌ | 15179/100000 [3:04:50<16:19:22, 1.44step/s] Training: 15%|█▌ | 15180/100000 [3:04:50<16:32:37, 1.42step/s] Training: 15%|█▌ | 15181/100000 [3:04:51<17:01:54, 1.38step/s] Training: 15%|█▌ | 15182/100000 [3:04:52<17:32:43, 1.34step/s] Training: 15%|█▌ | 15183/100000 [3:04:53<17:42:15, 1.33step/s] Training: 15%|█▌ | 15184/100000 [3:04:53<17:01:21, 1.38step/s] Training: 15%|█▌ | 15185/100000 [3:04:54<16:27:48, 1.43step/s] Training: 15%|█▌ | 15186/100000 [3:04:55<17:15:19, 1.37step/s] Training: 15%|█▌ | 15187/100000 [3:04:56<16:30:47, 1.43step/s] Training: 15%|█▌ | 15188/100000 [3:04:56<17:06:30, 1.38step/s] Training: 15%|█▌ | 15189/100000 [3:04:57<17:22:38, 1.36step/s] Training: 15%|█▌ | 15190/100000 [3:04:58<16:37:49, 1.42step/s] Training: 15%|█▌ | 15191/100000 [3:04:59<17:43:41, 1.33step/s] Training: 15%|█▌ | 15192/100000 [3:04:59<16:50:45, 1.40step/s] Training: 15%|█▌ | 15193/100000 [3:05:00<16:16:48, 1.45step/s] Training: 15%|█▌ | 15194/100000 [3:05:01<16:55:58, 1.39step/s] Training: 15%|█▌ | 15195/100000 [3:05:01<16:10:05, 1.46step/s] Training: 15%|█▌ | 15196/100000 [3:05:02<16:36:19, 1.42step/s] Training: 15%|█▌ | 15197/100000 [3:05:03<16:37:55, 1.42step/s] Training: 15%|█▌ | 15198/100000 [3:05:03<16:05:51, 1.46step/s] Training: 15%|█▌ | 15199/100000 [3:05:04<17:19:40, 1.36step/s] Training: 15%|█▌ | 15200/100000 [3:05:05<16:33:32, 1.42step/s]INFO 2026-03-12 06:27:21 ot_train.py:435 step:15K smpl:973K ep:3K epch:12.88 loss:0.302 grdn:11.815 lr:1.9e-05 updt_s:0.698 data_s:0.012 Training: 15%|█▌ | 15201/100000 [3:05:05<16:01:42, 1.47step/s] Training: 15%|█▌ | 15202/100000 [3:05:06<16:47:15, 1.40step/s] Training: 15%|█▌ | 15203/100000 [3:05:07<16:04:30, 1.47step/s] Training: 15%|█▌ | 15204/100000 [3:05:08<16:15:50, 1.45step/s] Training: 15%|█▌ | 15205/100000 [3:05:08<16:32:12, 1.42step/s] Training: 15%|█▌ | 15206/100000 [3:05:09<16:08:35, 1.46step/s] Training: 15%|█▌ | 15207/100000 [3:05:10<17:04:54, 1.38step/s] Training: 15%|█▌ | 15208/100000 [3:05:10<16:19:39, 1.44step/s] Training: 15%|█▌ | 15209/100000 [3:05:11<15:46:02, 1.49step/s] Training: 15%|█▌ | 15210/100000 [3:05:12<16:45:41, 1.41step/s] Training: 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Training: 15%|█▌ | 15227/100000 [3:05:24<16:14:37, 1.45step/s] Training: 15%|█▌ | 15228/100000 [3:05:24<16:45:57, 1.40step/s] Training: 15%|█▌ | 15229/100000 [3:05:25<16:49:32, 1.40step/s] Training: 15%|█▌ | 15230/100000 [3:05:26<16:16:02, 1.45step/s] Training: 15%|█▌ | 15231/100000 [3:05:27<16:45:21, 1.41step/s] Training: 15%|█▌ | 15232/100000 [3:05:27<17:58:12, 1.31step/s] Training: 15%|█▌ | 15233/100000 [3:05:28<16:58:21, 1.39step/s] Training: 15%|█▌ | 15234/100000 [3:05:29<17:29:08, 1.35step/s] Training: 15%|█▌ | 15235/100000 [3:05:29<16:34:21, 1.42step/s] Training: 15%|█▌ | 15236/100000 [3:05:30<17:01:36, 1.38step/s] Training: 15%|█▌ | 15237/100000 [3:05:31<17:21:22, 1.36step/s] Training: 15%|█▌ | 15238/100000 [3:05:32<16:28:29, 1.43step/s] Training: 15%|█▌ | 15239/100000 [3:05:32<16:56:53, 1.39step/s] Training: 15%|█▌ | 15240/100000 [3:05:33<17:53:05, 1.32step/s] Training: 15%|█▌ | 15241/100000 [3:05:34<17:02:57, 1.38step/s] Training: 15%|█▌ | 15242/100000 [3:05:35<17:44:18, 1.33step/s] Training: 15%|█▌ | 15243/100000 [3:05:35<16:51:32, 1.40step/s] Training: 15%|█▌ | 15244/100000 [3:05:36<17:07:43, 1.37step/s] Training: 15%|█▌ | 15245/100000 [3:05:37<17:15:03, 1.36step/s] Training: 15%|█▌ | 15246/100000 [3:05:37<16:22:14, 1.44step/s] Training: 15%|█▌ | 15247/100000 [3:05:38<16:46:26, 1.40step/s] Training: 15%|█▌ | 15248/100000 [3:05:39<17:26:25, 1.35step/s] Training: 15%|█▌ | 15249/100000 [3:05:40<16:27:25, 1.43step/s] Training: 15%|█▌ | 15250/100000 [3:05:40<17:22:40, 1.35step/s] Training: 15%|█▌ | 15251/100000 [3:05:41<16:47:16, 1.40step/s] Training: 15%|█▌ | 15252/100000 [3:05:42<16:18:14, 1.44step/s] Training: 15%|█▌ | 15253/100000 [3:05:43<18:04:06, 1.30step/s] Training: 15%|█▌ | 15254/100000 [3:05:43<16:56:31, 1.39step/s] Training: 15%|█▌ | 15255/100000 [3:05:44<16:54:24, 1.39step/s] Training: 15%|█▌ | 15256/100000 [3:05:45<16:17:53, 1.44step/s] Training: 15%|█▌ | 15257/100000 [3:05:45<17:29:01, 1.35step/s] Training: 15%|█▌ | 15258/100000 [3:05:46<17:34:32, 1.34step/s] Training: 15%|█▌ | 15259/100000 [3:05:47<16:47:41, 1.40step/s] Training: 15%|█▌ | 15260/100000 [3:05:48<17:08:56, 1.37step/s] Training: 15%|█▌ | 15261/100000 [3:05:48<17:10:21, 1.37step/s] Training: 15%|█▌ | 15262/100000 [3:05:49<16:26:56, 1.43step/s] Training: 15%|█▌ | 15263/100000 [3:05:50<16:51:48, 1.40step/s] Training: 15%|█▌ | 15264/100000 [3:05:50<16:06:02, 1.46step/s] Training: 15%|█▌ | 15265/100000 [3:05:51<17:20:53, 1.36step/s] Training: 15%|█▌ | 15266/100000 [3:05:52<17:44:46, 1.33step/s] Training: 15%|█▌ | 15267/100000 [3:05:53<16:51:25, 1.40step/s] Training: 15%|█▌ | 15268/100000 [3:05:53<17:10:27, 1.37step/s] Training: 15%|█▌ | 15269/100000 [3:05:54<17:31:42, 1.34step/s] Training: 15%|█▌ | 15270/100000 [3:05:55<16:33:02, 1.42step/s] Training: 15%|█▌ | 15271/100000 [3:05:56<16:53:10, 1.39step/s] Training: 15%|█▌ | 15272/100000 [3:05:56<16:07:24, 1.46step/s] Training: 15%|█▌ | 15273/100000 [3:05:57<16:30:40, 1.43step/s] Training: 15%|█▌ | 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Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 15%|█▌ | 15341/100000 [3:06:50<49:55:56, 2.12s/step] Training: 15%|█▌ | 15342/100000 [3:06:51<39:35:08, 1.68s/step] Training: 15%|█▌ | 15343/100000 [3:06:52<33:37:09, 1.43s/step] Training: 15%|█▌ | 15344/100000 [3:06:52<27:59:57, 1.19s/step] Training: 15%|█▌ | 15345/100000 [3:06:53<24:06:10, 1.02s/step] Training: 15%|█▌ | 15346/100000 [3:06:54<22:47:50, 1.03step/s] Training: 15%|█▌ | 15347/100000 [3:06:55<21:58:07, 1.07step/s] Training: 15%|█▌ | 15348/100000 [3:06:56<21:23:45, 1.10step/s] Training: 15%|█▌ | 15349/100000 [3:06:56<20:21:54, 1.15step/s] Training: 15%|█▌ | 15350/100000 [3:06:57<18:42:47, 1.26step/s] Training: 15%|█▌ | 15351/100000 [3:06:58<18:31:08, 1.27step/s] Training: 15%|█▌ | 15352/100000 [3:06:58<17:25:04, 1.35step/s] Training: 15%|█▌ | 15353/100000 [3:06:59<16:37:42, 1.41step/s] 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[3:07:22<16:02:11, 1.47step/s] Training: 15%|█▌ | 15386/100000 [3:07:23<17:01:19, 1.38step/s] Training: 15%|█▌ | 15387/100000 [3:07:24<16:20:11, 1.44step/s] Training: 15%|█▌ | 15388/100000 [3:07:25<17:49:05, 1.32step/s] Training: 15%|█▌ | 15389/100000 [3:07:25<16:52:38, 1.39step/s] Training: 15%|█▌ | 15390/100000 [3:07:26<17:12:57, 1.37step/s] Training: 15%|█▌ | 15391/100000 [3:07:27<17:27:36, 1.35step/s] Training: 15%|█▌ | 15392/100000 [3:07:27<16:40:55, 1.41step/s] Training: 15%|█▌ | 15393/100000 [3:07:28<16:09:48, 1.45step/s] Training: 15%|█▌ | 15394/100000 [3:07:29<17:18:34, 1.36step/s] Training: 15%|█▌ | 15395/100000 [3:07:29<16:35:35, 1.42step/s] Training: 15%|█▌ | 15396/100000 [3:07:30<17:29:14, 1.34step/s] Training: 15%|█▌ | 15397/100000 [3:07:31<17:51:28, 1.32step/s] Training: 15%|█▌ | 15398/100000 [3:07:32<16:49:38, 1.40step/s] Training: 15%|█▌ | 15399/100000 [3:07:33<17:11:48, 1.37step/s] Training: 15%|█▌ | 15400/100000 [3:07:33<16:20:54, 1.44step/s]INFO 2026-03-12 06:29:49 ot_train.py:435 step:15K smpl:986K ep:3K epch:13.05 loss:0.273 grdn:11.615 lr:1.9e-05 updt_s:0.702 data_s:0.062 Training: 15%|█▌ | 15401/100000 [3:07:34<15:54:49, 1.48step/s] Training: 15%|█▌ | 15402/100000 [3:07:35<16:55:09, 1.39step/s] Training: 15%|█▌ | 15403/100000 [3:07:35<16:15:50, 1.44step/s] Training: 15%|█▌ | 15404/100000 [3:07:36<16:46:00, 1.40step/s] Training: 15%|█▌ | 15405/100000 [3:07:37<16:35:51, 1.42step/s] Training: 15%|█▌ | 15406/100000 [3:07:37<16:06:18, 1.46step/s] Training: 15%|█▌ | 15407/100000 [3:07:38<16:38:27, 1.41step/s] Training: 15%|█▌ | 15408/100000 [3:07:39<16:04:38, 1.46step/s] Training: 15%|█▌ | 15409/100000 [3:07:39<15:44:49, 1.49step/s] Training: 15%|█▌ | 15410/100000 [3:07:40<16:34:05, 1.42step/s] Training: 15%|█▌ | 15411/100000 [3:07:41<15:56:11, 1.47step/s] Training: 15%|█▌ | 15412/100000 [3:07:42<16:43:20, 1.41step/s] Training: 15%|█▌ | 15413/100000 [3:07:42<17:53:11, 1.31step/s] Training: 15%|█▌ | 15414/100000 [3:07:43<17:09:34, 1.37step/s] 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1.37step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=55486 Training: 15%|█▌ | 15494/100000 [3:08:40<17:39:43, 1.33step/s] Training: 15%|█▌ | 15495/100000 [3:08:41<17:33:23, 1.34step/s] Training: 15%|█▌ | 15496/100000 [3:08:41<17:19:39, 1.35step/s] Training: 15%|█▌ | 15497/100000 [3:08:42<16:33:23, 1.42step/s] Training: 15%|█▌ | 15498/100000 [3:08:43<17:22:33, 1.35step/s] Training: 15%|█▌ | 15499/100000 [3:08:43<16:31:20, 1.42step/s] Training: 16%|█▌ | 15500/100000 [3:08:44<16:46:36, 1.40step/s]INFO 2026-03-12 06:31:00 ot_train.py:435 step:16K smpl:992K ep:3K epch:13.14 loss:0.293 grdn:11.153 lr:1.9e-05 updt_s:0.696 data_s:0.012 Training: 16%|█▌ | 15501/100000 [3:08:45<17:10:34, 1.37step/s] Training: 16%|█▌ | 15502/100000 [3:08:46<16:28:56, 1.42step/s] Training: 16%|█▌ | 15503/100000 [3:08:46<17:17:15, 1.36step/s] Training: 16%|█▌ | 15504/100000 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[3:10:28<16:53:32, 1.39step/s] Training: 16%|█▌ | 15645/100000 [3:10:29<17:33:43, 1.33step/s] Training: 16%|█▌ | 15646/100000 [3:10:30<16:36:12, 1.41step/s] Training: 16%|█▌ | 15647/100000 [3:10:30<16:39:01, 1.41step/s] Training: 16%|█▌ | 15648/100000 [3:10:31<16:10:03, 1.45step/s] Training: 16%|█▌ | 15649/100000 [3:10:32<16:28:10, 1.42step/s] Training: 16%|█▌ | 15650/100000 [3:10:33<17:27:54, 1.34step/s] Training: 16%|█▌ | 15651/100000 [3:10:33<16:43:06, 1.40step/s] Training: 16%|█▌ | 15652/100000 [3:10:34<17:19:29, 1.35step/s] Training: 16%|█▌ | 15653/100000 [3:10:35<17:43:50, 1.32step/s] Training: 16%|█▌ | 15654/100000 [3:10:36<16:54:56, 1.39step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=48929 Training: 16%|█▌ | 15655/100000 [3:10:36<17:17:19, 1.36step/s] Training: 16%|█▌ | 15656/100000 [3:10:37<16:25:06, 1.43step/s] Training: 16%|█▌ | 15657/100000 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1.33step/s] Training: 16%|█▌ | 15782/100000 [3:12:08<18:04:23, 1.29step/s] Training: 16%|█▌ | 15783/100000 [3:12:09<16:55:31, 1.38step/s] Training: 16%|█▌ | 15784/100000 [3:12:10<17:03:11, 1.37step/s] Training: 16%|█▌ | 15785/100000 [3:12:10<17:10:48, 1.36step/s] Training: 16%|█▌ | 15786/100000 [3:12:11<17:35:30, 1.33step/s] Training: 16%|█▌ | 15787/100000 [3:12:12<16:39:27, 1.40step/s] Training: 16%|█▌ | 15788/100000 [3:12:12<16:44:16, 1.40step/s] Training: 16%|█▌ | 15789/100000 [3:12:13<16:42:46, 1.40step/s] Training: 16%|█▌ | 15790/100000 [3:12:14<17:44:18, 1.32step/s] Training: 16%|█▌ | 15791/100000 [3:12:15<16:46:22, 1.39step/s] Training: 16%|█▌ | 15792/100000 [3:12:15<16:39:25, 1.40step/s] Training: 16%|█▌ | 15793/100000 [3:12:16<16:11:06, 1.45step/s] Training: 16%|█▌ | 15794/100000 [3:12:17<16:35:05, 1.41step/s] Training: 16%|█▌ | 15795/100000 [3:12:17<16:01:48, 1.46step/s] Training: 16%|█▌ | 15796/100000 [3:12:18<16:46:19, 1.39step/s] Training: 16%|█▌ | 15797/100000 [3:12:19<17:08:53, 1.36step/s] Training: 16%|█▌ | 15798/100000 [3:12:20<18:06:07, 1.29step/s] Training: 16%|█▌ | 15799/100000 [3:12:20<17:04:24, 1.37step/s] Training: 16%|█▌ | 15800/100000 [3:12:21<17:08:26, 1.36step/s]INFO 2026-03-12 06:34:37 ot_train.py:435 step:16K smpl:1M ep:3K epch:13.39 loss:0.288 grdn:11.222 lr:1.9e-05 updt_s:0.705 data_s:0.012 Training: 16%|█▌ | 15801/100000 [3:12:22<16:25:55, 1.42step/s] Training: 16%|█▌ | 15802/100000 [3:12:23<17:12:48, 1.36step/s] Training: 16%|█▌ | 15803/100000 [3:12:23<16:29:23, 1.42step/s] Training: 16%|█▌ | 15804/100000 [3:12:24<16:44:59, 1.40step/s] Training: 16%|█▌ | 15805/100000 [3:12:25<16:57:01, 1.38step/s] Training: 16%|█▌ | 15806/100000 [3:12:26<17:29:28, 1.34step/s] Training: 16%|█▌ | 15807/100000 [3:12:26<16:39:29, 1.40step/s] Training: 16%|█▌ | 15808/100000 [3:12:27<17:02:18, 1.37step/s] Training: 16%|█▌ | 15809/100000 [3:12:28<16:14:01, 1.44step/s] Training: 16%|█▌ | 15810/100000 [3:12:28<17:03:38, 1.37step/s] Training: 16%|█▌ | 15811/100000 [3:12:29<16:17:28, 1.44step/s] Training: 16%|█▌ | 15812/100000 [3:12:30<16:41:58, 1.40step/s] Training: 16%|█▌ | 15813/100000 [3:12:30<16:57:54, 1.38step/s] Training: 16%|█▌ | 15814/100000 [3:12:31<17:49:58, 1.31step/s] Training: 16%|█▌ | 15815/100000 [3:12:32<16:51:50, 1.39step/s] Training: 16%|█▌ | 15816/100000 [3:12:33<17:02:09, 1.37step/s] Training: 16%|█▌ | 15817/100000 [3:12:33<16:29:49, 1.42step/s] Training: 16%|█▌ | 15818/100000 [3:12:34<17:07:02, 1.37step/s] Training: 16%|█▌ | 15819/100000 [3:12:35<16:25:45, 1.42step/s] Training: 16%|█▌ | 15820/100000 [3:12:35<16:37:47, 1.41step/s] Training: 16%|█▌ | 15821/100000 [3:12:36<16:36:44, 1.41step/s] Training: 16%|█▌ | 15822/100000 [3:12:37<16:17:50, 1.43step/s] Training: 16%|█▌ | 15823/100000 [3:12:38<17:30:08, 1.34step/s] Training: 16%|█▌ | 15824/100000 [3:12:38<17:26:25, 1.34step/s] Training: 16%|█▌ | 15825/100000 [3:12:39<16:29:17, 1.42step/s] Training: 16%|█▌ | 15826/100000 [3:12:40<17:14:11, 1.36step/s] Training: 16%|█▌ | 15827/100000 [3:12:41<16:23:26, 1.43step/s] Training: 16%|█▌ | 15828/100000 [3:12:41<17:03:20, 1.37step/s] Training: 16%|█▌ | 15829/100000 [3:12:42<17:22:53, 1.35step/s] Training: 16%|█▌ | 15830/100000 [3:12:43<16:28:16, 1.42step/s] Training: 16%|█▌ | 15831/100000 [3:12:44<17:23:00, 1.34step/s] Training: 16%|█▌ | 15832/100000 [3:12:44<17:07:57, 1.36step/s] Training: 16%|█▌ | 15833/100000 [3:12:45<16:27:48, 1.42step/s] Training: 16%|█▌ | 15834/100000 [3:12:46<16:51:44, 1.39step/s] Training: 16%|█▌ | 15835/100000 [3:12:46<16:07:59, 1.45step/s] Training: 16%|█▌ | 15836/100000 [3:12:47<16:51:02, 1.39step/s] Training: 16%|█▌ | 15837/100000 [3:12:48<17:14:29, 1.36step/s] Training: 16%|█▌ | 15838/100000 [3:12:48<16:20:55, 1.43step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=55486 Training: 16%|█▌ | 15839/100000 [3:12:49<17:22:38, 1.35step/s] Training: 16%|█▌ | 15840/100000 [3:12:50<17:27:54, 1.34step/s] Training: 16%|█▌ | 15841/100000 [3:12:51<16:48:32, 1.39step/s] Training: 16%|█▌ | 15842/100000 [3:12:51<17:24:24, 1.34step/s] Training: 16%|█▌ | 15843/100000 [3:12:52<16:28:10, 1.42step/s] Training: 16%|█▌ | 15844/100000 [3:12:53<16:29:20, 1.42step/s] Training: 16%|█▌ | 15845/100000 [3:12:54<16:46:49, 1.39step/s] Training: 16%|█▌ | 15846/100000 [3:12:54<16:08:58, 1.45step/s] Training: 16%|█▌ | 15847/100000 [3:12:55<16:46:42, 1.39step/s] Training: 16%|█▌ | 15848/100000 [3:12:56<17:00:02, 1.37step/s] Training: 16%|█▌ | 15849/100000 [3:12:56<16:18:00, 1.43step/s] Training: 16%|█▌ | 15850/100000 [3:12:57<16:58:43, 1.38step/s] Training: 16%|█▌ | 15851/100000 [3:12:58<16:12:41, 1.44step/s] Training: 16%|█▌ | 15852/100000 [3:12:58<16:25:44, 1.42step/s] Training: 16%|█▌ | 15853/100000 [3:12:59<16:22:27, 1.43step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=55486 Training: 16%|█▌ | 15854/100000 [3:13:00<16:08:45, 1.45step/s] Training: 16%|█▌ | 15855/100000 [3:13:01<17:20:44, 1.35step/s] Training: 16%|█▌ | 15856/100000 [3:13:01<17:41:23, 1.32step/s] Training: 16%|█▌ | 15857/100000 [3:13:02<16:47:46, 1.39step/s] Training: 16%|█▌ | 15858/100000 [3:13:03<17:16:41, 1.35step/s] Training: 16%|█▌ | 15859/100000 [3:13:04<16:30:46, 1.42step/s] Training: 16%|█▌ | 15860/100000 [3:13:04<16:54:12, 1.38step/s] Training: 16%|█▌ | 15861/100000 [3:13:05<17:06:19, 1.37step/s] Training: 16%|█▌ | 15862/100000 [3:13:06<16:23:56, 1.43step/s] Training: 16%|█▌ | 15863/100000 [3:13:06<15:52:53, 1.47step/s] Training: 16%|█▌ | 15864/100000 [3:13:07<17:05:02, 1.37step/s] Training: 16%|█▌ | 15865/100000 [3:13:08<16:20:08, 1.43step/s] Training: 16%|█▌ | 15866/100000 [3:13:09<16:47:34, 1.39step/s] Training: 16%|█▌ | 15867/100000 [3:13:09<16:05:31, 1.45step/s] Training: 16%|█▌ | 15868/100000 [3:13:10<16:41:10, 1.40step/s] Training: 16%|█▌ | 15869/100000 [3:13:11<17:08:09, 1.36step/s] Training: 16%|█▌ | 15870/100000 [3:13:11<16:23:08, 1.43step/s] Training: 16%|█▌ | 15871/100000 [3:13:12<15:50:29, 1.48step/s] Training: 16%|█▌ | 15872/100000 [3:13:13<16:27:51, 1.42step/s] Training: 16%|█▌ | 15873/100000 [3:13:13<16:00:58, 1.46step/s] Training: 16%|█▌ | 15874/100000 [3:13:14<16:51:01, 1.39step/s] Training: 16%|█▌ | 15875/100000 [3:13:15<16:13:49, 1.44step/s] Training: 16%|█▌ | 15876/100000 [3:13:16<16:19:10, 1.43step/s] Training: 16%|█▌ | 15877/100000 [3:13:16<16:40:00, 1.40step/s] Training: 16%|█▌ | 15878/100000 [3:13:17<16:06:04, 1.45step/s] Training: 16%|█▌ | 15879/100000 [3:13:18<15:42:01, 1.49step/s] Training: 16%|█▌ | 15880/100000 [3:13:18<16:17:07, 1.43step/s] Training: 16%|█▌ | 15881/100000 [3:13:19<17:01:10, 1.37step/s] Training: 16%|█▌ | 15882/100000 [3:13:20<17:17:08, 1.35step/s] Training: 16%|█▌ | 15883/100000 [3:13:21<17:23:43, 1.34step/s] Training: 16%|█▌ | 15884/100000 [3:13:21<17:21:00, 1.35step/s] Training: 16%|█▌ | 15885/100000 [3:13:22<17:06:15, 1.37step/s] Training: 16%|█▌ | 15886/100000 [3:13:23<16:39:38, 1.40step/s] Training: 16%|█▌ | 15887/100000 [3:13:23<15:56:44, 1.47step/s] Training: 16%|█▌ | 15888/100000 [3:13:24<17:20:51, 1.35step/s] Training: 16%|█▌ | 15889/100000 [3:13:25<16:25:41, 1.42step/s] Training: 16%|█▌ | 15890/100000 [3:13:26<17:13:11, 1.36step/s] Training: 16%|█▌ | 15891/100000 [3:13:26<17:09:12, 1.36step/s] Training: 16%|█▌ | 15892/100000 [3:13:27<17:36:48, 1.33step/s] Training: 16%|█▌ | 15893/100000 [3:13:28<17:54:04, 1.31step/s] Training: 16%|█▌ | 15894/100000 [3:13:29<16:52:36, 1.38step/s] Training: 16%|█▌ | 15895/100000 [3:13:29<16:06:31, 1.45step/s] Training: 16%|█▌ | 15896/100000 [3:13:30<16:28:00, 1.42step/s] Training: 16%|█▌ | 15897/100000 [3:13:31<17:19:46, 1.35step/s] Training: 16%|█▌ | 15898/100000 [3:13:32<17:20:40, 1.35step/s] Training: 16%|█▌ | 15899/100000 [3:13:32<17:09:47, 1.36step/s] Training: 16%|█▌ | 15900/100000 [3:13:33<17:40:19, 1.32step/s]INFO 2026-03-12 06:35:49 ot_train.py:435 step:16K smpl:1M ep:3K epch:13.48 loss:0.284 grdn:10.875 lr:1.9e-05 updt_s:0.704 data_s:0.012 Training: 16%|█▌ | 15901/100000 [3:13:34<17:55:27, 1.30step/s] Training: 16%|█▌ | 15902/100000 [3:13:34<17:00:07, 1.37step/s] Training: 16%|█▌ | 15903/100000 [3:13:35<16:24:23, 1.42step/s] Training: 16%|█▌ | 15904/100000 [3:13:36<17:00:19, 1.37step/s] Training: 16%|█▌ | 15905/100000 [3:13:37<17:50:47, 1.31step/s] Training: 16%|█▌ | 15906/100000 [3:13:38<17:56:38, 1.30step/s] Training: 16%|█▌ | 15907/100000 [3:13:38<17:41:57, 1.32step/s] Training: 16%|█▌ | 15908/100000 [3:13:39<17:23:19, 1.34step/s] Training: 16%|█▌ | 15909/100000 [3:13:40<17:29:06, 1.34step/s] Training: 16%|█▌ | 15910/100000 [3:13:40<16:41:35, 1.40step/s] Training: 16%|█▌ | 15911/100000 [3:13:41<16:03:02, 1.46step/s] Training: 16%|█▌ | 15912/100000 [3:13:42<16:24:57, 1.42step/s] Training: 16%|█▌ | 15913/100000 [3:13:43<16:56:23, 1.38step/s] Training: 16%|█▌ | 15914/100000 [3:13:43<17:19:05, 1.35step/s] Training: 16%|█▌ | 15915/100000 [3:13:44<17:30:34, 1.33step/s] Training: 16%|█▌ | 15916/100000 [3:13:45<17:18:00, 1.35step/s] Training: 16%|█▌ | 15917/100000 [3:13:46<17:26:39, 1.34step/s] Training: 16%|█▌ | 15918/100000 [3:13:46<16:37:41, 1.40step/s] Training: 16%|█▌ | 15919/100000 [3:13:47<16:09:32, 1.45step/s] Training: 16%|█▌ | 15920/100000 [3:13:48<16:39:55, 1.40step/s] Training: 16%|█▌ | 15921/100000 [3:13:48<17:13:34, 1.36step/s] Training: 16%|█▌ | 15922/100000 [3:13:49<17:48:37, 1.31step/s] Training: 16%|█▌ | 15923/100000 [3:13:50<17:23:30, 1.34step/s] Training: 16%|█▌ | 15924/100000 [3:13:51<17:44:03, 1.32step/s] Training: 16%|█▌ | 15925/100000 [3:13:51<17:41:08, 1.32step/s] Training: 16%|█▌ | 15926/100000 [3:13:52<16:36:50, 1.41step/s] Training: 16%|█▌ | 15927/100000 [3:13:53<16:00:54, 1.46step/s] Training: 16%|█▌ | 15928/100000 [3:13:53<16:13:48, 1.44step/s] Training: 16%|█▌ | 15929/100000 [3:13:54<16:58:36, 1.38step/s] Training: 16%|█▌ | 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Training: 16%|█▌ | 15962/100000 [3:14:18<16:53:59, 1.38step/s] Training: 16%|█▌ | 15963/100000 [3:14:19<17:06:23, 1.36step/s] Training: 16%|█▌ | 15964/100000 [3:14:19<17:29:15, 1.33step/s] Training: 16%|█▌ | 15965/100000 [3:14:20<17:48:14, 1.31step/s] Training: 16%|█▌ | 15966/100000 [3:14:21<16:51:29, 1.38step/s] Training: 16%|█▌ | 15967/100000 [3:14:22<16:18:39, 1.43step/s] Training: 16%|█▌ | 15968/100000 [3:14:22<16:38:43, 1.40step/s] Training: 16%|█▌ | 15969/100000 [3:14:23<16:06:42, 1.45step/s] Training: 16%|█▌ | 15970/100000 [3:14:24<16:44:59, 1.39step/s] Training: 16%|█▌ | 15971/100000 [3:14:24<17:12:06, 1.36step/s] Training: 16%|█▌ | 15972/100000 [3:14:25<16:58:56, 1.37step/s] Training: 16%|█▌ | 15973/100000 [3:14:26<17:19:22, 1.35step/s] Training: 16%|█▌ | 15974/100000 [3:14:27<16:22:01, 1.43step/s] Training: 16%|█▌ | 15975/100000 [3:14:27<16:00:54, 1.46step/s] Training: 16%|█▌ | 15976/100000 [3:14:28<16:35:58, 1.41step/s] Training: 16%|█▌ | 15977/100000 [3:14:29<16:00:30, 1.46step/s] Training: 16%|█▌ | 15978/100000 [3:14:29<16:49:04, 1.39step/s] Training: 16%|█▌ | 15979/100000 [3:14:30<17:16:47, 1.35step/s] Training: 16%|█▌ | 15980/100000 [3:14:31<17:19:06, 1.35step/s] Training: 16%|█▌ | 15981/100000 [3:14:32<16:59:45, 1.37step/s] Training: 16%|█▌ | 15982/100000 [3:14:32<16:35:46, 1.41step/s] Training: 16%|█▌ | 15983/100000 [3:14:33<15:52:43, 1.47step/s] Training: 16%|█▌ | 15984/100000 [3:14:34<16:41:25, 1.40step/s] Training: 16%|█▌ | 15985/100000 [3:14:34<16:11:38, 1.44step/s] Training: 16%|█▌ | 15986/100000 [3:14:35<17:04:15, 1.37step/s] Training: 16%|█▌ | 15987/100000 [3:14:36<17:36:43, 1.33step/s] Training: 16%|█▌ | 15988/100000 [3:14:37<17:48:25, 1.31step/s] Training: 16%|█▌ | 15989/100000 [3:14:38<17:52:00, 1.31step/s] Training: 16%|█▌ | 15990/100000 [3:14:38<16:53:03, 1.38step/s] Training: 16%|█▌ | 15991/100000 [3:14:39<16:12:15, 1.44step/s] Training: 16%|█▌ | 15992/100000 [3:14:39<16:19:37, 1.43step/s] Training: 16%|█▌ | 15993/100000 [3:14:40<15:48:04, 1.48step/s] Training: 16%|█▌ | 15994/100000 [3:14:41<16:24:22, 1.42step/s] Training: 16%|█▌ | 15995/100000 [3:14:42<17:05:23, 1.37step/s] Training: 16%|█▌ | 15996/100000 [3:14:42<17:11:51, 1.36step/s] Training: 16%|█▌ | 15997/100000 [3:14:43<17:34:02, 1.33step/s] Training: 16%|█▌ | 15998/100000 [3:14:44<16:32:22, 1.41step/s] Training: 16%|█▌ | 15999/100000 [3:14:44<15:55:34, 1.47step/s] Training: 16%|█▌ | 16000/100000 [3:14:45<16:27:15, 1.42step/s]INFO 2026-03-12 06:37:01 ot_train.py:435 step:16K smpl:1M ep:3K epch:13.56 loss:0.307 grdn:11.147 lr:1.9e-05 updt_s:0.706 data_s:0.013 Training: 16%|█▌ | 16001/100000 [3:14:46<15:56:10, 1.46step/s] Training: 16%|█▌ | 16002/100000 [3:14:47<16:41:18, 1.40step/s] Training: 16%|█▌ | 16003/100000 [3:14:47<16:59:30, 1.37step/s] Training: 16%|█▌ | 16004/100000 [3:14:48<17:32:53, 1.33step/s] Training: 16%|█▌ | 16005/100000 [3:14:49<17:32:22, 1.33step/s] Training: 16%|█▌ | 16006/100000 [3:14:50<16:30:23, 1.41step/s] Training: 16%|█▌ | 16007/100000 [3:14:50<16:01:50, 1.46step/s] Training: 16%|█▌ | 16008/100000 [3:14:51<16:31:00, 1.41step/s] Training: 16%|█▌ | 16009/100000 [3:14:52<15:56:34, 1.46step/s] Training: 16%|█▌ | 16010/100000 [3:14:52<16:50:21, 1.39step/s] Training: 16%|█▌ | 16011/100000 [3:14:53<17:09:10, 1.36step/s] Training: 16%|█▌ | 16012/100000 [3:14:54<18:05:11, 1.29step/s] Training: 16%|█▌ | 16013/100000 [3:14:55<17:48:48, 1.31step/s] Training: 16%|█▌ | 16014/100000 [3:14:55<16:56:21, 1.38step/s] Training: 16%|█▌ | 16015/100000 [3:14:56<16:24:37, 1.42step/s] Training: 16%|█▌ | 16016/100000 [3:14:57<17:07:29, 1.36step/s] Training: 16%|█▌ | 16017/100000 [3:14:57<16:25:21, 1.42step/s] Training: 16%|█▌ | 16018/100000 [3:14:58<17:01:07, 1.37step/s] Training: 16%|█▌ | 16019/100000 [3:14:59<16:57:45, 1.38step/s] Training: 16%|█▌ | 16020/100000 [3:15:00<17:57:18, 1.30step/s] Training: 16%|█▌ | 16021/100000 [3:15:01<18:05:22, 1.29step/s] Training: 16%|█▌ | 16022/100000 [3:15:01<17:07:49, 1.36step/s] Training: 16%|█▌ | 16023/100000 [3:15:02<16:27:50, 1.42step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=53845 Training: 16%|█▌ | 16024/100000 [3:15:03<16:25:40, 1.42step/s] Training: 16%|█▌ | 16025/100000 [3:15:03<15:44:59, 1.48step/s] Training: 16%|█▌ | 16026/100000 [3:15:04<16:18:16, 1.43step/s] Training: 16%|█▌ | 16027/100000 [3:15:05<16:56:08, 1.38step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=67389 Training: 16%|█▌ | 16028/100000 [3:15:06<17:49:24, 1.31step/s] Training: 16%|█▌ | 16029/100000 [3:15:06<16:59:54, 1.37step/s] Training: 16%|█▌ | 16030/100000 [3:15:07<16:44:31, 1.39step/s] Training: 16%|█▌ | 16031/100000 [3:15:08<16:05:32, 1.45step/s] Training: 16%|█▌ | 16032/100000 [3:15:08<16:32:20, 1.41step/s] Training: 16%|█▌ | 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| 16062/100000 [3:15:30<16:50:26, 1.38step/s] Training: 16%|█▌ | 16063/100000 [3:15:31<16:03:32, 1.45step/s] Training: 16%|█▌ | 16064/100000 [3:15:31<16:37:14, 1.40step/s] Training: 16%|█▌ | 16065/100000 [3:15:32<15:55:19, 1.46step/s] Training: 16%|█▌ | 16066/100000 [3:15:33<16:45:40, 1.39step/s] Training: 16%|█▌ | 16067/100000 [3:15:34<17:13:58, 1.35step/s] Training: 16%|█▌ | 16068/100000 [3:15:34<17:02:44, 1.37step/s] Training: 16%|█▌ | 16069/100000 [3:15:35<17:33:39, 1.33step/s] Training: 16%|█▌ | 16070/100000 [3:15:36<16:37:38, 1.40step/s] Training: 16%|█▌ | 16071/100000 [3:15:36<16:02:26, 1.45step/s] Training: 16%|█▌ | 16072/100000 [3:15:37<16:39:54, 1.40step/s] Training: 16%|█▌ | 16073/100000 [3:15:38<15:58:15, 1.46step/s] Training: 16%|█▌ | 16074/100000 [3:15:39<16:38:10, 1.40step/s] Training: 16%|█▌ | 16075/100000 [3:15:39<17:00:51, 1.37step/s] Training: 16%|█▌ | 16076/100000 [3:15:40<17:15:45, 1.35step/s] Training: 16%|█▌ | 16077/100000 [3:15:41<17:35:14, 1.33step/s] Training: 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Training: 16%|█▌ | 16094/100000 [3:15:53<16:47:03, 1.39step/s] Training: 16%|█▌ | 16095/100000 [3:15:54<17:21:58, 1.34step/s] Training: 16%|█▌ | 16096/100000 [3:15:55<17:26:38, 1.34step/s] Training: 16%|█▌ | 16097/100000 [3:15:56<16:38:10, 1.40step/s] Training: 16%|█▌ | 16098/100000 [3:15:56<17:16:33, 1.35step/s] Training: 16%|█▌ | 16099/100000 [3:15:57<17:30:36, 1.33step/s] Training: 16%|█▌ | 16100/100000 [3:15:58<17:40:04, 1.32step/s]INFO 2026-03-12 06:38:14 ot_train.py:435 step:16K smpl:1M ep:4K epch:13.65 loss:0.278 grdn:11.780 lr:1.9e-05 updt_s:0.713 data_s:0.013 Training: 16%|█▌ | 16101/100000 [3:15:59<17:47:22, 1.31step/s] Training: 16%|█▌ | 16102/100000 [3:16:00<18:21:32, 1.27step/s] Training: 16%|█▌ | 16103/100000 [3:16:00<17:22:48, 1.34step/s] Training: 16%|█▌ | 16104/100000 [3:16:01<17:20:35, 1.34step/s] Training: 16%|█▌ | 16105/100000 [3:16:02<16:33:08, 1.41step/s] Training: 16%|█▌ | 16106/100000 [3:16:02<17:06:01, 1.36step/s] Training: 16%|█▌ | 16107/100000 [3:16:03<17:19:14, 1.35step/s] Training: 16%|█▌ | 16108/100000 [3:16:04<17:01:36, 1.37step/s] Training: 16%|█▌ | 16109/100000 [3:16:05<17:08:30, 1.36step/s] Training: 16%|█▌ | 16110/100000 [3:16:05<16:31:21, 1.41step/s] Training: 16%|█▌ | 16111/100000 [3:16:06<17:25:32, 1.34step/s] Training: 16%|█▌ | 16112/100000 [3:16:07<17:27:34, 1.33step/s] Training: 16%|█▌ | 16113/100000 [3:16:07<16:38:07, 1.40step/s] Training: 16%|█▌ | 16114/100000 [3:16:08<17:21:57, 1.34step/s] Training: 16%|█▌ | 16115/100000 [3:16:09<17:13:24, 1.35step/s] Training: 16%|█▌ | 16116/100000 [3:16:10<17:19:20, 1.35step/s] Training: 16%|█▌ | 16117/100000 [3:16:11<17:10:43, 1.36step/s] Training: 16%|█▌ | 16118/100000 [3:16:11<16:28:58, 1.41step/s] Training: 16%|█▌ | 16119/100000 [3:16:12<17:30:41, 1.33step/s] Training: 16%|█▌ | 16120/100000 [3:16:13<17:05:51, 1.36step/s] Training: 16%|█▌ | 16121/100000 [3:16:13<16:13:31, 1.44step/s] Training: 16%|█▌ | 16122/100000 [3:16:14<16:30:24, 1.41step/s] Training: 16%|█▌ | 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[3:17:00<16:52:31, 1.38step/s] Training: 16%|█▌ | 16187/100000 [3:17:01<17:13:12, 1.35step/s] Training: 16%|█▌ | 16188/100000 [3:17:02<17:17:22, 1.35step/s] Training: 16%|█▌ | 16189/100000 [3:17:03<17:36:05, 1.32step/s] Training: 16%|█▌ | 16190/100000 [3:17:03<16:46:04, 1.39step/s] Training: 16%|█▌ | 16191/100000 [3:17:04<16:16:16, 1.43step/s] Training: 16%|█▌ | 16192/100000 [3:17:05<16:55:03, 1.38step/s] Training: 16%|█▌ | 16193/100000 [3:17:06<17:23:35, 1.34step/s] Training: 16%|█▌ | 16194/100000 [3:17:06<17:42:30, 1.31step/s] Training: 16%|█▌ | 16195/100000 [3:17:07<18:04:12, 1.29step/s] Training: 16%|█▌ | 16196/100000 [3:17:08<17:47:43, 1.31step/s] Training: 16%|█▌ | 16197/100000 [3:17:09<17:53:51, 1.30step/s] Training: 16%|█▌ | 16198/100000 [3:17:09<16:53:30, 1.38step/s] Training: 16%|█▌ | 16199/100000 [3:17:10<16:12:19, 1.44step/s] Training: 16%|█▌ | 16200/100000 [3:17:11<16:42:08, 1.39step/s]INFO 2026-03-12 06:39:27 ot_train.py:435 step:16K smpl:1M ep:4K epch:13.73 loss:0.285 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Training: 16%|█▋ | 16295/100000 [3:18:19<16:25:56, 1.41step/s] Training: 16%|█▋ | 16296/100000 [3:18:20<16:42:56, 1.39step/s] Training: 16%|█▋ | 16297/100000 [3:18:20<16:05:04, 1.45step/s] Training: 16%|█▋ | 16298/100000 [3:18:21<16:49:09, 1.38step/s] Training: 16%|█▋ | 16299/100000 [3:18:22<16:15:35, 1.43step/s] Training: 16%|█▋ | 16300/100000 [3:18:23<16:41:13, 1.39step/s]INFO 2026-03-12 06:40:39 ot_train.py:435 step:16K smpl:1M ep:4K epch:13.82 loss:0.292 grdn:11.607 lr:1.9e-05 updt_s:0.705 data_s:0.012 Training: 16%|█▋ | 16301/100000 [3:18:23<16:37:55, 1.40step/s] Training: 16%|█▋ | 16302/100000 [3:18:24<16:57:41, 1.37step/s] Training: 16%|█▋ | 16303/100000 [3:18:25<16:15:27, 1.43step/s] Training: 16%|█▋ | 16304/100000 [3:18:25<16:19:25, 1.42step/s] Training: 16%|█▋ | 16305/100000 [3:18:26<15:49:04, 1.47step/s] Training: 16%|█▋ | 16306/100000 [3:18:27<17:26:06, 1.33step/s] Training: 16%|█▋ | 16307/100000 [3:18:28<16:28:04, 1.41step/s] Training: 16%|█▋ | 16308/100000 [3:18:28<17:06:30, 1.36step/s] Training: 16%|█▋ | 16309/100000 [3:18:29<17:19:48, 1.34step/s] Training: 16%|█▋ | 16310/100000 [3:18:30<17:29:51, 1.33step/s] Training: 16%|█▋ | 16311/100000 [3:18:31<16:43:02, 1.39step/s] Training: 16%|█▋ | 16312/100000 [3:18:31<16:53:59, 1.38step/s] Training: 16%|█▋ | 16313/100000 [3:18:32<16:04:12, 1.45step/s] Training: 16%|█▋ | 16314/100000 [3:18:33<16:37:31, 1.40step/s] Training: 16%|█▋ | 16315/100000 [3:18:33<16:12:16, 1.43step/s] Training: 16%|█▋ | 16316/100000 [3:18:34<16:58:08, 1.37step/s] Training: 16%|█▋ | 16317/100000 [3:18:35<17:17:26, 1.34step/s] Training: 16%|█▋ | 16318/100000 [3:18:36<17:22:20, 1.34step/s] Training: 16%|█▋ | 16319/100000 [3:18:36<16:31:23, 1.41step/s] Training: 16%|█▋ | 16320/100000 [3:18:37<16:55:58, 1.37step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=44656 Training: 16%|█▋ | 16321/100000 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[3:19:34<17:12:58, 1.35step/s]INFO 2026-03-12 06:41:50 ot_train.py:435 step:16K smpl:1M ep:4K epch:13.90 loss:0.303 grdn:11.913 lr:1.9e-05 updt_s:0.703 data_s:0.012 Training: 16%|█▋ | 16401/100000 [3:19:35<16:22:32, 1.42step/s] Training: 16%|█▋ | 16402/100000 [3:19:36<17:03:20, 1.36step/s] Training: 16%|█▋ | 16403/100000 [3:19:36<16:18:30, 1.42step/s] Training: 16%|█▋ | 16404/100000 [3:19:37<16:42:21, 1.39step/s] Training: 16%|█▋ | 16405/100000 [3:19:38<16:35:58, 1.40step/s] Training: 16%|█▋ | 16406/100000 [3:19:39<16:42:32, 1.39step/s] Training: 16%|█▋ | 16407/100000 [3:19:39<17:02:40, 1.36step/s] Training: 16%|█▋ | 16408/100000 [3:19:40<16:56:22, 1.37step/s] Training: 16%|█▋ | 16409/100000 [3:19:41<16:11:14, 1.43step/s] Training: 16%|█▋ | 16410/100000 [3:19:42<16:39:07, 1.39step/s] Training: 16%|█▋ | 16411/100000 [3:19:42<15:52:58, 1.46step/s] Training: 16%|█▋ | 16412/100000 [3:19:43<16:24:52, 1.41step/s] Training: 16%|█▋ | 16413/100000 [3:19:44<17:12:28, 1.35step/s] Training: 16%|█▋ 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Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 17%|█▋ | 16521/100000 [3:21:06<45:18:00, 1.95s/step] Training: 17%|█▋ | 16522/100000 [3:21:07<38:10:22, 1.65s/step] Training: 17%|█▋ | 16523/100000 [3:21:07<31:03:57, 1.34s/step] Training: 17%|█▋ | 16524/100000 [3:21:08<27:35:58, 1.19s/step] Training: 17%|█▋ | 16525/100000 [3:21:09<24:35:58, 1.06s/step] Training: 17%|█▋ | 16526/100000 [3:21:10<22:58:29, 1.01step/s] Training: 17%|█▋ | 16527/100000 [3:21:10<20:30:58, 1.13step/s] Training: 17%|█▋ | 16528/100000 [3:21:11<19:53:55, 1.17step/s] Training: 17%|█▋ | 16529/100000 [3:21:12<18:17:34, 1.27step/s] Training: 17%|█▋ | 16530/100000 [3:21:13<18:35:04, 1.25step/s] Training: 17%|█▋ | 16531/100000 [3:21:13<17:13:40, 1.35step/s] Training: 17%|█▋ | 16532/100000 [3:21:14<17:27:22, 1.33step/s] Training: 17%|█▋ | 16533/100000 [3:21:15<17:12:29, 1.35step/s] 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Training: 17%|█▋ | 16687/100000 [3:23:05<16:34:46, 1.40step/s] Training: 17%|█▋ | 16688/100000 [3:23:06<16:55:19, 1.37step/s] Training: 17%|█▋ | 16689/100000 [3:23:07<16:12:49, 1.43step/s] Training: 17%|█▋ | 16690/100000 [3:23:08<15:45:53, 1.47step/s] Training: 17%|█▋ | 16691/100000 [3:23:08<15:31:06, 1.49step/s] Training: 17%|█▋ | 16692/100000 [3:23:09<16:29:11, 1.40step/s] Training: 17%|█▋ | 16693/100000 [3:23:10<16:37:07, 1.39step/s] Training: 17%|█▋ | 16694/100000 [3:23:10<16:53:59, 1.37step/s] Training: 17%|█▋ | 16695/100000 [3:23:11<15:59:37, 1.45step/s] Training: 17%|█▋ | 16696/100000 [3:23:12<16:14:52, 1.42step/s] Training: 17%|█▋ | 16697/100000 [3:23:12<15:45:18, 1.47step/s] Training: 17%|█▋ | 16698/100000 [3:23:13<15:23:25, 1.50step/s] Training: 17%|█▋ | 16699/100000 [3:23:14<16:53:36, 1.37step/s] Training: 17%|█▋ | 16700/100000 [3:23:15<17:10:55, 1.35step/s]INFO 2026-03-12 06:45:31 ot_train.py:435 step:17K smpl:1M ep:4K epch:14.15 loss:0.275 grdn:11.893 lr:1.9e-05 updt_s:0.702 data_s:0.012 Training: 17%|█▋ | 16701/100000 [3:23:15<17:19:44, 1.34step/s] Training: 17%|█▋ | 16702/100000 [3:23:16<16:54:27, 1.37step/s] Training: 17%|█▋ | 16703/100000 [3:23:17<17:19:57, 1.33step/s] Training: 17%|█▋ | 16704/100000 [3:23:18<17:07:42, 1.35step/s] Training: 17%|█▋ | 16705/100000 [3:23:18<16:21:10, 1.41step/s] Training: 17%|█▋ | 16706/100000 [3:23:19<15:51:38, 1.46step/s] Training: 17%|█▋ | 16707/100000 [3:23:20<16:39:16, 1.39step/s] Training: 17%|█▋ | 16708/100000 [3:23:21<17:07:07, 1.35step/s] Training: 17%|█▋ | 16709/100000 [3:23:21<17:27:21, 1.33step/s] Training: 17%|█▋ | 16710/100000 [3:23:22<17:32:05, 1.32step/s] Training: 17%|█▋ | 16711/100000 [3:23:23<17:38:12, 1.31step/s] Training: 17%|█▋ | 16712/100000 [3:23:24<17:32:02, 1.32step/s] Training: 17%|█▋ | 16713/100000 [3:23:24<16:36:00, 1.39step/s] Training: 17%|█▋ | 16714/100000 [3:23:25<16:05:34, 1.44step/s] Training: 17%|█▋ | 16715/100000 [3:23:26<16:26:34, 1.41step/s] Training: 17%|█▋ | 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1.41step/s] Training: 17%|█▋ | 16764/100000 [3:24:01<16:59:23, 1.36step/s] Training: 17%|█▋ | 16765/100000 [3:24:02<16:13:49, 1.42step/s] Training: 17%|█▋ | 16766/100000 [3:24:02<16:32:35, 1.40step/s] Training: 17%|█▋ | 16767/100000 [3:24:03<15:56:17, 1.45step/s] Training: 17%|█▋ | 16768/100000 [3:24:04<16:30:18, 1.40step/s] Training: 17%|█▋ | 16769/100000 [3:24:04<15:45:58, 1.47step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=41529 Training: 17%|█▋ | 16770/100000 [3:24:05<15:14:17, 1.52step/s] Training: 17%|█▋ | 16771/100000 [3:24:06<16:12:26, 1.43step/s] Training: 17%|█▋ | 16772/100000 [3:24:07<16:30:35, 1.40step/s] Training: 17%|█▋ | 16773/100000 [3:24:07<16:55:46, 1.37step/s] Training: 17%|█▋ | 16774/100000 [3:24:08<17:02:00, 1.36step/s] Training: 17%|█▋ | 16775/100000 [3:24:09<16:07:55, 1.43step/s] Training: 17%|█▋ | 16776/100000 [3:24:09<16:32:27, 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[3:24:21<16:37:42, 1.39step/s] Training: 17%|█▋ | 16793/100000 [3:24:22<17:04:21, 1.35step/s] Training: 17%|█▋ | 16794/100000 [3:24:22<16:13:09, 1.43step/s] Training: 17%|█▋ | 16795/100000 [3:24:23<17:04:45, 1.35step/s] Training: 17%|█▋ | 16796/100000 [3:24:24<17:17:25, 1.34step/s] Training: 17%|█▋ | 16797/100000 [3:24:25<16:17:01, 1.42step/s] Training: 17%|█▋ | 16798/100000 [3:24:25<16:33:14, 1.40step/s] Training: 17%|█▋ | 16799/100000 [3:24:26<15:46:18, 1.47step/s] Training: 17%|█▋ | 16800/100000 [3:24:27<16:20:19, 1.41step/s]INFO 2026-03-12 06:46:43 ot_train.py:435 step:17K smpl:1M ep:4K epch:14.24 loss:0.259 grdn:10.632 lr:1.9e-05 updt_s:0.706 data_s:0.012 Training: 17%|█▋ | 16801/100000 [3:24:27<15:37:45, 1.48step/s] Training: 17%|█▋ | 16802/100000 [3:24:28<16:27:46, 1.40step/s] Training: 17%|█▋ | 16803/100000 [3:24:29<16:46:11, 1.38step/s] Training: 17%|█▋ | 16804/100000 [3:24:30<17:24:18, 1.33step/s] Training: 17%|█▋ | 16805/100000 [3:24:31<17:43:45, 1.30step/s] Training: 17%|█▋ 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[3:25:16<17:02:09, 1.36step/s] Training: 17%|█▋ | 16870/100000 [3:25:17<17:14:51, 1.34step/s] Training: 17%|█▋ | 16871/100000 [3:25:18<16:16:36, 1.42step/s] Training: 17%|█▋ | 16872/100000 [3:25:19<16:49:49, 1.37step/s] Training: 17%|█▋ | 16873/100000 [3:25:19<16:08:22, 1.43step/s] Training: 17%|█▋ | 16874/100000 [3:25:20<15:30:32, 1.49step/s] Training: 17%|█▋ | 16875/100000 [3:25:21<16:10:09, 1.43step/s] Training: 17%|█▋ | 16876/100000 [3:25:21<16:50:04, 1.37step/s] Training: 17%|█▋ | 16877/100000 [3:25:22<16:59:36, 1.36step/s] Training: 17%|█▋ | 16878/100000 [3:25:23<17:21:09, 1.33step/s] Training: 17%|█▋ | 16879/100000 [3:25:24<16:38:24, 1.39step/s] Training: 17%|█▋ | 16880/100000 [3:25:24<16:59:52, 1.36step/s] Training: 17%|█▋ | 16881/100000 [3:25:25<16:18:06, 1.42step/s] Training: 17%|█▋ | 16882/100000 [3:25:26<15:48:11, 1.46step/s] Training: 17%|█▋ | 16883/100000 [3:25:26<15:34:35, 1.48step/s] Training: 17%|█▋ | 16884/100000 [3:25:27<16:40:52, 1.38step/s] Training: 17%|█▋ | 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2026-03-12 06:47:54 ot_train.py:435 step:17K smpl:1M ep:4K epch:14.32 loss:0.274 grdn:10.875 lr:1.9e-05 updt_s:0.701 data_s:0.013 Training: 17%|█▋ | 16901/100000 [3:25:39<16:46:09, 1.38step/s] Training: 17%|█▋ | 16902/100000 [3:25:40<16:55:29, 1.36step/s] Training: 17%|█▋ | 16903/100000 [3:25:40<16:01:38, 1.44step/s] Training: 17%|█▋ | 16904/100000 [3:25:41<16:27:52, 1.40step/s] Training: 17%|█▋ | 16905/100000 [3:25:42<15:41:40, 1.47step/s] Training: 17%|█▋ | 16906/100000 [3:25:42<15:24:32, 1.50step/s] Training: 17%|█▋ | 16907/100000 [3:25:43<16:11:40, 1.43step/s] Training: 17%|█▋ | 16908/100000 [3:25:44<16:38:53, 1.39step/s] Training: 17%|█▋ | 16909/100000 [3:25:45<17:06:53, 1.35step/s] Training: 17%|█▋ | 16910/100000 [3:25:46<17:20:12, 1.33step/s] Training: 17%|█▋ | 16911/100000 [3:25:46<16:33:32, 1.39step/s] Training: 17%|█▋ | 16912/100000 [3:25:47<16:50:35, 1.37step/s] Training: 17%|█▋ | 16913/100000 [3:25:48<15:58:37, 1.44step/s] Training: 17%|█▋ | 16914/100000 [3:25:48<15:30:45, 1.49step/s] Training: 17%|█▋ | 16915/100000 [3:25:49<15:11:34, 1.52step/s] Training: 17%|█▋ | 16916/100000 [3:25:50<16:26:29, 1.40step/s] Training: 17%|█▋ | 16917/100000 [3:25:50<16:38:02, 1.39step/s] Training: 17%|█▋ | 16918/100000 [3:25:51<16:34:12, 1.39step/s] Training: 17%|█▋ | 16919/100000 [3:25:52<15:56:05, 1.45step/s] Training: 17%|█▋ | 16920/100000 [3:25:52<16:16:13, 1.42step/s] Training: 17%|█▋ | 16921/100000 [3:25:53<15:45:17, 1.46step/s] Training: 17%|█▋ | 16922/100000 [3:25:54<15:22:33, 1.50step/s] Training: 17%|█▋ | 16923/100000 [3:25:54<16:23:58, 1.41step/s] Training: 17%|█▋ | 16924/100000 [3:25:55<16:49:13, 1.37step/s] Training: 17%|█▋ | 16925/100000 [3:25:56<17:38:26, 1.31step/s] Training: 17%|█▋ | 16926/100000 [3:25:57<17:20:11, 1.33step/s] Training: 17%|█▋ | 16927/100000 [3:25:57<16:20:28, 1.41step/s] Training: 17%|█▋ | 16928/100000 [3:25:58<16:44:03, 1.38step/s] Training: 17%|█▋ | 16929/100000 [3:25:59<16:05:20, 1.43step/s] Training: 17%|█▋ | 16930/100000 [3:25:59<15:27:50, 1.49step/s] Training: 17%|█▋ | 16931/100000 [3:26:00<16:26:50, 1.40step/s] Training: 17%|█▋ | 16932/100000 [3:26:01<16:46:36, 1.38step/s] Training: 17%|█▋ | 16933/100000 [3:26:02<17:42:02, 1.30step/s] Training: 17%|█▋ | 16934/100000 [3:26:02<16:36:43, 1.39step/s] Training: 17%|█▋ | 16935/100000 [3:26:03<16:54:32, 1.36step/s] Training: 17%|█▋ | 16936/100000 [3:26:04<17:18:57, 1.33step/s] Training: 17%|█▋ | 16937/100000 [3:26:05<16:31:35, 1.40step/s] Training: 17%|█▋ | 16938/100000 [3:26:05<15:59:07, 1.44step/s] Training: 17%|█▋ | 16939/100000 [3:26:06<16:29:48, 1.40step/s] Training: 17%|█▋ | 16940/100000 [3:26:07<16:58:50, 1.36step/s] Training: 17%|█▋ | 16941/100000 [3:26:08<17:06:27, 1.35step/s] Training: 17%|█▋ | 16942/100000 [3:26:08<17:21:01, 1.33step/s] Training: 17%|█▋ | 16943/100000 [3:26:09<16:31:52, 1.40step/s] Training: 17%|█▋ | 16944/100000 [3:26:10<17:01:13, 1.36step/s] Training: 17%|█▋ | 16945/100000 [3:26:10<16:16:11, 1.42step/s] Training: 17%|█▋ | 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Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=41529 Training: 17%|█▋ | 16962/100000 [3:26:22<15:29:57, 1.49step/s] Training: 17%|█▋ | 16963/100000 [3:26:23<16:13:34, 1.42step/s] Training: 17%|█▋ | 16964/100000 [3:26:24<16:38:21, 1.39step/s] Training: 17%|█▋ | 16965/100000 [3:26:25<16:54:05, 1.36step/s] Training: 17%|█▋ | 16966/100000 [3:26:26<17:16:16, 1.34step/s] Training: 17%|█▋ | 16967/100000 [3:26:26<16:12:14, 1.42step/s] Training: 17%|█▋ | 16968/100000 [3:26:27<16:39:11, 1.38step/s] Training: 17%|█▋ | 16969/100000 [3:26:27<16:01:10, 1.44step/s] Training: 17%|█▋ | 16970/100000 [3:26:28<15:31:53, 1.48step/s] Training: 17%|█▋ | 16971/100000 [3:26:29<16:20:58, 1.41step/s] Training: 17%|█▋ | 16972/100000 [3:26:30<16:49:56, 1.37step/s] Training: 17%|█▋ | 16973/100000 [3:26:30<17:00:46, 1.36step/s] Training: 17%|█▋ | 16974/100000 [3:26:31<17:35:05, 1.31step/s] Training: 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Training: 17%|█▋ | 16991/100000 [3:26:43<16:00:20, 1.44step/s] Training: 17%|█▋ | 16992/100000 [3:26:44<16:33:50, 1.39step/s] Training: 17%|█▋ | 16993/100000 [3:26:45<15:57:54, 1.44step/s] Training: 17%|█▋ | 16994/100000 [3:26:45<15:38:15, 1.47step/s] Training: 17%|█▋ | 16995/100000 [3:26:46<16:49:24, 1.37step/s] Training: 17%|█▋ | 16996/100000 [3:26:47<17:05:51, 1.35step/s] Training: 17%|█▋ | 16997/100000 [3:26:48<17:29:49, 1.32step/s] Training: 17%|█▋ | 16998/100000 [3:26:48<16:28:56, 1.40step/s] Training: 17%|█▋ | 16999/100000 [3:26:49<17:00:35, 1.36step/s] Training: 17%|█▋ | 17000/100000 [3:26:50<17:03:58, 1.35step/s]INFO 2026-03-12 06:49:06 ot_train.py:435 step:17K smpl:1M ep:4K epch:14.41 loss:0.267 grdn:11.337 lr:1.9e-05 updt_s:0.700 data_s:0.012 Training: 17%|█▋ | 17001/100000 [3:26:50<16:16:12, 1.42step/s] Training: 17%|█▋ | 17002/100000 [3:26:51<15:46:27, 1.46step/s] Training: 17%|█▋ | 17003/100000 [3:26:52<16:36:03, 1.39step/s] Training: 17%|█▋ | 17004/100000 [3:26:53<17:06:48, 1.35step/s] Training: 17%|█▋ | 17005/100000 [3:26:53<17:09:21, 1.34step/s] Training: 17%|█▋ | 17006/100000 [3:26:54<17:32:56, 1.31step/s] Training: 17%|█▋ | 17007/100000 [3:26:55<17:46:13, 1.30step/s] Training: 17%|█▋ | 17008/100000 [3:26:56<17:40:01, 1.30step/s] Training: 17%|█▋ | 17009/100000 [3:26:56<16:47:05, 1.37step/s] Training: 17%|█▋ | 17010/100000 [3:26:57<16:01:03, 1.44step/s] Training: 17%|█▋ | 17011/100000 [3:26:58<16:53:09, 1.37step/s] Training: 17%|█▋ | 17012/100000 [3:26:59<17:07:53, 1.35step/s] Training: 17%|█▋ | 17013/100000 [3:26:59<16:59:46, 1.36step/s] Training: 17%|█▋ | 17014/100000 [3:27:00<16:45:12, 1.38step/s] Training: 17%|█▋ | 17015/100000 [3:27:01<16:40:57, 1.38step/s] Training: 17%|█▋ | 17016/100000 [3:27:01<16:35:53, 1.39step/s] Training: 17%|█▋ | 17017/100000 [3:27:02<15:46:24, 1.46step/s] Training: 17%|█▋ | 17018/100000 [3:27:03<15:14:12, 1.51step/s] Training: 17%|█▋ | 17019/100000 [3:27:03<16:22:12, 1.41step/s] Training: 17%|█▋ | 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17%|█▋ | 17036/100000 [3:27:16<17:01:08, 1.35step/s] Training: 17%|█▋ | 17037/100000 [3:27:16<17:20:17, 1.33step/s] Training: 17%|█▋ | 17038/100000 [3:27:17<17:11:36, 1.34step/s] Training: 17%|█▋ | 17039/100000 [3:27:18<17:05:49, 1.35step/s] Training: 17%|█▋ | 17040/100000 [3:27:19<17:10:56, 1.34step/s] Training: 17%|█▋ | 17041/100000 [3:27:19<16:23:09, 1.41step/s] Training: 17%|█▋ | 17042/100000 [3:27:20<15:51:52, 1.45step/s] Training: 17%|█▋ | 17043/100000 [3:27:21<16:45:42, 1.37step/s] Training: 17%|█▋ | 17044/100000 [3:27:22<17:19:44, 1.33step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=50351 Training: 17%|█▋ | 17045/100000 [3:27:22<17:12:48, 1.34step/s] Training: 17%|█▋ | 17046/100000 [3:27:23<16:54:16, 1.36step/s] Training: 17%|█▋ | 17047/100000 [3:27:24<16:14:06, 1.42step/s] Training: 17%|█▋ | 17048/100000 [3:27:24<16:54:32, 1.36step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=33818 Training: 17%|█▋ | 17049/100000 [3:27:25<16:13:02, 1.42step/s] Training: 17%|█▋ | 17050/100000 [3:27:26<15:50:47, 1.45step/s] Training: 17%|█▋ | 17051/100000 [3:27:27<17:04:41, 1.35step/s] Training: 17%|█▋ | 17052/100000 [3:27:27<17:47:19, 1.30step/s] Training: 17%|█▋ | 17053/100000 [3:27:28<16:43:46, 1.38step/s] Training: 17%|█▋ | 17054/100000 [3:27:29<17:02:17, 1.35step/s] Training: 17%|█▋ | 17055/100000 [3:27:29<16:09:55, 1.43step/s] Training: 17%|█▋ | 17056/100000 [3:27:30<16:40:06, 1.38step/s] Training: 17%|█▋ | 17057/100000 [3:27:31<15:57:47, 1.44step/s] Training: 17%|█▋ | 17058/100000 [3:27:31<15:37:31, 1.47step/s] Training: 17%|█▋ | 17059/100000 [3:27:32<16:08:30, 1.43step/s] Training: 17%|█▋ | 17060/100000 [3:27:33<16:39:47, 1.38step/s] Training: 17%|█▋ | 17061/100000 [3:27:34<17:15:08, 1.34step/s] Training: 17%|█▋ | 17062/100000 [3:27:35<17:20:23, 1.33step/s] Training: 17%|█▋ | 17063/100000 [3:27:35<16:35:28, 1.39step/s] Training: 17%|█▋ | 17064/100000 [3:27:36<16:58:43, 1.36step/s] Training: 17%|█▋ | 17065/100000 [3:27:37<16:12:36, 1.42step/s] Training: 17%|█▋ | 17066/100000 [3:27:37<15:33:47, 1.48step/s] Training: 17%|█▋ | 17067/100000 [3:27:38<16:01:26, 1.44step/s] Training: 17%|█▋ | 17068/100000 [3:27:39<16:34:10, 1.39step/s] Training: 17%|█▋ | 17069/100000 [3:27:39<16:19:30, 1.41step/s] Training: 17%|█▋ | 17070/100000 [3:27:40<16:34:58, 1.39step/s] Training: 17%|█▋ | 17071/100000 [3:27:41<15:59:29, 1.44step/s] Training: 17%|█▋ | 17072/100000 [3:27:42<16:27:06, 1.40step/s] Training: 17%|█▋ | 17073/100000 [3:27:42<15:48:56, 1.46step/s] Training: 17%|█▋ | 17074/100000 [3:27:43<15:15:19, 1.51step/s] Training: 17%|█▋ | 17075/100000 [3:27:44<16:09:22, 1.43step/s] Training: 17%|█▋ | 17076/100000 [3:27:44<16:41:30, 1.38step/s] Training: 17%|█▋ | 17077/100000 [3:27:45<16:32:37, 1.39step/s] Training: 17%|█▋ | 17078/100000 [3:27:46<16:30:55, 1.39step/s] Training: 17%|█▋ | 17079/100000 [3:27:46<15:51:44, 1.45step/s] Training: 17%|█▋ | 17080/100000 [3:27:47<16:16:27, 1.42step/s] Training: 17%|█▋ | 17081/100000 [3:27:48<15:34:41, 1.48step/s] Training: 17%|█▋ | 17082/100000 [3:27:48<15:15:33, 1.51step/s] Training: 17%|█▋ | 17083/100000 [3:27:49<16:19:23, 1.41step/s] Training: 17%|█▋ | 17084/100000 [3:27:50<16:54:13, 1.36step/s] Training: 17%|█▋ | 17085/100000 [3:27:51<16:10:13, 1.42step/s] Training: 17%|█▋ | 17086/100000 [3:27:51<16:26:47, 1.40step/s] Training: 17%|█▋ | 17087/100000 [3:27:52<15:49:43, 1.46step/s] Training: 17%|█▋ | 17088/100000 [3:27:53<16:19:13, 1.41step/s] Training: 17%|█▋ | 17089/100000 [3:27:54<16:39:51, 1.38step/s] Training: 17%|█▋ | 17090/100000 [3:27:54<15:53:55, 1.45step/s] Training: 17%|█▋ | 17091/100000 [3:27:55<16:55:05, 1.36step/s] Training: 17%|█▋ | 17092/100000 [3:27:56<17:00:20, 1.35step/s] Training: 17%|█▋ | 17093/100000 [3:27:56<17:13:30, 1.34step/s] Training: 17%|█▋ | 17094/100000 [3:27:57<17:26:32, 1.32step/s] Training: 17%|█▋ | 17095/100000 [3:27:58<16:33:47, 1.39step/s] Training: 17%|█▋ | 17096/100000 [3:27:59<16:50:19, 1.37step/s] Training: 17%|█▋ | 17097/100000 [3:27:59<16:49:18, 1.37step/s] Training: 17%|█▋ | 17098/100000 [3:28:00<16:06:03, 1.43step/s] Training: 17%|█▋ | 17099/100000 [3:28:01<16:33:19, 1.39step/s] Training: 17%|█▋ | 17100/100000 [3:28:02<16:58:31, 1.36step/s]INFO 2026-03-12 06:50:17 ot_train.py:435 step:17K smpl:1M ep:4K epch:14.49 loss:0.267 grdn:11.407 lr:1.9e-05 updt_s:0.704 data_s:0.012 Training: 17%|█▋ | 17101/100000 [3:28:02<16:43:50, 1.38step/s] Training: 17%|█▋ | 17102/100000 [3:28:03<16:58:23, 1.36step/s] Training: 17%|█▋ | 17103/100000 [3:28:04<16:16:56, 1.41step/s] Training: 17%|█▋ | 17104/100000 [3:28:04<16:42:53, 1.38step/s] Training: 17%|█▋ | 17105/100000 [3:28:05<15:56:39, 1.44step/s] Training: 17%|█▋ | 17106/100000 [3:28:06<17:20:41, 1.33step/s] Training: 17%|█▋ | 17107/100000 [3:28:07<17:34:40, 1.31step/s] Training: 17%|█▋ | 17108/100000 [3:28:08<17:48:03, 1.29step/s] Training: 17%|█▋ | 17109/100000 [3:28:08<17:22:15, 1.33step/s] Training: 17%|█▋ | 17110/100000 [3:28:09<17:01:17, 1.35step/s] Training: 17%|█▋ | 17111/100000 [3:28:10<16:19:26, 1.41step/s] Training: 17%|█▋ | 17112/100000 [3:28:10<16:20:00, 1.41step/s] Training: 17%|█▋ | 17113/100000 [3:28:11<16:44:32, 1.38step/s] Training: 17%|█▋ | 17114/100000 [3:28:12<16:04:19, 1.43step/s] Training: 17%|█▋ | 17115/100000 [3:28:12<16:37:51, 1.38step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=62866 Training: 17%|█▋ | 17116/100000 [3:28:13<17:21:20, 1.33step/s] Training: 17%|█▋ | 17117/100000 [3:28:14<16:21:16, 1.41step/s] Training: 17%|█▋ | 17118/100000 [3:28:15<16:53:05, 1.36step/s] Training: 17%|█▋ | 17119/100000 [3:28:15<16:03:02, 1.43step/s] Training: 17%|█▋ | 17120/100000 [3:28:16<16:30:14, 1.39step/s] Training: 17%|█▋ | 17121/100000 [3:28:17<15:50:44, 1.45step/s] Training: 17%|█▋ | 17122/100000 [3:28:17<16:23:07, 1.41step/s] Training: 17%|█▋ | 17123/100000 [3:28:18<16:43:41, 1.38step/s] Training: 17%|█▋ | 17124/100000 [3:28:19<17:11:25, 1.34step/s] Training: 17%|█▋ | 17125/100000 [3:28:20<17:25:47, 1.32step/s] Training: 17%|█▋ | 17126/100000 [3:28:21<17:47:56, 1.29step/s] Training: 17%|█▋ | 17127/100000 [3:28:21<16:48:43, 1.37step/s] Training: 17%|█▋ | 17128/100000 [3:28:22<17:04:12, 1.35step/s] Training: 17%|█▋ | 17129/100000 [3:28:23<16:19:42, 1.41step/s] Training: 17%|█▋ | 17130/100000 [3:28:23<17:05:49, 1.35step/s] Training: 17%|█▋ | 17131/100000 [3:28:24<16:54:15, 1.36step/s] Training: 17%|█▋ | 17132/100000 [3:28:25<17:18:34, 1.33step/s] Training: 17%|█▋ | 17133/100000 [3:28:26<17:00:26, 1.35step/s] Training: 17%|█▋ | 17134/100000 [3:28:26<17:06:06, 1.35step/s] Training: 17%|█▋ | 17135/100000 [3:28:27<16:17:21, 1.41step/s] Training: 17%|█▋ | 17136/100000 [3:28:28<16:28:28, 1.40step/s] Training: 17%|█▋ | 17137/100000 [3:28:28<15:48:19, 1.46step/s] Training: 17%|█▋ | 17138/100000 [3:28:29<15:50:42, 1.45step/s] Training: 17%|█▋ | 17139/100000 [3:28:30<16:38:36, 1.38step/s] Training: 17%|█▋ | 17140/100000 [3:28:31<17:03:48, 1.35step/s] Training: 17%|█▋ | 17141/100000 [3:28:31<17:09:34, 1.34step/s] Training: 17%|█▋ | 17142/100000 [3:28:32<16:51:12, 1.37step/s] Training: 17%|█▋ | 17143/100000 [3:28:33<16:07:32, 1.43step/s] Training: 17%|█▋ | 17144/100000 [3:28:33<16:07:17, 1.43step/s] Training: 17%|█▋ | 17145/100000 [3:28:34<15:34:44, 1.48step/s] Training: 17%|█▋ | 17146/100000 [3:28:35<16:19:35, 1.41step/s] Training: 17%|█▋ | 17147/100000 [3:28:36<16:33:21, 1.39step/s] Training: 17%|█▋ | 17148/100000 [3:28:36<16:53:57, 1.36step/s] Training: 17%|█▋ | 17149/100000 [3:28:37<16:05:51, 1.43step/s] Training: 17%|█▋ | 17150/100000 [3:28:38<16:27:15, 1.40step/s] Training: 17%|█▋ | 17151/100000 [3:28:38<15:48:42, 1.46step/s] Training: 17%|█▋ | 17152/100000 [3:28:39<16:19:51, 1.41step/s] Training: 17%|█▋ | 17153/100000 [3:28:40<15:40:59, 1.47step/s] Training: 17%|█▋ | 17154/100000 [3:28:40<15:51:40, 1.45step/s] Training: 17%|█▋ | 17155/100000 [3:28:41<16:11:18, 1.42step/s] Training: 17%|█▋ | 17156/100000 [3:28:42<16:29:13, 1.40step/s] Training: 17%|█▋ | 17157/100000 [3:28:43<16:21:16, 1.41step/s] Training: 17%|█▋ | 17158/100000 [3:28:43<16:44:19, 1.37step/s] Training: 17%|█▋ | 17159/100000 [3:28:44<15:57:16, 1.44step/s] Training: 17%|█▋ | 17160/100000 [3:28:45<16:17:06, 1.41step/s] Training: 17%|█▋ | 17161/100000 [3:28:45<15:44:35, 1.46step/s] Training: 17%|█▋ | 17162/100000 [3:28:46<15:20:29, 1.50step/s] Training: 17%|█▋ | 17163/100000 [3:28:47<16:00:51, 1.44step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=28547 Training: 17%|█▋ | 17164/100000 [3:28:48<16:31:59, 1.39step/s] Training: 17%|█▋ | 17165/100000 [3:28:48<16:49:19, 1.37step/s] Training: 17%|█▋ | 17166/100000 [3:28:49<17:03:04, 1.35step/s] Training: 17%|█▋ | 17167/100000 [3:28:50<16:05:08, 1.43step/s] Training: 17%|█▋ | 17168/100000 [3:28:50<16:25:53, 1.40step/s] Training: 17%|█▋ | 17169/100000 [3:28:51<15:52:08, 1.45step/s] Training: 17%|█▋ | 17170/100000 [3:28:52<15:30:30, 1.48step/s] Training: 17%|█▋ | 17171/100000 [3:28:52<16:13:33, 1.42step/s] Training: 17%|█▋ | 17172/100000 [3:28:53<16:47:52, 1.37step/s] Training: 17%|█▋ | 17173/100000 [3:28:54<17:12:33, 1.34step/s] Training: 17%|█▋ | 17174/100000 [3:28:55<17:11:54, 1.34step/s] Training: 17%|█▋ | 17175/100000 [3:28:55<16:15:52, 1.41step/s] Training: 17%|█▋ | 17176/100000 [3:28:56<16:25:25, 1.40step/s] Training: 17%|█▋ | 17177/100000 [3:28:57<15:52:30, 1.45step/s] Training: 17%|█▋ | 17178/100000 [3:28:57<15:19:23, 1.50step/s] Training: 17%|█▋ | 17179/100000 [3:28:58<16:29:07, 1.40step/s] Training: 17%|█▋ | 17180/100000 [3:28:59<16:46:56, 1.37step/s] Training: 17%|█▋ | 17181/100000 [3:29:00<16:48:53, 1.37step/s] Training: 17%|█▋ | 17182/100000 [3:29:00<16:54:30, 1.36step/s] Training: 17%|█▋ | 17183/100000 [3:29:01<16:13:55, 1.42step/s] Training: 17%|█▋ | 17184/100000 [3:29:02<16:37:44, 1.38step/s] Training: 17%|█▋ | 17185/100000 [3:29:03<16:03:28, 1.43step/s] Training: 17%|█▋ | 17186/100000 [3:29:03<15:36:27, 1.47step/s] Training: 17%|█▋ | 17187/100000 [3:29:04<16:22:08, 1.41step/s] Training: 17%|█▋ | 17188/100000 [3:29:05<16:25:48, 1.40step/s] Training: 17%|█▋ | 17189/100000 [3:29:05<16:43:58, 1.37step/s] Training: 17%|█▋ | 17190/100000 [3:29:06<16:52:46, 1.36step/s] Training: 17%|█▋ | 17191/100000 [3:29:07<16:08:17, 1.43step/s] Training: 17%|█▋ | 17192/100000 [3:29:08<16:31:16, 1.39step/s] Training: 17%|█▋ | 17193/100000 [3:29:08<15:51:28, 1.45step/s] Training: 17%|█▋ | 17194/100000 [3:29:09<15:27:16, 1.49step/s] Training: 17%|█▋ | 17195/100000 [3:29:10<15:52:29, 1.45step/s] Training: 17%|█▋ | 17196/100000 [3:29:10<16:41:37, 1.38step/s] Training: 17%|█▋ | 17197/100000 [3:29:11<17:06:49, 1.34step/s] Training: 17%|█▋ | 17198/100000 [3:29:12<17:15:44, 1.33step/s] Training: 17%|█▋ | 17199/100000 [3:29:13<16:27:06, 1.40step/s] Training: 17%|█▋ | 17200/100000 [3:29:13<16:54:06, 1.36step/s]INFO 2026-03-12 06:51:29 ot_train.py:435 step:17K smpl:1M ep:4K epch:14.58 loss:0.268 grdn:10.977 lr:1.9e-05 updt_s:0.703 data_s:0.013 Training: 17%|█▋ | 17201/100000 [3:29:14<16:10:02, 1.42step/s] Training: 17%|█▋ | 17202/100000 [3:29:15<15:28:11, 1.49step/s] Training: 17%|█▋ | 17203/100000 [3:29:15<16:34:13, 1.39step/s] Training: 17%|█▋ | 17204/100000 [3:29:16<16:55:44, 1.36step/s] Training: 17%|█▋ | 17205/100000 [3:29:17<17:18:35, 1.33step/s] Training: 17%|█▋ | 17206/100000 [3:29:18<17:23:16, 1.32step/s] Training: 17%|█▋ | 17207/100000 [3:29:18<16:28:03, 1.40step/s] Training: 17%|█▋ | 17208/100000 [3:29:19<16:38:20, 1.38step/s] Training: 17%|█▋ | 17209/100000 [3:29:20<15:48:27, 1.45step/s] Training: 17%|█▋ | 17210/100000 [3:29:20<15:22:33, 1.50step/s] Training: 17%|█▋ | 17211/100000 [3:29:21<16:07:38, 1.43step/s] Training: 17%|█▋ | 17212/100000 [3:29:22<16:47:58, 1.37step/s] Training: 17%|█▋ | 17213/100000 [3:29:23<17:05:12, 1.35step/s] Training: 17%|█▋ | 17214/100000 [3:29:23<17:04:55, 1.35step/s] Training: 17%|█▋ | 17215/100000 [3:29:24<16:19:11, 1.41step/s] Training: 17%|█▋ | 17216/100000 [3:29:25<16:51:16, 1.36step/s] Training: 17%|█▋ | 17217/100000 [3:29:25<16:07:06, 1.43step/s] Training: 17%|█▋ | 17218/100000 [3:29:26<15:35:05, 1.48step/s] Training: 17%|█▋ | 17219/100000 [3:29:27<15:55:25, 1.44step/s] Training: 17%|█▋ | 17220/100000 [3:29:28<16:33:24, 1.39step/s] Training: 17%|█▋ | 17221/100000 [3:29:28<16:49:25, 1.37step/s] Training: 17%|█▋ | 17222/100000 [3:29:29<17:09:31, 1.34step/s] Training: 17%|█▋ | 17223/100000 [3:29:30<16:25:50, 1.40step/s] Training: 17%|█▋ | 17224/100000 [3:29:30<16:48:09, 1.37step/s] Training: 17%|█▋ | 17225/100000 [3:29:31<16:04:43, 1.43step/s] Training: 17%|█▋ | 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1.44step/s] Training: 17%|█▋ | 17274/100000 [3:30:06<15:26:50, 1.49step/s] Training: 17%|█▋ | 17275/100000 [3:30:07<15:43:16, 1.46step/s] Training: 17%|█▋ | 17276/100000 [3:30:08<16:12:59, 1.42step/s] Training: 17%|█▋ | 17277/100000 [3:30:09<16:33:16, 1.39step/s] Training: 17%|█▋ | 17278/100000 [3:30:09<16:38:25, 1.38step/s] Training: 17%|█▋ | 17279/100000 [3:30:10<15:52:46, 1.45step/s] Training: 17%|█▋ | 17280/100000 [3:30:11<16:33:47, 1.39step/s] Training: 17%|█▋ | 17281/100000 [3:30:11<15:54:22, 1.44step/s] Training: 17%|█▋ | 17282/100000 [3:30:12<15:18:19, 1.50step/s] Training: 17%|█▋ | 17283/100000 [3:30:13<16:09:21, 1.42step/s] Training: 17%|█▋ | 17284/100000 [3:30:13<16:15:19, 1.41step/s] Training: 17%|█▋ | 17285/100000 [3:30:14<16:43:09, 1.37step/s] Training: 17%|█▋ | 17286/100000 [3:30:15<17:58:13, 1.28step/s] Training: 17%|█▋ | 17287/100000 [3:30:16<16:44:38, 1.37step/s] Training: 17%|█▋ | 17288/100000 [3:30:17<17:05:57, 1.34step/s] Training: 17%|█▋ | 17289/100000 [3:30:17<16:25:15, 1.40step/s] Training: 17%|█▋ | 17290/100000 [3:30:18<15:40:07, 1.47step/s] Training: 17%|█▋ | 17291/100000 [3:30:19<16:24:03, 1.40step/s] Training: 17%|█▋ | 17292/100000 [3:30:19<16:38:46, 1.38step/s] Training: 17%|█▋ | 17293/100000 [3:30:20<17:05:44, 1.34step/s] Training: 17%|█▋ | 17294/100000 [3:30:21<17:20:36, 1.32step/s] Training: 17%|█▋ | 17295/100000 [3:30:22<16:35:06, 1.39step/s] Training: 17%|█▋ | 17296/100000 [3:30:22<16:51:43, 1.36step/s] Training: 17%|█▋ | 17297/100000 [3:30:23<16:00:59, 1.43step/s] Training: 17%|█▋ | 17298/100000 [3:30:24<15:26:03, 1.49step/s] Training: 17%|█▋ | 17299/100000 [3:30:24<16:06:14, 1.43step/s] Training: 17%|█▋ | 17300/100000 [3:30:25<16:28:09, 1.39step/s]INFO 2026-03-12 06:52:41 ot_train.py:435 step:17K smpl:1M ep:4K epch:14.66 loss:0.265 grdn:11.378 lr:1.9e-05 updt_s:0.702 data_s:0.013 Training: 17%|█▋ | 17301/100000 [3:30:26<17:09:46, 1.34step/s] Training: 17%|█▋ | 17302/100000 [3:30:27<16:55:36, 1.36step/s] Training: 17%|█▋ | 17303/100000 [3:30:27<17:15:44, 1.33step/s] Training: 17%|█▋ | 17304/100000 [3:30:28<17:07:04, 1.34step/s] Training: 17%|█▋ | 17305/100000 [3:30:29<16:12:08, 1.42step/s] Training: 17%|█▋ | 17306/100000 [3:30:29<15:39:55, 1.47step/s] Training: 17%|█▋ | 17307/100000 [3:30:30<16:24:31, 1.40step/s] Training: 17%|█▋ | 17308/100000 [3:30:31<16:44:18, 1.37step/s] Training: 17%|█▋ | 17309/100000 [3:30:32<17:09:42, 1.34step/s] Training: 17%|█▋ | 17310/100000 [3:30:32<17:12:12, 1.34step/s] Training: 17%|█▋ | 17311/100000 [3:30:33<17:41:13, 1.30step/s] Training: 17%|█▋ | 17312/100000 [3:30:34<17:32:49, 1.31step/s] Training: 17%|█▋ | 17313/100000 [3:30:35<16:24:35, 1.40step/s] Training: 17%|█▋ | 17314/100000 [3:30:35<15:47:18, 1.45step/s] Training: 17%|█▋ | 17315/100000 [3:30:36<16:01:41, 1.43step/s] Training: 17%|█▋ | 17316/100000 [3:30:37<16:02:44, 1.43step/s] Training: 17%|█▋ | 17317/100000 [3:30:37<16:35:34, 1.38step/s] Training: 17%|█▋ | 17318/100000 [3:30:38<15:56:07, 1.44step/s] Training: 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[3:31:13<17:31:13, 1.31step/s] Training: 17%|█▋ | 17367/100000 [3:31:13<16:29:24, 1.39step/s] Training: 17%|█▋ | 17368/100000 [3:31:14<17:13:25, 1.33step/s] Training: 17%|█▋ | 17369/100000 [3:31:15<16:17:59, 1.41step/s] Training: 17%|█▋ | 17370/100000 [3:31:15<15:37:22, 1.47step/s] Training: 17%|█▋ | 17371/100000 [3:31:16<16:13:36, 1.41step/s] Training: 17%|█▋ | 17372/100000 [3:31:17<16:39:06, 1.38step/s] Training: 17%|█▋ | 17373/100000 [3:31:18<17:02:15, 1.35step/s] Training: 17%|█▋ | 17374/100000 [3:31:18<16:39:05, 1.38step/s] Training: 17%|█▋ | 17375/100000 [3:31:19<16:00:46, 1.43step/s] Training: 17%|█▋ | 17376/100000 [3:31:20<16:24:30, 1.40step/s] Training: 17%|█▋ | 17377/100000 [3:31:21<16:59:55, 1.35step/s] Training: 17%|█▋ | 17378/100000 [3:31:21<16:01:00, 1.43step/s] Training: 17%|█▋ | 17379/100000 [3:31:22<16:09:33, 1.42step/s] Training: 17%|█▋ | 17380/100000 [3:31:23<16:10:17, 1.42step/s] Training: 17%|█▋ | 17381/100000 [3:31:23<16:39:03, 1.38step/s] Training: 17%|█▋ | 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17%|█▋ | 17398/100000 [3:31:36<17:06:53, 1.34step/s] Training: 17%|█▋ | 17399/100000 [3:31:36<16:06:32, 1.42step/s] Training: 17%|█▋ | 17400/100000 [3:31:37<15:25:23, 1.49step/s]INFO 2026-03-12 06:53:53 ot_train.py:435 step:17K smpl:1M ep:4K epch:14.75 loss:0.279 grdn:11.305 lr:1.9e-05 updt_s:0.704 data_s:0.013 Training: 17%|█▋ | 17401/100000 [3:31:38<16:24:16, 1.40step/s] Training: 17%|█▋ | 17402/100000 [3:31:38<15:41:10, 1.46step/s] Training: 17%|█▋ | 17403/100000 [3:31:39<16:32:50, 1.39step/s] Training: 17%|█▋ | 17404/100000 [3:31:40<16:28:07, 1.39step/s] Training: 17%|█▋ | 17405/100000 [3:31:41<16:34:25, 1.38step/s] Training: 17%|█▋ | 17406/100000 [3:31:41<16:25:02, 1.40step/s] Training: 17%|█▋ | 17407/100000 [3:31:42<15:52:37, 1.45step/s] Training: 17%|█▋ | 17408/100000 [3:31:43<16:15:15, 1.41step/s] Training: 17%|█▋ | 17409/100000 [3:31:43<15:39:23, 1.47step/s] Training: 17%|█▋ | 17410/100000 [3:31:44<16:14:21, 1.41step/s] Training: 17%|█▋ | 17411/100000 [3:31:45<16:18:26, 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1.46step/s] Training: 17%|█▋ | 17491/100000 [3:32:42<16:12:59, 1.41step/s] Training: 17%|█▋ | 17492/100000 [3:32:43<17:21:12, 1.32step/s] Training: 17%|█▋ | 17493/100000 [3:32:44<17:26:57, 1.31step/s] Training: 17%|█▋ | 17494/100000 [3:32:45<17:03:40, 1.34step/s] Training: 17%|█▋ | 17495/100000 [3:32:45<16:17:36, 1.41step/s] Training: 17%|█▋ | 17496/100000 [3:32:46<15:40:18, 1.46step/s] Training: 17%|█▋ | 17497/100000 [3:32:47<16:08:10, 1.42step/s] Training: 17%|█▋ | 17498/100000 [3:32:47<15:35:58, 1.47step/s] Training: 17%|█▋ | 17499/100000 [3:32:48<16:28:13, 1.39step/s] Training: 18%|█▊ | 17500/100000 [3:32:49<16:31:05, 1.39step/s]INFO 2026-03-12 06:55:05 ot_train.py:435 step:18K smpl:1M ep:4K epch:14.83 loss:0.287 grdn:11.699 lr:1.9e-05 updt_s:0.704 data_s:0.013 Training: 18%|█▊ | 17501/100000 [3:32:50<16:54:42, 1.36step/s] Training: 18%|█▊ | 17502/100000 [3:32:50<16:44:36, 1.37step/s] Training: 18%|█▊ | 17503/100000 [3:32:51<16:00:54, 1.43step/s] Training: 18%|█▊ | 17504/100000 [3:32:52<16:20:41, 1.40step/s] Training: 18%|█▊ | 17505/100000 [3:32:52<15:46:06, 1.45step/s] Training: 18%|█▊ | 17506/100000 [3:32:53<15:18:39, 1.50step/s] Training: 18%|█▊ | 17507/100000 [3:32:54<15:46:01, 1.45step/s] Training: 18%|█▊ | 17508/100000 [3:32:55<16:39:53, 1.38step/s] Training: 18%|█▊ | 17509/100000 [3:32:55<17:01:06, 1.35step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=36468 Training: 18%|█▊ | 17510/100000 [3:32:56<16:57:44, 1.35step/s] Training: 18%|█▊ | 17511/100000 [3:32:57<16:11:44, 1.41step/s] Training: 18%|█▊ | 17512/100000 [3:32:57<16:24:44, 1.40step/s] Training: 18%|█▊ | 17513/100000 [3:32:58<15:40:34, 1.46step/s] Training: 18%|█▊ | 17514/100000 [3:32:59<15:17:53, 1.50step/s] Training: 18%|█▊ | 17515/100000 [3:32:59<15:37:06, 1.47step/s] Training: 18%|█▊ | 17516/100000 [3:33:00<16:06:58, 1.42step/s] Training: 18%|█▊ | 17517/100000 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[3:33:56<15:59:02, 1.43step/s] Training: 18%|█▊ | 17597/100000 [3:33:57<16:15:26, 1.41step/s] Training: 18%|█▊ | 17598/100000 [3:33:57<16:24:51, 1.39step/s] Training: 18%|█▊ | 17599/100000 [3:33:58<16:46:32, 1.36step/s] Training: 18%|█▊ | 17600/100000 [3:33:59<17:04:26, 1.34step/s]INFO 2026-03-12 06:56:15 ot_train.py:435 step:18K smpl:1M ep:4K epch:14.92 loss:0.286 grdn:11.755 lr:1.9e-05 updt_s:0.684 data_s:0.013 Training: 18%|█▊ | 17601/100000 [3:34:00<16:19:22, 1.40step/s] Training: 18%|█▊ | 17602/100000 [3:34:00<15:47:48, 1.45step/s] Training: 18%|█▊ | 17603/100000 [3:34:01<15:25:19, 1.48step/s] Training: 18%|█▊ | 17604/100000 [3:34:02<15:38:11, 1.46step/s] Training: 18%|█▊ | 17605/100000 [3:34:02<16:26:42, 1.39step/s] Training: 18%|█▊ | 17606/100000 [3:34:03<16:52:35, 1.36step/s] Training: 18%|█▊ | 17607/100000 [3:34:04<18:17:59, 1.25step/s] Training: 18%|█▊ | 17608/100000 [3:34:05<17:33:11, 1.30step/s] Training: 18%|█▊ | 17609/100000 [3:34:05<16:40:11, 1.37step/s] Training: 18%|█▊ 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Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 18%|█▊ | 17701/100000 [3:35:15<45:38:11, 2.00s/step] Training: 18%|█▊ | 17702/100000 [3:35:16<36:25:02, 1.59s/step] Training: 18%|█▊ | 17703/100000 [3:35:16<31:27:42, 1.38s/step] Training: 18%|█▊ | 17704/100000 [3:35:17<27:20:40, 1.20s/step] Training: 18%|█▊ | 17705/100000 [3:35:18<24:31:55, 1.07s/step] Training: 18%|█▊ | 17706/100000 [3:35:19<21:24:10, 1.07step/s] Training: 18%|█▊ | 17707/100000 [3:35:19<19:17:07, 1.19step/s] Training: 18%|█▊ | 17708/100000 [3:35:20<18:58:45, 1.20step/s] Training: 18%|█▊ | 17709/100000 [3:35:21<18:42:38, 1.22step/s] Training: 18%|█▊ | 17710/100000 [3:35:22<17:25:55, 1.31step/s] Training: 18%|█▊ | 17711/100000 [3:35:22<17:08:33, 1.33step/s] Training: 18%|█▊ | 17712/100000 [3:35:23<16:54:17, 1.35step/s] Training: 18%|█▊ | 17713/100000 [3:35:24<16:49:51, 1.36step/s] 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18%|█▊ | 17777/100000 [3:36:09<15:53:03, 1.44step/s] Training: 18%|█▊ | 17778/100000 [3:36:09<15:41:49, 1.46step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=49957 Training: 18%|█▊ | 17779/100000 [3:36:10<16:13:54, 1.41step/s] Training: 18%|█▊ | 17780/100000 [3:36:11<16:42:48, 1.37step/s] Training: 18%|█▊ | 17781/100000 [3:36:12<17:05:29, 1.34step/s] Training: 18%|█▊ | 17782/100000 [3:36:12<16:14:22, 1.41step/s] Training: 18%|█▊ | 17783/100000 [3:36:13<16:56:11, 1.35step/s] Training: 18%|█▊ | 17784/100000 [3:36:14<17:22:43, 1.31step/s] Training: 18%|█▊ | 17785/100000 [3:36:15<16:30:07, 1.38step/s] Training: 18%|█▊ | 17786/100000 [3:36:15<15:49:42, 1.44step/s] Training: 18%|█▊ | 17787/100000 [3:36:16<15:30:15, 1.47step/s] Training: 18%|█▊ | 17788/100000 [3:36:17<16:10:57, 1.41step/s] Training: 18%|█▊ | 17789/100000 [3:36:17<16:20:42, 1.40step/s] Training: 18%|█▊ | 17790/100000 [3:36:18<15:50:24, 1.44step/s] Training: 18%|█▊ | 17791/100000 [3:36:19<16:33:32, 1.38step/s] Training: 18%|█▊ | 17792/100000 [3:36:20<16:49:31, 1.36step/s] Training: 18%|█▊ | 17793/100000 [3:36:20<16:07:39, 1.42step/s] Training: 18%|█▊ | 17794/100000 [3:36:21<15:41:00, 1.46step/s] Training: 18%|█▊ | 17795/100000 [3:36:21<15:21:00, 1.49step/s] Training: 18%|█▊ | 17796/100000 [3:36:22<16:08:39, 1.41step/s] Training: 18%|█▊ | 17797/100000 [3:36:23<16:30:49, 1.38step/s] Training: 18%|█▊ | 17798/100000 [3:36:24<15:55:40, 1.43step/s] Training: 18%|█▊ | 17799/100000 [3:36:24<16:01:28, 1.42step/s] Training: 18%|█▊ | 17800/100000 [3:36:25<16:16:21, 1.40step/s]INFO 2026-03-12 06:58:41 ot_train.py:435 step:18K smpl:1M ep:4K epch:15.09 loss:0.238 grdn:11.774 lr:1.9e-05 updt_s:0.696 data_s:0.044 Training: 18%|█▊ | 17801/100000 [3:36:26<15:38:26, 1.46step/s] Training: 18%|█▊ | 17802/100000 [3:36:26<15:12:56, 1.50step/s] Training: 18%|█▊ | 17803/100000 [3:36:27<14:58:15, 1.53step/s] 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Training: 18%|█▊ | 17960/100000 [3:38:18<16:14:13, 1.40step/s] Training: 18%|█▊ | 17961/100000 [3:38:19<16:35:42, 1.37step/s] Training: 18%|█▊ | 17962/100000 [3:38:19<15:41:23, 1.45step/s] Training: 18%|█▊ | 17963/100000 [3:38:20<15:18:47, 1.49step/s] Training: 18%|█▊ | 17964/100000 [3:38:21<16:07:58, 1.41step/s] Training: 18%|█▊ | 17965/100000 [3:38:21<16:30:33, 1.38step/s] Training: 18%|█▊ | 17966/100000 [3:38:22<15:53:19, 1.43step/s] Training: 18%|█▊ | 17967/100000 [3:38:23<16:08:02, 1.41step/s] Training: 18%|█▊ | 17968/100000 [3:38:23<16:06:09, 1.42step/s] Training: 18%|█▊ | 17969/100000 [3:38:24<16:52:14, 1.35step/s] Training: 18%|█▊ | 17970/100000 [3:38:25<16:00:57, 1.42step/s] Training: 18%|█▊ | 17971/100000 [3:38:26<15:28:18, 1.47step/s] Training: 18%|█▊ | 17972/100000 [3:38:26<16:17:20, 1.40step/s] Training: 18%|█▊ | 17973/100000 [3:38:27<16:32:15, 1.38step/s] Training: 18%|█▊ | 17974/100000 [3:38:28<15:50:49, 1.44step/s] Training: 18%|█▊ | 17975/100000 [3:38:28<16:24:59, 1.39step/s] Training: 18%|█▊ | 17976/100000 [3:38:29<16:46:14, 1.36step/s] Training: 18%|█▊ | 17977/100000 [3:38:30<16:38:11, 1.37step/s] Training: 18%|█▊ | 17978/100000 [3:38:31<15:55:00, 1.43step/s] Training: 18%|█▊ | 17979/100000 [3:38:31<15:26:09, 1.48step/s] Training: 18%|█▊ | 17980/100000 [3:38:32<16:14:10, 1.40step/s] Training: 18%|█▊ | 17981/100000 [3:38:33<17:04:13, 1.33step/s] Training: 18%|█▊ | 17982/100000 [3:38:33<16:18:39, 1.40step/s] Training: 18%|█▊ | 17983/100000 [3:38:34<16:58:11, 1.34step/s] Training: 18%|█▊ | 17984/100000 [3:38:35<16:58:11, 1.34step/s] Training: 18%|█▊ | 17985/100000 [3:38:36<17:13:57, 1.32step/s] Training: 18%|█▊ | 17986/100000 [3:38:36<16:20:02, 1.39step/s] Training: 18%|█▊ | 17987/100000 [3:38:37<15:53:45, 1.43step/s] Training: 18%|█▊ | 17988/100000 [3:38:38<16:19:59, 1.39step/s] Training: 18%|█▊ | 17989/100000 [3:38:39<16:47:28, 1.36step/s] Training: 18%|█▊ | 17990/100000 [3:38:39<15:56:19, 1.43step/s] Training: 18%|█▊ | 17991/100000 [3:38:40<16:21:25, 1.39step/s] Training: 18%|█▊ | 17992/100000 [3:38:41<16:20:51, 1.39step/s] Training: 18%|█▊ | 17993/100000 [3:38:41<16:19:28, 1.40step/s] Training: 18%|█▊ | 17994/100000 [3:38:42<15:40:36, 1.45step/s] Training: 18%|█▊ | 17995/100000 [3:38:43<15:09:37, 1.50step/s] Training: 18%|█▊ | 17996/100000 [3:38:43<15:48:10, 1.44step/s] Training: 18%|█▊ | 17997/100000 [3:38:44<16:23:39, 1.39step/s] Training: 18%|█▊ | 17998/100000 [3:38:45<15:43:41, 1.45step/s] Training: 18%|█▊ | 17999/100000 [3:38:46<16:09:27, 1.41step/s] Training: 18%|█▊ | 18000/100000 [3:38:46<16:11:54, 1.41step/s]INFO 2026-03-12 07:01:02 ot_train.py:435 step:18K smpl:1M ep:4K epch:15.26 loss:0.248 grdn:10.358 lr:1.9e-05 updt_s:0.695 data_s:0.012 Training: 18%|█▊ | 18001/100000 [3:38:47<15:35:57, 1.46step/s] Training: 18%|█▊ | 18002/100000 [3:38:48<16:26:51, 1.38step/s] Training: 18%|█▊ | 18003/100000 [3:38:48<15:36:48, 1.46step/s] Training: 18%|█▊ | 18004/100000 [3:38:49<16:12:13, 1.41step/s] Training: 18%|█▊ | 18005/100000 [3:38:50<16:30:57, 1.38step/s] Training: 18%|█▊ | 18006/100000 [3:38:51<15:54:31, 1.43step/s] Training: 18%|█▊ | 18007/100000 [3:38:51<16:26:16, 1.39step/s] Training: 18%|█▊ | 18008/100000 [3:38:52<16:33:50, 1.38step/s] Training: 18%|█▊ | 18009/100000 [3:38:53<15:53:34, 1.43step/s] Training: 18%|█▊ | 18010/100000 [3:38:53<16:18:57, 1.40step/s] Training: 18%|█▊ | 18011/100000 [3:38:54<15:44:27, 1.45step/s] Training: 18%|█▊ | 18012/100000 [3:38:55<16:23:53, 1.39step/s] Training: 18%|█▊ | 18013/100000 [3:38:56<16:20:02, 1.39step/s] Training: 18%|█▊ | 18014/100000 [3:38:56<16:00:19, 1.42step/s] Training: 18%|█▊ | 18015/100000 [3:38:57<16:26:51, 1.38step/s] Training: 18%|█▊ | 18016/100000 [3:38:58<16:44:11, 1.36step/s] Training: 18%|█▊ | 18017/100000 [3:38:58<16:00:20, 1.42step/s] Training: 18%|█▊ | 18018/100000 [3:38:59<17:18:28, 1.32step/s] Training: 18%|█▊ | 18019/100000 [3:39:00<16:22:37, 1.39step/s] Training: 18%|█▊ | 18020/100000 [3:39:01<16:22:32, 1.39step/s] Training: 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Training: 18%|█▊ | 18037/100000 [3:39:13<16:39:27, 1.37step/s] Training: 18%|█▊ | 18038/100000 [3:39:13<15:56:58, 1.43step/s] Training: 18%|█▊ | 18039/100000 [3:39:14<16:33:14, 1.38step/s] Training: 18%|█▊ | 18040/100000 [3:39:15<17:16:00, 1.32step/s] Training: 18%|█▊ | 18041/100000 [3:39:16<16:26:32, 1.38step/s] Training: 18%|█▊ | 18042/100000 [3:39:16<15:40:42, 1.45step/s] Training: 18%|█▊ | 18043/100000 [3:39:17<16:28:38, 1.38step/s] Training: 18%|█▊ | 18044/100000 [3:39:18<16:45:47, 1.36step/s] Training: 18%|█▊ | 18045/100000 [3:39:19<16:45:54, 1.36step/s] Training: 18%|█▊ | 18046/100000 [3:39:19<16:10:20, 1.41step/s] Training: 18%|█▊ | 18047/100000 [3:39:20<16:43:20, 1.36step/s] Training: 18%|█▊ | 18048/100000 [3:39:21<16:56:34, 1.34step/s] Training: 18%|█▊ | 18049/100000 [3:39:21<15:58:23, 1.43step/s] Training: 18%|█▊ | 18050/100000 [3:39:22<15:30:11, 1.47step/s] Training: 18%|█▊ | 18051/100000 [3:39:23<16:14:31, 1.40step/s] Training: 18%|█▊ | 18052/100000 [3:39:24<16:19:44, 1.39step/s] Training: 18%|█▊ | 18053/100000 [3:39:24<16:49:39, 1.35step/s] Training: 18%|█▊ | 18054/100000 [3:39:25<16:10:24, 1.41step/s] Training: 18%|█▊ | 18055/100000 [3:39:26<16:32:12, 1.38step/s] Training: 18%|█▊ | 18056/100000 [3:39:26<16:40:59, 1.36step/s] Training: 18%|█▊ | 18057/100000 [3:39:27<16:00:22, 1.42step/s] Training: 18%|█▊ | 18058/100000 [3:39:28<15:20:25, 1.48step/s] Training: 18%|█▊ | 18059/100000 [3:39:28<16:00:48, 1.42step/s] Training: 18%|█▊ | 18060/100000 [3:39:29<16:13:05, 1.40step/s] Training: 18%|█▊ | 18061/100000 [3:39:30<16:55:25, 1.34step/s] Training: 18%|█▊ | 18062/100000 [3:39:31<16:08:03, 1.41step/s] Training: 18%|█▊ | 18063/100000 [3:39:31<16:20:45, 1.39step/s] Training: 18%|█▊ | 18064/100000 [3:39:32<16:15:21, 1.40step/s] Training: 18%|█▊ | 18065/100000 [3:39:33<15:36:58, 1.46step/s] Training: 18%|█▊ | 18066/100000 [3:39:33<15:18:11, 1.49step/s] Training: 18%|█▊ | 18067/100000 [3:39:34<15:47:06, 1.44step/s] Training: 18%|█▊ | 18068/100000 [3:39:35<16:20:44, 1.39step/s] Training: 18%|█▊ | 18069/100000 [3:39:36<16:37:42, 1.37step/s] Training: 18%|█▊ | 18070/100000 [3:39:36<17:02:08, 1.34step/s] Training: 18%|█▊ | 18071/100000 [3:39:37<17:11:44, 1.32step/s] Training: 18%|█▊ | 18072/100000 [3:39:38<17:06:34, 1.33step/s] Training: 18%|█▊ | 18073/100000 [3:39:39<16:16:33, 1.40step/s] Training: 18%|█▊ | 18074/100000 [3:39:39<15:38:54, 1.45step/s] Training: 18%|█▊ | 18075/100000 [3:39:40<15:04:13, 1.51step/s] Training: 18%|█▊ | 18076/100000 [3:39:41<15:47:16, 1.44step/s] Training: 18%|█▊ | 18077/100000 [3:39:41<15:52:53, 1.43step/s] Training: 18%|█▊ | 18078/100000 [3:39:42<16:38:43, 1.37step/s] Training: 18%|█▊ | 18079/100000 [3:39:43<16:50:28, 1.35step/s] Training: 18%|█▊ | 18080/100000 [3:39:44<17:04:39, 1.33step/s] Training: 18%|█▊ | 18081/100000 [3:39:44<16:11:26, 1.41step/s] Training: 18%|█▊ | 18082/100000 [3:39:45<15:26:51, 1.47step/s] Training: 18%|█▊ | 18083/100000 [3:39:45<14:57:41, 1.52step/s] Training: 18%|█▊ | 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18%|█▊ | 18100/100000 [3:39:57<15:55:25, 1.43step/s]INFO 2026-03-12 07:02:13 ot_train.py:435 step:18K smpl:1M ep:4K epch:15.34 loss:0.252 grdn:11.025 lr:1.9e-05 updt_s:0.697 data_s:0.012 Training: 18%|█▊ | 18101/100000 [3:39:58<17:08:01, 1.33step/s] Training: 18%|█▊ | 18102/100000 [3:39:59<17:11:40, 1.32step/s] Training: 18%|█▊ | 18103/100000 [3:40:00<17:23:18, 1.31step/s] Training: 18%|█▊ | 18104/100000 [3:40:01<17:09:34, 1.33step/s] Training: 18%|█▊ | 18105/100000 [3:40:01<16:22:03, 1.39step/s] Training: 18%|█▊ | 18106/100000 [3:40:02<15:49:54, 1.44step/s] Training: 18%|█▊ | 18107/100000 [3:40:02<15:15:30, 1.49step/s] Training: 18%|█▊ | 18108/100000 [3:40:03<15:50:56, 1.44step/s] Training: 18%|█▊ | 18109/100000 [3:40:04<16:32:33, 1.38step/s] Training: 18%|█▊ | 18110/100000 [3:40:05<16:22:07, 1.39step/s] Training: 18%|█▊ | 18111/100000 [3:40:06<16:42:17, 1.36step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=16335 Training: 18%|█▊ | 18112/100000 [3:40:06<16:50:52, 1.35step/s] Training: 18%|█▊ | 18113/100000 [3:40:07<16:01:45, 1.42step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=63936 Training: 18%|█▊ | 18114/100000 [3:40:08<15:31:55, 1.46step/s] Training: 18%|█▊ | 18115/100000 [3:40:08<15:19:11, 1.48step/s] Training: 18%|█▊ | 18116/100000 [3:40:09<15:32:48, 1.46step/s] Training: 18%|█▊ | 18117/100000 [3:40:10<16:11:07, 1.41step/s] Training: 18%|█▊ | 18118/100000 [3:40:10<16:34:09, 1.37step/s] Training: 18%|█▊ | 18119/100000 [3:40:11<17:15:32, 1.32step/s] Training: 18%|█▊ | 18120/100000 [3:40:12<17:13:19, 1.32step/s] Training: 18%|█▊ | 18121/100000 [3:40:13<16:08:45, 1.41step/s] Training: 18%|█▊ | 18122/100000 [3:40:13<15:31:18, 1.47step/s] Training: 18%|█▊ | 18123/100000 [3:40:14<15:08:23, 1.50step/s] Training: 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1.54step/s] Training: 18%|█▊ | 18156/100000 [3:40:37<15:23:39, 1.48step/s] Training: 18%|█▊ | 18157/100000 [3:40:38<16:00:59, 1.42step/s] Training: 18%|█▊ | 18158/100000 [3:40:39<16:27:45, 1.38step/s] Training: 18%|█▊ | 18159/100000 [3:40:39<16:44:45, 1.36step/s] Training: 18%|█▊ | 18160/100000 [3:40:40<16:25:23, 1.38step/s] Training: 18%|█▊ | 18161/100000 [3:40:41<15:47:44, 1.44step/s] Training: 18%|█▊ | 18162/100000 [3:40:41<15:17:02, 1.49step/s] Training: 18%|█▊ | 18163/100000 [3:40:42<14:56:12, 1.52step/s] Training: 18%|█▊ | 18164/100000 [3:40:43<15:50:06, 1.44step/s] Training: 18%|█▊ | 18165/100000 [3:40:44<16:23:46, 1.39step/s] Training: 18%|█▊ | 18166/100000 [3:40:44<16:55:15, 1.34step/s] Training: 18%|█▊ | 18167/100000 [3:40:45<17:11:52, 1.32step/s] Training: 18%|█▊ | 18168/100000 [3:40:46<16:21:18, 1.39step/s] Training: 18%|█▊ | 18169/100000 [3:40:47<16:44:51, 1.36step/s] Training: 18%|█▊ | 18170/100000 [3:40:47<16:04:41, 1.41step/s] Training: 18%|█▊ | 18171/100000 [3:40:48<15:27:46, 1.47step/s] Training: 18%|█▊ | 18172/100000 [3:40:49<16:28:18, 1.38step/s] Training: 18%|█▊ | 18173/100000 [3:40:49<16:36:49, 1.37step/s] Training: 18%|█▊ | 18174/100000 [3:40:50<16:53:44, 1.35step/s] Training: 18%|█▊ | 18175/100000 [3:40:51<17:21:34, 1.31step/s] Training: 18%|█▊ | 18176/100000 [3:40:52<17:12:34, 1.32step/s] Training: 18%|█▊ | 18177/100000 [3:40:52<16:12:11, 1.40step/s] Training: 18%|█▊ | 18178/100000 [3:40:53<15:37:39, 1.45step/s] Training: 18%|█▊ | 18179/100000 [3:40:54<15:15:06, 1.49step/s] Training: 18%|█▊ | 18180/100000 [3:40:54<15:42:18, 1.45step/s] Training: 18%|█▊ | 18181/100000 [3:40:55<16:15:11, 1.40step/s] Training: 18%|█▊ | 18182/100000 [3:40:56<16:23:18, 1.39step/s] Training: 18%|█▊ | 18183/100000 [3:40:57<17:07:02, 1.33step/s] Training: 18%|█▊ | 18184/100000 [3:40:57<16:58:55, 1.34step/s] Training: 18%|█▊ | 18185/100000 [3:40:58<16:07:23, 1.41step/s] Training: 18%|█▊ | 18186/100000 [3:40:59<15:36:52, 1.46step/s] Training: 18%|█▊ | 18187/100000 [3:40:59<15:09:17, 1.50step/s] Training: 18%|█▊ | 18188/100000 [3:41:00<15:41:57, 1.45step/s] Training: 18%|█▊ | 18189/100000 [3:41:01<16:11:47, 1.40step/s] Training: 18%|█▊ | 18190/100000 [3:41:02<16:35:17, 1.37step/s] Training: 18%|█▊ | 18191/100000 [3:41:02<16:31:33, 1.38step/s] Training: 18%|█▊ | 18192/100000 [3:41:03<16:28:00, 1.38step/s] Training: 18%|█▊ | 18193/100000 [3:41:04<15:45:41, 1.44step/s] Training: 18%|█▊ | 18194/100000 [3:41:04<15:18:00, 1.49step/s] Training: 18%|█▊ | 18195/100000 [3:41:05<15:05:13, 1.51step/s] Training: 18%|█▊ | 18196/100000 [3:41:06<15:51:57, 1.43step/s] Training: 18%|█▊ | 18197/100000 [3:41:06<16:09:25, 1.41step/s] Training: 18%|█▊ | 18198/100000 [3:41:07<16:32:58, 1.37step/s] Training: 18%|█▊ | 18199/100000 [3:41:08<16:58:26, 1.34step/s] Training: 18%|█▊ | 18200/100000 [3:41:09<16:13:51, 1.40step/s]INFO 2026-03-12 07:03:25 ot_train.py:435 step:18K smpl:1M ep:4K epch:15.43 loss:0.239 grdn:10.830 lr:1.8e-05 updt_s:0.697 data_s:0.013 Training: 18%|█▊ | 18201/100000 [3:41:09<16:13:40, 1.40step/s] Training: 18%|█▊ | 18202/100000 [3:41:10<15:35:09, 1.46step/s] Training: 18%|█▊ | 18203/100000 [3:41:11<15:13:24, 1.49step/s] Training: 18%|█▊ | 18204/100000 [3:41:11<15:35:08, 1.46step/s] Training: 18%|█▊ | 18205/100000 [3:41:12<15:51:05, 1.43step/s] Training: 18%|█▊ | 18206/100000 [3:41:13<16:25:20, 1.38step/s] Training: 18%|█▊ | 18207/100000 [3:41:14<16:35:44, 1.37step/s] Training: 18%|█▊ | 18208/100000 [3:41:14<16:37:30, 1.37step/s] Training: 18%|█▊ | 18209/100000 [3:41:15<15:53:05, 1.43step/s] Training: 18%|█▊ | 18210/100000 [3:41:16<15:26:26, 1.47step/s] Training: 18%|█▊ | 18211/100000 [3:41:16<14:56:25, 1.52step/s] Training: 18%|█▊ | 18212/100000 [3:41:17<15:28:44, 1.47step/s] Training: 18%|█▊ | 18213/100000 [3:41:18<15:59:27, 1.42step/s] Training: 18%|█▊ | 18214/100000 [3:41:18<16:18:37, 1.39step/s] Training: 18%|█▊ | 18215/100000 [3:41:19<16:42:50, 1.36step/s] Training: 18%|█▊ | 18216/100000 [3:41:20<17:06:01, 1.33step/s] Training: 18%|█▊ | 18217/100000 [3:41:21<16:15:48, 1.40step/s] Training: 18%|█▊ | 18218/100000 [3:41:21<15:41:17, 1.45step/s] Training: 18%|█▊ | 18219/100000 [3:41:22<15:21:19, 1.48step/s] Training: 18%|█▊ | 18220/100000 [3:41:23<15:48:35, 1.44step/s] Training: 18%|█▊ | 18221/100000 [3:41:23<16:20:20, 1.39step/s] Training: 18%|█▊ | 18222/100000 [3:41:24<16:42:42, 1.36step/s] Training: 18%|█▊ | 18223/100000 [3:41:25<16:35:17, 1.37step/s] Training: 18%|█▊ | 18224/100000 [3:41:26<17:33:48, 1.29step/s] Training: 18%|█▊ | 18225/100000 [3:41:26<16:33:29, 1.37step/s] Training: 18%|█▊ | 18226/100000 [3:41:27<15:53:13, 1.43step/s] Training: 18%|█▊ | 18227/100000 [3:41:28<15:32:12, 1.46step/s] Training: 18%|█▊ | 18228/100000 [3:41:28<16:19:02, 1.39step/s] Training: 18%|█▊ | 18229/100000 [3:41:29<16:56:08, 1.34step/s] Training: 18%|█▊ | 18230/100000 [3:41:30<17:19:59, 1.31step/s] Training: 18%|█▊ | 18231/100000 [3:41:31<17:22:17, 1.31step/s] Training: 18%|█▊ | 18232/100000 [3:41:32<17:38:21, 1.29step/s] Training: 18%|█▊ | 18233/100000 [3:41:32<16:26:26, 1.38step/s] Training: 18%|█▊ | 18234/100000 [3:41:33<15:45:31, 1.44step/s] Training: 18%|█▊ | 18235/100000 [3:41:33<15:23:40, 1.48step/s] Training: 18%|█▊ | 18236/100000 [3:41:34<15:43:28, 1.44step/s] Training: 18%|█▊ | 18237/100000 [3:41:35<16:00:40, 1.42step/s] Training: 18%|█▊ | 18238/100000 [3:41:36<16:20:59, 1.39step/s] Training: 18%|█▊ | 18239/100000 [3:41:37<16:54:57, 1.34step/s] Training: 18%|█▊ | 18240/100000 [3:41:37<17:10:14, 1.32step/s] Training: 18%|█▊ | 18241/100000 [3:41:38<16:21:29, 1.39step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=63936 Training: 18%|█▊ | 18242/100000 [3:41:39<15:35:27, 1.46step/s] Training: 18%|█▊ | 18243/100000 [3:41:39<15:07:28, 1.50step/s] Training: 18%|█▊ | 18244/100000 [3:41:40<15:31:07, 1.46step/s] Training: 18%|█▊ | 18245/100000 [3:41:41<16:13:09, 1.40step/s] Training: 18%|█▊ | 18246/100000 [3:41:41<16:31:46, 1.37step/s] Training: 18%|█▊ | 18247/100000 [3:41:42<16:42:16, 1.36step/s] Training: 18%|█▊ | 18248/100000 [3:41:43<17:02:19, 1.33step/s] Training: 18%|█▊ | 18249/100000 [3:41:44<17:11:00, 1.32step/s] Training: 18%|█▊ | 18250/100000 [3:41:44<16:16:33, 1.40step/s] Training: 18%|█▊ | 18251/100000 [3:41:45<15:33:02, 1.46step/s] Training: 18%|█▊ | 18252/100000 [3:41:46<16:04:32, 1.41step/s] Training: 18%|█▊ | 18253/100000 [3:41:47<16:31:46, 1.37step/s] Training: 18%|█▊ | 18254/100000 [3:41:47<16:42:33, 1.36step/s] Training: 18%|█▊ | 18255/100000 [3:41:48<16:31:23, 1.37step/s] Training: 18%|█▊ | 18256/100000 [3:41:49<16:23:44, 1.38step/s] Training: 18%|█▊ | 18257/100000 [3:41:49<16:41:24, 1.36step/s] Training: 18%|█▊ | 18258/100000 [3:41:50<15:45:24, 1.44step/s] Training: 18%|█▊ | 18259/100000 [3:41:51<15:20:32, 1.48step/s] Training: 18%|█▊ | 18260/100000 [3:41:51<15:56:36, 1.42step/s] Training: 18%|█▊ | 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Training: 18%|█▊ | 18293/100000 [3:42:15<17:03:26, 1.33step/s] Training: 18%|█▊ | 18294/100000 [3:42:16<17:14:50, 1.32step/s] Training: 18%|█▊ | 18295/100000 [3:42:17<17:26:53, 1.30step/s] Training: 18%|█▊ | 18296/100000 [3:42:18<16:21:09, 1.39step/s] Training: 18%|█▊ | 18297/100000 [3:42:18<16:50:10, 1.35step/s] Training: 18%|█▊ | 18298/100000 [3:42:19<16:54:18, 1.34step/s] Training: 18%|█▊ | 18299/100000 [3:42:20<16:12:46, 1.40step/s] Training: 18%|█▊ | 18300/100000 [3:42:20<16:15:13, 1.40step/s]INFO 2026-03-12 07:04:36 ot_train.py:435 step:18K smpl:1M ep:4K epch:15.51 loss:0.254 grdn:11.670 lr:1.8e-05 updt_s:0.704 data_s:0.012 Training: 18%|█▊ | 18301/100000 [3:42:21<16:36:58, 1.37step/s] Training: 18%|█▊ | 18302/100000 [3:42:22<16:39:51, 1.36step/s] Training: 18%|█▊ | 18303/100000 [3:42:23<16:47:58, 1.35step/s] Training: 18%|█▊ | 18304/100000 [3:42:23<16:46:38, 1.35step/s] Training: 18%|█▊ | 18305/100000 [3:42:24<15:50:56, 1.43step/s] Training: 18%|█▊ | 18306/100000 [3:42:25<16:29:39, 1.38step/s] Training: 18%|█▊ | 18307/100000 [3:42:25<15:37:04, 1.45step/s] Training: 18%|█▊ | 18308/100000 [3:42:26<16:04:46, 1.41step/s] Training: 18%|█▊ | 18309/100000 [3:42:27<16:32:52, 1.37step/s] Training: 18%|█▊ | 18310/100000 [3:42:28<16:45:36, 1.35step/s] Training: 18%|█▊ | 18311/100000 [3:42:28<17:01:02, 1.33step/s] Training: 18%|█▊ | 18312/100000 [3:42:29<16:58:01, 1.34step/s] Training: 18%|█▊ | 18313/100000 [3:42:30<16:08:47, 1.41step/s] Training: 18%|█▊ | 18314/100000 [3:42:31<16:26:46, 1.38step/s] Training: 18%|█▊ | 18315/100000 [3:42:31<15:42:35, 1.44step/s] Training: 18%|█▊ | 18316/100000 [3:42:32<16:13:14, 1.40step/s] Training: 18%|█▊ | 18317/100000 [3:42:33<16:29:08, 1.38step/s] Training: 18%|█▊ | 18318/100000 [3:42:34<16:49:34, 1.35step/s] Training: 18%|█▊ | 18319/100000 [3:42:34<16:47:39, 1.35step/s] Training: 18%|█▊ | 18320/100000 [3:42:35<16:41:36, 1.36step/s] Training: 18%|█▊ | 18321/100000 [3:42:36<15:59:00, 1.42step/s] Training: 18%|█▊ | 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1.46step/s] Training: 18%|█▊ | 18370/100000 [3:43:11<15:07:24, 1.50step/s] Training: 18%|█▊ | 18371/100000 [3:43:11<14:52:57, 1.52step/s] Training: 18%|█▊ | 18372/100000 [3:43:12<15:31:49, 1.46step/s] Training: 18%|█▊ | 18373/100000 [3:43:13<15:58:43, 1.42step/s] Training: 18%|█▊ | 18374/100000 [3:43:14<16:26:17, 1.38step/s] Training: 18%|█▊ | 18375/100000 [3:43:15<16:54:27, 1.34step/s] Training: 18%|█▊ | 18376/100000 [3:43:15<16:39:01, 1.36step/s] Training: 18%|█▊ | 18377/100000 [3:43:16<15:56:13, 1.42step/s] Training: 18%|█▊ | 18378/100000 [3:43:17<15:31:56, 1.46step/s] Training: 18%|█▊ | 18379/100000 [3:43:17<15:10:44, 1.49step/s] Training: 18%|█▊ | 18380/100000 [3:43:18<15:53:27, 1.43step/s] Training: 18%|█▊ | 18381/100000 [3:43:19<16:06:24, 1.41step/s] Training: 18%|█▊ | 18382/100000 [3:43:19<16:35:49, 1.37step/s] Training: 18%|█▊ | 18383/100000 [3:43:20<16:29:59, 1.37step/s] Training: 18%|█▊ | 18384/100000 [3:43:21<16:32:38, 1.37step/s] Training: 18%|█▊ | 18385/100000 [3:43:22<15:51:03, 1.43step/s] Training: 18%|█▊ | 18386/100000 [3:43:22<15:24:50, 1.47step/s] Training: 18%|█▊ | 18387/100000 [3:43:23<15:02:51, 1.51step/s] Training: 18%|█▊ | 18388/100000 [3:43:24<15:39:43, 1.45step/s] Training: 18%|█▊ | 18389/100000 [3:43:24<16:28:19, 1.38step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=17286 Training: 18%|█▊ | 18390/100000 [3:43:25<16:40:27, 1.36step/s] Training: 18%|█▊ | 18391/100000 [3:43:26<16:51:33, 1.34step/s] Training: 18%|█▊ | 18392/100000 [3:43:27<16:10:52, 1.40step/s] Training: 18%|█▊ | 18393/100000 [3:43:27<16:22:12, 1.38step/s] Training: 18%|█▊ | 18394/100000 [3:43:28<15:44:12, 1.44step/s] Training: 18%|█▊ | 18395/100000 [3:43:29<15:12:28, 1.49step/s] Training: 18%|█▊ | 18396/100000 [3:43:29<16:03:46, 1.41step/s] Training: 18%|█▊ | 18397/100000 [3:43:30<16:41:05, 1.36step/s] Training: 18%|█▊ | 18398/100000 [3:43:31<17:00:31, 1.33step/s] Training: 18%|█▊ | 18399/100000 [3:43:32<16:56:11, 1.34step/s] Training: 18%|█▊ | 18400/100000 [3:43:32<16:48:48, 1.35step/s]INFO 2026-03-12 07:05:48 ot_train.py:435 step:18K smpl:1M ep:4K epch:15.60 loss:0.256 grdn:11.319 lr:1.8e-05 updt_s:0.705 data_s:0.012 Training: 18%|█▊ | 18401/100000 [3:43:33<15:53:12, 1.43step/s] Training: 18%|█▊ | 18402/100000 [3:43:34<15:23:28, 1.47step/s] Training: 18%|█▊ | 18403/100000 [3:43:34<15:03:11, 1.51step/s] Training: 18%|█▊ | 18404/100000 [3:43:35<15:37:33, 1.45step/s] Training: 18%|█▊ | 18405/100000 [3:43:36<16:06:06, 1.41step/s] Training: 18%|█▊ | 18406/100000 [3:43:36<16:27:56, 1.38step/s] Training: 18%|█▊ | 18407/100000 [3:43:37<16:44:14, 1.35step/s] Training: 18%|█▊ | 18408/100000 [3:43:38<16:40:37, 1.36step/s] Training: 18%|█▊ | 18409/100000 [3:43:39<15:55:05, 1.42step/s] Training: 18%|█▊ | 18410/100000 [3:43:39<15:24:29, 1.47step/s] Training: 18%|█▊ | 18411/100000 [3:43:40<14:58:41, 1.51step/s] Training: 18%|█▊ | 18412/100000 [3:43:41<15:36:05, 1.45step/s] Training: 18%|█▊ | 18413/100000 [3:43:41<16:25:30, 1.38step/s] Training: 18%|█▊ | 18414/100000 [3:43:42<16:53:05, 1.34step/s] Training: 18%|█▊ | 18415/100000 [3:43:43<16:57:29, 1.34step/s] Training: 18%|█▊ | 18416/100000 [3:43:44<16:48:17, 1.35step/s] Training: 18%|█▊ | 18417/100000 [3:43:44<16:09:51, 1.40step/s] Training: 18%|█▊ | 18418/100000 [3:43:45<15:37:25, 1.45step/s] Training: 18%|█▊ | 18419/100000 [3:43:46<15:14:33, 1.49step/s] Training: 18%|█▊ | 18420/100000 [3:43:46<15:50:09, 1.43step/s] Training: 18%|█▊ | 18421/100000 [3:43:47<16:18:22, 1.39step/s] Training: 18%|█▊ | 18422/100000 [3:43:48<16:22:24, 1.38step/s] Training: 18%|█▊ | 18423/100000 [3:43:49<16:55:35, 1.34step/s] Training: 18%|█▊ | 18424/100000 [3:43:49<16:11:34, 1.40step/s] Training: 18%|█▊ | 18425/100000 [3:43:50<16:27:56, 1.38step/s] Training: 18%|█▊ | 18426/100000 [3:43:51<15:45:46, 1.44step/s] Training: 18%|█▊ | 18427/100000 [3:43:51<15:19:06, 1.48step/s] Training: 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[3:44:25<15:20:50, 1.48step/s] Training: 18%|█▊ | 18476/100000 [3:44:26<16:05:44, 1.41step/s] Training: 18%|█▊ | 18477/100000 [3:44:27<16:26:25, 1.38step/s] Training: 18%|█▊ | 18478/100000 [3:44:28<16:58:34, 1.33step/s] Training: 18%|█▊ | 18479/100000 [3:44:28<17:00:36, 1.33step/s] Training: 18%|█▊ | 18480/100000 [3:44:29<16:45:45, 1.35step/s] Training: 18%|█▊ | 18481/100000 [3:44:30<16:13:38, 1.40step/s] Training: 18%|█▊ | 18482/100000 [3:44:30<15:43:15, 1.44step/s] Training: 18%|█▊ | 18483/100000 [3:44:31<15:22:55, 1.47step/s] Training: 18%|█▊ | 18484/100000 [3:44:32<16:01:11, 1.41step/s] Training: 18%|█▊ | 18485/100000 [3:44:33<16:37:00, 1.36step/s] Training: 18%|█▊ | 18486/100000 [3:44:33<16:35:14, 1.37step/s] Training: 18%|█▊ | 18487/100000 [3:44:34<16:55:04, 1.34step/s] Training: 18%|█▊ | 18488/100000 [3:44:35<16:05:08, 1.41step/s] Training: 18%|█▊ | 18489/100000 [3:44:36<16:17:15, 1.39step/s] Training: 18%|█▊ | 18490/100000 [3:44:36<15:40:05, 1.45step/s] Training: 18%|█▊ | 18491/100000 [3:44:37<15:02:59, 1.50step/s] Training: 18%|█▊ | 18492/100000 [3:44:37<15:27:42, 1.46step/s] Training: 18%|█▊ | 18493/100000 [3:44:38<15:43:10, 1.44step/s] Training: 18%|█▊ | 18494/100000 [3:44:39<16:03:01, 1.41step/s] Training: 18%|█▊ | 18495/100000 [3:44:40<16:33:12, 1.37step/s] Training: 18%|█▊ | 18496/100000 [3:44:41<17:03:44, 1.33step/s] Training: 18%|█▊ | 18497/100000 [3:44:41<16:07:41, 1.40step/s] Training: 18%|█▊ | 18498/100000 [3:44:42<15:34:32, 1.45step/s] Training: 18%|█▊ | 18499/100000 [3:44:42<15:07:27, 1.50step/s] Training: 18%|█▊ | 18500/100000 [3:44:43<15:28:23, 1.46step/s]INFO 2026-03-12 07:06:59 ot_train.py:435 step:18K smpl:1M ep:4K epch:15.68 loss:0.261 grdn:11.005 lr:1.8e-05 updt_s:0.693 data_s:0.013 Training: 19%|█▊ | 18501/100000 [3:44:44<16:05:49, 1.41step/s] Training: 19%|█▊ | 18502/100000 [3:44:45<16:24:56, 1.38step/s] Training: 19%|█▊ | 18503/100000 [3:44:45<16:52:14, 1.34step/s] Training: 19%|█▊ | 18504/100000 [3:44:46<16:52:52, 1.34step/s] Training: 19%|█▊ | 18505/100000 [3:44:47<15:55:53, 1.42step/s] Training: 19%|█▊ | 18506/100000 [3:44:47<15:30:50, 1.46step/s] Training: 19%|█▊ | 18507/100000 [3:44:48<15:03:02, 1.50step/s] Training: 19%|█▊ | 18508/100000 [3:44:49<15:47:27, 1.43step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=13784 Training: 19%|█▊ | 18509/100000 [3:44:50<16:12:08, 1.40step/s] Training: 19%|█▊ | 18510/100000 [3:44:50<16:39:11, 1.36step/s] Training: 19%|█▊ | 18511/100000 [3:44:51<16:31:41, 1.37step/s] Training: 19%|█▊ | 18512/100000 [3:44:52<16:43:48, 1.35step/s] Training: 19%|█▊ | 18513/100000 [3:44:52<15:53:42, 1.42step/s] Training: 19%|█▊ | 18514/100000 [3:44:53<15:24:20, 1.47step/s] Training: 19%|█▊ | 18515/100000 [3:44:54<15:04:15, 1.50step/s] Training: 19%|█▊ | 18516/100000 [3:44:55<15:44:14, 1.44step/s] Training: 19%|█▊ | 18517/100000 [3:44:55<15:49:44, 1.43step/s] Training: 19%|█▊ | 18518/100000 [3:44:56<15:56:07, 1.42step/s] Training: 19%|█▊ | 18519/100000 [3:44:57<16:12:52, 1.40step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=16335 Training: 19%|█▊ | 18520/100000 [3:44:57<16:34:51, 1.37step/s] Training: 19%|█▊ | 18521/100000 [3:44:58<15:49:06, 1.43step/s] Training: 19%|█▊ | 18522/100000 [3:44:59<15:11:05, 1.49step/s] Training: 19%|█▊ | 18523/100000 [3:44:59<14:51:48, 1.52step/s] Training: 19%|█▊ | 18524/100000 [3:45:00<15:17:20, 1.48step/s] Training: 19%|█▊ | 18525/100000 [3:45:01<15:29:32, 1.46step/s] Training: 19%|█▊ | 18526/100000 [3:45:01<15:54:58, 1.42step/s] Training: 19%|█▊ | 18527/100000 [3:45:02<16:22:09, 1.38step/s] Training: 19%|█▊ | 18528/100000 [3:45:03<16:52:53, 1.34step/s] Training: 19%|█▊ | 18529/100000 [3:45:04<15:54:13, 1.42step/s] Training: 19%|█▊ | 18530/100000 [3:45:04<15:20:39, 1.47step/s] Training: 19%|█▊ | 18531/100000 [3:45:05<14:58:10, 1.51step/s] Training: 19%|█▊ | 18532/100000 [3:45:06<15:18:10, 1.48step/s] Training: 19%|█▊ | 18533/100000 [3:45:06<15:55:31, 1.42step/s] Training: 19%|█▊ | 18534/100000 [3:45:07<16:39:06, 1.36step/s] Training: 19%|█▊ | 18535/100000 [3:45:08<17:12:46, 1.31step/s] Training: 19%|█▊ | 18536/100000 [3:45:09<17:19:24, 1.31step/s] Training: 19%|█▊ | 18537/100000 [3:45:09<16:13:00, 1.40step/s] Training: 19%|█▊ | 18538/100000 [3:45:10<15:42:49, 1.44step/s] Training: 19%|█▊ | 18539/100000 [3:45:11<15:19:35, 1.48step/s] Training: 19%|█▊ | 18540/100000 [3:45:11<15:46:32, 1.43step/s] Training: 19%|█▊ | 18541/100000 [3:45:12<16:17:08, 1.39step/s] Training: 19%|█▊ | 18542/100000 [3:45:13<16:50:55, 1.34step/s] Training: 19%|█▊ | 18543/100000 [3:45:14<16:50:34, 1.34step/s] Training: 19%|█▊ | 18544/100000 [3:45:14<17:05:40, 1.32step/s] Training: 19%|█▊ | 18545/100000 [3:45:15<16:17:51, 1.39step/s] Training: 19%|█▊ | 18546/100000 [3:45:16<15:47:36, 1.43step/s] Training: 19%|█▊ | 18547/100000 [3:45:16<15:18:02, 1.48step/s] Training: 19%|█▊ | 18548/100000 [3:45:17<15:56:10, 1.42step/s] Training: 19%|█▊ | 18549/100000 [3:45:18<16:03:07, 1.41step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=17286 Training: 19%|█▊ | 18550/100000 [3:45:19<16:01:15, 1.41step/s] Training: 19%|█▊ | 18551/100000 [3:45:19<16:10:56, 1.40step/s] Training: 19%|█▊ | 18552/100000 [3:45:20<16:14:18, 1.39step/s] Training: 19%|█▊ | 18553/100000 [3:45:21<15:48:00, 1.43step/s] Training: 19%|█▊ | 18554/100000 [3:45:21<15:19:37, 1.48step/s] Training: 19%|█▊ | 18555/100000 [3:45:22<14:55:08, 1.52step/s] Training: 19%|█▊ | 18556/100000 [3:45:23<15:29:41, 1.46step/s] Training: 19%|█▊ | 18557/100000 [3:45:23<15:34:45, 1.45step/s] Training: 19%|█▊ | 18558/100000 [3:45:24<15:55:20, 1.42step/s] Training: 19%|█▊ | 18559/100000 [3:45:25<16:27:52, 1.37step/s] Training: 19%|█▊ | 18560/100000 [3:45:26<16:42:51, 1.35step/s] Training: 19%|█▊ | 18561/100000 [3:45:26<17:03:41, 1.33step/s] Training: 19%|█▊ | 18562/100000 [3:45:27<16:08:14, 1.40step/s] Training: 19%|█▊ | 18563/100000 [3:45:28<15:32:47, 1.46step/s] Training: 19%|█▊ | 18564/100000 [3:45:28<15:39:41, 1.44step/s] Training: 19%|█▊ | 18565/100000 [3:45:29<16:15:05, 1.39step/s] Training: 19%|█▊ | 18566/100000 [3:45:30<16:41:49, 1.35step/s] Training: 19%|█▊ | 18567/100000 [3:45:31<17:03:50, 1.33step/s] Training: 19%|█▊ | 18568/100000 [3:45:32<16:55:34, 1.34step/s] Training: 19%|█▊ | 18569/100000 [3:45:32<16:56:54, 1.33step/s] Training: 19%|█▊ | 18570/100000 [3:45:33<16:01:12, 1.41step/s] Training: 19%|█▊ | 18571/100000 [3:45:33<15:27:12, 1.46step/s] Training: 19%|█▊ | 18572/100000 [3:45:34<16:07:56, 1.40step/s] Training: 19%|█▊ | 18573/100000 [3:45:35<16:31:21, 1.37step/s] Training: 19%|█▊ | 18574/100000 [3:45:36<16:42:29, 1.35step/s] Training: 19%|█▊ | 18575/100000 [3:45:37<16:37:48, 1.36step/s] Training: 19%|█▊ | 18576/100000 [3:45:37<16:28:25, 1.37step/s] Training: 19%|█▊ | 18577/100000 [3:45:38<16:42:30, 1.35step/s] Training: 19%|█▊ | 18578/100000 [3:45:39<15:52:48, 1.42step/s] Training: 19%|█▊ | 18579/100000 [3:45:39<15:23:03, 1.47step/s] Training: 19%|█▊ | 18580/100000 [3:45:40<16:00:28, 1.41step/s] Training: 19%|█▊ | 18581/100000 [3:45:41<16:00:48, 1.41step/s] Training: 19%|█▊ | 18582/100000 [3:45:41<16:20:29, 1.38step/s] Training: 19%|█▊ | 18583/100000 [3:45:42<16:37:14, 1.36step/s] Training: 19%|█▊ | 18584/100000 [3:45:43<15:51:57, 1.43step/s] Training: 19%|█▊ | 18585/100000 [3:45:44<16:16:16, 1.39step/s] Training: 19%|█▊ | 18586/100000 [3:45:44<16:35:15, 1.36step/s] Training: 19%|█▊ | 18587/100000 [3:45:45<15:39:36, 1.44step/s] Training: 19%|█▊ | 18588/100000 [3:45:46<15:49:11, 1.43step/s] Training: 19%|█▊ | 18589/100000 [3:45:46<15:50:55, 1.43step/s] Training: 19%|█▊ | 18590/100000 [3:45:47<16:19:19, 1.39step/s] Training: 19%|█▊ | 18591/100000 [3:45:48<16:43:08, 1.35step/s] Training: 19%|█▊ | 18592/100000 [3:45:49<16:41:09, 1.36step/s] Training: 19%|█▊ | 18593/100000 [3:45:49<16:00:12, 1.41step/s] Training: 19%|█▊ | 18594/100000 [3:45:50<16:26:54, 1.37step/s] Training: 19%|█▊ | 18595/100000 [3:45:51<15:50:47, 1.43step/s] Training: 19%|█▊ | 18596/100000 [3:45:51<15:58:32, 1.42step/s] Training: 19%|█▊ | 18597/100000 [3:45:52<16:29:25, 1.37step/s] Training: 19%|█▊ | 18598/100000 [3:45:53<16:57:03, 1.33step/s] Training: 19%|█▊ | 18599/100000 [3:45:54<17:14:43, 1.31step/s] Training: 19%|█▊ | 18600/100000 [3:45:55<17:29:37, 1.29step/s]INFO 2026-03-12 07:08:11 ot_train.py:435 step:19K smpl:1M ep:4K epch:15.77 loss:0.255 grdn:11.134 lr:1.8e-05 updt_s:0.701 data_s:0.012 Training: 19%|█▊ | 18601/100000 [3:45:55<16:35:51, 1.36step/s] Training: 19%|█▊ | 18602/100000 [3:45:56<16:45:29, 1.35step/s] Training: 19%|█▊ | 18603/100000 [3:45:57<15:58:24, 1.42step/s] Training: 19%|█▊ | 18604/100000 [3:45:57<16:23:50, 1.38step/s] Training: 19%|█▊ | 18605/100000 [3:45:58<16:42:43, 1.35step/s] Training: 19%|█▊ | 18606/100000 [3:45:59<17:02:26, 1.33step/s] Training: 19%|█▊ | 18607/100000 [3:46:00<16:57:11, 1.33step/s] Training: 19%|█▊ | 18608/100000 [3:46:00<16:43:35, 1.35step/s] Training: 19%|█▊ | 18609/100000 [3:46:01<15:54:32, 1.42step/s] Training: 19%|█▊ | 18610/100000 [3:46:02<16:07:44, 1.40step/s] Training: 19%|█▊ | 18611/100000 [3:46:02<15:19:10, 1.48step/s] Training: 19%|█▊ | 18612/100000 [3:46:03<15:48:53, 1.43step/s] Training: 19%|█▊ | 18613/100000 [3:46:04<15:56:34, 1.42step/s] Training: 19%|█▊ | 18614/100000 [3:46:05<16:18:42, 1.39step/s] Training: 19%|█▊ | 18615/100000 [3:46:05<16:30:57, 1.37step/s] Training: 19%|█▊ | 18616/100000 [3:46:06<15:51:30, 1.43step/s] Training: 19%|█▊ | 18617/100000 [3:46:07<16:02:37, 1.41step/s] Training: 19%|█▊ | 18618/100000 [3:46:07<16:11:51, 1.40step/s] Training: 19%|█▊ | 18619/100000 [3:46:08<15:33:16, 1.45step/s] Training: 19%|█▊ | 18620/100000 [3:46:09<16:10:51, 1.40step/s] Training: 19%|█▊ | 18621/100000 [3:46:10<16:13:28, 1.39step/s] Training: 19%|█▊ | 18622/100000 [3:46:10<16:32:58, 1.37step/s] Training: 19%|█▊ | 18623/100000 [3:46:11<16:51:33, 1.34step/s] Training: 19%|█▊ | 18624/100000 [3:46:12<16:51:40, 1.34step/s] Training: 19%|█▊ | 18625/100000 [3:46:13<16:05:18, 1.40step/s] Training: 19%|█▊ | 18626/100000 [3:46:13<15:24:20, 1.47step/s] Training: 19%|█▊ | 18627/100000 [3:46:14<16:28:34, 1.37step/s] Training: 19%|█▊ | 18628/100000 [3:46:15<16:16:12, 1.39step/s] Training: 19%|█▊ | 18629/100000 [3:46:15<16:36:30, 1.36step/s] Training: 19%|█▊ | 18630/100000 [3:46:16<16:58:07, 1.33step/s] Training: 19%|█▊ | 18631/100000 [3:46:17<17:01:13, 1.33step/s] Training: 19%|█▊ | 18632/100000 [3:46:18<16:44:20, 1.35step/s] Training: 19%|█▊ | 18633/100000 [3:46:18<15:53:55, 1.42step/s] Training: 19%|█▊ | 18634/100000 [3:46:19<15:22:16, 1.47step/s] Training: 19%|█▊ | 18635/100000 [3:46:20<15:44:56, 1.44step/s] Training: 19%|█▊ | 18636/100000 [3:46:20<15:05:53, 1.50step/s] Training: 19%|█▊ | 18637/100000 [3:46:21<15:43:53, 1.44step/s] Training: 19%|█▊ | 18638/100000 [3:46:22<16:00:04, 1.41step/s] Training: 19%|█▊ | 18639/100000 [3:46:23<16:09:20, 1.40step/s] Training: 19%|█▊ | 18640/100000 [3:46:23<16:11:49, 1.40step/s] Training: 19%|█▊ | 18641/100000 [3:46:24<15:32:26, 1.45step/s] Training: 19%|█▊ | 18642/100000 [3:46:24<15:07:14, 1.49step/s] Training: 19%|█▊ | 18643/100000 [3:46:25<14:55:24, 1.51step/s] Training: 19%|█▊ | 18644/100000 [3:46:26<15:49:16, 1.43step/s] Training: 19%|█▊ | 18645/100000 [3:46:27<16:06:32, 1.40step/s] Training: 19%|█▊ | 18646/100000 [3:46:27<16:18:22, 1.39step/s] Training: 19%|█▊ | 18647/100000 [3:46:28<16:31:17, 1.37step/s] Training: 19%|█▊ | 18648/100000 [3:46:29<15:38:20, 1.44step/s] Training: 19%|█▊ | 18649/100000 [3:46:30<16:40:48, 1.35step/s] Training: 19%|█▊ | 18650/100000 [3:46:30<15:58:32, 1.41step/s] Training: 19%|█▊ | 18651/100000 [3:46:31<16:32:16, 1.37step/s] Training: 19%|█▊ | 18652/100000 [3:46:32<16:41:36, 1.35step/s] Training: 19%|█▊ | 18653/100000 [3:46:32<16:31:12, 1.37step/s] Training: 19%|█▊ | 18654/100000 [3:46:33<16:43:20, 1.35step/s] Training: 19%|█▊ | 18655/100000 [3:46:34<17:05:14, 1.32step/s] Training: 19%|█▊ | 18656/100000 [3:46:35<17:10:31, 1.32step/s] Training: 19%|█▊ | 18657/100000 [3:46:35<16:19:37, 1.38step/s] Training: 19%|█▊ | 18658/100000 [3:46:36<15:45:01, 1.43step/s] Training: 19%|█▊ | 18659/100000 [3:46:37<15:17:54, 1.48step/s] Training: 19%|█▊ | 18660/100000 [3:46:38<16:03:21, 1.41step/s] Training: 19%|█▊ | 18661/100000 [3:46:38<16:21:00, 1.38step/s] Training: 19%|█▊ | 18662/100000 [3:46:39<16:46:17, 1.35step/s] Training: 19%|█▊ | 18663/100000 [3:46:40<16:58:07, 1.33step/s] Training: 19%|█▊ | 18664/100000 [3:46:41<16:39:46, 1.36step/s] Training: 19%|█▊ | 18665/100000 [3:46:41<15:55:11, 1.42step/s] Training: 19%|█▊ | 18666/100000 [3:46:42<15:30:08, 1.46step/s] Training: 19%|█▊ | 18667/100000 [3:46:42<15:08:06, 1.49step/s] Training: 19%|█▊ | 18668/100000 [3:46:43<16:22:31, 1.38step/s] Training: 19%|█▊ | 18669/100000 [3:46:44<16:39:14, 1.36step/s] Training: 19%|█▊ | 18670/100000 [3:46:45<16:31:01, 1.37step/s] Training: 19%|█▊ | 18671/100000 [3:46:45<16:19:50, 1.38step/s] Training: 19%|█▊ | 18672/100000 [3:46:46<16:10:14, 1.40step/s] Training: 19%|█▊ | 18673/100000 [3:46:47<15:31:30, 1.46step/s] Training: 19%|█▊ | 18674/100000 [3:46:47<15:11:36, 1.49step/s] Training: 19%|█▊ | 18675/100000 [3:46:48<14:56:51, 1.51step/s] Training: 19%|█▊ | 18676/100000 [3:46:49<15:31:58, 1.45step/s] Training: 19%|█▊ | 18677/100000 [3:46:50<15:38:53, 1.44step/s] Training: 19%|█▊ | 18678/100000 [3:46:50<15:46:29, 1.43step/s] Training: 19%|█▊ | 18679/100000 [3:46:51<16:14:04, 1.39step/s] Training: 19%|█▊ | 18680/100000 [3:46:52<15:35:18, 1.45step/s] Training: 19%|█▊ | 18681/100000 [3:46:52<15:48:41, 1.43step/s] Training: 19%|█▊ | 18682/100000 [3:46:53<15:17:33, 1.48step/s] Training: 19%|█▊ | 18683/100000 [3:46:54<14:59:07, 1.51step/s] 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1.52step/s] Training: 19%|█▊ | 18700/100000 [3:47:06<15:47:24, 1.43step/s]INFO 2026-03-12 07:09:22 ot_train.py:435 step:19K smpl:1M ep:4K epch:15.85 loss:0.261 grdn:11.772 lr:1.8e-05 updt_s:0.696 data_s:0.012 Training: 19%|█▊ | 18701/100000 [3:47:06<16:05:02, 1.40step/s] Training: 19%|█▊ | 18702/100000 [3:47:07<16:25:37, 1.37step/s] Training: 19%|█▊ | 18703/100000 [3:47:08<16:15:33, 1.39step/s] Training: 19%|█▊ | 18704/100000 [3:47:09<16:10:00, 1.40step/s] Training: 19%|█▊ | 18705/100000 [3:47:09<15:25:49, 1.46step/s] Training: 19%|█▊ | 18706/100000 [3:47:10<15:03:41, 1.50step/s] Training: 19%|█▊ | 18707/100000 [3:47:10<14:54:05, 1.52step/s] Training: 19%|█▊ | 18708/100000 [3:47:11<15:37:33, 1.45step/s] Training: 19%|█▊ | 18709/100000 [3:47:12<16:58:22, 1.33step/s] Training: 19%|█▊ | 18710/100000 [3:47:13<16:26:42, 1.37step/s] Training: 19%|█▊ | 18711/100000 [3:47:14<16:42:41, 1.35step/s] Training: 19%|█▊ | 18712/100000 [3:47:14<15:57:19, 1.42step/s] Training: 19%|█▊ | 18713/100000 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Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 19%|█▉ | 18881/100000 [3:49:19<46:21:43, 2.06s/step] Training: 19%|█▉ | 18882/100000 [3:49:20<38:27:32, 1.71s/step] Training: 19%|█▉ | 18883/100000 [3:49:21<31:08:35, 1.38s/step] Training: 19%|█▉ | 18884/100000 [3:49:21<27:02:58, 1.20s/step] Training: 19%|█▉ | 18885/100000 [3:49:22<23:10:24, 1.03s/step] Training: 19%|█▉ | 18886/100000 [3:49:23<22:04:10, 1.02step/s] Training: 19%|█▉ | 18887/100000 [3:49:24<20:45:36, 1.09step/s] Training: 19%|█▉ | 18888/100000 [3:49:24<18:52:21, 1.19step/s] Training: 19%|█▉ | 18889/100000 [3:49:25<19:04:59, 1.18step/s] Training: 19%|█▉ | 18890/100000 [3:49:26<19:06:35, 1.18step/s] Training: 19%|█▉ | 18891/100000 [3:49:27<17:40:00, 1.28step/s] Training: 19%|█▉ | 18892/100000 [3:49:27<16:29:50, 1.37step/s] Training: 19%|█▉ | 18893/100000 [3:49:28<16:45:50, 1.34step/s] 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[3:50:45<16:30:59, 1.36step/s] Training: 19%|█▉ | 19000/100000 [3:50:46<16:46:24, 1.34step/s]INFO 2026-03-12 07:13:02 ot_train.py:435 step:19K smpl:1M ep:4K epch:16.10 loss:0.239 grdn:11.173 lr:1.8e-05 updt_s:0.710 data_s:0.013 Training: 19%|█▉ | 19001/100000 [3:50:47<16:47:12, 1.34step/s] Training: 19%|█▉ | 19002/100000 [3:50:47<15:49:12, 1.42step/s] Training: 19%|█▉ | 19003/100000 [3:50:48<15:08:06, 1.49step/s] Training: 19%|█▉ | 19004/100000 [3:50:49<15:23:26, 1.46step/s] Training: 19%|█▉ | 19005/100000 [3:50:50<16:37:14, 1.35step/s] Training: 19%|█▉ | 19006/100000 [3:50:50<17:02:49, 1.32step/s] Training: 19%|█▉ | 19007/100000 [3:50:51<16:59:42, 1.32step/s] Training: 19%|█▉ | 19008/100000 [3:50:52<16:56:36, 1.33step/s] Training: 19%|█▉ | 19009/100000 [3:50:53<17:02:37, 1.32step/s] Training: 19%|█▉ | 19010/100000 [3:50:53<16:01:17, 1.40step/s] Training: 19%|█▉ | 19011/100000 [3:50:54<15:34:42, 1.44step/s] Training: 19%|█▉ | 19012/100000 [3:50:55<15:40:11, 1.44step/s] Training: 19%|█▉ 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Training: 19%|█▉ | 19198/100000 [3:53:09<16:13:32, 1.38step/s] Training: 19%|█▉ | 19199/100000 [3:53:10<16:32:21, 1.36step/s] Training: 19%|█▉ | 19200/100000 [3:53:10<16:42:38, 1.34step/s]INFO 2026-03-12 07:15:26 ot_train.py:435 step:19K smpl:1M ep:4K epch:16.27 loss:0.248 grdn:11.891 lr:1.8e-05 updt_s:0.711 data_s:0.013 Training: 19%|█▉ | 19201/100000 [3:53:11<17:02:16, 1.32step/s] Training: 19%|█▉ | 19202/100000 [3:53:12<16:09:03, 1.39step/s] Training: 19%|█▉ | 19203/100000 [3:53:13<16:35:02, 1.35step/s] Training: 19%|█▉ | 19204/100000 [3:53:13<16:22:37, 1.37step/s] Training: 19%|█▉ | 19205/100000 [3:53:14<15:31:20, 1.45step/s] Training: 19%|█▉ | 19206/100000 [3:53:15<15:55:07, 1.41step/s] Training: 19%|█▉ | 19207/100000 [3:53:15<16:25:57, 1.37step/s] Training: 19%|█▉ | 19208/100000 [3:53:16<16:16:38, 1.38step/s] Training: 19%|█▉ | 19209/100000 [3:53:17<16:55:27, 1.33step/s] Training: 19%|█▉ | 19210/100000 [3:53:18<15:58:10, 1.41step/s] Training: 19%|█▉ | 19211/100000 [3:53:18<16:40:27, 1.35step/s] Training: 19%|█▉ | 19212/100000 [3:53:19<16:41:17, 1.34step/s] Training: 19%|█▉ | 19213/100000 [3:53:20<15:56:59, 1.41step/s] Training: 19%|█▉ | 19214/100000 [3:53:21<16:32:32, 1.36step/s] Training: 19%|█▉ | 19215/100000 [3:53:21<16:36:30, 1.35step/s] Training: 19%|█▉ | 19216/100000 [3:53:22<16:59:21, 1.32step/s] Training: 19%|█▉ | 19217/100000 [3:53:23<17:06:22, 1.31step/s] Training: 19%|█▉ | 19218/100000 [3:53:24<16:14:50, 1.38step/s] Training: 19%|█▉ | 19219/100000 [3:53:24<15:40:27, 1.43step/s] Training: 19%|█▉ | 19220/100000 [3:53:25<17:05:38, 1.31step/s] Training: 19%|█▉ | 19221/100000 [3:53:26<16:10:40, 1.39step/s] Training: 19%|█▉ | 19222/100000 [3:53:27<16:46:41, 1.34step/s] Training: 19%|█▉ | 19223/100000 [3:53:27<16:59:05, 1.32step/s] Training: 19%|█▉ | 19224/100000 [3:53:28<17:16:44, 1.30step/s] Training: 19%|█▉ | 19225/100000 [3:53:29<17:08:25, 1.31step/s] Training: 19%|█▉ | 19226/100000 [3:53:29<16:07:57, 1.39step/s] Training: 19%|█▉ | 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Training: 19%|█▉ | 19259/100000 [3:53:53<15:40:00, 1.43step/s] Training: 19%|█▉ | 19260/100000 [3:53:54<16:03:06, 1.40step/s] Training: 19%|█▉ | 19261/100000 [3:53:55<17:01:53, 1.32step/s] Training: 19%|█▉ | 19262/100000 [3:53:56<16:58:52, 1.32step/s] Training: 19%|█▉ | 19263/100000 [3:53:56<16:07:08, 1.39step/s] Training: 19%|█▉ | 19264/100000 [3:53:57<16:31:29, 1.36step/s] Training: 19%|█▉ | 19265/100000 [3:53:58<16:41:53, 1.34step/s] Training: 19%|█▉ | 19266/100000 [3:53:58<15:48:35, 1.42step/s] Training: 19%|█▉ | 19267/100000 [3:53:59<15:06:32, 1.48step/s] Training: 19%|█▉ | 19268/100000 [3:54:00<15:22:27, 1.46step/s] Training: 19%|█▉ | 19269/100000 [3:54:00<15:54:17, 1.41step/s] Training: 19%|█▉ | 19270/100000 [3:54:01<16:14:20, 1.38step/s] Training: 19%|█▉ | 19271/100000 [3:54:02<15:30:21, 1.45step/s] Training: 19%|█▉ | 19272/100000 [3:54:03<16:00:36, 1.40step/s] Training: 19%|█▉ | 19273/100000 [3:54:03<16:00:23, 1.40step/s] Training: 19%|█▉ | 19274/100000 [3:54:04<15:27:03, 1.45step/s] Training: 19%|█▉ | 19275/100000 [3:54:05<15:05:49, 1.49step/s] Training: 19%|█▉ | 19276/100000 [3:54:05<14:42:00, 1.53step/s] Training: 19%|█▉ | 19277/100000 [3:54:06<15:58:26, 1.40step/s] Training: 19%|█▉ | 19278/100000 [3:54:07<16:10:23, 1.39step/s] Training: 19%|█▉ | 19279/100000 [3:54:07<15:36:52, 1.44step/s] Training: 19%|█▉ | 19280/100000 [3:54:08<16:15:21, 1.38step/s] Training: 19%|█▉ | 19281/100000 [3:54:09<16:35:27, 1.35step/s] Training: 19%|█▉ | 19282/100000 [3:54:10<15:49:29, 1.42step/s] Training: 19%|█▉ | 19283/100000 [3:54:10<15:09:21, 1.48step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=6356 Training: 19%|█▉ | 19284/100000 [3:54:11<15:56:10, 1.41step/s] Training: 19%|█▉ | 19285/100000 [3:54:12<15:13:38, 1.47step/s] Training: 19%|█▉ | 19286/100000 [3:54:12<16:39:35, 1.35step/s] Training: 19%|█▉ | 19287/100000 [3:54:13<15:51:09, 1.41step/s] Training: 19%|█▉ | 19288/100000 [3:54:14<16:28:37, 1.36step/s] Training: 19%|█▉ | 19289/100000 [3:54:15<16:34:41, 1.35step/s] Training: 19%|█▉ | 19290/100000 [3:54:15<15:47:10, 1.42step/s] Training: 19%|█▉ | 19291/100000 [3:54:16<15:13:34, 1.47step/s] Training: 19%|█▉ | 19292/100000 [3:54:17<15:55:26, 1.41step/s] Training: 19%|█▉ | 19293/100000 [3:54:17<15:22:12, 1.46step/s] Training: 19%|█▉ | 19294/100000 [3:54:18<16:13:12, 1.38step/s] Training: 19%|█▉ | 19295/100000 [3:54:19<15:31:42, 1.44step/s] Training: 19%|█▉ | 19296/100000 [3:54:19<15:43:28, 1.43step/s] Training: 19%|█▉ | 19297/100000 [3:54:20<16:03:32, 1.40step/s] Training: 19%|█▉ | 19298/100000 [3:54:21<15:18:12, 1.46step/s] Training: 19%|█▉ | 19299/100000 [3:54:21<14:45:31, 1.52step/s] Training: 19%|█▉ | 19300/100000 [3:54:22<15:19:33, 1.46step/s]INFO 2026-03-12 07:16:38 ot_train.py:435 step:19K smpl:1M ep:4K epch:16.36 loss:0.240 grdn:10.727 lr:1.8e-05 updt_s:0.703 data_s:0.012 Training: 19%|█▉ | 19301/100000 [3:54:23<15:02:54, 1.49step/s] Training: 19%|█▉ | 19302/100000 [3:54:24<15:48:07, 1.42step/s] Training: 19%|█▉ | 19303/100000 [3:54:24<15:17:19, 1.47step/s] Training: 19%|█▉ | 19304/100000 [3:54:25<15:57:04, 1.41step/s] Training: 19%|█▉ | 19305/100000 [3:54:26<16:04:05, 1.40step/s] Training: 19%|█▉ | 19306/100000 [3:54:26<15:28:55, 1.45step/s] Training: 19%|█▉ | 19307/100000 [3:54:27<15:02:21, 1.49step/s] Training: 19%|█▉ | 19308/100000 [3:54:28<14:36:25, 1.53step/s] Training: 19%|█▉ | 19309/100000 [3:54:28<15:16:47, 1.47step/s] Training: 19%|█▉ | 19310/100000 [3:54:29<15:35:13, 1.44step/s] Training: 19%|█▉ | 19311/100000 [3:54:30<16:22:57, 1.37step/s] Training: 19%|█▉ | 19312/100000 [3:54:31<16:38:49, 1.35step/s] Training: 19%|█▉ | 19313/100000 [3:54:31<16:52:04, 1.33step/s] Training: 19%|█▉ | 19314/100000 [3:54:32<16:02:42, 1.40step/s] Training: 19%|█▉ | 19315/100000 [3:54:33<15:22:47, 1.46step/s] Training: 19%|█▉ | 19316/100000 [3:54:33<15:54:16, 1.41step/s] Training: 19%|█▉ | 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1.41step/s] Training: 19%|█▉ | 19365/100000 [3:55:08<15:22:39, 1.46step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=9208 Training: 19%|█▉ | 19366/100000 [3:55:09<15:59:04, 1.40step/s] Training: 19%|█▉ | 19367/100000 [3:55:09<15:23:08, 1.46step/s] Training: 19%|█▉ | 19368/100000 [3:55:10<16:14:53, 1.38step/s] Training: 19%|█▉ | 19369/100000 [3:55:11<16:08:11, 1.39step/s] Training: 19%|█▉ | 19370/100000 [3:55:11<15:19:11, 1.46step/s] Training: 19%|█▉ | 19371/100000 [3:55:12<14:46:08, 1.52step/s] Training: 19%|█▉ | 19372/100000 [3:55:13<15:09:34, 1.48step/s] Training: 19%|█▉ | 19373/100000 [3:55:13<14:40:59, 1.53step/s] Training: 19%|█▉ | 19374/100000 [3:55:14<15:07:56, 1.48step/s] Training: 19%|█▉ | 19375/100000 [3:55:15<14:49:07, 1.51step/s] Training: 19%|█▉ | 19376/100000 [3:55:16<15:49:30, 1.42step/s] Training: 19%|█▉ | 19377/100000 [3:55:16<16:15:09, 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[3:55:28<16:44:50, 1.34step/s] Training: 19%|█▉ | 19394/100000 [3:55:28<15:54:08, 1.41step/s] Training: 19%|█▉ | 19395/100000 [3:55:29<15:16:47, 1.47step/s] Training: 19%|█▉ | 19396/100000 [3:55:30<15:42:12, 1.43step/s] Training: 19%|█▉ | 19397/100000 [3:55:30<15:12:38, 1.47step/s] Training: 19%|█▉ | 19398/100000 [3:55:31<15:49:08, 1.42step/s] Training: 19%|█▉ | 19399/100000 [3:55:32<15:09:16, 1.48step/s] Training: 19%|█▉ | 19400/100000 [3:55:32<15:51:13, 1.41step/s]INFO 2026-03-12 07:17:48 ot_train.py:435 step:19K smpl:1M ep:4K epch:16.44 loss:0.241 grdn:10.887 lr:1.8e-05 updt_s:0.687 data_s:0.012 Training: 19%|█▉ | 19401/100000 [3:55:33<16:36:57, 1.35step/s] Training: 19%|█▉ | 19402/100000 [3:55:34<15:49:52, 1.41step/s] Training: 19%|█▉ | 19403/100000 [3:55:34<15:11:10, 1.47step/s] Training: 19%|█▉ | 19404/100000 [3:55:35<15:28:44, 1.45step/s] Training: 19%|█▉ | 19405/100000 [3:55:36<15:05:59, 1.48step/s] Training: 19%|█▉ | 19406/100000 [3:55:37<15:37:51, 1.43step/s] Training: 19%|█▉ 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Training: 20%|█▉ | 19592/100000 [3:57:48<16:06:17, 1.39step/s] Training: 20%|█▉ | 19593/100000 [3:57:49<16:11:12, 1.38step/s] Training: 20%|█▉ | 19594/100000 [3:57:50<15:25:12, 1.45step/s] Training: 20%|█▉ | 19595/100000 [3:57:50<14:55:17, 1.50step/s] Training: 20%|█▉ | 19596/100000 [3:57:51<15:11:09, 1.47step/s] Training: 20%|█▉ | 19597/100000 [3:57:52<14:43:13, 1.52step/s] Training: 20%|█▉ | 19598/100000 [3:57:52<15:18:10, 1.46step/s] Training: 20%|█▉ | 19599/100000 [3:57:53<16:24:52, 1.36step/s] Training: 20%|█▉ | 19600/100000 [3:57:54<16:46:15, 1.33step/s]INFO 2026-03-12 07:20:10 ot_train.py:435 step:20K smpl:1M ep:4K epch:16.61 loss:0.256 grdn:10.822 lr:1.8e-05 updt_s:0.689 data_s:0.012 Training: 20%|█▉ | 19601/100000 [3:57:55<16:53:18, 1.32step/s] Training: 20%|█▉ | 19602/100000 [3:57:55<16:02:12, 1.39step/s] Training: 20%|█▉ | 19603/100000 [3:57:56<15:31:45, 1.44step/s] Training: 20%|█▉ | 19604/100000 [3:57:57<16:04:11, 1.39step/s] Training: 20%|█▉ | 19605/100000 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19700/100000 [3:59:05<16:23:42, 1.36step/s]INFO 2026-03-12 07:21:21 ot_train.py:435 step:20K smpl:1M ep:4K epch:16.70 loss:0.241 grdn:10.990 lr:1.8e-05 updt_s:0.692 data_s:0.013 Training: 20%|█▉ | 19701/100000 [3:59:05<15:33:18, 1.43step/s] Training: 20%|█▉ | 19702/100000 [3:59:06<15:46:10, 1.41step/s] Training: 20%|█▉ | 19703/100000 [3:59:07<16:03:14, 1.39step/s] Training: 20%|█▉ | 19704/100000 [3:59:08<16:25:36, 1.36step/s] Training: 20%|█▉ | 19705/100000 [3:59:08<16:34:24, 1.35step/s] Training: 20%|█▉ | 19706/100000 [3:59:09<17:02:33, 1.31step/s] Training: 20%|█▉ | 19707/100000 [3:59:10<16:03:47, 1.39step/s] Training: 20%|█▉ | 19708/100000 [3:59:11<16:24:26, 1.36step/s] Training: 20%|█▉ | 19709/100000 [3:59:11<15:34:18, 1.43step/s] Training: 20%|█▉ | 19710/100000 [3:59:12<15:15:09, 1.46step/s] Training: 20%|█▉ | 19711/100000 [3:59:13<15:59:50, 1.39step/s] Training: 20%|█▉ | 19712/100000 [3:59:13<16:31:53, 1.35step/s] Training: 20%|█▉ | 19713/100000 [3:59:14<16:46:21, 1.33step/s] 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Training: 20%|█▉ | 19793/100000 [4:00:11<16:06:54, 1.38step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=49079 Training: 20%|█▉ | 19794/100000 [4:00:12<15:21:35, 1.45step/s] Training: 20%|█▉ | 19795/100000 [4:00:12<14:50:57, 1.50step/s] Training: 20%|█▉ | 19796/100000 [4:00:13<15:33:33, 1.43step/s] Training: 20%|█▉ | 19797/100000 [4:00:14<14:57:11, 1.49step/s] Training: 20%|█▉ | 19798/100000 [4:00:14<14:38:56, 1.52step/s] Training: 20%|█▉ | 19799/100000 [4:00:15<15:25:34, 1.44step/s] Training: 20%|█▉ | 19800/100000 [4:00:16<15:57:17, 1.40step/s]INFO 2026-03-12 07:22:32 ot_train.py:435 step:20K smpl:1M ep:4K epch:16.78 loss:0.257 grdn:11.360 lr:1.8e-05 updt_s:0.695 data_s:0.013 Training: 20%|█▉ | 19801/100000 [4:00:17<16:12:43, 1.37step/s] Training: 20%|█▉ | 19802/100000 [4:00:17<15:23:20, 1.45step/s] Training: 20%|█▉ | 19803/100000 [4:00:18<14:56:08, 1.49step/s] Training: 20%|█▉ | 19804/100000 [4:00:19<15:59:14, 1.39step/s] Training: 20%|█▉ | 19805/100000 [4:00:19<15:24:56, 1.45step/s] Training: 20%|█▉ | 19806/100000 [4:00:20<14:55:36, 1.49step/s] Training: 20%|█▉ | 19807/100000 [4:00:21<15:22:50, 1.45step/s] Training: 20%|█▉ | 19808/100000 [4:00:21<15:48:20, 1.41step/s] Training: 20%|█▉ | 19809/100000 [4:00:22<15:52:37, 1.40step/s] Training: 20%|█▉ | 19810/100000 [4:00:23<15:09:27, 1.47step/s] Training: 20%|█▉ | 19811/100000 [4:00:23<14:40:14, 1.52step/s] Training: 20%|█▉ | 19812/100000 [4:00:24<15:02:11, 1.48step/s] Training: 20%|█▉ | 19813/100000 [4:00:25<16:30:20, 1.35step/s] Training: 20%|█▉ | 19814/100000 [4:00:25<15:43:16, 1.42step/s] Training: 20%|█▉ | 19815/100000 [4:00:26<16:07:14, 1.38step/s] Training: 20%|█▉ | 19816/100000 [4:00:27<16:29:47, 1.35step/s] Training: 20%|█▉ | 19817/100000 [4:00:28<16:10:45, 1.38step/s] Training: 20%|█▉ | 19818/100000 [4:00:28<15:21:06, 1.45step/s] Training: 20%|█▉ | 19819/100000 [4:00:29<14:54:15, 1.49step/s] Training: 20%|█▉ | 19820/100000 [4:00:30<15:10:02, 1.47step/s] Training: 20%|█▉ | 19821/100000 [4:00:30<15:55:10, 1.40step/s] Training: 20%|█▉ | 19822/100000 [4:00:31<15:16:54, 1.46step/s] Training: 20%|█▉ | 19823/100000 [4:00:32<15:18:31, 1.45step/s] Training: 20%|█▉ | 19824/100000 [4:00:33<16:15:18, 1.37step/s] Training: 20%|█▉ | 19825/100000 [4:00:33<16:33:55, 1.34step/s] Training: 20%|█▉ | 19826/100000 [4:00:34<15:40:29, 1.42step/s] Training: 20%|█▉ | 19827/100000 [4:00:35<14:59:35, 1.49step/s] Training: 20%|█▉ | 19828/100000 [4:00:35<15:30:39, 1.44step/s] Training: 20%|█▉ | 19829/100000 [4:00:36<16:47:13, 1.33step/s] Training: 20%|█▉ | 19830/100000 [4:00:37<15:50:02, 1.41step/s] Training: 20%|█▉ | 19831/100000 [4:00:38<16:04:48, 1.38step/s] Training: 20%|█▉ | 19832/100000 [4:00:38<16:31:44, 1.35step/s] Training: 20%|█▉ | 19833/100000 [4:00:39<16:45:57, 1.33step/s] Training: 20%|█▉ | 19834/100000 [4:00:40<15:52:03, 1.40step/s] Training: 20%|█▉ | 19835/100000 [4:00:40<15:29:55, 1.44step/s] Training: 20%|█▉ | 19836/100000 [4:00:41<16:02:42, 1.39step/s] Training: 20%|█▉ | 19837/100000 [4:00:42<16:56:42, 1.31step/s] Training: 20%|█▉ | 19838/100000 [4:00:43<15:54:28, 1.40step/s] Training: 20%|█▉ | 19839/100000 [4:00:43<16:13:48, 1.37step/s] Training: 20%|█▉ | 19840/100000 [4:00:44<16:48:50, 1.32step/s] Training: 20%|█▉ | 19841/100000 [4:00:45<16:34:47, 1.34step/s] Training: 20%|█▉ | 19842/100000 [4:00:46<15:41:05, 1.42step/s] Training: 20%|█▉ | 19843/100000 [4:00:46<15:05:05, 1.48step/s] Training: 20%|█▉ | 19844/100000 [4:00:47<15:26:51, 1.44step/s] Training: 20%|█▉ | 19845/100000 [4:00:48<14:57:26, 1.49step/s] Training: 20%|█▉ | 19846/100000 [4:00:48<16:03:24, 1.39step/s] Training: 20%|█▉ | 19847/100000 [4:00:49<16:18:43, 1.36step/s] Training: 20%|█▉ | 19848/100000 [4:00:50<16:34:35, 1.34step/s] Training: 20%|█▉ | 19849/100000 [4:00:51<16:15:27, 1.37step/s] Training: 20%|█▉ | 19850/100000 [4:00:51<15:26:02, 1.44step/s] Training: 20%|█▉ | 19851/100000 [4:00:52<14:57:53, 1.49step/s] Training: 20%|█▉ | 19852/100000 [4:00:53<15:15:32, 1.46step/s] Training: 20%|█▉ | 19853/100000 [4:00:53<14:45:16, 1.51step/s] Training: 20%|█▉ | 19854/100000 [4:00:54<15:46:57, 1.41step/s] Training: 20%|█▉ | 19855/100000 [4:00:55<15:40:52, 1.42step/s] Training: 20%|█▉ | 19856/100000 [4:00:55<16:19:51, 1.36step/s] Training: 20%|█▉ | 19857/100000 [4:00:56<16:30:49, 1.35step/s] Training: 20%|█▉ | 19858/100000 [4:00:57<15:50:32, 1.41step/s] Training: 20%|█▉ | 19859/100000 [4:00:58<15:22:49, 1.45step/s] Training: 20%|█▉ | 19860/100000 [4:00:58<15:49:33, 1.41step/s] Training: 20%|█▉ | 19861/100000 [4:00:59<15:21:59, 1.45step/s] Training: 20%|█▉ | 19862/100000 [4:01:00<16:18:37, 1.36step/s] Training: 20%|█▉ | 19863/100000 [4:01:01<16:34:45, 1.34step/s] Training: 20%|█▉ | 19864/100000 [4:01:01<17:06:51, 1.30step/s] Training: 20%|█▉ | 19865/100000 [4:01:02<16:55:32, 1.32step/s] Training: 20%|█▉ | 19866/100000 [4:01:03<16:02:26, 1.39step/s] Training: 20%|█▉ | 19867/100000 [4:01:03<15:25:10, 1.44step/s] Training: 20%|█▉ | 19868/100000 [4:01:04<15:45:33, 1.41step/s] Training: 20%|█▉ | 19869/100000 [4:01:05<15:10:58, 1.47step/s] Training: 20%|█▉ | 19870/100000 [4:01:06<15:55:39, 1.40step/s] Training: 20%|█▉ | 19871/100000 [4:01:06<16:16:47, 1.37step/s] Training: 20%|█▉ | 19872/100000 [4:01:07<16:11:48, 1.37step/s] Training: 20%|█▉ | 19873/100000 [4:01:08<16:20:30, 1.36step/s] Training: 20%|█▉ | 19874/100000 [4:01:08<15:37:35, 1.42step/s] Training: 20%|█▉ | 19875/100000 [4:01:09<15:07:09, 1.47step/s] Training: 20%|█▉ | 19876/100000 [4:01:10<15:31:32, 1.43step/s] Training: 20%|█▉ | 19877/100000 [4:01:10<14:58:01, 1.49step/s] Training: 20%|█▉ | 19878/100000 [4:01:11<15:51:09, 1.40step/s] Training: 20%|█▉ | 19879/100000 [4:01:12<16:04:45, 1.38step/s] Training: 20%|█▉ | 19880/100000 [4:01:13<16:34:36, 1.34step/s] Training: 20%|█▉ | 19881/100000 [4:01:13<16:26:53, 1.35step/s] Training: 20%|█▉ | 19882/100000 [4:01:14<15:35:15, 1.43step/s] Training: 20%|█▉ | 19883/100000 [4:01:15<15:05:06, 1.48step/s] Training: 20%|█▉ | 19884/100000 [4:01:15<15:29:27, 1.44step/s] Training: 20%|█▉ | 19885/100000 [4:01:16<15:07:26, 1.47step/s] Training: 20%|█▉ | 19886/100000 [4:01:17<14:51:58, 1.50step/s] Training: 20%|█▉ | 19887/100000 [4:01:18<16:20:19, 1.36step/s] Training: 20%|█▉ | 19888/100000 [4:01:18<16:42:54, 1.33step/s] Training: 20%|█▉ | 19889/100000 [4:01:19<16:36:05, 1.34step/s] Training: 20%|█▉ | 19890/100000 [4:01:20<15:49:33, 1.41step/s] Training: 20%|█▉ | 19891/100000 [4:01:20<15:19:45, 1.45step/s] Training: 20%|█▉ | 19892/100000 [4:01:21<15:53:44, 1.40step/s] Training: 20%|█▉ | 19893/100000 [4:01:22<15:18:20, 1.45step/s] Training: 20%|█▉ | 19894/100000 [4:01:22<14:56:56, 1.49step/s] Training: 20%|█▉ | 19895/100000 [4:01:23<16:29:16, 1.35step/s] Training: 20%|█▉ | 19896/100000 [4:01:24<16:49:04, 1.32step/s] Training: 20%|█▉ | 19897/100000 [4:01:25<16:54:51, 1.32step/s] Training: 20%|█▉ | 19898/100000 [4:01:25<15:53:10, 1.40step/s] Training: 20%|█▉ | 19899/100000 [4:01:26<15:26:21, 1.44step/s] Training: 20%|█▉ | 19900/100000 [4:01:27<15:54:37, 1.40step/s]INFO 2026-03-12 07:23:43 ot_train.py:435 step:20K smpl:1M ep:4K epch:16.87 loss:0.243 grdn:11.957 lr:1.8e-05 updt_s:0.696 data_s:0.013 Training: 20%|█▉ | 19901/100000 [4:01:28<15:22:12, 1.45step/s] Training: 20%|█▉ | 19902/100000 [4:01:28<15:02:13, 1.48step/s] Training: 20%|█▉ | 19903/100000 [4:01:29<15:59:16, 1.39step/s] Training: 20%|█▉ | 19904/100000 [4:01:30<16:05:32, 1.38step/s] Training: 20%|█▉ | 19905/100000 [4:01:30<16:00:09, 1.39step/s] Training: 20%|█▉ | 19906/100000 [4:01:31<15:35:08, 1.43step/s] Training: 20%|█▉ | 19907/100000 [4:01:32<15:08:37, 1.47step/s] Training: 20%|█▉ | 19908/100000 [4:01:33<15:53:23, 1.40step/s] Training: 20%|█▉ | 19909/100000 [4:01:33<15:08:41, 1.47step/s] Training: 20%|█▉ | 19910/100000 [4:01:34<14:37:40, 1.52step/s] Training: 20%|█▉ | 19911/100000 [4:01:34<15:11:43, 1.46step/s] Training: 20%|█▉ | 19912/100000 [4:01:35<16:19:33, 1.36step/s] Training: 20%|█▉ | 19913/100000 [4:01:36<16:19:30, 1.36step/s] Training: 20%|█▉ | 19914/100000 [4:01:37<15:38:43, 1.42step/s] Training: 20%|█▉ | 19915/100000 [4:01:37<15:14:48, 1.46step/s] Training: 20%|█▉ | 19916/100000 [4:01:38<15:28:05, 1.44step/s] Training: 20%|█▉ | 19917/100000 [4:01:39<15:00:52, 1.48step/s] Training: 20%|█▉ | 19918/100000 [4:01:39<14:43:51, 1.51step/s] Training: 20%|█▉ | 19919/100000 [4:01:40<15:13:13, 1.46step/s] Training: 20%|█▉ | 19920/100000 [4:01:41<16:07:15, 1.38step/s] Training: 20%|█▉ | 19921/100000 [4:01:42<16:30:11, 1.35step/s] Training: 20%|█▉ | 19922/100000 [4:01:42<15:47:17, 1.41step/s] Training: 20%|█▉ | 19923/100000 [4:01:43<15:20:53, 1.45step/s] Training: 20%|█▉ | 19924/100000 [4:01:44<15:53:36, 1.40step/s] Training: 20%|█▉ | 19925/100000 [4:01:44<15:17:59, 1.45step/s] Training: 20%|█▉ | 19926/100000 [4:01:45<14:55:47, 1.49step/s] Training: 20%|█▉ | 19927/100000 [4:01:46<15:39:29, 1.42step/s] Training: 20%|█▉ | 19928/100000 [4:01:47<16:12:47, 1.37step/s] Training: 20%|█▉ | 19929/100000 [4:01:47<16:24:13, 1.36step/s] Training: 20%|█▉ | 19930/100000 [4:01:48<15:39:19, 1.42step/s] Training: 20%|█▉ | 19931/100000 [4:01:49<15:07:54, 1.47step/s] Training: 20%|█▉ | 19932/100000 [4:01:49<15:43:32, 1.41step/s] Training: 20%|█▉ | 19933/100000 [4:01:50<15:10:31, 1.47step/s] Training: 20%|█▉ | 19934/100000 [4:01:51<14:48:44, 1.50step/s] Training: 20%|█▉ | 19935/100000 [4:01:51<15:36:22, 1.43step/s] Training: 20%|█▉ | 19936/100000 [4:01:52<16:10:15, 1.38step/s] Training: 20%|█▉ | 19937/100000 [4:01:53<16:26:03, 1.35step/s] Training: 20%|█▉ | 19938/100000 [4:01:53<15:39:07, 1.42step/s] Training: 20%|█▉ | 19939/100000 [4:01:54<15:00:46, 1.48step/s] Training: 20%|█▉ | 19940/100000 [4:01:55<15:16:13, 1.46step/s] Training: 20%|█▉ | 19941/100000 [4:01:55<14:44:06, 1.51step/s] Training: 20%|█▉ | 19942/100000 [4:01:56<14:20:02, 1.55step/s] Training: 20%|█▉ | 19943/100000 [4:01:57<15:11:46, 1.46step/s] Training: 20%|█▉ | 19944/100000 [4:01:58<16:02:34, 1.39step/s] Training: 20%|█▉ | 19945/100000 [4:01:58<16:26:48, 1.35step/s] Training: 20%|█▉ | 19946/100000 [4:01:59<15:50:30, 1.40step/s] Training: 20%|█▉ | 19947/100000 [4:02:00<15:22:19, 1.45step/s] Training: 20%|█▉ | 19948/100000 [4:02:00<15:27:54, 1.44step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=9208 Training: 20%|█▉ | 19949/100000 [4:02:01<15:05:09, 1.47step/s] Training: 20%|█▉ | 19950/100000 [4:02:02<14:49:59, 1.50step/s] Training: 20%|█▉ | 19951/100000 [4:02:02<15:11:18, 1.46step/s] Training: 20%|█▉ | 19952/100000 [4:02:03<15:53:21, 1.40step/s] Training: 20%|█▉ | 19953/100000 [4:02:04<16:50:20, 1.32step/s] Training: 20%|█▉ | 19954/100000 [4:02:05<15:50:19, 1.40step/s] Training: 20%|█▉ | 19955/100000 [4:02:05<15:07:19, 1.47step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=6356 Training: 20%|█▉ | 19956/100000 [4:02:06<15:50:56, 1.40step/s] Training: 20%|█▉ | 19957/100000 [4:02:07<15:17:56, 1.45step/s] Training: 20%|█▉ | 19958/100000 [4:02:07<14:57:58, 1.49step/s] Training: 20%|█▉ | 19959/100000 [4:02:08<15:56:07, 1.40step/s] Training: 20%|█▉ | 19960/100000 [4:02:09<16:36:38, 1.34step/s] Training: 20%|█▉ | 19961/100000 [4:02:10<17:12:08, 1.29step/s] Training: 20%|█▉ | 19962/100000 [4:02:10<16:08:28, 1.38step/s] Training: 20%|█▉ | 19963/100000 [4:02:11<15:23:57, 1.44step/s] Training: 20%|█▉ | 19964/100000 [4:02:12<15:47:29, 1.41step/s] Training: 20%|█▉ | 19965/100000 [4:02:12<15:12:37, 1.46step/s] Training: 20%|█▉ | 19966/100000 [4:02:13<14:53:07, 1.49step/s] Training: 20%|█▉ | 19967/100000 [4:02:14<15:39:31, 1.42step/s] Training: 20%|█▉ | 19968/100000 [4:02:15<16:10:48, 1.37step/s] Training: 20%|█▉ | 19969/100000 [4:02:15<16:35:01, 1.34step/s] Training: 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Training: 20%|█▉ | 19986/100000 [4:02:27<16:35:54, 1.34step/s] Training: 20%|█▉ | 19987/100000 [4:02:28<15:38:31, 1.42step/s] Training: 20%|█▉ | 19988/100000 [4:02:29<15:59:38, 1.39step/s] Training: 20%|█▉ | 19989/100000 [4:02:29<15:22:40, 1.45step/s] Training: 20%|█▉ | 19990/100000 [4:02:30<14:55:16, 1.49step/s] Training: 20%|█▉ | 19991/100000 [4:02:31<15:31:55, 1.43step/s] Training: 20%|█▉ | 19992/100000 [4:02:32<16:02:56, 1.38step/s] Training: 20%|█▉ | 19993/100000 [4:02:32<16:22:39, 1.36step/s] Training: 20%|█▉ | 19994/100000 [4:02:33<16:56:02, 1.31step/s] Training: 20%|█▉ | 19995/100000 [4:02:34<15:58:48, 1.39step/s] Training: 20%|█▉ | 19996/100000 [4:02:35<16:06:56, 1.38step/s] Training: 20%|█▉ | 19997/100000 [4:02:35<15:17:47, 1.45step/s] Training: 20%|█▉ | 19998/100000 [4:02:36<14:53:18, 1.49step/s] Training: 20%|█▉ | 19999/100000 [4:02:36<15:28:45, 1.44step/s] Training: 20%|██ | 20000/100000 [4:02:37<15:44:54, 1.41step/s]INFO 2026-03-12 07:24:53 ot_train.py:435 step:20K smpl:1M ep:4K epch:16.95 loss:0.253 grdn:11.310 lr:1.8e-05 updt_s:0.688 data_s:0.013 INFO 2026-03-12 07:24:53 ot_train.py:455 Checkpoint policy after step 20000 [Avatar] Pushing checkpoint (step 20000) to avatarrobotics/pi0fast-orange-hook-right-b64-20260312-0320... 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[Avatar] Pushed checkpoint (step 20000) OK [Avatar] Tagged as 'step-20000' Training: 20%|██ | 20001/100000 [4:03:54<519:38:43, 23.38s/step] Training: 20%|██ | 20002/100000 [4:03:54<369:18:14, 16.62s/step] Training: 20%|██ | 20003/100000 [4:03:55<262:37:04, 11.82s/step] Training: 20%|██ | 20004/100000 [4:03:56<188:41:22, 8.49s/step] Training: 20%|██ | 20005/100000 [4:03:56<136:14:32, 6.13s/step] Training: 20%|██ | 20006/100000 [4:03:57<99:26:03, 4.47s/step] Training: 20%|██ | 20007/100000 [4:03:58<74:42:34, 3.36s/step] Training: 20%|██ | 20008/100000 [4:03:58<57:29:39, 2.59s/step] Training: 20%|██ | 20009/100000 [4:03:59<45:16:38, 2.04s/step] Training: 20%|██ | 20010/100000 [4:04:00<36:49:22, 1.66s/step] Training: 20%|██ | 20011/100000 [4:04:01<29:53:46, 1.35s/step] Training: 20%|██ | 20012/100000 [4:04:01<25:54:52, 1.17s/step] Training: 20%|██ | 20013/100000 [4:04:02<22:13:22, 1.00s/step] Training: 20%|██ | 20014/100000 [4:04:03<19:41:42, 1.13step/s] Training: 20%|██ | 20015/100000 [4:04:03<18:20:02, 1.21step/s] Training: 20%|██ | 20016/100000 [4:04:04<18:13:35, 1.22step/s] Training: 20%|██ | 20017/100000 [4:04:05<17:56:44, 1.24step/s] Training: 20%|██ | 20018/100000 [4:04:06<17:52:50, 1.24step/s] Training: 20%|██ | 20019/100000 [4:04:06<16:35:27, 1.34step/s] Training: 20%|██ | 20020/100000 [4:04:07<16:36:27, 1.34step/s] Training: 20%|██ | 20021/100000 [4:04:08<15:46:38, 1.41step/s] Training: 20%|██ | 20022/100000 [4:04:08<15:11:43, 1.46step/s] Training: 20%|██ | 20023/100000 [4:04:09<15:41:57, 1.42step/s] Training: 20%|██ | 20024/100000 [4:04:10<16:13:05, 1.37step/s] Training: 20%|██ | 20025/100000 [4:04:11<16:29:26, 1.35step/s] Training: 20%|██ | 20026/100000 [4:04:11<17:26:49, 1.27step/s] Training: 20%|██ | 20027/100000 [4:04:12<16:13:56, 1.37step/s] Training: 20%|██ | 20028/100000 [4:04:13<16:15:07, 1.37step/s] Training: 20%|██ | 20029/100000 [4:04:13<15:33:46, 1.43step/s] Training: 20%|██ | 20030/100000 [4:04:14<15:04:29, 1.47step/s] Training: 20%|██ | 20031/100000 [4:04:15<15:35:40, 1.42step/s] Training: 20%|██ | 20032/100000 [4:04:16<15:44:03, 1.41step/s] Training: 20%|██ | 20033/100000 [4:04:16<16:20:44, 1.36step/s] Training: 20%|██ | 20034/100000 [4:04:17<15:42:00, 1.41step/s] Training: 20%|██ | 20035/100000 [4:04:18<16:43:02, 1.33step/s] Training: 20%|██ | 20036/100000 [4:04:19<17:06:34, 1.30step/s] Training: 20%|██ | 20037/100000 [4:04:19<16:19:35, 1.36step/s] Training: 20%|██ | 20038/100000 [4:04:20<15:45:22, 1.41step/s] Training: 20%|██ | 20039/100000 [4:04:21<16:10:39, 1.37step/s] Training: 20%|██ | 20040/100000 [4:04:22<16:26:32, 1.35step/s] Training: 20%|██ | 20041/100000 [4:04:22<16:51:03, 1.32step/s] Training: 20%|██ | 20042/100000 [4:04:23<15:51:26, 1.40step/s] Training: 20%|██ | 20043/100000 [4:04:24<16:22:30, 1.36step/s] Training: 20%|██ | 20044/100000 [4:04:24<16:01:41, 1.39step/s] Training: 20%|██ | 20045/100000 [4:04:25<15:16:14, 1.45step/s] Training: 20%|██ | 20046/100000 [4:04:26<14:56:43, 1.49step/s] Training: 20%|██ | 20047/100000 [4:04:26<14:58:33, 1.48step/s] Training: 20%|██ | 20048/100000 [4:04:27<15:24:40, 1.44step/s] Training: 20%|██ | 20049/100000 [4:04:28<15:28:45, 1.43step/s] Training: 20%|██ | 20050/100000 [4:04:28<14:50:35, 1.50step/s] Training: 20%|██ | 20051/100000 [4:04:29<14:58:03, 1.48step/s] Training: 20%|██ | 20052/100000 [4:04:30<15:16:56, 1.45step/s] Training: 20%|██ | 20053/100000 [4:04:30<14:40:11, 1.51step/s] Training: 20%|██ | 20054/100000 [4:04:31<14:13:09, 1.56step/s] Training: 20%|██ | 20055/100000 [4:04:32<14:35:54, 1.52step/s] Training: 20%|██ | 20056/100000 [4:04:32<15:05:25, 1.47step/s] Training: 20%|██ | 20057/100000 [4:04:33<15:19:03, 1.45step/s] Training: 20%|██ | 20058/100000 [4:04:34<14:42:36, 1.51step/s] Training: 20%|██ | 20059/100000 [4:04:34<14:16:00, 1.56step/s] Training: 20%|██ | 20060/100000 [4:04:37<24:39:53, 1.11s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 20%|██ | 20061/100000 [4:04:41<44:04:20, 1.98s/step] Training: 20%|██ | 20062/100000 [4:04:41<35:11:31, 1.58s/step] Training: 20%|██ | 20063/100000 [4:04:42<29:45:53, 1.34s/step] Training: 20%|██ | 20064/100000 [4:04:43<26:18:29, 1.18s/step] Training: 20%|██ | 20065/100000 [4:04:44<23:44:07, 1.07s/step] Training: 20%|██ | 20066/100000 [4:04:44<20:37:46, 1.08step/s] Training: 20%|██ | 20067/100000 [4:04:45<20:04:38, 1.11step/s] Training: 20%|██ | 20068/100000 [4:04:46<19:11:51, 1.16step/s] Training: 20%|██ | 20069/100000 [4:04:46<17:29:34, 1.27step/s] Training: 20%|██ | 20070/100000 [4:04:47<16:17:43, 1.36step/s] Training: 20%|██ | 20071/100000 [4:04:48<16:32:23, 1.34step/s] Training: 20%|██ | 20072/100000 [4:04:49<16:33:08, 1.34step/s] Training: 20%|██ | 20073/100000 [4:04:49<16:51:23, 1.32step/s] Training: 20%|██ | 20074/100000 [4:04:50<15:49:55, 1.40step/s] Training: 20%|██ | 20075/100000 [4:04:51<15:06:54, 1.47step/s] Training: 20%|██ | 20076/100000 [4:04:51<16:24:37, 1.35step/s] Training: 20%|██ | 20077/100000 [4:04:52<15:37:23, 1.42step/s] Training: 20%|██ | 20078/100000 [4:04:53<14:58:53, 1.48step/s] Training: 20%|██ | 20079/100000 [4:04:53<15:12:05, 1.46step/s] Training: 20%|██ | 20080/100000 [4:04:54<15:53:19, 1.40step/s] Training: 20%|██ | 20081/100000 [4:04:55<16:20:42, 1.36step/s] Training: 20%|██ | 20082/100000 [4:04:56<15:38:41, 1.42step/s] Training: 20%|██ | 20083/100000 [4:04:56<15:11:23, 1.46step/s] Training: 20%|██ | 20084/100000 [4:04:57<16:06:57, 1.38step/s] Training: 20%|██ | 20085/100000 [4:04:58<15:25:17, 1.44step/s] Training: 20%|██ | 20086/100000 [4:04:58<14:56:00, 1.49step/s] Training: 20%|██ | 20087/100000 [4:04:59<15:39:15, 1.42step/s] Training: 20%|██ | 20088/100000 [4:05:00<16:08:46, 1.37step/s] Training: 20%|██ | 20089/100000 [4:05:01<16:29:00, 1.35step/s] Training: 20%|██ | 20090/100000 [4:05:01<15:51:47, 1.40step/s] Training: 20%|██ | 20091/100000 [4:05:02<15:11:09, 1.46step/s] Training: 20%|██ | 20092/100000 [4:05:03<15:57:29, 1.39step/s] Training: 20%|██ | 20093/100000 [4:05:03<15:22:55, 1.44step/s] Training: 20%|██ | 20094/100000 [4:05:04<15:08:01, 1.47step/s] Training: 20%|██ | 20095/100000 [4:05:05<15:39:13, 1.42step/s] Training: 20%|██ | 20096/100000 [4:05:06<16:28:56, 1.35step/s] Training: 20%|██ | 20097/100000 [4:05:06<16:46:32, 1.32step/s] Training: 20%|██ | 20098/100000 [4:05:07<15:54:14, 1.40step/s] Training: 20%|██ | 20099/100000 [4:05:08<15:30:01, 1.43step/s] Training: 20%|██ | 20100/100000 [4:05:08<16:11:18, 1.37step/s]INFO 2026-03-12 07:27:24 ot_train.py:435 step:20K smpl:1M ep:4K epch:17.04 loss:0.263 grdn:10.980 lr:1.8e-05 updt_s:0.695 data_s:0.059 Training: 20%|██ | 20101/100000 [4:05:09<15:27:32, 1.44step/s] Training: 20%|██ | 20102/100000 [4:05:10<15:02:42, 1.48step/s] Training: 20%|██ | 20103/100000 [4:05:10<15:42:54, 1.41step/s] Training: 20%|██ | 20104/100000 [4:05:11<16:02:03, 1.38step/s] Training: 20%|██ | 20105/100000 [4:05:12<15:59:26, 1.39step/s] Training: 20%|██ | 20106/100000 [4:05:13<15:18:31, 1.45step/s] Training: 20%|██ | 20107/100000 [4:05:13<14:52:38, 1.49step/s] Training: 20%|██ | 20108/100000 [4:05:14<15:42:38, 1.41step/s] Training: 20%|██ | 20109/100000 [4:05:15<15:02:18, 1.48step/s] Training: 20%|██ | 20110/100000 [4:05:15<14:48:00, 1.50step/s] Training: 20%|██ | 20111/100000 [4:05:16<15:03:11, 1.47step/s] Training: 20%|██ | 20112/100000 [4:05:17<15:51:51, 1.40step/s] Training: 20%|██ | 20113/100000 [4:05:17<16:09:14, 1.37step/s] Training: 20%|██ | 20114/100000 [4:05:18<15:35:24, 1.42step/s] Training: 20%|██ | 20115/100000 [4:05:19<15:16:58, 1.45step/s] Training: 20%|██ | 20116/100000 [4:05:20<15:53:08, 1.40step/s] Training: 20%|██ | 20117/100000 [4:05:20<17:12:39, 1.29step/s] Training: 20%|██ | 20118/100000 [4:05:21<16:05:08, 1.38step/s] Training: 20%|██ | 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20132/100000 [4:05:31<15:44:49, 1.41step/s] Training: 20%|██ | 20133/100000 [4:05:32<15:20:09, 1.45step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=47153 Training: 20%|██ | 20134/100000 [4:05:33<16:34:23, 1.34step/s] Training: 20%|██ | 20135/100000 [4:05:33<16:31:11, 1.34step/s] Training: 20%|██ | 20136/100000 [4:05:34<16:41:48, 1.33step/s] Training: 20%|██ | 20137/100000 [4:05:35<16:23:55, 1.35step/s] Training: 20%|██ | 20138/100000 [4:05:35<15:30:06, 1.43step/s] Training: 20%|██ | 20139/100000 [4:05:36<15:06:51, 1.47step/s] Training: 20%|██ | 20140/100000 [4:05:37<15:27:03, 1.44step/s] Training: 20%|██ | 20141/100000 [4:05:38<16:23:54, 1.35step/s] Training: 20%|██ | 20142/100000 [4:05:38<15:39:48, 1.42step/s] Training: 20%|██ | 20143/100000 [4:05:39<15:49:15, 1.40step/s] Training: 20%|██ | 20144/100000 [4:05:40<16:17:19, 1.36step/s] Training: 20%|██ | 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1.37step/s] Training: 20%|██ | 20193/100000 [4:06:15<16:22:53, 1.35step/s] Training: 20%|██ | 20194/100000 [4:06:16<15:31:01, 1.43step/s] Training: 20%|██ | 20195/100000 [4:06:16<14:54:45, 1.49step/s] Training: 20%|██ | 20196/100000 [4:06:17<15:37:02, 1.42step/s] Training: 20%|██ | 20197/100000 [4:06:18<14:57:49, 1.48step/s] Training: 20%|██ | 20198/100000 [4:06:18<14:29:38, 1.53step/s] Training: 20%|██ | 20199/100000 [4:06:19<15:23:02, 1.44step/s] Training: 20%|██ | 20200/100000 [4:06:20<15:45:52, 1.41step/s]INFO 2026-03-12 07:28:36 ot_train.py:435 step:20K smpl:1M ep:4K epch:17.12 loss:0.236 grdn:10.794 lr:1.8e-05 updt_s:0.698 data_s:0.012 Training: 20%|██ | 20201/100000 [4:06:21<16:21:29, 1.36step/s] Training: 20%|██ | 20202/100000 [4:06:21<15:37:11, 1.42step/s] Training: 20%|██ | 20203/100000 [4:06:22<15:05:59, 1.47step/s] Training: 20%|██ | 20204/100000 [4:06:23<15:27:45, 1.43step/s] Training: 20%|██ | 20205/100000 [4:06:23<15:08:28, 1.46step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=47153 Training: 20%|██ | 20206/100000 [4:06:24<14:53:20, 1.49step/s] Training: 20%|██ | 20207/100000 [4:06:25<16:18:46, 1.36step/s] Training: 20%|██ | 20208/100000 [4:06:25<16:35:28, 1.34step/s] Training: 20%|██ | 20209/100000 [4:06:26<16:47:56, 1.32step/s] Training: 20%|██ | 20210/100000 [4:06:27<15:58:22, 1.39step/s] Training: 20%|██ | 20211/100000 [4:06:28<15:20:13, 1.45step/s] Training: 20%|██ | 20212/100000 [4:06:28<15:51:11, 1.40step/s] Training: 20%|██ | 20213/100000 [4:06:29<15:10:29, 1.46step/s] Training: 20%|██ | 20214/100000 [4:06:30<14:49:13, 1.50step/s] Training: 20%|██ | 20215/100000 [4:06:30<16:03:47, 1.38step/s] Training: 20%|██ | 20216/100000 [4:06:31<16:19:17, 1.36step/s] Training: 20%|██ | 20217/100000 [4:06:32<16:32:26, 1.34step/s] Training: 20%|██ | 20218/100000 [4:06:33<15:51:31, 1.40step/s] Training: 20%|██ | 20219/100000 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20391/100000 [4:08:36<16:15:03, 1.36step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=3755 Training: 20%|██ | 20392/100000 [4:08:36<16:26:00, 1.35step/s] Training: 20%|██ | 20393/100000 [4:08:37<16:36:43, 1.33step/s] Training: 20%|██ | 20394/100000 [4:08:38<15:42:58, 1.41step/s] Training: 20%|██ | 20395/100000 [4:08:38<15:09:11, 1.46step/s] Training: 20%|██ | 20396/100000 [4:08:39<15:17:26, 1.45step/s] Training: 20%|██ | 20397/100000 [4:08:40<16:01:53, 1.38step/s] Training: 20%|██ | 20398/100000 [4:08:41<15:14:58, 1.45step/s] Training: 20%|██ | 20399/100000 [4:08:41<15:19:49, 1.44step/s] Training: 20%|██ | 20400/100000 [4:08:42<16:02:48, 1.38step/s]INFO 2026-03-12 07:30:58 ot_train.py:435 step:20K smpl:1M ep:4K epch:17.29 loss:0.215 grdn:10.254 lr:1.8e-05 updt_s:0.700 data_s:0.012 Training: 20%|██ | 20401/100000 [4:08:43<16:16:01, 1.36step/s] Training: 20%|██ | 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Training: 21%|██ | 20865/100000 [4:14:13<16:04:38, 1.37step/s] Training: 21%|██ | 20866/100000 [4:14:13<16:38:42, 1.32step/s] Training: 21%|██ | 20867/100000 [4:14:14<15:48:41, 1.39step/s] Training: 21%|██ | 20868/100000 [4:14:15<15:12:09, 1.45step/s] Training: 21%|██ | 20869/100000 [4:14:15<15:14:16, 1.44step/s] Training: 21%|██ | 20870/100000 [4:14:16<14:40:01, 1.50step/s] Training: 21%|██ | 20871/100000 [4:14:17<15:15:37, 1.44step/s] Training: 21%|██ | 20872/100000 [4:14:17<15:46:25, 1.39step/s] Training: 21%|██ | 20873/100000 [4:14:18<16:00:59, 1.37step/s] Training: 21%|██ | 20874/100000 [4:14:19<16:09:10, 1.36step/s] Training: 21%|██ | 20875/100000 [4:14:20<16:36:00, 1.32step/s] Training: 21%|██ | 20876/100000 [4:14:20<15:44:28, 1.40step/s] Training: 21%|██ | 20877/100000 [4:14:21<16:07:05, 1.36step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=47153 Training: 21%|██ | 20878/100000 [4:14:22<15:15:31, 1.44step/s] Training: 21%|██ | 20879/100000 [4:14:23<15:19:02, 1.43step/s] Training: 21%|██ | 20880/100000 [4:14:23<15:57:39, 1.38step/s] Training: 21%|██ | 20881/100000 [4:14:24<16:17:27, 1.35step/s] Training: 21%|██ | 20882/100000 [4:14:25<17:28:01, 1.26step/s] Training: 21%|██ | 20883/100000 [4:14:26<16:20:02, 1.35step/s] Training: 21%|██ | 20884/100000 [4:14:26<15:35:14, 1.41step/s] Training: 21%|██ | 20885/100000 [4:14:27<15:56:56, 1.38step/s] Training: 21%|██ | 20886/100000 [4:14:28<15:14:49, 1.44step/s] Training: 21%|██ | 20887/100000 [4:14:28<15:40:08, 1.40step/s] Training: 21%|██ | 20888/100000 [4:14:29<15:59:41, 1.37step/s] Training: 21%|██ | 20889/100000 [4:14:30<16:24:24, 1.34step/s] Training: 21%|██ | 20890/100000 [4:14:31<16:21:43, 1.34step/s] Training: 21%|██ | 20891/100000 [4:14:31<16:46:16, 1.31step/s] Training: 21%|██ | 20892/100000 [4:14:32<15:46:39, 1.39step/s] Training: 21%|██ | 20893/100000 [4:14:33<16:01:43, 1.37step/s] Training: 21%|██ | 20894/100000 [4:14:33<15:24:37, 1.43step/s] Training: 21%|██ | 20895/100000 [4:14:34<15:47:42, 1.39step/s] Training: 21%|██ | 20896/100000 [4:14:35<15:45:01, 1.40step/s] Training: 21%|██ | 20897/100000 [4:14:36<15:58:49, 1.38step/s] Training: 21%|██ | 20898/100000 [4:14:36<16:02:45, 1.37step/s] Training: 21%|██ | 20899/100000 [4:14:37<16:30:01, 1.33step/s] Training: 21%|██ | 20900/100000 [4:14:38<15:38:14, 1.41step/s]INFO 2026-03-12 07:36:54 ot_train.py:435 step:21K smpl:1M ep:5K epch:17.71 loss:0.244 grdn:11.232 lr:1.8e-05 updt_s:0.697 data_s:0.012 Training: 21%|██ | 20901/100000 [4:14:39<15:34:08, 1.41step/s] Training: 21%|██ | 20902/100000 [4:14:39<15:02:06, 1.46step/s] Training: 21%|██ | 20903/100000 [4:14:40<15:33:48, 1.41step/s] Training: 21%|██ | 20904/100000 [4:14:41<15:54:45, 1.38step/s] Training: 21%|██ | 20905/100000 [4:14:42<16:17:44, 1.35step/s] Training: 21%|██ | 20906/100000 [4:14:42<16:37:31, 1.32step/s] Training: 21%|██ | 20907/100000 [4:14:43<16:54:16, 1.30step/s] Training: 21%|██ | 20908/100000 [4:14:44<15:59:51, 1.37step/s] Training: 21%|██ | 20909/100000 [4:14:44<16:13:11, 1.35step/s] Training: 21%|██ | 20910/100000 [4:14:45<15:35:52, 1.41step/s] Training: 21%|██ | 20911/100000 [4:14:46<15:42:34, 1.40step/s] Training: 21%|██ | 20912/100000 [4:14:47<16:05:38, 1.37step/s] Training: 21%|██ | 20913/100000 [4:14:47<16:20:27, 1.34step/s] Training: 21%|██ | 20914/100000 [4:14:48<16:14:41, 1.35step/s] Training: 21%|██ | 20915/100000 [4:14:49<16:27:28, 1.33step/s] Training: 21%|██ | 20916/100000 [4:14:50<15:37:35, 1.41step/s] Training: 21%|██ | 20917/100000 [4:14:50<16:03:21, 1.37step/s] Training: 21%|██ | 20918/100000 [4:14:51<15:20:19, 1.43step/s] Training: 21%|██ | 20919/100000 [4:14:52<15:45:17, 1.39step/s] Training: 21%|██ | 20920/100000 [4:14:52<16:16:12, 1.35step/s] Training: 21%|██ | 20921/100000 [4:14:53<16:36:21, 1.32step/s] Training: 21%|██ | 20922/100000 [4:14:54<16:27:45, 1.33step/s] Training: 21%|██ | 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Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) [Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=3188 Training: 21%|██ | 21241/100000 [4:18:48<44:08:05, 2.02s/step] Training: 21%|██ | 21242/100000 [4:18:49<36:29:50, 1.67s/step] Training: 21%|██ | 21243/100000 [4:18:50<29:49:07, 1.36s/step] Training: 21%|██ | 21244/100000 [4:18:50<25:02:55, 1.14s/step] Training: 21%|██ | 21245/100000 [4:18:51<23:00:20, 1.05s/step] Training: 21%|██ | 21246/100000 [4:18:52<21:04:36, 1.04step/s] Training: 21%|██ | 21247/100000 [4:18:53<19:38:36, 1.11step/s] Training: 21%|██ | 21248/100000 [4:18:53<18:42:24, 1.17step/s] Training: 21%|██ | 21249/100000 [4:18:54<18:20:15, 1.19step/s] Training: 21%|██▏ | 21250/100000 [4:18:55<17:42:20, 1.24step/s] Training: 21%|██▏ 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[4:21:46<17:03:08, 1.28step/s] Training: 21%|██▏ | 21493/100000 [4:21:47<16:02:06, 1.36step/s] Training: 21%|██▏ | 21494/100000 [4:21:47<15:55:10, 1.37step/s] Training: 21%|██▏ | 21495/100000 [4:21:48<15:15:25, 1.43step/s] Training: 21%|██▏ | 21496/100000 [4:21:49<15:23:22, 1.42step/s] Training: 21%|██▏ | 21497/100000 [4:21:49<15:51:36, 1.37step/s] Training: 21%|██▏ | 21498/100000 [4:21:50<16:08:01, 1.35step/s] Training: 21%|██▏ | 21499/100000 [4:21:51<15:16:24, 1.43step/s] Training: 22%|██▏ | 21500/100000 [4:21:52<15:25:43, 1.41step/s]INFO 2026-03-12 07:44:07 ot_train.py:435 step:22K smpl:1M ep:5K epch:18.22 loss:0.214 grdn:10.806 lr:1.8e-05 updt_s:0.694 data_s:0.012 Training: 22%|██▏ | 21501/100000 [4:21:52<14:54:49, 1.46step/s] Training: 22%|██▏ | 21502/100000 [4:21:53<15:13:20, 1.43step/s] Training: 22%|██▏ | 21503/100000 [4:21:54<14:50:52, 1.47step/s] Training: 22%|██▏ | 21504/100000 [4:21:54<15:06:08, 1.44step/s] Training: 22%|██▏ | 21505/100000 [4:21:55<15:49:22, 1.38step/s] 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[4:23:11<15:28:04, 1.41step/s] Training: 22%|██▏ | 21613/100000 [4:23:12<14:54:47, 1.46step/s] Training: 22%|██▏ | 21614/100000 [4:23:12<15:27:40, 1.41step/s] Training: 22%|██▏ | 21615/100000 [4:23:13<15:53:28, 1.37step/s] Training: 22%|██▏ | 21616/100000 [4:23:14<16:08:13, 1.35step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=60212 Training: 22%|██▏ | 21617/100000 [4:23:15<16:10:22, 1.35step/s] Training: 22%|██▏ | 21618/100000 [4:23:15<16:18:16, 1.34step/s] Training: 22%|██▏ | 21619/100000 [4:23:16<16:14:44, 1.34step/s] Training: 22%|██▏ | 21620/100000 [4:23:17<15:27:08, 1.41step/s] Training: 22%|██▏ | 21621/100000 [4:23:17<14:58:57, 1.45step/s] Training: 22%|██▏ | 21622/100000 [4:23:18<15:06:52, 1.44step/s] Training: 22%|██▏ | 21623/100000 [4:23:19<14:40:09, 1.48step/s] Training: 22%|██▏ | 21624/100000 [4:23:19<15:17:00, 1.42step/s] Training: 22%|██▏ | 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22%|██▏ | 21700/100000 [4:24:13<15:19:24, 1.42step/s]INFO 2026-03-12 07:46:29 ot_train.py:435 step:22K smpl:1M ep:5K epch:18.39 loss:0.223 grdn:10.821 lr:1.8e-05 updt_s:0.698 data_s:0.012 Training: 22%|██▏ | 21701/100000 [4:24:14<14:54:45, 1.46step/s] Training: 22%|██▏ | 21702/100000 [4:24:15<15:18:37, 1.42step/s] Training: 22%|██▏ | 21703/100000 [4:24:15<14:50:01, 1.47step/s] Training: 22%|██▏ | 21704/100000 [4:24:16<14:28:06, 1.50step/s] Training: 22%|██▏ | 21705/100000 [4:24:17<16:03:12, 1.35step/s] Training: 22%|██▏ | 21706/100000 [4:24:18<16:18:20, 1.33step/s] Training: 22%|██▏ | 21707/100000 [4:24:18<16:01:26, 1.36step/s] Training: 22%|██▏ | 21708/100000 [4:24:19<15:09:46, 1.43step/s] Training: 22%|██▏ | 21709/100000 [4:24:20<14:41:57, 1.48step/s] Training: 22%|██▏ | 21710/100000 [4:24:20<15:18:57, 1.42step/s] Training: 22%|██▏ | 21711/100000 [4:24:21<14:57:38, 1.45step/s] Training: 22%|██▏ | 21712/100000 [4:24:22<15:30:34, 1.40step/s] Training: 22%|██▏ | 21713/100000 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[4:25:17<16:22:21, 1.33step/s] Training: 22%|██▏ | 21789/100000 [4:25:18<15:23:53, 1.41step/s] Training: 22%|██▏ | 21790/100000 [4:25:18<15:29:23, 1.40step/s] Training: 22%|██▏ | 21791/100000 [4:25:19<15:00:26, 1.45step/s] Training: 22%|██▏ | 21792/100000 [4:25:20<15:17:51, 1.42step/s] Training: 22%|██▏ | 21793/100000 [4:25:20<15:49:19, 1.37step/s] Training: 22%|██▏ | 21794/100000 [4:25:21<15:38:18, 1.39step/s] Training: 22%|██▏ | 21795/100000 [4:25:22<15:37:05, 1.39step/s] Training: 22%|██▏ | 21796/100000 [4:25:23<15:39:47, 1.39step/s] Training: 22%|██▏ | 21797/100000 [4:25:23<14:54:45, 1.46step/s] Training: 22%|██▏ | 21798/100000 [4:25:24<15:20:28, 1.42step/s] Training: 22%|██▏ | 21799/100000 [4:25:25<14:51:24, 1.46step/s] Training: 22%|██▏ | 21800/100000 [4:25:25<14:29:15, 1.50step/s]INFO 2026-03-12 07:47:41 ot_train.py:435 step:22K smpl:1M ep:5K epch:18.48 loss:0.220 grdn:11.029 lr:1.8e-05 updt_s:0.703 data_s:0.012 Training: 22%|██▏ | 21801/100000 [4:25:26<16:01:33, 1.36step/s] 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[4:26:31<15:06:49, 1.44step/s] Training: 22%|██▏ | 21893/100000 [4:26:31<14:37:06, 1.48step/s] Training: 22%|██▏ | 21894/100000 [4:26:32<15:22:28, 1.41step/s] Training: 22%|██▏ | 21895/100000 [4:26:33<15:34:15, 1.39step/s] Training: 22%|██▏ | 21896/100000 [4:26:33<14:59:07, 1.45step/s] Training: 22%|██▏ | 21897/100000 [4:26:34<15:48:48, 1.37step/s] Training: 22%|██▏ | 21898/100000 [4:26:35<16:18:22, 1.33step/s] Training: 22%|██▏ | 21899/100000 [4:26:36<16:37:39, 1.30step/s] Training: 22%|██▏ | 21900/100000 [4:26:36<15:51:41, 1.37step/s]INFO 2026-03-12 07:48:52 ot_train.py:435 step:22K smpl:1M ep:5K epch:18.56 loss:0.227 grdn:10.728 lr:1.8e-05 updt_s:0.698 data_s:0.012 Training: 22%|██▏ | 21901/100000 [4:26:37<15:13:09, 1.43step/s] Training: 22%|██▏ | 21902/100000 [4:26:38<15:40:03, 1.38step/s] Training: 22%|██▏ | 21903/100000 [4:26:38<15:02:48, 1.44step/s] Training: 22%|██▏ | 21904/100000 [4:26:39<15:34:35, 1.39step/s] Training: 22%|██▏ | 21905/100000 [4:26:40<15:52:13, 1.37step/s] 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[4:27:35<14:30:14, 1.49step/s] Training: 22%|██▏ | 21984/100000 [4:27:35<14:12:40, 1.52step/s] Training: 22%|██▏ | 21985/100000 [4:27:36<15:04:26, 1.44step/s] Training: 22%|██▏ | 21986/100000 [4:27:37<15:25:12, 1.41step/s] Training: 22%|██▏ | 21987/100000 [4:27:38<15:53:08, 1.36step/s] Training: 22%|██▏ | 21988/100000 [4:27:38<15:10:38, 1.43step/s] Training: 22%|██▏ | 21989/100000 [4:27:39<14:39:58, 1.48step/s] Training: 22%|██▏ | 21990/100000 [4:27:40<15:15:36, 1.42step/s] Training: 22%|██▏ | 21991/100000 [4:27:40<14:38:28, 1.48step/s] Training: 22%|██▏ | 21992/100000 [4:27:41<14:19:19, 1.51step/s] Training: 22%|██▏ | 21993/100000 [4:27:42<15:13:07, 1.42step/s] Training: 22%|██▏ | 21994/100000 [4:27:42<15:40:41, 1.38step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=4211 Training: 22%|██▏ | 21995/100000 [4:27:43<16:06:59, 1.34step/s] Training: 22%|██▏ | 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[4:32:39<14:20:01, 1.50step/s] Training: 22%|██▏ | 22418/100000 [4:32:40<14:42:07, 1.47step/s] Training: 22%|██▏ | 22419/100000 [4:32:40<14:40:56, 1.47step/s] Training: 22%|██▏ | 22420/100000 [4:32:43<23:55:33, 1.11s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 22%|██▏ | 22421/100000 [4:32:47<42:13:15, 1.96s/step] Training: 22%|██▏ | 22422/100000 [4:32:47<35:44:50, 1.66s/step] Training: 22%|██▏ | 22423/100000 [4:32:48<30:27:10, 1.41s/step] Training: 22%|██▏ | 22424/100000 [4:32:49<25:25:42, 1.18s/step] Training: 22%|██▏ | 22425/100000 [4:32:50<23:05:31, 1.07s/step] Training: 22%|██▏ | 22426/100000 [4:32:51<21:04:14, 1.02step/s] Training: 22%|██▏ | 22427/100000 [4:32:51<19:54:16, 1.08step/s] Training: 22%|██▏ | 22428/100000 [4:32:52<19:11:13, 1.12step/s] Training: 22%|██▏ | 22429/100000 [4:32:53<17:28:04, 1.23step/s] Training: 22%|██▏ | 22430/100000 [4:32:54<17:16:36, 1.25step/s] Training: 22%|██▏ | 22431/100000 [4:32:54<17:18:27, 1.24step/s] Training: 22%|██▏ | 22432/100000 [4:32:55<16:14:35, 1.33step/s] Training: 22%|██▏ | 22433/100000 [4:32:56<16:24:15, 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[4:36:05<15:44:18, 1.36step/s]INFO 2026-03-12 07:58:20 ot_train.py:435 step:23K smpl:1M ep:5K epch:19.24 loss:0.198 grdn:11.458 lr:1.8e-05 updt_s:0.697 data_s:0.012 Training: 23%|██▎ | 22701/100000 [4:36:05<15:04:42, 1.42step/s] Training: 23%|██▎ | 22702/100000 [4:36:06<15:38:43, 1.37step/s] Training: 23%|██▎ | 22703/100000 [4:36:07<15:41:48, 1.37step/s] Training: 23%|██▎ | 22704/100000 [4:36:07<14:54:11, 1.44step/s] Training: 23%|██▎ | 22705/100000 [4:36:08<15:29:58, 1.39step/s] Training: 23%|██▎ | 22706/100000 [4:36:09<16:04:27, 1.34step/s] Training: 23%|██▎ | 22707/100000 [4:36:10<15:20:48, 1.40step/s] Training: 23%|██▎ | 22708/100000 [4:36:10<15:54:34, 1.35step/s] Training: 23%|██▎ | 22709/100000 [4:36:11<15:16:47, 1.41step/s] Training: 23%|██▎ | 22710/100000 [4:36:12<15:45:14, 1.36step/s] Training: 23%|██▎ | 22711/100000 [4:36:12<15:37:55, 1.37step/s] Training: 23%|██▎ | 22712/100000 [4:36:13<15:01:43, 1.43step/s] Training: 23%|██▎ | 22713/100000 [4:36:14<15:26:19, 1.39step/s] 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loss:0.206 grdn:11.043 lr:1.8e-05 updt_s:0.701 data_s:0.012 Training: 23%|██▎ | 23001/100000 [4:39:38<15:28:12, 1.38step/s] Training: 23%|██▎ | 23002/100000 [4:39:39<16:01:22, 1.33step/s] Training: 23%|██▎ | 23003/100000 [4:39:39<15:15:12, 1.40step/s] Training: 23%|██▎ | 23004/100000 [4:39:40<15:34:16, 1.37step/s] Training: 23%|██▎ | 23005/100000 [4:39:41<15:51:36, 1.35step/s] Training: 23%|██▎ | 23006/100000 [4:39:41<15:39:09, 1.37step/s] Training: 23%|██▎ | 23007/100000 [4:39:42<14:54:58, 1.43step/s] Training: 23%|██▎ | 23008/100000 [4:39:43<15:00:41, 1.42step/s] Training: 23%|██▎ | 23009/100000 [4:39:44<15:22:48, 1.39step/s] Training: 23%|██▎ | 23010/100000 [4:39:44<15:16:41, 1.40step/s] Training: 23%|██▎ | 23011/100000 [4:39:45<14:44:52, 1.45step/s] Training: 23%|██▎ | 23012/100000 [4:39:46<15:10:53, 1.41step/s] Training: 23%|██▎ | 23013/100000 [4:39:46<15:42:02, 1.36step/s] Training: 23%|██▎ | 23014/100000 [4:39:47<15:42:43, 1.36step/s] Training: 23%|██▎ | 23015/100000 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tolerance_s=2, retrying with idx=13919 Training: 23%|██▎ | 23164/100000 [4:41:35<15:18:07, 1.39step/s] Training: 23%|██▎ | 23165/100000 [4:41:36<15:38:50, 1.36step/s] Training: 23%|██▎ | 23166/100000 [4:41:36<14:58:01, 1.43step/s] Training: 23%|██▎ | 23167/100000 [4:41:37<14:23:15, 1.48step/s] Training: 23%|██▎ | 23168/100000 [4:41:38<14:35:25, 1.46step/s] Training: 23%|██▎ | 23169/100000 [4:41:38<15:04:58, 1.41step/s] Training: 23%|██▎ | 23170/100000 [4:41:39<15:45:14, 1.35step/s] Training: 23%|██▎ | 23171/100000 [4:41:40<15:07:08, 1.41step/s] Training: 23%|██▎ | 23172/100000 [4:41:41<15:41:44, 1.36step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=26660 Training: 23%|██▎ | 23173/100000 [4:41:41<15:56:49, 1.34step/s] Training: 23%|██▎ | 23174/100000 [4:41:42<15:11:38, 1.40step/s] Training: 23%|██▎ | 23175/100000 [4:41:43<14:30:30, 1.47step/s] Training: 23%|██▎ 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1.48step/s] Training: 23%|██▎ | 23192/100000 [4:41:55<14:57:08, 1.43step/s] Training: 23%|██▎ | 23193/100000 [4:41:55<15:09:54, 1.41step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=69588 Training: 23%|██▎ | 23194/100000 [4:41:56<15:16:43, 1.40step/s] Training: 23%|██▎ | 23195/100000 [4:41:57<15:40:13, 1.36step/s] Training: 23%|██▎ | 23196/100000 [4:41:58<16:05:01, 1.33step/s] Training: 23%|██▎ | 23197/100000 [4:41:58<16:11:55, 1.32step/s] Training: 23%|██▎ | 23198/100000 [4:41:59<15:22:19, 1.39step/s] Training: 23%|██▎ | 23199/100000 [4:42:00<14:49:32, 1.44step/s] Training: 23%|██▎ | 23200/100000 [4:42:00<15:15:54, 1.40step/s]INFO 2026-03-12 08:04:16 ot_train.py:435 step:23K smpl:1M ep:5K epch:19.66 loss:0.214 grdn:11.299 lr:1.8e-05 updt_s:0.697 data_s:0.013 Training: 23%|██▎ | 23201/100000 [4:42:01<15:33:08, 1.37step/s] Training: 23%|██▎ | 23202/100000 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[4:43:08<15:15:38, 1.40step/s] Training: 23%|██▎ | 23296/100000 [4:43:09<15:26:07, 1.38step/s] Training: 23%|██▎ | 23297/100000 [4:43:10<15:43:56, 1.35step/s] Training: 23%|██▎ | 23298/100000 [4:43:10<15:42:11, 1.36step/s] Training: 23%|██▎ | 23299/100000 [4:43:11<15:00:04, 1.42step/s] Training: 23%|██▎ | 23300/100000 [4:43:12<15:24:07, 1.38step/s]INFO 2026-03-12 08:05:28 ot_train.py:435 step:23K smpl:1M ep:5K epch:19.75 loss:0.211 grdn:10.527 lr:1.8e-05 updt_s:0.698 data_s:0.013 Training: 23%|██▎ | 23301/100000 [4:43:12<15:41:12, 1.36step/s] Training: 23%|██▎ | 23302/100000 [4:43:13<15:42:02, 1.36step/s] Training: 23%|██▎ | 23303/100000 [4:43:14<14:56:58, 1.43step/s] Training: 23%|██▎ | 23304/100000 [4:43:15<15:06:12, 1.41step/s] Training: 23%|██▎ | 23305/100000 [4:43:15<15:30:27, 1.37step/s] Training: 23%|██▎ | 23306/100000 [4:43:16<14:43:26, 1.45step/s] Training: 23%|██▎ | 23307/100000 [4:43:17<15:06:26, 1.41step/s] Training: 23%|██▎ | 23308/100000 [4:43:17<15:28:37, 1.38step/s] 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[4:46:46<14:24:46, 1.47step/s] Training: 24%|██▎ | 23600/100000 [4:46:48<24:31:05, 1.16s/step]INFO 2026-03-12 08:09:04 ot_train.py:435 step:24K smpl:2M ep:5K epch:20.00 loss:0.214 grdn:11.395 lr:1.8e-05 updt_s:0.699 data_s:0.028 huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 24%|██▎ | 23601/100000 [4:46:53<44:51:30, 2.11s/step] Training: 24%|██▎ | 23602/100000 [4:46:53<36:17:59, 1.71s/step] Training: 24%|██▎ | 23603/100000 [4:46:54<29:24:35, 1.39s/step] Training: 24%|██▎ | 23604/100000 [4:46:55<24:36:42, 1.16s/step] Training: 24%|██▎ | 23605/100000 [4:46:56<22:24:23, 1.06s/step] Training: 24%|██▎ | 23606/100000 [4:46:56<20:54:26, 1.01step/s] Training: 24%|██▎ | 23607/100000 [4:46:57<19:44:06, 1.08step/s] Training: 24%|██▎ | 23608/100000 [4:46:58<19:00:35, 1.12step/s] Training: 24%|██▎ | 23609/100000 [4:46:59<18:14:18, 1.16step/s] Training: 24%|██▎ | 23610/100000 [4:47:00<18:01:17, 1.18step/s] Training: 24%|██▎ | 23611/100000 [4:47:00<16:38:57, 1.27step/s] Training: 24%|██▎ | 23612/100000 [4:47:01<15:45:35, 1.35step/s] Training: 24%|██▎ | 23613/100000 [4:47:02<16:04:16, 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1.42step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=73528 Training: 24%|██▍ | 23980/100000 [4:51:24<14:23:06, 1.47step/s] Training: 24%|██▍ | 23981/100000 [4:51:25<15:01:54, 1.40step/s] Training: 24%|██▍ | 23982/100000 [4:51:26<15:02:05, 1.40step/s] Training: 24%|██▍ | 23983/100000 [4:51:26<14:34:06, 1.45step/s] Training: 24%|██▍ | 23984/100000 [4:51:27<14:53:06, 1.42step/s] Training: 24%|██▍ | 23985/100000 [4:51:28<15:28:45, 1.36step/s] Training: 24%|██▍ | 23986/100000 [4:51:29<15:26:55, 1.37step/s] Training: 24%|██▍ | 23987/100000 [4:51:29<14:46:44, 1.43step/s] Training: 24%|██▍ | 23988/100000 [4:51:30<14:21:42, 1.47step/s] Training: 24%|██▍ | 23989/100000 [4:51:31<14:54:27, 1.42step/s] Training: 24%|██▍ | 23990/100000 [4:51:31<15:06:06, 1.40step/s] Training: 24%|██▍ | 23991/100000 [4:51:32<14:33:12, 1.45step/s] Training: 24%|██▍ | 23992/100000 [4:51:33<15:19:57, 1.38step/s] Training: 24%|██▍ | 23993/100000 [4:51:34<15:22:41, 1.37step/s] Training: 24%|██▍ | 23994/100000 [4:51:34<15:48:42, 1.34step/s] Training: 24%|██▍ | 23995/100000 [4:51:35<15:07:31, 1.40step/s] Training: 24%|██▍ | 23996/100000 [4:51:36<14:28:49, 1.46step/s] Training: 24%|██▍ | 23997/100000 [4:51:36<14:54:08, 1.42step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=71523 Training: 24%|██▍ | 23998/100000 [4:51:37<15:20:24, 1.38step/s] Training: 24%|██▍ | 23999/100000 [4:51:38<14:46:29, 1.43step/s] Training: 24%|██▍ | 24000/100000 [4:51:38<14:55:38, 1.41step/s]INFO 2026-03-12 08:13:54 ot_train.py:435 step:24K smpl:2M ep:5K epch:20.34 loss:0.198 grdn:10.142 lr:1.7e-05 updt_s:0.702 data_s:0.012 Training: 24%|██▍ | 24001/100000 [4:51:39<15:28:53, 1.36step/s] Training: 24%|██▍ | 24002/100000 [4:51:40<15:28:48, 1.36step/s] Training: 24%|██▍ | 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[4:55:37<14:30:56, 1.45step/s] Training: 24%|██▍ | 24336/100000 [4:55:38<14:57:41, 1.40step/s] Training: 24%|██▍ | 24337/100000 [4:55:39<15:36:12, 1.35step/s] Training: 24%|██▍ | 24338/100000 [4:55:40<14:46:35, 1.42step/s] Training: 24%|██▍ | 24339/100000 [4:55:40<15:20:30, 1.37step/s] Training: 24%|██▍ | 24340/100000 [4:55:41<14:38:06, 1.44step/s] Training: 24%|██▍ | 24341/100000 [4:55:42<14:51:05, 1.42step/s] Training: 24%|██▍ | 24342/100000 [4:55:42<15:24:16, 1.36step/s] Training: 24%|██▍ | 24343/100000 [4:55:43<14:47:32, 1.42step/s] Training: 24%|██▍ | 24344/100000 [4:55:44<14:47:12, 1.42step/s] Training: 24%|██▍ | 24345/100000 [4:55:45<15:12:03, 1.38step/s] Training: 24%|██▍ | 24346/100000 [4:55:45<15:38:32, 1.34step/s] Training: 24%|██▍ | 24347/100000 [4:55:46<15:23:10, 1.37step/s] Training: 24%|██▍ | 24348/100000 [4:55:47<14:34:21, 1.44step/s] Training: 24%|██▍ | 24349/100000 [4:55:47<15:08:42, 1.39step/s] Training: 24%|██▍ | 24350/100000 [4:55:48<15:24:25, 1.36step/s] Training: 24%|██▍ | 24351/100000 [4:55:49<14:44:08, 1.43step/s] Training: 24%|██▍ | 24352/100000 [4:55:50<14:44:44, 1.43step/s] Training: 24%|██▍ | 24353/100000 [4:55:50<15:03:29, 1.40step/s] Training: 24%|██▍ | 24354/100000 [4:55:51<14:30:11, 1.45step/s] Training: 24%|██▍ | 24355/100000 [4:55:52<15:07:06, 1.39step/s] Training: 24%|██▍ | 24356/100000 [4:55:52<14:30:33, 1.45step/s] Training: 24%|██▍ | 24357/100000 [4:55:53<15:02:04, 1.40step/s] Training: 24%|██▍ | 24358/100000 [4:55:54<14:57:07, 1.41step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=61138 Training: 24%|██▍ | 24359/100000 [4:55:54<14:17:33, 1.47step/s] Training: 24%|██▍ | 24360/100000 [4:55:55<14:46:23, 1.42step/s] Training: 24%|██▍ | 24361/100000 [4:55:56<15:05:41, 1.39step/s] Training: 24%|██▍ | 24362/100000 [4:55:57<14:27:16, 1.45step/s] Training: 24%|██▍ | 24363/100000 [4:55:57<15:07:27, 1.39step/s] Training: 24%|██▍ | 24364/100000 [4:55:58<14:25:02, 1.46step/s] Training: 24%|██▍ | 24365/100000 [4:55:59<15:04:54, 1.39step/s] Training: 24%|██▍ | 24366/100000 [4:56:00<15:20:52, 1.37step/s] Training: 24%|██▍ | 24367/100000 [4:56:00<14:36:32, 1.44step/s] Training: 24%|██▍ | 24368/100000 [4:56:01<14:54:11, 1.41step/s] Training: 24%|██▍ | 24369/100000 [4:56:02<15:19:12, 1.37step/s] Training: 24%|██▍ | 24370/100000 [4:56:02<14:45:27, 1.42step/s] Training: 24%|██▍ | 24371/100000 [4:56:03<15:23:16, 1.37step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=23665 Training: 24%|██▍ | 24372/100000 [4:56:04<14:48:22, 1.42step/s] Training: 24%|██▍ | 24373/100000 [4:56:05<15:24:13, 1.36step/s] Training: 24%|██▍ | 24374/100000 [4:56:05<15:43:48, 1.34step/s] Training: 24%|██▍ | 24375/100000 [4:56:06<15:00:47, 1.40step/s] Training: 24%|██▍ | 24376/100000 [4:56:07<15:31:55, 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Training: 25%|██▍ | 24691/100000 [4:59:53<15:29:51, 1.35step/s] Training: 25%|██▍ | 24692/100000 [4:59:53<15:29:45, 1.35step/s] Training: 25%|██▍ | 24693/100000 [4:59:54<15:15:59, 1.37step/s] Training: 25%|██▍ | 24694/100000 [4:59:55<14:36:37, 1.43step/s] Training: 25%|██▍ | 24695/100000 [4:59:55<14:54:31, 1.40step/s] Training: 25%|██▍ | 24696/100000 [4:59:56<14:58:43, 1.40step/s] Training: 25%|██▍ | 24697/100000 [4:59:57<14:54:21, 1.40step/s] Training: 25%|██▍ | 24698/100000 [4:59:58<14:54:02, 1.40step/s] Training: 25%|██▍ | 24699/100000 [4:59:58<15:08:29, 1.38step/s] Training: 25%|██▍ | 24700/100000 [4:59:59<15:17:47, 1.37step/s]INFO 2026-03-12 08:22:15 ot_train.py:435 step:25K smpl:2M ep:5K epch:20.94 loss:0.217 grdn:11.214 lr:1.7e-05 updt_s:0.712 data_s:0.012 Training: 25%|██▍ | 24701/100000 [5:00:00<15:23:35, 1.36step/s] Training: 25%|██▍ | 24702/100000 [5:00:01<15:32:14, 1.35step/s] Training: 25%|██▍ | 24703/100000 [5:00:01<14:47:16, 1.41step/s] Training: 25%|██▍ | 24704/100000 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25%|██▍ | 24751/100000 [5:00:36<14:52:31, 1.41step/s] Training: 25%|██▍ | 24752/100000 [5:00:36<14:31:26, 1.44step/s] Training: 25%|██▍ | 24753/100000 [5:00:37<14:52:26, 1.41step/s] Training: 25%|██▍ | 24754/100000 [5:00:38<14:54:14, 1.40step/s] Training: 25%|██▍ | 24755/100000 [5:00:39<15:07:44, 1.38step/s] Training: 25%|██▍ | 24756/100000 [5:00:39<14:30:50, 1.44step/s] Training: 25%|██▍ | 24757/100000 [5:00:40<14:44:02, 1.42step/s] Training: 25%|██▍ | 24758/100000 [5:00:41<15:26:11, 1.35step/s] Training: 25%|██▍ | 24759/100000 [5:00:41<14:40:46, 1.42step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=73932 Training: 25%|██▍ | 24760/100000 [5:00:42<15:00:52, 1.39step/s] Training: 25%|██▍ | 24761/100000 [5:00:43<15:22:35, 1.36step/s] Training: 25%|██▍ | 24762/100000 [5:00:44<15:15:45, 1.37step/s] Training: 25%|██▍ | 24763/100000 [5:00:44<15:08:48, 1.38step/s] 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[5:00:55<14:32:57, 1.44step/s] Training: 25%|██▍ | 24780/100000 [5:00:57<22:54:56, 1.10s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISMTOKENIZERS_PARALLELISM=(true | false) =(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 25%|██▍ | 24781/100000 [5:01:01<42:07:22, 2.02s/step] Training: 25%|██▍ | 24782/100000 [5:01:02<34:33:51, 1.65s/step] Training: 25%|██▍ | 24783/100000 [5:01:03<29:26:59, 1.41s/step] Training: 25%|██▍ | 24784/100000 [5:01:04<25:34:08, 1.22s/step] Training: 25%|██▍ | 24785/100000 [5:01:05<23:00:54, 1.10s/step] Training: 25%|██▍ | 24786/100000 [5:01:05<21:06:23, 1.01s/step] Training: 25%|██▍ | 24787/100000 [5:01:06<19:43:57, 1.06step/s] Training: 25%|██▍ | 24788/100000 [5:01:07<17:47:14, 1.17step/s] Training: 25%|██▍ | 24789/100000 [5:01:08<17:26:55, 1.20step/s] Training: 25%|██▍ | 24790/100000 [5:01:08<17:09:58, 1.22step/s] Training: 25%|██▍ | 24791/100000 [5:01:09<16:52:33, 1.24step/s] Training: 25%|██▍ | 24792/100000 [5:01:10<16:25:09, 1.27step/s] Training: 25%|██▍ | 24793/100000 [5:01:11<16:27:24, 1.27step/s] Training: 25%|██▍ | 24794/100000 [5:01:11<15:59:10, 1.31step/s] Training: 25%|██▍ | 24795/100000 [5:01:12<15:32:06, 1.34step/s] Training: 25%|██▍ | 24796/100000 [5:01:13<14:49:10, 1.41step/s] Training: 25%|██▍ | 24797/100000 [5:01:13<15:09:55, 1.38step/s] Training: 25%|██▍ | 24798/100000 [5:01:14<15:20:08, 1.36step/s] Training: 25%|██▍ | 24799/100000 [5:01:15<15:08:37, 1.38step/s] Training: 25%|██▍ | 24800/100000 [5:01:16<14:59:57, 1.39step/s]INFO 2026-03-12 08:23:32 ot_train.py:435 step:25K smpl:2M ep:5K epch:21.02 loss:0.201 grdn:10.498 lr:1.7e-05 updt_s:0.705 data_s:0.059 Training: 25%|██▍ | 24801/100000 [5:01:16<15:05:19, 1.38step/s] Training: 25%|██▍ | 24802/100000 [5:01:17<15:22:27, 1.36step/s] Training: 25%|██▍ | 24803/100000 [5:01:18<15:50:50, 1.32step/s] Training: 25%|██▍ | 24804/100000 [5:01:19<15:07:09, 1.38step/s] Training: 25%|██▍ | 24805/100000 [5:01:19<15:31:27, 1.35step/s] Training: 25%|██▍ | 24806/100000 [5:01:20<15:15:33, 1.37step/s] Training: 25%|██▍ | 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1.35step/s] Training: 25%|██▍ | 24823/100000 [5:01:33<15:38:47, 1.33step/s] Training: 25%|██▍ | 24824/100000 [5:01:34<15:41:13, 1.33step/s] Training: 25%|██▍ | 24825/100000 [5:01:34<15:47:58, 1.32step/s] Training: 25%|██▍ | 24826/100000 [5:01:35<15:32:11, 1.34step/s] Training: 25%|██▍ | 24827/100000 [5:01:36<14:39:18, 1.42step/s] Training: 25%|██▍ | 24828/100000 [5:01:36<14:56:28, 1.40step/s] Training: 25%|██▍ | 24829/100000 [5:01:37<15:00:38, 1.39step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=59011 Training: 25%|██▍ | 24830/100000 [5:01:38<15:16:00, 1.37step/s] Training: 25%|██▍ | 24831/100000 [5:01:38<14:36:02, 1.43step/s] Training: 25%|██▍ | 24832/100000 [5:01:39<15:14:41, 1.37step/s] Training: 25%|██▍ | 24833/100000 [5:01:40<15:01:05, 1.39step/s] Training: 25%|██▍ | 24834/100000 [5:01:41<15:11:49, 1.37step/s] Training: 25%|██▍ | 24835/100000 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Training: 25%|██▍ | 24911/100000 [5:02:37<15:00:07, 1.39step/s] Training: 25%|██▍ | 24912/100000 [5:02:37<15:11:59, 1.37step/s] Training: 25%|██▍ | 24913/100000 [5:02:38<15:23:32, 1.36step/s] Training: 25%|██▍ | 24914/100000 [5:02:39<15:37:40, 1.33step/s] Training: 25%|██▍ | 24915/100000 [5:02:40<15:55:54, 1.31step/s] Training: 25%|██▍ | 24916/100000 [5:02:40<15:11:58, 1.37step/s] Training: 25%|██▍ | 24917/100000 [5:02:41<15:26:27, 1.35step/s] Training: 25%|██▍ | 24918/100000 [5:02:42<15:37:06, 1.34step/s] Training: 25%|██▍ | 24919/100000 [5:02:43<14:50:29, 1.41step/s] Training: 25%|██▍ | 24920/100000 [5:02:43<15:09:05, 1.38step/s] Training: 25%|██▍ | 24921/100000 [5:02:44<15:27:33, 1.35step/s] Training: 25%|██▍ | 24922/100000 [5:02:45<15:51:07, 1.32step/s] Training: 25%|██▍ | 24923/100000 [5:02:46<15:19:49, 1.36step/s] Training: 25%|██▍ | 24924/100000 [5:02:46<14:37:49, 1.43step/s] Training: 25%|██▍ | 24925/100000 [5:02:47<14:59:53, 1.39step/s] Training: 25%|██▍ | 24926/100000 [5:02:48<15:14:25, 1.37step/s] Training: 25%|██▍ | 24927/100000 [5:02:48<14:27:13, 1.44step/s] Training: 25%|██▍ | 24928/100000 [5:02:49<15:00:49, 1.39step/s] Training: 25%|██▍ | 24929/100000 [5:02:50<15:05:29, 1.38step/s] Training: 25%|██▍ | 24930/100000 [5:02:51<15:30:32, 1.34step/s] Training: 25%|██▍ | 24931/100000 [5:02:51<15:42:47, 1.33step/s] Training: 25%|██▍ | 24932/100000 [5:02:52<14:53:17, 1.40step/s] Training: 25%|██▍ | 24933/100000 [5:02:53<15:13:50, 1.37step/s] Training: 25%|██▍ | 24934/100000 [5:02:53<15:13:00, 1.37step/s] Training: 25%|██▍ | 24935/100000 [5:02:54<14:41:50, 1.42step/s] Training: 25%|██▍ | 24936/100000 [5:02:55<15:07:58, 1.38step/s] Training: 25%|██▍ | 24937/100000 [5:02:56<15:19:42, 1.36step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=14309 Training: 25%|██▍ | 24938/100000 [5:02:56<15:21:22, 1.36step/s] Training: 25%|██▍ | 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25%|██▍ | 24952/100000 [5:03:06<15:01:14, 1.39step/s] Training: 25%|██▍ | 24953/100000 [5:03:07<15:19:48, 1.36step/s] Training: 25%|██▍ | 24954/100000 [5:03:08<15:12:43, 1.37step/s] Training: 25%|██▍ | 24955/100000 [5:03:09<15:32:41, 1.34step/s] Training: 25%|██▍ | 24956/100000 [5:03:09<14:39:07, 1.42step/s] Training: 25%|██▍ | 24957/100000 [5:03:10<14:46:07, 1.41step/s] Training: 25%|██▍ | 24958/100000 [5:03:11<15:05:35, 1.38step/s] Training: 25%|██▍ | 24959/100000 [5:03:11<14:28:06, 1.44step/s] Training: 25%|██▍ | 24960/100000 [5:03:12<14:33:12, 1.43step/s] Training: 25%|██▍ | 24961/100000 [5:03:13<14:45:14, 1.41step/s] Training: 25%|██▍ | 24962/100000 [5:03:14<15:12:14, 1.37step/s] Training: 25%|██▍ | 24963/100000 [5:03:14<15:14:38, 1.37step/s] Training: 25%|██▍ | 24964/100000 [5:03:15<15:34:53, 1.34step/s] Training: 25%|██▍ | 24965/100000 [5:03:16<15:40:14, 1.33step/s] Training: 25%|██▍ | 24966/100000 [5:03:17<15:43:27, 1.33step/s] Training: 25%|██▍ | 24967/100000 [5:03:17<14:54:29, 1.40step/s] Training: 25%|██▍ | 24968/100000 [5:03:18<15:13:24, 1.37step/s] Training: 25%|██▍ | 24969/100000 [5:03:19<15:23:25, 1.35step/s] Training: 25%|██▍ | 24970/100000 [5:03:20<15:26:23, 1.35step/s] Training: 25%|██▍ | 24971/100000 [5:03:20<16:05:08, 1.30step/s] Training: 25%|██▍ | 24972/100000 [5:03:21<15:10:10, 1.37step/s] Training: 25%|██▍ | 24973/100000 [5:03:22<15:29:10, 1.35step/s] Training: 25%|██▍ | 24974/100000 [5:03:23<15:33:01, 1.34step/s] Training: 25%|██▍ | 24975/100000 [5:03:23<14:53:45, 1.40step/s] Training: 25%|██▍ | 24976/100000 [5:03:24<15:14:48, 1.37step/s] Training: 25%|██▍ | 24977/100000 [5:03:25<15:35:17, 1.34step/s] Training: 25%|██▍ | 24978/100000 [5:03:26<15:37:59, 1.33step/s] Training: 25%|██▍ | 24979/100000 [5:03:26<15:42:10, 1.33step/s] Training: 25%|██▍ | 24980/100000 [5:03:27<16:16:28, 1.28step/s] Training: 25%|██▍ | 24981/100000 [5:03:28<16:15:54, 1.28step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=59011 Training: 25%|██▍ | 24982/100000 [5:03:29<15:24:35, 1.35step/s] Training: 25%|██▍ | 24983/100000 [5:03:29<15:38:18, 1.33step/s] Training: 25%|██▍ | 24984/100000 [5:03:30<15:33:20, 1.34step/s] Training: 25%|██▍ | 24985/100000 [5:03:31<15:42:23, 1.33step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=66442 Training: 25%|██▍ | 24986/100000 [5:03:32<15:28:52, 1.35step/s] Training: 25%|██▍ | 24987/100000 [5:03:32<15:15:02, 1.37step/s] Training: 25%|██▍ | 24988/100000 [5:03:33<15:31:12, 1.34step/s] Training: 25%|██▍ | 24989/100000 [5:03:34<15:30:08, 1.34step/s] Training: 25%|██▍ | 24990/100000 [5:03:34<14:38:26, 1.42step/s] Training: 25%|██▍ | 24991/100000 [5:03:35<14:40:28, 1.42step/s] Training: 25%|██▍ | 24992/100000 [5:03:36<14:38:10, 1.42step/s] Training: 25%|██▍ | 24993/100000 [5:03:37<14:52:51, 1.40step/s] Training: 25%|██▍ | 24994/100000 [5:03:37<15:07:04, 1.38step/s] Training: 25%|██▍ | 24995/100000 [5:03:38<15:11:42, 1.37step/s] Training: 25%|██▍ | 24996/100000 [5:03:39<15:06:36, 1.38step/s] Training: 25%|██▍ | 24997/100000 [5:03:40<15:23:47, 1.35step/s] Training: 25%|██▍ | 24998/100000 [5:03:40<14:45:23, 1.41step/s] Training: 25%|██▍ | 24999/100000 [5:03:41<14:43:41, 1.41step/s] Training: 25%|██▌ | 25000/100000 [5:03:42<15:06:26, 1.38step/s]INFO 2026-03-12 08:25:58 ot_train.py:435 step:25K smpl:2M ep:5K epch:21.19 loss:0.183 grdn:10.113 lr:1.7e-05 updt_s:0.717 data_s:0.013 INFO 2026-03-12 08:25:58 ot_train.py:455 Checkpoint policy after step 25000 [Avatar] Pushing checkpoint (step 25000) to avatarrobotics/pi0fast-orange-hook-right-b64-20260312-0320... 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[Avatar] Pushed checkpoint (step 25000) OK [Avatar] Tagged as 'step-25000' Training: 25%|██▌ | 25001/100000 [5:04:57<482:58:27, 23.18s/step] Training: 25%|██▌ | 25002/100000 [5:04:58<343:02:37, 16.47s/step] Training: 25%|██▌ | 25003/100000 [5:04:59<244:59:34, 11.76s/step] Training: 25%|██▌ | 25004/100000 [5:05:00<176:31:15, 8.47s/step] Training: 25%|██▌ | 25005/100000 [5:05:00<128:15:02, 6.16s/step] Training: 25%|██▌ | 25006/100000 [5:05:01<93:33:05, 4.49s/step] Training: 25%|██▌ | 25007/100000 [5:05:02<70:10:54, 3.37s/step] Training: 25%|██▌ | 25008/100000 [5:05:02<53:47:43, 2.58s/step] Training: 25%|██▌ | 25009/100000 [5:05:03<42:23:28, 2.04s/step] Training: 25%|██▌ | 25010/100000 [5:05:04<34:37:34, 1.66s/step] Training: 25%|██▌ | 25011/100000 [5:05:05<29:01:11, 1.39s/step] Training: 25%|██▌ | 25012/100000 [5:05:06<25:17:44, 1.21s/step] Training: 25%|██▌ | 25013/100000 [5:05:06<22:17:11, 1.07s/step] Training: 25%|██▌ | 25014/100000 [5:05:07<19:31:49, 1.07step/s] Training: 25%|██▌ | 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Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) [Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=54710 Training: 26%|██▌ | 25961/100000 [5:16:31<39:56:00, 1.94s/step] Training: 26%|██▌ | 25962/100000 [5:16:31<33:27:12, 1.63s/step] Training: 26%|██▌ | 25963/100000 [5:16:32<28:27:06, 1.38s/step] Training: 26%|██▌ | 25964/100000 [5:16:33<24:40:56, 1.20s/step] Training: 26%|██▌ | 25965/100000 [5:16:34<22:13:39, 1.08s/step] Training: 26%|██▌ | 25966/100000 [5:16:34<19:25:12, 1.06step/s] Training: 26%|██▌ | 25967/100000 [5:16:35<18:39:17, 1.10step/s] Training: 26%|██▌ | 25968/100000 [5:16:36<16:52:25, 1.22step/s] Training: 26%|██▌ | 25969/100000 [5:16:36<15:32:02, 1.32step/s] Training: 26%|██▌ | 25970/100000 [5:16:37<15:24:49, 1.33step/s] Training: 26%|██▌ | 25971/100000 [5:16:38<15:26:57, 1.33step/s] Training: 26%|██▌ | 25972/100000 [5:16:39<14:43:34, 1.40step/s] Training: 26%|██▌ | 25973/100000 [5:16:40<16:01:36, 1.28step/s] Training: 26%|██▌ | 25974/100000 [5:16:40<16:02:39, 1.28step/s] Training: 26%|██▌ | 25975/100000 [5:16:41<15:54:50, 1.29step/s] Training: 26%|██▌ | 25976/100000 [5:16:42<15:01:49, 1.37step/s] Training: 26%|██▌ | 25977/100000 [5:16:42<14:24:06, 1.43step/s] Training: 26%|██▌ | 25978/100000 [5:16:43<14:56:52, 1.38step/s] Training: 26%|██▌ | 25979/100000 [5:16:44<14:51:42, 1.38step/s] Training: 26%|██▌ | 25980/100000 [5:16:45<15:02:39, 1.37step/s] Training: 26%|██▌ | 25981/100000 [5:16:45<15:11:13, 1.35step/s] Training: 26%|██▌ | 25982/100000 [5:16:46<15:33:53, 1.32step/s] Training: 26%|██▌ | 25983/100000 [5:16:47<15:31:53, 1.32step/s] Training: 26%|██▌ | 25984/100000 [5:16:48<14:45:27, 1.39step/s] Training: 26%|██▌ | 25985/100000 [5:16:48<14:14:36, 1.44step/s] Training: 26%|██▌ | 25986/100000 [5:16:49<15:03:07, 1.37step/s] Training: 26%|██▌ | 25987/100000 [5:16:50<14:52:49, 1.38step/s] Training: 26%|██▌ | 25988/100000 [5:16:50<14:47:06, 1.39step/s] Training: 26%|██▌ | 25989/100000 [5:16:51<15:13:56, 1.35step/s] Training: 26%|██▌ | 25990/100000 [5:16:52<14:32:18, 1.41step/s] Training: 26%|██▌ | 25991/100000 [5:16:53<15:00:28, 1.37step/s] Training: 26%|██▌ | 25992/100000 [5:16:53<14:15:54, 1.44step/s] Training: 26%|██▌ | 25993/100000 [5:16:54<13:49:05, 1.49step/s] Training: 26%|██▌ | 25994/100000 [5:16:55<14:42:17, 1.40step/s] Training: 26%|██▌ | 25995/100000 [5:16:55<14:40:10, 1.40step/s] Training: 26%|██▌ | 25996/100000 [5:16:56<14:43:20, 1.40step/s] Training: 26%|██▌ | 25997/100000 [5:16:57<15:02:04, 1.37step/s] Training: 26%|██▌ | 25998/100000 [5:16:57<14:15:53, 1.44step/s] Training: 26%|██▌ | 25999/100000 [5:16:58<14:52:24, 1.38step/s] Training: 26%|██▌ | 26000/100000 [5:16:59<14:18:44, 1.44step/s]INFO 2026-03-12 08:39:15 ot_train.py:435 step:26K smpl:2M ep:6K epch:22.04 loss:0.185 grdn:10.789 lr:1.7e-05 updt_s:0.695 data_s:0.056 [Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=73436 Training: 26%|██▌ | 26001/100000 [5:17:00<13:51:53, 1.48step/s] Training: 26%|██▌ | 26002/100000 [5:17:00<14:17:23, 1.44step/s] Training: 26%|██▌ | 26003/100000 [5:17:01<14:33:37, 1.41step/s] Training: 26%|██▌ | 26004/100000 [5:17:02<13:56:46, 1.47step/s] Training: 26%|██▌ | 26005/100000 [5:17:03<15:20:57, 1.34step/s] Training: 26%|██▌ | 26006/100000 [5:17:03<14:36:35, 1.41step/s] Training: 26%|██▌ | 26007/100000 [5:17:04<15:07:24, 1.36step/s] Training: 26%|██▌ | 26008/100000 [5:17:05<14:28:08, 1.42step/s] Training: 26%|██▌ | 26009/100000 [5:17:05<14:07:29, 1.46step/s] Training: 26%|██▌ | 26010/100000 [5:17:06<14:42:53, 1.40step/s] Training: 26%|██▌ | 26011/100000 [5:17:07<15:04:46, 1.36step/s] Training: 26%|██▌ | 26012/100000 [5:17:07<14:55:45, 1.38step/s] Training: 26%|██▌ | 26013/100000 [5:17:08<15:28:13, 1.33step/s] Training: 26%|██▌ | 26014/100000 [5:17:09<14:48:01, 1.39step/s] Training: 26%|██▌ | 26015/100000 [5:17:10<15:32:44, 1.32step/s] Training: 26%|██▌ | 26016/100000 [5:17:10<14:43:27, 1.40step/s] Training: 26%|██▌ | 26017/100000 [5:17:11<14:08:57, 1.45step/s] Training: 26%|██▌ | 26018/100000 [5:17:12<14:53:38, 1.38step/s] Training: 26%|██▌ | 26019/100000 [5:17:13<15:06:43, 1.36step/s] Training: 26%|██▌ | 26020/100000 [5:17:13<15:01:33, 1.37step/s] Training: 26%|██▌ | 26021/100000 [5:17:14<15:18:17, 1.34step/s] Training: 26%|██▌ | 26022/100000 [5:17:15<14:34:49, 1.41step/s] Training: 26%|██▌ | 26023/100000 [5:17:15<14:56:05, 1.38step/s] Training: 26%|██▌ | 26024/100000 [5:17:16<14:12:41, 1.45step/s] Training: 26%|██▌ | 26025/100000 [5:17:17<13:48:30, 1.49step/s] Training: 26%|██▌ | 26026/100000 [5:17:18<14:34:11, 1.41step/s] Training: 26%|██▌ | 26027/100000 [5:17:18<14:36:55, 1.41step/s] Training: 26%|██▌ | 26028/100000 [5:17:19<14:51:57, 1.38step/s] Training: 26%|██▌ | 26029/100000 [5:17:20<15:11:16, 1.35step/s] Training: 26%|██▌ | 26030/100000 [5:17:20<14:22:38, 1.43step/s] Training: 26%|██▌ | 26031/100000 [5:17:21<14:47:55, 1.39step/s] Training: 26%|██▌ | 26032/100000 [5:17:22<15:14:56, 1.35step/s] Training: 26%|██▌ | 26033/100000 [5:17:23<14:21:52, 1.43step/s] Training: 26%|██▌ | 26034/100000 [5:17:23<14:35:29, 1.41step/s] Training: 26%|██▌ | 26035/100000 [5:17:24<14:30:09, 1.42step/s] Training: 26%|██▌ | 26036/100000 [5:17:25<14:58:21, 1.37step/s] Training: 26%|██▌ | 26037/100000 [5:17:26<15:14:12, 1.35step/s] Training: 26%|██▌ | 26038/100000 [5:17:26<14:38:25, 1.40step/s] Training: 26%|██▌ | 26039/100000 [5:17:27<14:49:28, 1.39step/s] Training: 26%|██▌ | 26040/100000 [5:17:28<15:02:03, 1.37step/s] Training: 26%|██▌ | 26041/100000 [5:17:28<14:21:49, 1.43step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=73436 Training: 26%|██▌ | 26042/100000 [5:17:29<14:57:06, 1.37step/s] Training: 26%|██▌ | 26043/100000 [5:17:30<15:09:40, 1.36step/s] Training: 26%|██▌ | 26044/100000 [5:17:31<15:22:06, 1.34step/s] Training: 26%|██▌ | 26045/100000 [5:17:31<15:24:04, 1.33step/s] Training: 26%|██▌ | 26046/100000 [5:17:32<14:39:11, 1.40step/s] Training: 26%|██▌ | 26047/100000 [5:17:33<15:03:17, 1.36step/s] Training: 26%|██▌ | 26048/100000 [5:17:34<15:20:26, 1.34step/s] Training: 26%|██▌ | 26049/100000 [5:17:34<14:26:33, 1.42step/s] Training: 26%|██▌ | 26050/100000 [5:17:35<15:10:40, 1.35step/s] Training: 26%|██▌ | 26051/100000 [5:17:36<15:17:40, 1.34step/s] Training: 26%|██▌ | 26052/100000 [5:17:36<15:27:02, 1.33step/s] Training: 26%|██▌ | 26053/100000 [5:17:37<15:32:24, 1.32step/s] Training: 26%|██▌ | 26054/100000 [5:17:38<14:50:00, 1.38step/s] Training: 26%|██▌ | 26055/100000 [5:17:39<14:36:22, 1.41step/s] Training: 26%|██▌ | 26056/100000 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[5:18:02<14:59:01, 1.37step/s] Training: 26%|██▌ | 26088/100000 [5:18:03<14:15:58, 1.44step/s] Training: 26%|██▌ | 26089/100000 [5:18:03<14:52:36, 1.38step/s] Training: 26%|██▌ | 26090/100000 [5:18:04<15:21:27, 1.34step/s] Training: 26%|██▌ | 26091/100000 [5:18:05<15:09:16, 1.35step/s] Training: 26%|██▌ | 26092/100000 [5:18:06<15:01:42, 1.37step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=49675 Training: 26%|██▌ | 26093/100000 [5:18:06<15:18:51, 1.34step/s] Training: 26%|██▌ | 26094/100000 [5:18:07<14:33:15, 1.41step/s] Training: 26%|██▌ | 26095/100000 [5:18:08<14:56:41, 1.37step/s] Training: 26%|██▌ | 26096/100000 [5:18:08<14:19:05, 1.43step/s] Training: 26%|██▌ | 26097/100000 [5:18:09<13:53:24, 1.48step/s] Training: 26%|██▌ | 26098/100000 [5:18:10<14:30:10, 1.42step/s] Training: 26%|██▌ | 26099/100000 [5:18:10<14:24:11, 1.43step/s] Training: 26%|██▌ | 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(tensor([2.]) > tolerance_s=2.0)., retrying with idx=61353 Training: 26%|██▌ | 26203/100000 [5:19:25<14:48:52, 1.38step/s] Training: 26%|██▌ | 26204/100000 [5:19:26<15:17:47, 1.34step/s] Training: 26%|██▌ | 26205/100000 [5:19:27<15:34:31, 1.32step/s] Training: 26%|██▌ | 26206/100000 [5:19:27<14:48:51, 1.38step/s] Training: 26%|██▌ | 26207/100000 [5:19:28<15:18:46, 1.34step/s] Training: 26%|██▌ | 26208/100000 [5:19:29<14:30:52, 1.41step/s] Training: 26%|██▌ | 26209/100000 [5:19:29<14:02:52, 1.46step/s] Training: 26%|██▌ | 26210/100000 [5:19:30<14:45:06, 1.39step/s] Training: 26%|██▌ | 26211/100000 [5:19:31<15:03:58, 1.36step/s] Training: 26%|██▌ | 26212/100000 [5:19:32<15:34:03, 1.32step/s] Training: 26%|██▌ | 26213/100000 [5:19:32<15:57:14, 1.28step/s] Training: 26%|██▌ | 26214/100000 [5:19:33<15:01:37, 1.36step/s] Training: 26%|██▌ | 26215/100000 [5:19:34<15:03:55, 1.36step/s] Training: 26%|██▌ | 26216/100000 [5:19:34<14:25:11, 1.42step/s] Training: 26%|██▌ | 26217/100000 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FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=73436 Training: 27%|██▋ | 26537/100000 [5:23:24<13:36:23, 1.50step/s] Training: 27%|██▋ | 26538/100000 [5:23:25<14:09:13, 1.44step/s] Training: 27%|██▋ | 26539/100000 [5:23:26<13:44:11, 1.49step/s] Training: 27%|██▋ | 26540/100000 [5:23:27<13:59:50, 1.46step/s] Training: 27%|██▋ | 26541/100000 [5:23:27<14:22:59, 1.42step/s] Training: 27%|██▋ | 26542/100000 [5:23:28<14:37:02, 1.40step/s] Training: 27%|██▋ | 26543/100000 [5:23:29<14:45:59, 1.38step/s] Training: 27%|██▋ | 26544/100000 [5:23:29<14:11:48, 1.44step/s] Training: 27%|██▋ | 26545/100000 [5:23:30<13:47:28, 1.48step/s] Training: 27%|██▋ | 26546/100000 [5:23:31<14:11:46, 1.44step/s] Training: 27%|██▋ | 26547/100000 [5:23:31<13:42:01, 1.49step/s] Training: 27%|██▋ | 26548/100000 [5:23:32<14:25:54, 1.41step/s] Training: 27%|██▋ | 26549/100000 [5:23:33<14:25:35, 1.41step/s] Training: 27%|██▋ | 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[5:30:30<13:38:44, 1.48step/s] Training: 27%|██▋ | 27138/100000 [5:30:31<14:01:46, 1.44step/s] Training: 27%|██▋ | 27139/100000 [5:30:32<14:18:07, 1.42step/s] Training: 27%|██▋ | 27140/100000 [5:30:34<22:11:50, 1.10s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISMTOKENIZERS_PARALLELISM=(true | false) =(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 27%|██▋ | 27141/100000 [5:30:38<40:21:44, 1.99s/step] Training: 27%|██▋ | 27142/100000 [5:30:39<33:47:25, 1.67s/step] Training: 27%|██▋ | 27143/100000 [5:30:40<28:18:46, 1.40s/step] Training: 27%|██▋ | 27144/100000 [5:30:41<24:37:57, 1.22s/step] Training: 27%|██▋ | 27145/100000 [5:30:41<21:03:40, 1.04s/step] Training: 27%|██▋ | 27146/100000 [5:30:42<19:21:33, 1.05step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=49509 Training: 27%|██▋ | 27147/100000 [5:30:43<17:59:26, 1.12step/s] Training: 27%|██▋ | 27148/100000 [5:30:43<17:08:45, 1.18step/s] Training: 27%|██▋ | 27149/100000 [5:30:44<16:53:58, 1.20step/s] Training: 27%|██▋ | 27150/100000 [5:30:45<16:51:43, 1.20step/s] Training: 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[5:36:02<14:20:30, 1.40step/s] Training: 28%|██▊ | 27588/100000 [5:36:02<14:19:20, 1.40step/s] Training: 28%|██▊ | 27589/100000 [5:36:03<14:35:28, 1.38step/s] Training: 28%|██▊ | 27590/100000 [5:36:04<13:51:43, 1.45step/s] Training: 28%|██▊ | 27591/100000 [5:36:04<14:06:20, 1.43step/s] Training: 28%|██▊ | 27592/100000 [5:36:05<13:42:43, 1.47step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=16198 Training: 28%|██▊ | 27593/100000 [5:36:06<14:13:31, 1.41step/s] Training: 28%|██▊ | 27594/100000 [5:36:07<14:33:51, 1.38step/s] Training: 28%|██▊ | 27595/100000 [5:36:07<14:22:23, 1.40step/s] Training: 28%|██▊ | 27596/100000 [5:36:08<13:43:52, 1.46step/s] Training: 28%|██▊ | 27597/100000 [5:36:09<15:08:31, 1.33step/s] Training: 28%|██▊ | 27598/100000 [5:36:09<14:16:03, 1.41step/s] Training: 28%|██▊ | 27599/100000 [5:36:10<14:27:07, 1.39step/s] Training: 28%|██▊ | 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1.42step/s] Training: 28%|██▊ | 27705/100000 [5:37:27<14:29:27, 1.39step/s] Training: 28%|██▊ | 27706/100000 [5:37:27<15:01:42, 1.34step/s] Training: 28%|██▊ | 27707/100000 [5:37:28<15:04:40, 1.33step/s] Training: 28%|██▊ | 27708/100000 [5:37:29<15:08:26, 1.33step/s] Training: 28%|██▊ | 27709/100000 [5:37:30<15:17:20, 1.31step/s] Training: 28%|██▊ | 27710/100000 [5:37:30<15:19:48, 1.31step/s] Training: 28%|██▊ | 27711/100000 [5:37:31<15:01:34, 1.34step/s] Training: 28%|██▊ | 27712/100000 [5:37:32<14:10:27, 1.42step/s] Training: 28%|██▊ | 27713/100000 [5:37:33<14:24:21, 1.39step/s] Training: 28%|██▊ | 27714/100000 [5:37:33<14:54:06, 1.35step/s] Training: 28%|██▊ | 27715/100000 [5:37:34<14:37:19, 1.37step/s] Training: 28%|██▊ | 27716/100000 [5:37:35<14:43:57, 1.36step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=29888 Training: 28%|██▊ | 27717/100000 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28%|██▊ | 27959/100000 [5:40:32<13:59:46, 1.43step/s] Training: 28%|██▊ | 27960/100000 [5:40:32<14:02:52, 1.42step/s] Training: 28%|██▊ | 27961/100000 [5:40:33<14:28:02, 1.38step/s] Training: 28%|██▊ | 27962/100000 [5:40:34<14:42:00, 1.36step/s] Training: 28%|██▊ | 27963/100000 [5:40:35<14:04:29, 1.42step/s] Training: 28%|██▊ | 27964/100000 [5:40:35<14:19:30, 1.40step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=18854 Training: 28%|██▊ | 27965/100000 [5:40:36<14:42:47, 1.36step/s] Training: 28%|██▊ | 27966/100000 [5:40:37<14:51:10, 1.35step/s] Training: 28%|██▊ | 27967/100000 [5:40:38<14:11:27, 1.41step/s] Training: 28%|██▊ | 27968/100000 [5:40:38<14:21:23, 1.39step/s] Training: 28%|██▊ | 27969/100000 [5:40:39<14:34:07, 1.37step/s] Training: 28%|██▊ | 27970/100000 [5:40:40<14:42:29, 1.36step/s] Training: 28%|██▊ | 27971/100000 [5:40:40<13:55:42, 1.44step/s] 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Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 28%|██▊ | 28321/100000 [5:44:55<39:56:54, 2.01s/step] Training: 28%|██▊ | 28322/100000 [5:44:56<31:44:04, 1.59s/step] Training: 28%|██▊ | 28323/100000 [5:44:57<25:59:20, 1.31s/step] Training: 28%|██▊ | 28324/100000 [5:44:57<23:08:58, 1.16s/step] Training: 28%|██▊ | 28325/100000 [5:44:58<20:51:08, 1.05s/step] Training: 28%|██▊ | 28326/100000 [5:44:59<19:18:54, 1.03step/s] Training: 28%|██▊ | 28327/100000 [5:45:00<17:15:06, 1.15step/s] Training: 28%|██▊ | 28328/100000 [5:45:00<15:49:32, 1.26step/s] Training: 28%|██▊ | 28329/100000 [5:45:01<15:25:44, 1.29step/s] Training: 28%|██▊ | 28330/100000 [5:45:02<14:36:04, 1.36step/s] Training: 28%|██▊ | 28331/100000 [5:45:02<13:57:10, 1.43step/s] Training: 28%|██▊ | 28332/100000 [5:45:03<14:44:37, 1.35step/s] Training: 28%|██▊ | 28333/100000 [5:45:04<14:53:53, 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[5:45:57<14:59:11, 1.33step/s] Training: 28%|██▊ | 28407/100000 [5:45:58<14:07:34, 1.41step/s] Training: 28%|██▊ | 28408/100000 [5:45:58<13:38:02, 1.46step/s] Training: 28%|██▊ | 28409/100000 [5:45:59<14:14:39, 1.40step/s] Training: 28%|██▊ | 28410/100000 [5:46:00<14:35:48, 1.36step/s] Training: 28%|██▊ | 28411/100000 [5:46:00<14:01:09, 1.42step/s] Training: 28%|██▊ | 28412/100000 [5:46:01<14:20:38, 1.39step/s] Training: 28%|██▊ | 28413/100000 [5:46:02<14:40:17, 1.36step/s] Training: 28%|██▊ | 28414/100000 [5:46:03<14:51:09, 1.34step/s] Training: 28%|██▊ | 28415/100000 [5:46:03<14:12:01, 1.40step/s] Training: 28%|██▊ | 28416/100000 [5:46:04<13:34:52, 1.46step/s] Training: 28%|██▊ | 28417/100000 [5:46:05<14:00:40, 1.42step/s] Training: 28%|██▊ | 28418/100000 [5:46:06<14:15:22, 1.39step/s] Training: 28%|██▊ | 28419/100000 [5:46:06<13:50:29, 1.44step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > 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[5:46:28<14:15:51, 1.39step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=54698 Training: 28%|██▊ | 28451/100000 [5:46:29<13:43:13, 1.45step/s] Training: 28%|██▊ | 28452/100000 [5:46:30<14:12:07, 1.40step/s] Training: 28%|██▊ | 28453/100000 [5:46:30<14:25:24, 1.38step/s] Training: 28%|██▊ | 28454/100000 [5:46:31<14:33:35, 1.36step/s] Training: 28%|██▊ | 28455/100000 [5:46:32<13:48:11, 1.44step/s] Training: 28%|██▊ | 28456/100000 [5:46:32<13:25:00, 1.48step/s] Training: 28%|██▊ | 28457/100000 [5:46:33<13:46:51, 1.44step/s] Training: 28%|██▊ | 28458/100000 [5:46:34<14:15:23, 1.39step/s] Training: 28%|██▊ | 28459/100000 [5:46:35<13:43:38, 1.45step/s] Training: 28%|██▊ | 28460/100000 [5:46:35<14:05:12, 1.41step/s] Training: 28%|██▊ | 28461/100000 [5:46:36<14:44:00, 1.35step/s] Training: 28%|██▊ | 28462/100000 [5:46:37<14:39:44, 1.36step/s] Training: 28%|██▊ | 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[5:55:22<14:22:01, 1.37step/s]INFO 2026-03-12 09:17:38 ot_train.py:435 step:29K smpl:2M ep:6K epch:24.75 loss:0.167 grdn:9.934 lr:1.6e-05 updt_s:0.698 data_s:0.012 Training: 29%|██▉ | 29201/100000 [5:55:22<13:46:50, 1.43step/s] Training: 29%|██▉ | 29202/100000 [5:55:23<13:59:48, 1.41step/s] Training: 29%|██▉ | 29203/100000 [5:55:24<14:17:53, 1.38step/s] Training: 29%|██▉ | 29204/100000 [5:55:25<13:34:54, 1.45step/s] Training: 29%|██▉ | 29205/100000 [5:55:25<14:11:10, 1.39step/s] Training: 29%|██▉ | 29206/100000 [5:55:26<14:36:09, 1.35step/s] Training: 29%|██▉ | 29207/100000 [5:55:27<14:50:44, 1.32step/s] Training: 29%|██▉ | 29208/100000 [5:55:28<14:58:34, 1.31step/s] Training: 29%|██▉ | 29209/100000 [5:55:28<14:12:31, 1.38step/s] Training: 29%|██▉ | 29210/100000 [5:55:29<14:34:43, 1.35step/s] Training: 29%|██▉ | 29211/100000 [5:55:30<15:02:49, 1.31step/s] Training: 29%|██▉ | 29212/100000 [5:55:31<14:17:40, 1.38step/s] Training: 29%|██▉ | 29213/100000 [5:55:31<14:20:05, 1.37step/s] 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29%|██▉ | 29499/100000 [5:58:55<12:50:38, 1.52step/s] Training: 30%|██▉ | 29500/100000 [5:58:57<21:10:59, 1.08s/step]INFO 2026-03-12 09:21:13 ot_train.py:435 step:30K smpl:2M ep:6K epch:25.00 loss:0.168 grdn:9.965 lr:1.6e-05 updt_s:0.695 data_s:0.026 huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISMTOKENIZERS_PARALLELISM=(true | false) =(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 30%|██▉ | 29501/100000 [5:59:01<40:01:43, 2.04s/step] Training: 30%|██▉ | 29502/100000 [5:59:02<33:05:43, 1.69s/step] Training: 30%|██▉ | 29503/100000 [5:59:03<27:42:01, 1.41s/step] Training: 30%|██▉ | 29504/100000 [5:59:04<24:10:56, 1.23s/step] Training: 30%|██▉ | 29505/100000 [5:59:05<20:57:02, 1.07s/step] Training: 30%|██▉ | 29506/100000 [5:59:05<19:22:59, 1.01step/s] Training: 30%|██▉ | 29507/100000 [5:59:06<17:19:34, 1.13step/s] Training: 30%|██▉ | 29508/100000 [5:59:07<17:23:13, 1.13step/s] Training: 30%|██▉ | 29509/100000 [5:59:08<16:39:36, 1.18step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=39921 Training: 30%|██▉ | 29510/100000 [5:59:08<16:17:09, 1.20step/s] Training: 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[5:59:20<14:21:49, 1.36step/s] Training: 30%|██▉ | 29527/100000 [5:59:21<14:35:54, 1.34step/s] Training: 30%|██▉ | 29528/100000 [5:59:22<14:38:51, 1.34step/s] Training: 30%|██▉ | 29529/100000 [5:59:22<13:56:57, 1.40step/s] Training: 30%|██▉ | 29530/100000 [5:59:23<13:52:57, 1.41step/s] Training: 30%|██▉ | 29531/100000 [5:59:24<13:23:48, 1.46step/s] Training: 30%|██▉ | 29532/100000 [5:59:24<13:43:12, 1.43step/s] Training: 30%|██▉ | 29533/100000 [5:59:25<13:17:27, 1.47step/s] Training: 30%|██▉ | 29534/100000 [5:59:26<14:38:44, 1.34step/s] Training: 30%|██▉ | 29535/100000 [5:59:27<14:58:21, 1.31step/s] Training: 30%|██▉ | 29536/100000 [5:59:28<14:43:54, 1.33step/s] Training: 30%|██▉ | 29537/100000 [5:59:28<13:52:10, 1.41step/s] Training: 30%|██▉ | 29538/100000 [5:59:29<13:54:08, 1.41step/s] Training: 30%|██▉ | 29539/100000 [5:59:29<13:27:55, 1.45step/s] Training: 30%|██▉ | 29540/100000 [5:59:30<13:25:50, 1.46step/s] Training: 30%|██▉ | 29541/100000 [5:59:31<13:50:27, 1.41step/s] Training: 30%|██▉ | 29542/100000 [5:59:32<14:09:41, 1.38step/s] Training: 30%|██▉ | 29543/100000 [5:59:32<14:06:01, 1.39step/s] Training: 30%|██▉ | 29544/100000 [5:59:33<14:34:22, 1.34step/s] Training: 30%|██▉ | 29545/100000 [5:59:34<14:00:32, 1.40step/s] Training: 30%|██▉ | 29546/100000 [5:59:35<14:14:18, 1.37step/s] Training: 30%|██▉ | 29547/100000 [5:59:35<13:45:01, 1.42step/s] Training: 30%|██▉ | 29548/100000 [5:59:36<13:44:02, 1.42step/s] Training: 30%|██▉ | 29549/100000 [5:59:37<14:05:09, 1.39step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=58032 Training: 30%|██▉ | 29550/100000 [5:59:37<14:22:27, 1.36step/s] Training: 30%|██▉ | 29551/100000 [5:59:38<14:16:49, 1.37step/s] Training: 30%|██▉ | 29552/100000 [5:59:39<14:33:45, 1.34step/s] Training: 30%|██▉ | 29553/100000 [5:59:40<13:51:38, 1.41step/s] Training: 30%|██▉ | 29554/100000 [5:59:40<14:11:23, 1.38step/s] 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1.39step/s] Training: 30%|██▉ | 29693/100000 [6:01:22<14:35:34, 1.34step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=58032 Training: 30%|██▉ | 29694/100000 [6:01:23<15:08:18, 1.29step/s] Training: 30%|██▉ | 29695/100000 [6:01:23<15:07:24, 1.29step/s] Training: 30%|██▉ | 29696/100000 [6:01:24<14:18:40, 1.36step/s] Training: 30%|██▉ | 29697/100000 [6:01:25<14:30:25, 1.35step/s] Training: 30%|██▉ | 29698/100000 [6:01:26<14:53:51, 1.31step/s] Training: 30%|██▉ | 29699/100000 [6:01:26<14:08:21, 1.38step/s] Training: 30%|██▉ | 29700/100000 [6:01:27<14:36:16, 1.34step/s]INFO 2026-03-12 09:23:43 ot_train.py:435 step:30K smpl:2M ep:6K epch:25.17 loss:0.149 grdn:9.428 lr:1.6e-05 updt_s:0.715 data_s:0.013 Training: 30%|██▉ | 29701/100000 [6:01:28<14:43:45, 1.33step/s] Training: 30%|██▉ | 29702/100000 [6:01:28<14:35:04, 1.34step/s] Training: 30%|██▉ | 29703/100000 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[6:04:49<14:20:40, 1.36step/s] Training: 30%|██▉ | 29979/100000 [6:04:50<13:40:21, 1.42step/s] Training: 30%|██▉ | 29980/100000 [6:04:51<14:03:54, 1.38step/s] Training: 30%|██▉ | 29981/100000 [6:04:51<14:14:11, 1.37step/s] Training: 30%|██▉ | 29982/100000 [6:04:52<14:10:22, 1.37step/s] Training: 30%|██▉ | 29983/100000 [6:04:53<14:17:40, 1.36step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=47329 Training: 30%|██▉ | 29984/100000 [6:04:54<13:38:46, 1.43step/s] Training: 30%|██▉ | 29985/100000 [6:04:54<13:40:01, 1.42step/s] Training: 30%|██▉ | 29986/100000 [6:04:55<14:00:55, 1.39step/s] Training: 30%|██▉ | 29987/100000 [6:04:56<13:29:03, 1.44step/s] Training: 30%|██▉ | 29988/100000 [6:04:56<13:58:10, 1.39step/s] Training: 30%|██▉ | 29989/100000 [6:04:57<14:06:48, 1.38step/s] Training: 30%|██▉ | 29990/100000 [6:04:58<14:14:18, 1.37step/s] Training: 30%|██▉ | 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[Avatar] Pushed checkpoint (step 30000) OK [Avatar] Tagged as 'step-30000' Training: 30%|███ | 30001/100000 [6:06:22<458:42:20, 23.59s/step] Training: 30%|███ | 30002/100000 [6:06:23<325:25:49, 16.74s/step] Training: 30%|███ | 30003/100000 [6:06:23<231:25:54, 11.90s/step] Training: 30%|███ | 30004/100000 [6:06:24<166:49:48, 8.58s/step] Training: 30%|███ | 30005/100000 [6:06:25<120:58:07, 6.22s/step] Training: 30%|███ | 30006/100000 [6:06:26<89:12:35, 4.59s/step] Training: 30%|███ | 30007/100000 [6:06:26<66:50:43, 3.44s/step] Training: 30%|███ | 30008/100000 [6:06:27<50:30:02, 2.60s/step] Training: 30%|███ | 30009/100000 [6:06:28<39:41:46, 2.04s/step] Training: 30%|███ | 30010/100000 [6:06:29<32:12:37, 1.66s/step] Training: 30%|███ | 30011/100000 [6:06:29<26:14:58, 1.35s/step] Training: 30%|███ | 30012/100000 [6:06:30<23:10:52, 1.19s/step] Training: 30%|███ | 30013/100000 [6:06:31<20:35:29, 1.06s/step] Training: 30%|███ | 30014/100000 [6:06:32<18:37:18, 1.04step/s] Training: 30%|███ | 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[6:08:20<13:32:37, 1.43step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=38113 Training: 30%|███ | 30166/100000 [6:08:21<14:12:56, 1.36step/s] Training: 30%|███ | 30167/100000 [6:08:22<13:41:56, 1.42step/s] Training: 30%|███ | 30168/100000 [6:08:22<14:00:06, 1.39step/s] Training: 30%|███ | 30169/100000 [6:08:23<14:25:57, 1.34step/s] Training: 30%|███ | 30170/100000 [6:08:24<14:23:03, 1.35step/s] Training: 30%|███ | 30171/100000 [6:08:25<13:42:30, 1.41step/s] Training: 30%|███ | 30172/100000 [6:08:25<13:57:22, 1.39step/s] Training: 30%|███ | 30173/100000 [6:08:26<13:23:57, 1.45step/s] Training: 30%|███ | 30174/100000 [6:08:27<13:50:47, 1.40step/s] Training: 30%|███ | 30175/100000 [6:08:27<13:12:11, 1.47step/s] Training: 30%|███ | 30176/100000 [6:08:28<13:35:32, 1.43step/s] Training: 30%|███ | 30177/100000 [6:08:29<14:08:50, 1.37step/s] Training: 30%|███ | 30178/100000 [6:08:30<14:21:55, 1.35step/s] Training: 30%|███ | 30179/100000 [6:08:30<13:45:31, 1.41step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=70118 Training: 30%|███ | 30180/100000 [6:08:31<14:14:38, 1.36step/s] Training: 30%|███ | 30181/100000 [6:08:32<13:31:36, 1.43step/s] Training: 30%|███ | 30182/100000 [6:08:32<13:40:52, 1.42step/s] Training: 30%|███ | 30183/100000 [6:08:33<13:18:49, 1.46step/s] Training: 30%|███ | 30184/100000 [6:08:34<13:31:14, 1.43step/s] Training: 30%|███ | 30185/100000 [6:08:35<14:11:25, 1.37step/s] Training: 30%|███ | 30186/100000 [6:08:35<14:02:11, 1.38step/s] Training: 30%|███ | 30187/100000 [6:08:36<13:27:35, 1.44step/s] Training: 30%|███ | 30188/100000 [6:08:37<14:07:10, 1.37step/s] Training: 30%|███ | 30189/100000 [6:08:37<13:28:24, 1.44step/s] Training: 30%|███ | 30190/100000 [6:08:38<13:50:23, 1.40step/s] Training: 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ot_train.py:435 step:30K smpl:2M ep:7K epch:25.77 loss:0.147 grdn:9.290 lr:1.6e-05 updt_s:0.703 data_s:0.013 Training: 30%|███ | 30401/100000 [6:11:09<13:56:45, 1.39step/s] Training: 30%|███ | 30402/100000 [6:11:10<13:52:33, 1.39step/s] Training: 30%|███ | 30403/100000 [6:11:11<13:20:38, 1.45step/s] Training: 30%|███ | 30404/100000 [6:11:11<13:40:20, 1.41step/s] Training: 30%|███ | 30405/100000 [6:11:12<13:18:00, 1.45step/s] Training: 30%|███ | 30406/100000 [6:11:13<13:50:45, 1.40step/s] Training: 30%|███ | 30407/100000 [6:11:14<13:21:46, 1.45step/s] Training: 30%|███ | 30408/100000 [6:11:14<13:53:30, 1.39step/s] Training: 30%|███ | 30409/100000 [6:11:15<14:16:30, 1.35step/s] Training: 30%|███ | 30410/100000 [6:11:16<14:00:40, 1.38step/s] Training: 30%|███ | 30411/100000 [6:11:16<13:19:18, 1.45step/s] Training: 30%|███ | 30412/100000 [6:11:17<13:44:56, 1.41step/s] Training: 30%|███ | 30413/100000 [6:11:18<13:08:34, 1.47step/s] Training: 30%|███ | 30414/100000 [6:11:19<13:47:29, 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Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 31%|███ | 30681/100000 [6:14:31<39:24:23, 2.05s/step] Training: 31%|███ | 30682/100000 [6:14:32<32:31:11, 1.69s/step] Training: 31%|███ | 30683/100000 [6:14:33<26:30:47, 1.38s/step] Training: 31%|███ | 30684/100000 [6:14:34<23:14:28, 1.21s/step] Training: 31%|███ | 30685/100000 [6:14:34<20:00:47, 1.04s/step] Training: 31%|███ | 30686/100000 [6:14:35<18:33:51, 1.04step/s] Training: 31%|███ | 30687/100000 [6:14:36<17:48:22, 1.08step/s] Training: 31%|███ | 30688/100000 [6:14:37<17:11:59, 1.12step/s] Training: 31%|███ | 30689/100000 [6:14:37<16:33:43, 1.16step/s] Training: 31%|███ | 30690/100000 [6:14:38<15:59:00, 1.20step/s] Training: 31%|███ | 30691/100000 [6:14:39<14:42:02, 1.31step/s] Training: 31%|███ | 30692/100000 [6:14:40<14:44:47, 1.31step/s] Training: 31%|███ | 30693/100000 [6:14:40<13:50:11, 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[6:17:01<13:22:24, 1.44step/s] Training: 31%|███ | 30889/100000 [6:17:02<13:51:51, 1.38step/s] Training: 31%|███ | 30890/100000 [6:17:02<13:48:23, 1.39step/s] Training: 31%|███ | 30891/100000 [6:17:03<13:08:39, 1.46step/s] Training: 31%|███ | 30892/100000 [6:17:04<12:48:59, 1.50step/s] Training: 31%|███ | 30893/100000 [6:17:05<13:47:04, 1.39step/s] Training: 31%|███ | 30894/100000 [6:17:05<14:00:10, 1.37step/s] Training: 31%|███ | 30895/100000 [6:17:06<14:16:04, 1.35step/s] Training: 31%|███ | 30896/100000 [6:17:07<13:37:05, 1.41step/s] Training: 31%|███ | 30897/100000 [6:17:07<14:00:07, 1.37step/s] Training: 31%|███ | 30898/100000 [6:17:08<14:02:21, 1.37step/s] Training: 31%|███ | 30899/100000 [6:17:09<13:32:18, 1.42step/s] Training: 31%|███ | 30900/100000 [6:17:09<13:12:14, 1.45step/s]INFO 2026-03-12 09:39:25 ot_train.py:435 step:31K smpl:2M ep:7K epch:26.19 loss:0.143 grdn:8.657 lr:1.6e-05 updt_s:0.708 data_s:0.013 Training: 31%|███ | 30901/100000 [6:17:10<13:32:05, 1.42step/s] 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31%|███ | 31055/100000 [6:19:00<13:54:41, 1.38step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=68123 Training: 31%|███ | 31056/100000 [6:19:01<13:24:38, 1.43step/s] Training: 31%|███ | 31057/100000 [6:19:02<13:35:07, 1.41step/s] Training: 31%|███ | 31058/100000 [6:19:03<13:53:45, 1.38step/s] Training: 31%|███ | 31059/100000 [6:19:03<13:31:10, 1.42step/s] Training: 31%|███ | 31060/100000 [6:19:04<13:00:55, 1.47step/s] Training: 31%|███ | 31061/100000 [6:19:05<13:25:40, 1.43step/s] Training: 31%|███ | 31062/100000 [6:19:05<13:49:30, 1.39step/s] Training: 31%|███ | 31063/100000 [6:19:06<14:02:26, 1.36step/s] Training: 31%|███ | 31064/100000 [6:19:07<13:25:57, 1.43step/s] Training: 31%|███ | 31065/100000 [6:19:08<13:49:21, 1.39step/s] Training: 31%|███ | 31066/100000 [6:19:08<14:21:03, 1.33step/s] Training: 31%|███ | 31067/100000 [6:19:09<13:39:42, 1.40step/s] 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1.38step/s] Training: 32%|███▏ | 31594/100000 [6:25:26<13:43:45, 1.38step/s] Training: 32%|███▏ | 31595/100000 [6:25:27<13:10:18, 1.44step/s] Training: 32%|███▏ | 31596/100000 [6:25:27<12:47:44, 1.48step/s] Training: 32%|███▏ | 31597/100000 [6:25:28<12:30:45, 1.52step/s] Training: 32%|███▏ | 31598/100000 [6:25:29<13:13:27, 1.44step/s] Training: 32%|███▏ | 31599/100000 [6:25:29<13:36:26, 1.40step/s] Training: 32%|███▏ | 31600/100000 [6:25:30<13:09:31, 1.44step/s]INFO 2026-03-12 09:47:46 ot_train.py:435 step:32K smpl:2M ep:7K epch:26.78 loss:0.143 grdn:9.280 lr:1.6e-05 updt_s:0.683 data_s:0.013 Training: 32%|███▏ | 31601/100000 [6:25:31<13:27:09, 1.41step/s] Training: 32%|███▏ | 31602/100000 [6:25:31<13:04:59, 1.45step/s] Training: 32%|███▏ | 31603/100000 [6:25:32<13:22:46, 1.42step/s] Training: 32%|███▏ | 31604/100000 [6:25:33<12:56:19, 1.47step/s] Training: 32%|███▏ | 31605/100000 [6:25:33<12:38:06, 1.50step/s] Training: 32%|███▏ | 31606/100000 [6:25:34<13:10:56, 1.44step/s] Training: 32%|███▏ | 31607/100000 [6:25:35<13:30:07, 1.41step/s] Training: 32%|███▏ | 31608/100000 [6:25:36<13:07:10, 1.45step/s] Training: 32%|███▏ | 31609/100000 [6:25:36<13:45:01, 1.38step/s] Training: 32%|███▏ | 31610/100000 [6:25:37<14:36:32, 1.30step/s] Training: 32%|███▏ | 31611/100000 [6:25:38<13:40:00, 1.39step/s] Training: 32%|███▏ | 31612/100000 [6:25:38<13:12:32, 1.44step/s] Training: 32%|███▏ | 31613/100000 [6:25:39<12:48:20, 1.48step/s] Training: 32%|███▏ | 31614/100000 [6:25:40<13:28:31, 1.41step/s] Training: 32%|███▏ | 31615/100000 [6:25:41<13:46:42, 1.38step/s] Training: 32%|███▏ | 31616/100000 [6:25:41<13:21:38, 1.42step/s] Training: 32%|███▏ | 31617/100000 [6:25:42<13:54:50, 1.37step/s] Training: 32%|███▏ | 31618/100000 [6:25:43<14:15:16, 1.33step/s] Training: 32%|███▏ | 31619/100000 [6:25:43<13:37:02, 1.39step/s] Training: 32%|███▏ | 31620/100000 [6:25:44<13:09:27, 1.44step/s] Training: 32%|███▏ | 31621/100000 [6:25:45<12:44:24, 1.49step/s] Training: 32%|███▏ | 31622/100000 [6:25:46<13:30:10, 1.41step/s] Training: 32%|███▏ | 31623/100000 [6:25:46<13:24:28, 1.42step/s] Training: 32%|███▏ | 31624/100000 [6:25:47<13:05:43, 1.45step/s] Training: 32%|███▏ | 31625/100000 [6:25:48<13:07:33, 1.45step/s] Training: 32%|███▏ | 31626/100000 [6:25:48<13:43:19, 1.38step/s] Training: 32%|███▏ | 31627/100000 [6:25:49<13:02:45, 1.46step/s] Training: 32%|███▏ | 31628/100000 [6:25:50<12:45:01, 1.49step/s] Training: 32%|███▏ | 31629/100000 [6:25:50<12:26:28, 1.53step/s] Training: 32%|███▏ | 31630/100000 [6:25:51<12:58:23, 1.46step/s] Training: 32%|███▏ | 31631/100000 [6:25:52<13:19:11, 1.43step/s] Training: 32%|███▏ | 31632/100000 [6:25:52<12:52:47, 1.47step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=2815 Training: 32%|███▏ | 31633/100000 [6:25:53<13:08:29, 1.45step/s] Training: 32%|███▏ | 31634/100000 [6:25:54<13:41:35, 1.39step/s] Training: 32%|███▏ | 31635/100000 [6:25:55<13:55:59, 1.36step/s] Training: 32%|███▏ | 31636/100000 [6:25:55<13:18:52, 1.43step/s] Training: 32%|███▏ | 31637/100000 [6:25:56<12:51:43, 1.48step/s] Training: 32%|███▏ | 31638/100000 [6:25:57<13:27:02, 1.41step/s] Training: 32%|███▏ | 31639/100000 [6:25:57<13:46:06, 1.38step/s] Training: 32%|███▏ | 31640/100000 [6:25:58<13:11:11, 1.44step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=2815 Training: 32%|███▏ | 31641/100000 [6:25:59<13:31:48, 1.40step/s] Training: 32%|███▏ | 31642/100000 [6:26:00<13:46:36, 1.38step/s] Training: 32%|███▏ | 31643/100000 [6:26:00<14:04:19, 1.35step/s] Training: 32%|███▏ | 31644/100000 [6:26:01<13:16:48, 1.43step/s] Training: 32%|███▏ | 31645/100000 [6:26:02<12:44:07, 1.49step/s] Training: 32%|███▏ | 31646/100000 [6:26:02<13:20:59, 1.42step/s] Training: 32%|███▏ | 31647/100000 [6:26:03<13:39:25, 1.39step/s] Training: 32%|███▏ | 31648/100000 [6:26:04<13:06:56, 1.45step/s] Training: 32%|███▏ | 31649/100000 [6:26:04<13:35:49, 1.40step/s] Training: 32%|███▏ | 31650/100000 [6:26:05<13:36:08, 1.40step/s] Training: 32%|███▏ | 31651/100000 [6:26:06<14:15:42, 1.33step/s] Training: 32%|███▏ | 31652/100000 [6:26:07<13:23:39, 1.42step/s] Training: 32%|███▏ | 31653/100000 [6:26:07<12:55:00, 1.47step/s] Training: 32%|███▏ | 31654/100000 [6:26:08<13:36:41, 1.39step/s] Training: 32%|███▏ | 31655/100000 [6:26:09<13:25:30, 1.41step/s] Training: 32%|███▏ | 31656/100000 [6:26:09<12:51:51, 1.48step/s] Training: 32%|███▏ | 31657/100000 [6:26:10<13:31:40, 1.40step/s] Training: 32%|███▏ | 31658/100000 [6:26:11<13:37:53, 1.39step/s] Training: 32%|███▏ | 31659/100000 [6:26:12<14:14:31, 1.33step/s] Training: 32%|███▏ | 31660/100000 [6:26:12<13:31:21, 1.40step/s] Training: 32%|███▏ | 31661/100000 [6:26:13<12:54:28, 1.47step/s] Training: 32%|███▏ | 31662/100000 [6:26:14<13:19:27, 1.42step/s] Training: 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[6:26:25<13:29:01, 1.41step/s] Training: 32%|███▏ | 31679/100000 [6:26:26<13:46:35, 1.38step/s] Training: 32%|███▏ | 31680/100000 [6:26:26<13:13:18, 1.44step/s] Training: 32%|███▏ | 31681/100000 [6:26:27<13:43:10, 1.38step/s] Training: 32%|███▏ | 31682/100000 [6:26:28<13:58:54, 1.36step/s] Training: 32%|███▏ | 31683/100000 [6:26:29<13:52:16, 1.37step/s] Training: 32%|███▏ | 31684/100000 [6:26:29<14:07:55, 1.34step/s] Training: 32%|███▏ | 31685/100000 [6:26:30<13:33:49, 1.40step/s] Training: 32%|███▏ | 31686/100000 [6:26:31<13:51:50, 1.37step/s] Training: 32%|███▏ | 31687/100000 [6:26:31<13:50:27, 1.37step/s] Training: 32%|███▏ | 31688/100000 [6:26:32<13:15:18, 1.43step/s] Training: 32%|███▏ | 31689/100000 [6:26:33<13:19:30, 1.42step/s] Training: 32%|███▏ | 31690/100000 [6:26:34<13:24:19, 1.42step/s] Training: 32%|███▏ | 31691/100000 [6:26:34<13:44:46, 1.38step/s] Training: 32%|███▏ | 31692/100000 [6:26:35<13:53:13, 1.37step/s] Training: 32%|███▏ | 31693/100000 [6:26:36<13:15:03, 1.43step/s] Training: 32%|███▏ | 31694/100000 [6:26:36<13:45:05, 1.38step/s] Training: 32%|███▏ | 31695/100000 [6:26:37<14:02:14, 1.35step/s] Training: 32%|███▏ | 31696/100000 [6:26:38<13:22:51, 1.42step/s] Training: 32%|███▏ | 31697/100000 [6:26:39<13:32:50, 1.40step/s] Training: 32%|███▏ | 31698/100000 [6:26:39<13:55:56, 1.36step/s] Training: 32%|███▏ | 31699/100000 [6:26:40<13:56:54, 1.36step/s] Training: 32%|███▏ | 31700/100000 [6:26:41<14:09:43, 1.34step/s]INFO 2026-03-12 09:48:57 ot_train.py:435 step:32K smpl:2M ep:7K epch:26.87 loss:0.150 grdn:9.513 lr:1.6e-05 updt_s:0.695 data_s:0.013 Training: 32%|███▏ | 31701/100000 [6:26:42<13:21:31, 1.42step/s] Training: 32%|███▏ | 31702/100000 [6:26:42<13:38:41, 1.39step/s] Training: 32%|███▏ | 31703/100000 [6:26:43<13:58:16, 1.36step/s] Training: 32%|███▏ | 31704/100000 [6:26:44<13:19:29, 1.42step/s] Training: 32%|███▏ | 31705/100000 [6:26:44<13:42:46, 1.38step/s] Training: 32%|███▏ | 31706/100000 [6:26:45<13:58:11, 1.36step/s] Training: 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[6:26:57<13:26:53, 1.41step/s] Training: 32%|███▏ | 31723/100000 [6:26:57<13:48:04, 1.37step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=15365 Training: 32%|███▏ | 31724/100000 [6:26:58<13:07:14, 1.45step/s] Training: 32%|███▏ | 31725/100000 [6:26:59<13:36:21, 1.39step/s] Training: 32%|███▏ | 31726/100000 [6:27:00<13:43:57, 1.38step/s] Training: 32%|███▏ | 31727/100000 [6:27:00<14:05:47, 1.35step/s] Training: 32%|███▏ | 31728/100000 [6:27:01<13:25:50, 1.41step/s] Training: 32%|███▏ | 31729/100000 [6:27:02<13:38:28, 1.39step/s] Training: 32%|███▏ | 31730/100000 [6:27:02<14:00:05, 1.35step/s] Training: 32%|███▏ | 31731/100000 [6:27:03<14:26:12, 1.31step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=15365 Training: 32%|███▏ | 31732/100000 [6:27:04<13:45:55, 1.38step/s] Training: 32%|███▏ | 31733/100000 [6:27:05<14:08:03, 1.34step/s] Training: 32%|███▏ | 31734/100000 [6:27:05<14:13:34, 1.33step/s] Training: 32%|███▏ | 31735/100000 [6:27:06<14:32:40, 1.30step/s] Training: 32%|███▏ | 31736/100000 [6:27:07<13:48:37, 1.37step/s] Training: 32%|███▏ | 31737/100000 [6:27:08<14:08:42, 1.34step/s] Training: 32%|███▏ | 31738/100000 [6:27:08<14:22:31, 1.32step/s] Training: 32%|███▏ | 31739/100000 [6:27:09<14:10:42, 1.34step/s] Training: 32%|███▏ | 31740/100000 [6:27:10<13:35:30, 1.40step/s] Training: 32%|███▏ | 31741/100000 [6:27:11<14:05:52, 1.34step/s] Training: 32%|███▏ | 31742/100000 [6:27:11<14:16:21, 1.33step/s] Training: 32%|███▏ | 31743/100000 [6:27:12<14:16:20, 1.33step/s] Training: 32%|███▏ | 31744/100000 [6:27:13<13:37:15, 1.39step/s] Training: 32%|███▏ | 31745/100000 [6:27:14<13:56:16, 1.36step/s] Training: 32%|███▏ | 31746/100000 [6:27:14<13:51:14, 1.37step/s] Training: 32%|███▏ | 31747/100000 [6:27:15<13:57:14, 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Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) [Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=3212 Training: 32%|███▏ | 31861/100000 [6:28:41<37:07:13, 1.96s/step] Training: 32%|███▏ | 31862/100000 [6:28:41<30:51:07, 1.63s/step] Training: 32%|███▏ | 31863/100000 [6:28:42<26:09:28, 1.38s/step] Training: 32%|███▏ | 31864/100000 [6:28:43<21:51:46, 1.16s/step] Training: 32%|███▏ | 31865/100000 [6:28:44<19:57:17, 1.05s/step] Training: 32%|███▏ | 31866/100000 [6:28:44<18:28:54, 1.02step/s] Training: 32%|███▏ | 31867/100000 [6:28:45<17:35:01, 1.08step/s] Training: 32%|███▏ | 31868/100000 [6:28:46<15:48:05, 1.20step/s] Training: 32%|███▏ | 31869/100000 [6:28:46<14:29:51, 1.31step/s] Training: 32%|███▏ | 31870/100000 [6:28:47<14:08:40, 1.34step/s] 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[6:35:32<13:07:52, 1.43step/s] Training: 32%|███▏ | 32439/100000 [6:35:33<13:25:10, 1.40step/s] Training: 32%|███▏ | 32440/100000 [6:35:33<12:58:48, 1.45step/s] Training: 32%|███▏ | 32441/100000 [6:35:34<13:33:21, 1.38step/s] Training: 32%|███▏ | 32442/100000 [6:35:35<13:41:44, 1.37step/s] Training: 32%|███▏ | 32443/100000 [6:35:36<13:41:24, 1.37step/s] Training: 32%|███▏ | 32444/100000 [6:35:36<13:00:04, 1.44step/s] Training: 32%|███▏ | 32445/100000 [6:35:37<12:36:46, 1.49step/s] Training: 32%|███▏ | 32446/100000 [6:35:38<12:56:43, 1.45step/s] Training: 32%|███▏ | 32447/100000 [6:35:38<13:00:49, 1.44step/s] Training: 32%|███▏ | 32448/100000 [6:35:39<12:37:19, 1.49step/s] Training: 32%|███▏ | 32449/100000 [6:35:40<13:20:31, 1.41step/s] Training: 32%|███▏ | 32450/100000 [6:35:41<13:18:21, 1.41step/s] Training: 32%|███▏ | 32451/100000 [6:35:41<13:31:16, 1.39step/s] Training: 32%|███▏ | 32452/100000 [6:35:42<13:03:46, 1.44step/s] Training: 32%|███▏ | 32453/100000 [6:35:43<12:38:27, 1.48step/s] Training: 32%|███▏ | 32454/100000 [6:35:43<13:06:07, 1.43step/s] Training: 32%|███▏ | 32455/100000 [6:35:44<13:28:52, 1.39step/s] Training: 32%|███▏ | 32456/100000 [6:35:45<12:59:26, 1.44step/s] Training: 32%|███▏ | 32457/100000 [6:35:45<13:39:23, 1.37step/s] Training: 32%|███▏ | 32458/100000 [6:35:46<13:29:41, 1.39step/s] Training: 32%|███▏ | 32459/100000 [6:35:47<13:45:19, 1.36step/s] Training: 32%|███▏ | 32460/100000 [6:35:48<13:08:31, 1.43step/s] Training: 32%|███▏ | 32461/100000 [6:35:48<12:47:06, 1.47step/s] Training: 32%|███▏ | 32462/100000 [6:35:49<13:21:10, 1.40step/s] Training: 32%|███▏ | 32463/100000 [6:35:50<13:39:33, 1.37step/s] Training: 32%|███▏ | 32464/100000 [6:35:50<13:04:52, 1.43step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=11266 Training: 32%|███▏ | 32465/100000 [6:35:51<13:41:11, 1.37step/s] Training: 32%|███▏ | 32466/100000 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32%|███▏ | 32497/100000 [6:36:14<13:08:12, 1.43step/s] Training: 32%|███▏ | 32498/100000 [6:36:15<13:44:49, 1.36step/s] Training: 32%|███▏ | 32499/100000 [6:36:16<13:50:49, 1.35step/s] Training: 32%|███▎ | 32500/100000 [6:36:16<13:14:59, 1.42step/s]INFO 2026-03-12 09:58:32 ot_train.py:435 step:32K smpl:2M ep:7K epch:27.55 loss:0.136 grdn:8.672 lr:1.5e-05 updt_s:0.700 data_s:0.013 Training: 33%|███▎ | 32501/100000 [6:36:17<12:46:12, 1.47step/s] Training: 33%|███▎ | 32502/100000 [6:36:18<13:12:47, 1.42step/s] Training: 33%|███▎ | 32503/100000 [6:36:18<13:29:04, 1.39step/s] Training: 33%|███▎ | 32504/100000 [6:36:19<12:58:14, 1.45step/s] Training: 33%|███▎ | 32505/100000 [6:36:20<13:24:39, 1.40step/s] Training: 33%|███▎ | 32506/100000 [6:36:20<13:35:18, 1.38step/s] Training: 33%|███▎ | 32507/100000 [6:36:21<13:54:04, 1.35step/s] Training: 33%|███▎ | 32508/100000 [6:36:22<13:18:30, 1.41step/s] Training: 33%|███▎ | 32509/100000 [6:36:22<12:48:44, 1.46step/s] Training: 33%|███▎ | 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33%|███▎ | 32556/100000 [6:36:56<13:19:26, 1.41step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=66465 Training: 33%|███▎ | 32557/100000 [6:36:57<12:51:50, 1.46step/s] Training: 33%|███▎ | 32558/100000 [6:36:57<13:26:20, 1.39step/s] Training: 33%|███▎ | 32559/100000 [6:36:58<13:40:38, 1.37step/s] Training: 33%|███▎ | 32560/100000 [6:36:59<13:04:24, 1.43step/s] Training: 33%|███▎ | 32561/100000 [6:37:00<13:16:40, 1.41step/s] Training: 33%|███▎ | 32562/100000 [6:37:00<13:32:24, 1.38step/s] Training: 33%|███▎ | 32563/100000 [6:37:01<13:44:34, 1.36step/s] Training: 33%|███▎ | 32564/100000 [6:37:02<13:02:02, 1.44step/s] Training: 33%|███▎ | 32565/100000 [6:37:02<13:26:45, 1.39step/s] Training: 33%|███▎ | 32566/100000 [6:37:03<13:50:05, 1.35step/s] Training: 33%|███▎ | 32567/100000 [6:37:04<14:03:14, 1.33step/s] Training: 33%|███▎ | 32568/100000 [6:37:05<13:22:11, 1.40step/s] Training: 33%|███▎ | 32569/100000 [6:37:05<12:56:10, 1.45step/s] Training: 33%|███▎ | 32570/100000 [6:37:06<13:33:00, 1.38step/s] Training: 33%|███▎ | 32571/100000 [6:37:07<13:43:19, 1.36step/s] Training: 33%|███▎ | 32572/100000 [6:37:08<14:02:37, 1.33step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=66465 Training: 33%|███▎ | 32573/100000 [6:37:08<13:18:19, 1.41step/s] Training: 33%|███▎ | 32574/100000 [6:37:09<13:23:16, 1.40step/s] Training: 33%|███▎ | 32575/100000 [6:37:10<13:24:30, 1.40step/s] Training: 33%|███▎ | 32576/100000 [6:37:10<12:53:25, 1.45step/s] Training: 33%|███▎ | 32577/100000 [6:37:11<12:31:46, 1.49step/s] Training: 33%|███▎ | 32578/100000 [6:37:12<13:50:03, 1.35step/s] Training: 33%|███▎ | 32579/100000 [6:37:13<13:44:10, 1.36step/s] Training: 33%|███▎ | 32580/100000 [6:37:13<13:13:03, 1.42step/s] Training: 33%|███▎ | 32581/100000 [6:37:14<13:56:23, 1.34step/s] Training: 33%|███▎ | 32582/100000 [6:37:15<14:07:20, 1.33step/s] Training: 33%|███▎ | 32583/100000 [6:37:16<14:10:10, 1.32step/s] Training: 33%|███▎ | 32584/100000 [6:37:16<13:28:40, 1.39step/s] Training: 33%|███▎ | 32585/100000 [6:37:17<13:00:53, 1.44step/s] Training: 33%|███▎ | 32586/100000 [6:37:18<13:15:25, 1.41step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=34968 Training: 33%|███▎ | 32587/100000 [6:37:18<12:49:30, 1.46step/s] Training: 33%|███▎ | 32588/100000 [6:37:19<13:13:55, 1.42step/s] Training: 33%|███▎ | 32589/100000 [6:37:20<13:56:45, 1.34step/s] Training: 33%|███▎ | 32590/100000 [6:37:21<13:53:24, 1.35step/s] Training: 33%|███▎ | 32591/100000 [6:37:21<14:01:17, 1.34step/s] Training: 33%|███▎ | 32592/100000 [6:37:22<13:22:17, 1.40step/s] Training: 33%|███▎ | 32593/100000 [6:37:23<12:52:44, 1.45step/s] Training: 33%|███▎ | 32594/100000 [6:37:23<13:38:39, 1.37step/s] Training: 33%|███▎ | 32595/100000 [6:37:24<14:02:07, 1.33step/s] Training: 33%|███▎ | 32596/100000 [6:37:25<13:28:17, 1.39step/s] Training: 33%|███▎ | 32597/100000 [6:37:26<13:39:02, 1.37step/s] Training: 33%|███▎ | 32598/100000 [6:37:26<13:57:13, 1.34step/s] Training: 33%|███▎ | 32599/100000 [6:37:27<14:13:37, 1.32step/s] Training: 33%|███▎ | 32600/100000 [6:37:28<13:32:07, 1.38step/s]INFO 2026-03-12 09:59:44 ot_train.py:435 step:33K smpl:2M ep:7K epch:27.63 loss:0.137 grdn:8.989 lr:1.5e-05 updt_s:0.701 data_s:0.013 Training: 33%|███▎ | 32601/100000 [6:37:28<13:05:29, 1.43step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=11266 Training: 33%|███▎ | 32602/100000 [6:37:29<13:30:54, 1.39step/s] Training: 33%|███▎ | 32603/100000 [6:37:30<13:40:22, 1.37step/s] Training: 33%|███▎ | 32604/100000 [6:37:31<13:07:39, 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1.54step/s] Training: 33%|███▎ | 33038/100000 [6:42:36<12:25:08, 1.50step/s] Training: 33%|███▎ | 33039/100000 [6:42:36<12:41:00, 1.47step/s] Training: 33%|███▎ | 33040/100000 [6:42:38<20:53:06, 1.12s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 33%|███▎ | 33041/100000 [6:42:42<36:42:31, 1.97s/step] Training: 33%|███▎ | 33042/100000 [6:42:43<30:52:10, 1.66s/step] Training: 33%|███▎ | 33043/100000 [6:42:44<26:02:38, 1.40s/step] Training: 33%|███▎ | 33044/100000 [6:42:45<21:43:22, 1.17s/step] Training: 33%|███▎ | 33045/100000 [6:42:45<18:40:26, 1.00s/step] Training: 33%|███▎ | 33046/100000 [6:42:46<17:28:03, 1.06step/s] Training: 33%|███▎ | 33047/100000 [6:42:47<16:40:49, 1.11step/s] Training: 33%|███▎ | 33048/100000 [6:42:48<15:16:23, 1.22step/s] Training: 33%|███▎ | 33049/100000 [6:42:48<15:09:13, 1.23step/s] Training: 33%|███▎ | 33050/100000 [6:42:49<14:05:41, 1.32step/s] Training: 33%|███▎ | 33051/100000 [6:42:50<14:25:09, 1.29step/s] Training: 33%|███▎ | 33052/100000 [6:42:50<13:39:38, 1.36step/s] Training: 33%|███▎ | 33053/100000 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[6:43:23<13:30:01, 1.38step/s] Training: 33%|███▎ | 33100/100000 [6:43:24<12:54:22, 1.44step/s]INFO 2026-03-12 10:05:40 ot_train.py:435 step:33K smpl:2M ep:7K epch:28.06 loss:0.130 grdn:8.050 lr:1.5e-05 updt_s:0.689 data_s:0.057 Training: 33%|███▎ | 33101/100000 [6:43:25<12:31:30, 1.48step/s] Training: 33%|███▎ | 33102/100000 [6:43:25<13:04:20, 1.42step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=8788 Training: 33%|███▎ | 33103/100000 [6:43:26<13:33:16, 1.37step/s] Training: 33%|███▎ | 33104/100000 [6:43:27<13:03:16, 1.42step/s] Training: 33%|███▎ | 33105/100000 [6:43:27<12:39:49, 1.47step/s] Training: 33%|███▎ | 33106/100000 [6:43:28<12:20:03, 1.51step/s] Training: 33%|███▎ | 33107/100000 [6:43:29<12:59:46, 1.43step/s] Training: 33%|███▎ | 33108/100000 [6:43:29<12:34:11, 1.48step/s] Training: 33%|███▎ | 33109/100000 [6:43:30<12:22:28, 1.50step/s] Training: 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FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=25651 Training: 33%|███▎ | 33320/100000 [6:45:59<14:07:42, 1.31step/s] Training: 33%|███▎ | 33321/100000 [6:46:00<13:19:28, 1.39step/s] Training: 33%|███▎ | 33322/100000 [6:46:01<12:46:44, 1.45step/s] Training: 33%|███▎ | 33323/100000 [6:46:02<13:30:36, 1.37step/s] Training: 33%|███▎ | 33324/100000 [6:46:02<13:40:56, 1.35step/s] Training: 33%|███▎ | 33325/100000 [6:46:03<13:38:54, 1.36step/s] Training: 33%|███▎ | 33326/100000 [6:46:04<13:32:01, 1.37step/s] Training: 33%|███▎ | 33327/100000 [6:46:04<13:38:06, 1.36step/s] Training: 33%|███▎ | 33328/100000 [6:46:05<13:04:42, 1.42step/s] Training: 33%|███▎ | 33329/100000 [6:46:06<13:45:51, 1.35step/s] Training: 33%|███▎ | 33330/100000 [6:46:07<13:04:31, 1.42step/s] Training: 33%|███▎ | 33331/100000 [6:46:07<13:02:07, 1.42step/s] Training: 33%|███▎ | 33332/100000 [6:46:08<13:07:43, 1.41step/s] 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[6:46:51<13:43:47, 1.35step/s] Training: 33%|███▎ | 33392/100000 [6:46:51<13:05:15, 1.41step/s] Training: 33%|███▎ | 33393/100000 [6:46:52<12:30:38, 1.48step/s] Training: 33%|███▎ | 33394/100000 [6:46:52<12:06:31, 1.53step/s] Training: 33%|███▎ | 33395/100000 [6:46:53<12:47:01, 1.45step/s] Training: 33%|███▎ | 33396/100000 [6:46:54<13:00:15, 1.42step/s] Training: 33%|███▎ | 33397/100000 [6:46:55<12:27:11, 1.49step/s] Training: 33%|███▎ | 33398/100000 [6:46:55<12:59:00, 1.42step/s] Training: 33%|███▎ | 33399/100000 [6:46:56<13:22:26, 1.38step/s] Training: 33%|███▎ | 33400/100000 [6:46:57<12:52:33, 1.44step/s]INFO 2026-03-12 10:09:13 ot_train.py:435 step:33K smpl:2M ep:7K epch:28.31 loss:0.132 grdn:10.945 lr:1.5e-05 updt_s:0.703 data_s:0.012 Training: 33%|███▎ | 33401/100000 [6:46:57<12:29:58, 1.48step/s] Training: 33%|███▎ | 33402/100000 [6:46:58<12:12:57, 1.51step/s] Training: 33%|███▎ | 33403/100000 [6:46:59<12:53:39, 1.43step/s] Training: 33%|███▎ | 33404/100000 [6:47:00<13:40:06, 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ot_train.py:435 step:34K smpl:2M ep:7K epch:28.56 loss:0.133 grdn:8.638 lr:1.5e-05 updt_s:0.708 data_s:0.012 Training: 34%|███▎ | 33701/100000 [6:50:31<12:47:12, 1.44step/s] Training: 34%|███▎ | 33702/100000 [6:50:32<13:20:28, 1.38step/s] Training: 34%|███▎ | 33703/100000 [6:50:33<13:30:45, 1.36step/s] Training: 34%|███▎ | 33704/100000 [6:50:34<13:28:45, 1.37step/s] Training: 34%|███▎ | 33705/100000 [6:50:34<12:54:30, 1.43step/s] Training: 34%|███▎ | 33706/100000 [6:50:35<12:32:40, 1.47step/s] Training: 34%|███▎ | 33707/100000 [6:50:36<13:00:41, 1.42step/s] Training: 34%|███▎ | 33708/100000 [6:50:37<13:23:31, 1.38step/s] Training: 34%|███▎ | 33709/100000 [6:50:37<12:48:33, 1.44step/s] Training: 34%|███▎ | 33710/100000 [6:50:38<13:11:06, 1.40step/s] Training: 34%|███▎ | 33711/100000 [6:50:39<13:28:49, 1.37step/s] Training: 34%|███▎ | 33712/100000 [6:50:39<13:42:11, 1.34step/s] Training: 34%|███▎ | 33713/100000 [6:50:40<13:07:13, 1.40step/s] Training: 34%|███▎ | 33714/100000 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FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=18100 Training: 34%|███▍ | 33819/100000 [6:51:56<12:40:10, 1.45step/s] Training: 34%|███▍ | 33820/100000 [6:51:57<13:00:37, 1.41step/s] Training: 34%|███▍ | 33821/100000 [6:51:57<12:36:14, 1.46step/s] Training: 34%|███▍ | 33822/100000 [6:51:58<13:21:54, 1.38step/s] Training: 34%|███▍ | 33823/100000 [6:51:59<13:37:08, 1.35step/s] Training: 34%|███▍ | 33824/100000 [6:51:59<13:00:13, 1.41step/s] Training: 34%|███▍ | 33825/100000 [6:52:00<13:18:26, 1.38step/s] Training: 34%|███▍ | 33826/100000 [6:52:01<12:46:07, 1.44step/s] Training: 34%|███▍ | 33827/100000 [6:52:02<13:02:45, 1.41step/s] Training: 34%|███▍ | 33828/100000 [6:52:02<13:34:30, 1.35step/s] Training: 34%|███▍ | 33829/100000 [6:52:03<12:59:15, 1.42step/s] Training: 34%|███▍ | 33830/100000 [6:52:04<13:28:38, 1.36step/s] Training: 34%|███▍ | 33831/100000 [6:52:05<14:02:12, 1.31step/s] 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[6:53:09<13:07:05, 1.40step/s] Training: 34%|███▍ | 33922/100000 [6:53:10<13:14:42, 1.39step/s] Training: 34%|███▍ | 33923/100000 [6:53:11<13:26:37, 1.37step/s] Training: 34%|███▍ | 33924/100000 [6:53:12<13:41:39, 1.34step/s] Training: 34%|███▍ | 33925/100000 [6:53:12<12:55:53, 1.42step/s] Training: 34%|███▍ | 33926/100000 [6:53:13<13:09:30, 1.39step/s] Training: 34%|███▍ | 33927/100000 [6:53:14<13:24:58, 1.37step/s] Training: 34%|███▍ | 33928/100000 [6:53:14<12:51:20, 1.43step/s] Training: 34%|███▍ | 33929/100000 [6:53:15<13:10:23, 1.39step/s] Training: 34%|███▍ | 33930/100000 [6:53:16<12:39:49, 1.45step/s] Training: 34%|███▍ | 33931/100000 [6:53:16<13:09:05, 1.40step/s] Training: 34%|███▍ | 33932/100000 [6:53:17<13:26:54, 1.36step/s] Training: 34%|███▍ | 33933/100000 [6:53:18<12:57:30, 1.42step/s] Training: 34%|███▍ | 33934/100000 [6:53:19<13:25:10, 1.37step/s] Training: 34%|███▍ | 33935/100000 [6:53:19<13:31:16, 1.36step/s] Training: 34%|███▍ | 33936/100000 [6:53:20<12:48:06, 1.43step/s] Training: 34%|███▍ | 33937/100000 [6:53:21<13:00:30, 1.41step/s] Training: 34%|███▍ | 33938/100000 [6:53:22<13:24:13, 1.37step/s] Training: 34%|███▍ | 33939/100000 [6:53:22<13:15:27, 1.38step/s] Training: 34%|███▍ | 33940/100000 [6:53:23<13:19:27, 1.38step/s] Training: 34%|███▍ | 33941/100000 [6:53:24<12:48:16, 1.43step/s] Training: 34%|███▍ | 33942/100000 [6:53:24<13:08:15, 1.40step/s] Training: 34%|███▍ | 33943/100000 [6:53:25<13:26:11, 1.37step/s] Training: 34%|███▍ | 33944/100000 [6:53:26<12:52:35, 1.42step/s] Training: 34%|███▍ | 33945/100000 [6:53:26<12:55:45, 1.42step/s] Training: 34%|███▍ | 33946/100000 [6:53:27<12:29:46, 1.47step/s] Training: 34%|███▍ | 33947/100000 [6:53:28<13:01:53, 1.41step/s] Training: 34%|███▍ | 33948/100000 [6:53:29<13:21:10, 1.37step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=43535 Training: 34%|███▍ | 33949/100000 [6:53:29<12:47:00, 1.44step/s] Training: 34%|███▍ | 33950/100000 [6:53:30<13:16:21, 1.38step/s] Training: 34%|███▍ | 33951/100000 [6:53:31<13:18:42, 1.38step/s] Training: 34%|███▍ | 33952/100000 [6:53:31<12:48:06, 1.43step/s] Training: 34%|███▍ | 33953/100000 [6:53:32<13:02:23, 1.41step/s] Training: 34%|███▍ | 33954/100000 [6:53:33<12:37:24, 1.45step/s] Training: 34%|███▍ | 33955/100000 [6:53:34<13:30:48, 1.36step/s] Training: 34%|███▍ | 33956/100000 [6:53:34<13:41:35, 1.34step/s] Training: 34%|███▍ | 33957/100000 [6:53:35<13:03:19, 1.41step/s] Training: 34%|███▍ | 33958/100000 [6:53:36<13:37:06, 1.35step/s] Training: 34%|███▍ | 33959/100000 [6:53:37<13:59:33, 1.31step/s] Training: 34%|███▍ | 33960/100000 [6:53:37<13:16:30, 1.38step/s] Training: 34%|███▍ | 33961/100000 [6:53:38<13:23:07, 1.37step/s] Training: 34%|███▍ | 33962/100000 [6:53:39<12:54:17, 1.42step/s] Training: 34%|███▍ | 33963/100000 [6:53:40<13:36:12, 1.35step/s] Training: 34%|███▍ | 33964/100000 [6:53:40<14:02:01, 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Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=50720 Training: 34%|███▍ | 33980/100000 [6:53:52<13:05:33, 1.40step/s] Training: 34%|███▍ | 33981/100000 [6:53:52<12:30:11, 1.47step/s] Training: 34%|███▍ | 33982/100000 [6:53:53<12:59:32, 1.41step/s] Training: 34%|███▍ | 33983/100000 [6:53:54<13:04:15, 1.40step/s] Training: 34%|███▍ | 33984/100000 [6:53:54<12:40:05, 1.45step/s] Training: 34%|███▍ | 33985/100000 [6:53:55<12:57:30, 1.42step/s] Training: 34%|███▍ | 33986/100000 [6:53:56<12:32:18, 1.46step/s] Training: 34%|███▍ | 33987/100000 [6:53:56<12:06:16, 1.51step/s] Training: 34%|███▍ | 33988/100000 [6:53:57<12:49:13, 1.43step/s] Training: 34%|███▍ | 33989/100000 [6:53:58<12:22:41, 1.48step/s] Training: 34%|███▍ | 33990/100000 [6:53:59<12:57:52, 1.41step/s] Training: 34%|███▍ | 33991/100000 [6:53:59<13:12:53, 1.39step/s] Training: 34%|███▍ | 33992/100000 [6:54:00<12:44:07, 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Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 34%|███▍ | 34221/100000 [6:56:49<36:27:59, 2.00s/step] Training: 34%|███▍ | 34222/100000 [6:56:50<29:07:07, 1.59s/step] Training: 34%|███▍ | 34223/100000 [6:56:51<25:11:51, 1.38s/step] Training: 34%|███▍ | 34224/100000 [6:56:52<22:10:38, 1.21s/step] Training: 34%|███▍ | 34225/100000 [6:56:52<19:48:07, 1.08s/step] Training: 34%|███▍ | 34226/100000 [6:56:53<18:04:07, 1.01step/s] Training: 34%|███▍ | 34227/100000 [6:56:54<16:16:30, 1.12step/s] Training: 34%|███▍ | 34228/100000 [6:56:55<15:38:38, 1.17step/s] Training: 34%|███▍ | 34229/100000 [6:56:55<15:12:41, 1.20step/s] Training: 34%|███▍ | 34230/100000 [6:56:56<13:58:33, 1.31step/s] Training: 34%|███▍ | 34231/100000 [6:56:57<14:16:36, 1.28step/s] Training: 34%|███▍ | 34232/100000 [6:56:57<14:03:11, 1.30step/s] Training: 34%|███▍ | 34233/100000 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[6:59:51<12:55:48, 1.41step/s] Training: 34%|███▍ | 34475/100000 [6:59:52<12:28:02, 1.46step/s] Training: 34%|███▍ | 34476/100000 [6:59:53<12:34:38, 1.45step/s] Training: 34%|███▍ | 34477/100000 [6:59:53<12:15:08, 1.49step/s] Training: 34%|███▍ | 34478/100000 [6:59:54<12:39:42, 1.44step/s] Training: 34%|███▍ | 34479/100000 [6:59:55<13:00:41, 1.40step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=14392 Training: 34%|███▍ | 34480/100000 [6:59:56<13:13:05, 1.38step/s] Training: 34%|███▍ | 34481/100000 [6:59:56<13:26:31, 1.35step/s] Training: 34%|███▍ | 34482/100000 [6:59:57<12:49:12, 1.42step/s] Training: 34%|███▍ | 34483/100000 [6:59:58<12:25:32, 1.46step/s] Training: 34%|███▍ | 34484/100000 [6:59:58<12:42:23, 1.43step/s] Training: 34%|███▍ | 34485/100000 [6:59:59<12:21:10, 1.47step/s] Training: 34%|███▍ | 34486/100000 [7:00:00<12:45:16, 1.43step/s] Training: 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lr:1.5e-05 updt_s:0.693 data_s:0.012 Training: 35%|███▍ | 34501/100000 [7:00:10<12:14:59, 1.49step/s] Training: 35%|███▍ | 34502/100000 [7:00:11<12:21:27, 1.47step/s] Training: 35%|███▍ | 34503/100000 [7:00:12<12:48:48, 1.42step/s] Training: 35%|███▍ | 34504/100000 [7:00:12<13:00:42, 1.40step/s] Training: 35%|███▍ | 34505/100000 [7:00:13<13:19:53, 1.36step/s] Training: 35%|███▍ | 34506/100000 [7:00:14<12:45:16, 1.43step/s] Training: 35%|███▍ | 34507/100000 [7:00:14<12:20:55, 1.47step/s] Training: 35%|███▍ | 34508/100000 [7:00:15<12:39:20, 1.44step/s] Training: 35%|███▍ | 34509/100000 [7:00:16<12:17:22, 1.48step/s] Training: 35%|███▍ | 34510/100000 [7:00:17<12:57:47, 1.40step/s] Training: 35%|███▍ | 34511/100000 [7:00:17<13:17:23, 1.37step/s] Training: 35%|███▍ | 34512/100000 [7:00:18<13:26:17, 1.35step/s] Training: 35%|███▍ | 34513/100000 [7:00:19<13:36:28, 1.34step/s] Training: 35%|███▍ | 34514/100000 [7:00:20<14:02:04, 1.30step/s] Training: 35%|███▍ | 34515/100000 [7:00:20<13:14:05, 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avatarrobotics/pi0fast-orange-hook-right-b64-20260312-0320... 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Root=1-69b2958d-48ae25707bc5778476f38f1b;85bcd98a-84ff-41c3-ba2f-21bb56b3f947) Bad request for commit endpoint: Private repository storage limit reached, please upgrade your plan to increase your private storage limit Training: 35%|███▌ | 35001/100000 [7:07:19<388:49:47, 21.54s/step] Training: 35%|███▌ | 35002/100000 [7:07:19<276:16:04, 15.30s/step] Training: 35%|███▌ | 35003/100000 [7:07:20<196:47:22, 10.90s/step] Training: 35%|███▌ | 35004/100000 [7:07:21<141:11:13, 7.82s/step] Training: 35%|███▌ | 35005/100000 [7:07:21<103:14:08, 5.72s/step] Training: 35%|███▌ | 35006/100000 [7:07:22<76:14:21, 4.22s/step] Training: 35%|███▌ | 35007/100000 [7:07:23<57:37:30, 3.19s/step] Training: 35%|███▌ | 35008/100000 [7:07:24<44:26:27, 2.46s/step] Training: 35%|███▌ | 35009/100000 [7:07:24<35:03:38, 1.94s/step] Training: 35%|███▌ | 35010/100000 [7:07:25<28:43:40, 1.59s/step] Training: 35%|███▌ | 35011/100000 [7:07:26<23:31:35, 1.30s/step] Training: 35%|███▌ | 35012/100000 [7:07:27<20:43:58, 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[7:08:30<13:01:21, 1.38step/s] Training: 35%|███▌ | 35100/100000 [7:08:31<13:17:43, 1.36step/s]INFO 2026-03-12 10:30:47 ot_train.py:435 step:35K smpl:2M ep:8K epch:29.75 loss:0.122 grdn:7.719 lr:1.5e-05 updt_s:0.714 data_s:0.013 Training: 35%|███▌ | 35101/100000 [7:08:31<12:44:41, 1.41step/s] Training: 35%|███▌ | 35102/100000 [7:08:32<13:08:29, 1.37step/s] Training: 35%|███▌ | 35103/100000 [7:08:33<13:29:57, 1.34step/s] Training: 35%|███▌ | 35104/100000 [7:08:34<13:41:16, 1.32step/s] Training: 35%|███▌ | 35105/100000 [7:08:34<13:33:56, 1.33step/s] Training: 35%|███▌ | 35106/100000 [7:08:35<13:53:21, 1.30step/s] Training: 35%|███▌ | 35107/100000 [7:08:36<13:10:53, 1.37step/s] Training: 35%|███▌ | 35108/100000 [7:08:37<13:17:34, 1.36step/s] Training: 35%|███▌ | 35109/100000 [7:08:37<12:48:25, 1.41step/s] Training: 35%|███▌ | 35110/100000 [7:08:38<12:47:45, 1.41step/s] Training: 35%|███▌ | 35111/100000 [7:08:39<13:21:25, 1.35step/s] Training: 35%|███▌ | 35112/100000 [7:08:40<13:28:11, 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[7:09:36<12:15:50, 1.47step/s] Training: 35%|███▌ | 35190/100000 [7:09:36<12:39:33, 1.42step/s] Training: 35%|███▌ | 35191/100000 [7:09:37<12:54:23, 1.39step/s] Training: 35%|███▌ | 35192/100000 [7:09:38<13:17:31, 1.35step/s] Training: 35%|███▌ | 35193/100000 [7:09:39<13:25:29, 1.34step/s] Training: 35%|███▌ | 35194/100000 [7:09:39<13:39:54, 1.32step/s] Training: 35%|███▌ | 35195/100000 [7:09:40<12:56:47, 1.39step/s] Training: 35%|███▌ | 35196/100000 [7:09:41<13:26:12, 1.34step/s] Training: 35%|███▌ | 35197/100000 [7:09:41<12:47:51, 1.41step/s] Training: 35%|███▌ | 35198/100000 [7:09:42<13:09:41, 1.37step/s] Training: 35%|███▌ | 35199/100000 [7:09:43<13:26:32, 1.34step/s] Training: 35%|███▌ | 35200/100000 [7:09:44<13:38:09, 1.32step/s]INFO 2026-03-12 10:32:00 ot_train.py:435 step:35K smpl:2M ep:8K epch:29.84 loss:0.125 grdn:8.415 lr:1.5e-05 updt_s:0.717 data_s:0.013 Training: 35%|███▌ | 35201/100000 [7:09:45<13:46:34, 1.31step/s] Training: 35%|███▌ | 35202/100000 [7:09:45<13:47:21, 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[7:10:49<13:38:05, 1.32step/s] Training: 35%|███▌ | 35290/100000 [7:10:50<13:41:42, 1.31step/s] Training: 35%|███▌ | 35291/100000 [7:10:51<12:57:43, 1.39step/s] Training: 35%|███▌ | 35292/100000 [7:10:51<13:04:43, 1.37step/s] Training: 35%|███▌ | 35293/100000 [7:10:52<12:26:31, 1.44step/s] Training: 35%|███▌ | 35294/100000 [7:10:53<12:52:48, 1.40step/s] Training: 35%|███▌ | 35295/100000 [7:10:53<13:02:41, 1.38step/s] Training: 35%|███▌ | 35296/100000 [7:10:54<13:26:51, 1.34step/s] Training: 35%|███▌ | 35297/100000 [7:10:55<13:29:40, 1.33step/s] Training: 35%|███▌ | 35298/100000 [7:10:56<13:27:07, 1.34step/s] Training: 35%|███▌ | 35299/100000 [7:10:56<12:46:19, 1.41step/s] Training: 35%|███▌ | 35300/100000 [7:10:57<13:06:01, 1.37step/s]INFO 2026-03-12 10:33:13 ot_train.py:435 step:35K smpl:2M ep:8K epch:29.92 loss:0.123 grdn:8.259 lr:1.5e-05 updt_s:0.718 data_s:0.013 Training: 35%|███▌ | 35301/100000 [7:10:58<12:32:06, 1.43step/s] Training: 35%|███▌ | 35302/100000 [7:10:58<12:40:49, 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1.40step/s] Training: 35%|███▌ | 35395/100000 [7:12:06<12:12:00, 1.47step/s] Training: 35%|███▌ | 35396/100000 [7:12:06<12:16:58, 1.46step/s] Training: 35%|███▌ | 35397/100000 [7:12:07<11:59:15, 1.50step/s] Training: 35%|███▌ | 35398/100000 [7:12:08<12:03:03, 1.49step/s] Training: 35%|███▌ | 35399/100000 [7:12:08<11:56:55, 1.50step/s] Training: 35%|███▌ | 35400/100000 [7:12:10<20:09:18, 1.12s/step]INFO 2026-03-12 10:34:26 ot_train.py:435 step:35K smpl:2M ep:8K epch:30.01 loss:0.127 grdn:9.180 lr:1.5e-05 updt_s:0.704 data_s:0.027 huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 35%|███▌ | 35401/100000 [7:12:15<38:18:33, 2.13s/step] Training: 35%|███▌ | 35402/100000 [7:12:16<31:20:40, 1.75s/step] Training: 35%|███▌ | 35403/100000 [7:12:16<25:19:48, 1.41s/step] Training: 35%|███▌ | 35404/100000 [7:12:17<21:44:52, 1.21s/step] Training: 35%|███▌ | 35405/100000 [7:12:18<18:36:50, 1.04s/step] Training: 35%|███▌ | 35406/100000 [7:12:18<16:25:54, 1.09step/s] Training: 35%|███▌ | 35407/100000 [7:12:19<15:50:05, 1.13step/s] Training: 35%|███▌ | 35408/100000 [7:12:20<15:32:40, 1.15step/s] Training: 35%|███▌ | 35409/100000 [7:12:21<14:42:44, 1.22step/s] Training: 35%|███▌ | 35410/100000 [7:12:22<14:27:25, 1.24step/s] Training: 35%|███▌ | 35411/100000 [7:12:22<13:23:14, 1.34step/s] Training: 35%|███▌ | 35412/100000 [7:12:23<13:18:12, 1.35step/s] Training: 35%|███▌ | 35413/100000 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Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=8135 Training: 36%|███▌ | 35801/100000 [7:17:02<13:14:28, 1.35step/s] Training: 36%|███▌ | 35802/100000 [7:17:03<13:26:25, 1.33step/s] Training: 36%|███▌ | 35803/100000 [7:17:04<12:49:53, 1.39step/s] Training: 36%|███▌ | 35804/100000 [7:17:04<13:01:04, 1.37step/s] Training: 36%|███▌ | 35805/100000 [7:17:05<13:15:59, 1.34step/s] Training: 36%|███▌ | 35806/100000 [7:17:06<12:41:42, 1.40step/s] Training: 36%|███▌ | 35807/100000 [7:17:06<12:18:39, 1.45step/s] Training: 36%|███▌ | 35808/100000 [7:17:07<13:29:56, 1.32step/s] Training: 36%|███▌ | 35809/100000 [7:17:08<13:45:25, 1.30step/s] Training: 36%|███▌ | 35810/100000 [7:17:09<13:51:47, 1.29step/s] Training: 36%|███▌ | 35811/100000 [7:17:10<12:58:14, 1.37step/s] Training: 36%|███▌ | 35812/100000 [7:17:10<13:19:28, 1.34step/s] Training: 36%|███▌ | 35813/100000 [7:17:11<12:36:30, 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[7:17:34<13:04:03, 1.36step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=58517 Training: 36%|███▌ | 35845/100000 [7:17:34<12:24:03, 1.44step/s] Training: 36%|███▌ | 35846/100000 [7:17:35<12:38:20, 1.41step/s] Training: 36%|███▌ | 35847/100000 [7:17:36<12:53:59, 1.38step/s] Training: 36%|███▌ | 35848/100000 [7:17:36<13:05:37, 1.36step/s] Training: 36%|███▌ | 35849/100000 [7:17:37<12:30:01, 1.43step/s] Training: 36%|███▌ | 35850/100000 [7:17:38<12:43:08, 1.40step/s] Training: 36%|███▌ | 35851/100000 [7:17:38<12:16:16, 1.45step/s] Training: 36%|███▌ | 35852/100000 [7:17:39<12:50:10, 1.39step/s] Training: 36%|███▌ | 35853/100000 [7:17:40<12:19:28, 1.45step/s] Training: 36%|███▌ | 35854/100000 [7:17:40<11:52:41, 1.50step/s] Training: 36%|███▌ | 35855/100000 [7:17:41<12:30:11, 1.43step/s] Training: 36%|███▌ | 35856/100000 [7:17:42<12:55:20, 1.38step/s] Training: 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[7:18:57<12:55:43, 1.38step/s] Training: 36%|███▌ | 35963/100000 [7:18:58<12:21:44, 1.44step/s] Training: 36%|███▌ | 35964/100000 [7:18:59<12:53:35, 1.38step/s] Training: 36%|███▌ | 35965/100000 [7:18:59<12:15:23, 1.45step/s] Training: 36%|███▌ | 35966/100000 [7:19:00<11:56:50, 1.49step/s] Training: 36%|███▌ | 35967/100000 [7:19:01<11:45:40, 1.51step/s] Training: 36%|███▌ | 35968/100000 [7:19:02<13:05:08, 1.36step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=38810 Training: 36%|███▌ | 35969/100000 [7:19:02<13:07:41, 1.35step/s] Training: 36%|███▌ | 35970/100000 [7:19:03<13:15:18, 1.34step/s] Training: 36%|███▌ | 35971/100000 [7:19:04<12:36:51, 1.41step/s] Training: 36%|███▌ | 35972/100000 [7:19:04<12:56:23, 1.37step/s] Training: 36%|███▌ | 35973/100000 [7:19:05<12:22:46, 1.44step/s] Training: 36%|███▌ | 35974/100000 [7:19:06<12:03:15, 1.48step/s] Training: 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[7:19:17<11:46:52, 1.51step/s] Training: 36%|███▌ | 35991/100000 [7:19:18<11:59:23, 1.48step/s] Training: 36%|███▌ | 35992/100000 [7:19:18<12:14:52, 1.45step/s] Training: 36%|███▌ | 35993/100000 [7:19:19<12:48:18, 1.39step/s] Training: 36%|███▌ | 35994/100000 [7:19:20<12:55:29, 1.38step/s] Training: 36%|███▌ | 35995/100000 [7:19:21<13:18:50, 1.34step/s] Training: 36%|███▌ | 35996/100000 [7:19:21<13:24:53, 1.33step/s] Training: 36%|███▌ | 35997/100000 [7:19:22<12:47:09, 1.39step/s] Training: 36%|███▌ | 35998/100000 [7:19:23<12:23:30, 1.43step/s] Training: 36%|███▌ | 35999/100000 [7:19:23<12:08:41, 1.46step/s] Training: 36%|███▌ | 36000/100000 [7:19:24<13:36:23, 1.31step/s]INFO 2026-03-12 10:41:40 ot_train.py:435 step:36K smpl:2M ep:8K epch:30.51 loss:0.113 grdn:7.219 lr:1.5e-05 updt_s:0.695 data_s:0.012 Training: 36%|███▌ | 36001/100000 [7:19:25<13:47:03, 1.29step/s] Training: 36%|███▌ | 36002/100000 [7:19:26<13:44:07, 1.29step/s] Training: 36%|███▌ | 36003/100000 [7:19:27<13:38:06, 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[7:20:53<12:56:45, 1.37step/s] Training: 36%|███▌ | 36125/100000 [7:20:53<12:29:11, 1.42step/s] Training: 36%|███▌ | 36126/100000 [7:20:54<12:55:02, 1.37step/s] Training: 36%|███▌ | 36127/100000 [7:20:55<13:11:30, 1.34step/s] Training: 36%|███▌ | 36128/100000 [7:20:56<13:25:57, 1.32step/s] Training: 36%|███▌ | 36129/100000 [7:20:56<12:50:06, 1.38step/s] Training: 36%|███▌ | 36130/100000 [7:20:57<13:09:13, 1.35step/s] Training: 36%|███▌ | 36131/100000 [7:20:58<12:27:24, 1.42step/s] Training: 36%|███▌ | 36132/100000 [7:20:58<12:48:20, 1.39step/s] Training: 36%|███▌ | 36133/100000 [7:20:59<12:20:26, 1.44step/s] Training: 36%|███▌ | 36134/100000 [7:21:00<12:34:40, 1.41step/s] Training: 36%|███▌ | 36135/100000 [7:21:01<12:44:51, 1.39step/s] Training: 36%|███▌ | 36136/100000 [7:21:01<13:03:51, 1.36step/s] Training: 36%|███▌ | 36137/100000 [7:21:02<12:23:54, 1.43step/s] Training: 36%|███▌ | 36138/100000 [7:21:03<12:58:37, 1.37step/s] Training: 36%|███▌ | 36139/100000 [7:21:03<12:25:35, 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[7:21:32<12:43:57, 1.39step/s] Training: 36%|███▌ | 36181/100000 [7:21:33<12:22:40, 1.43step/s] Training: 36%|███▌ | 36182/100000 [7:21:33<11:59:43, 1.48step/s] Training: 36%|███▌ | 36183/100000 [7:21:34<12:26:15, 1.43step/s] Training: 36%|███▌ | 36184/100000 [7:21:35<12:43:27, 1.39step/s] Training: 36%|███▌ | 36185/100000 [7:21:36<12:20:29, 1.44step/s] Training: 36%|███▌ | 36186/100000 [7:21:36<12:58:37, 1.37step/s] Training: 36%|███▌ | 36187/100000 [7:21:37<12:21:21, 1.43step/s] Training: 36%|███▌ | 36188/100000 [7:21:38<12:52:26, 1.38step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=27801 Training: 36%|███▌ | 36189/100000 [7:21:38<12:22:29, 1.43step/s] Training: 36%|███▌ | 36190/100000 [7:21:39<12:04:50, 1.47step/s] Training: 36%|███▌ | 36191/100000 [7:21:40<12:32:44, 1.41step/s] Training: 36%|███▌ | 36192/100000 [7:21:41<12:51:47, 1.38step/s] Training: 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[7:22:53<12:31:06, 1.41step/s] Training: 36%|███▋ | 36296/100000 [7:22:54<12:51:02, 1.38step/s] Training: 36%|███▋ | 36297/100000 [7:22:55<13:00:16, 1.36step/s] Training: 36%|███▋ | 36298/100000 [7:22:55<13:03:15, 1.36step/s] Training: 36%|███▋ | 36299/100000 [7:22:56<13:25:22, 1.32step/s] Training: 36%|███▋ | 36300/100000 [7:22:57<13:05:27, 1.35step/s]INFO 2026-03-12 10:45:13 ot_train.py:435 step:36K smpl:2M ep:8K epch:30.77 loss:0.116 grdn:8.304 lr:1.4e-05 updt_s:0.693 data_s:0.012 Training: 36%|███▋ | 36301/100000 [7:22:57<12:31:32, 1.41step/s] Training: 36%|███▋ | 36302/100000 [7:22:58<12:02:00, 1.47step/s] Training: 36%|███▋ | 36303/100000 [7:22:59<12:34:50, 1.41step/s] Training: 36%|███▋ | 36304/100000 [7:23:00<12:56:09, 1.37step/s] Training: 36%|███▋ | 36305/100000 [7:23:00<12:50:01, 1.38step/s] Training: 36%|███▋ | 36306/100000 [7:23:01<12:44:40, 1.39step/s] Training: 36%|███▋ | 36307/100000 [7:23:02<13:11:19, 1.34step/s] Training: 36%|███▋ | 36308/100000 [7:23:03<13:15:01, 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1.13s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 37%|███▋ | 36581/100000 [7:26:20<35:31:04, 2.02s/step] Training: 37%|███▋ | 36582/100000 [7:26:20<28:17:16, 1.61s/step] Training: 37%|███▋ | 36583/100000 [7:26:21<23:07:28, 1.31s/step] Training: 37%|███▋ | 36584/100000 [7:26:22<20:21:38, 1.16s/step] Training: 37%|███▋ | 36585/100000 [7:26:22<17:33:20, 1.00step/s] Training: 37%|███▋ | 36586/100000 [7:26:23<16:30:22, 1.07step/s] Training: 37%|███▋ | 36587/100000 [7:26:24<15:33:57, 1.13step/s] Training: 37%|███▋ | 36588/100000 [7:26:25<14:51:32, 1.19step/s] Training: 37%|███▋ | 36589/100000 [7:26:25<13:37:10, 1.29step/s] Training: 37%|███▋ | 36590/100000 [7:26:26<12:48:49, 1.37step/s] Training: 37%|███▋ | 36591/100000 [7:26:26<12:17:58, 1.43step/s] Training: 37%|███▋ | 36592/100000 [7:26:27<12:27:08, 1.41step/s] Training: 37%|███▋ | 36593/100000 [7:26:28<12:05:21, 1.46step/s] Training: 37%|███▋ | 36594/100000 [7:26:29<12:26:23, 1.42step/s] Training: 37%|███▋ | 36595/100000 [7:26:29<12:34:32, 1.40step/s] Training: 37%|███▋ | 36596/100000 [7:26:30<12:05:02, 1.46step/s] Training: 37%|███▋ | 36597/100000 [7:26:31<12:30:57, 1.41step/s] Training: 37%|███▋ | 36598/100000 [7:26:31<11:58:29, 1.47step/s] Training: 37%|███▋ | 36599/100000 [7:26:32<11:40:56, 1.51step/s] Training: 37%|███▋ | 36600/100000 [7:26:33<12:29:15, 1.41step/s]INFO 2026-03-12 10:48:49 ot_train.py:435 step:37K smpl:2M ep:8K epch:31.02 loss:0.120 grdn:8.234 lr:1.4e-05 updt_s:0.673 data_s:0.059 Training: 37%|███▋ | 36601/100000 [7:26:33<11:58:24, 1.47step/s] Training: 37%|███▋ | 36602/100000 [7:26:34<12:43:31, 1.38step/s] Training: 37%|███▋ | 36603/100000 [7:26:35<13:11:26, 1.34step/s] Training: 37%|███▋ | 36604/100000 [7:26:36<12:33:36, 1.40step/s] Training: 37%|███▋ | 36605/100000 [7:26:36<12:45:16, 1.38step/s] Training: 37%|███▋ | 36606/100000 [7:26:37<12:09:40, 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2026-03-12 10:51:07 ot_train.py:435 step:37K smpl:2M ep:8K epch:31.19 loss:0.107 grdn:8.077 lr:1.4e-05 updt_s:0.680 data_s:0.012 Training: 37%|███▋ | 36801/100000 [7:28:52<12:01:53, 1.46step/s] Training: 37%|███▋ | 36802/100000 [7:28:53<12:18:23, 1.43step/s] Training: 37%|███▋ | 36803/100000 [7:28:53<11:50:50, 1.48step/s] Training: 37%|███▋ | 36804/100000 [7:28:54<11:30:02, 1.53step/s] Training: 37%|███▋ | 36805/100000 [7:28:55<12:04:40, 1.45step/s] Training: 37%|███▋ | 36806/100000 [7:28:55<11:46:58, 1.49step/s] Training: 37%|███▋ | 36807/100000 [7:28:56<11:37:43, 1.51step/s] Training: 37%|███▋ | 36808/100000 [7:28:57<12:10:46, 1.44step/s] Training: 37%|███▋ | 36809/100000 [7:28:58<12:51:33, 1.37step/s] Training: 37%|███▋ | 36810/100000 [7:28:58<12:59:10, 1.35step/s] Training: 37%|███▋ | 36811/100000 [7:28:59<12:26:28, 1.41step/s] Training: 37%|███▋ | 36812/100000 [7:29:00<12:03:06, 1.46step/s] Training: 37%|███▋ | 36813/100000 [7:29:00<12:29:58, 1.40step/s] Training: 37%|███▋ | 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1.40step/s] Training: 37%|███▋ | 36891/100000 [7:29:54<12:01:51, 1.46step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=64762 Training: 37%|███▋ | 36892/100000 [7:29:55<11:43:06, 1.50step/s] Training: 37%|███▋ | 36893/100000 [7:29:56<12:14:37, 1.43step/s] Training: 37%|███▋ | 36894/100000 [7:29:56<11:51:09, 1.48step/s] Training: 37%|███▋ | 36895/100000 [7:29:57<11:40:44, 1.50step/s] Training: 37%|███▋ | 36896/100000 [7:29:58<12:12:32, 1.44step/s] Training: 37%|███▋ | 36897/100000 [7:29:58<11:52:28, 1.48step/s] Training: 37%|███▋ | 36898/100000 [7:29:59<12:23:41, 1.41step/s] Training: 37%|███▋ | 36899/100000 [7:30:00<12:44:00, 1.38step/s] Training: 37%|███▋ | 36900/100000 [7:30:00<12:10:57, 1.44step/s]INFO 2026-03-12 10:52:16 ot_train.py:435 step:37K smpl:2M ep:8K epch:31.28 loss:0.104 grdn:7.598 lr:1.4e-05 updt_s:0.675 data_s:0.012 Training: 37%|███▋ | 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[7:31:56<12:03:27, 1.45step/s] Training: 37%|███▋ | 37068/100000 [7:31:57<11:38:18, 1.50step/s] Training: 37%|███▋ | 37069/100000 [7:31:57<12:07:27, 1.44step/s] Training: 37%|███▋ | 37070/100000 [7:31:58<11:47:11, 1.48step/s] Training: 37%|███▋ | 37071/100000 [7:31:59<11:32:38, 1.51step/s] Training: 37%|███▋ | 37072/100000 [7:31:59<12:14:27, 1.43step/s] Training: 37%|███▋ | 37073/100000 [7:32:00<11:54:39, 1.47step/s] Training: 37%|███▋ | 37074/100000 [7:32:01<12:36:24, 1.39step/s] Training: 37%|███▋ | 37075/100000 [7:32:01<12:08:08, 1.44step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=64762 Training: 37%|███▋ | 37076/100000 [7:32:02<11:39:38, 1.50step/s] Training: 37%|███▋ | 37077/100000 [7:32:03<12:06:14, 1.44step/s] Training: 37%|███▋ | 37078/100000 [7:32:03<11:50:22, 1.48step/s] Training: 37%|███▋ | 37079/100000 [7:32:04<12:30:36, 1.40step/s] Training: 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[7:34:36<11:27:58, 1.52step/s]INFO 2026-03-12 10:56:52 ot_train.py:435 step:37K smpl:2M ep:8K epch:31.62 loss:0.104 grdn:7.232 lr:1.4e-05 updt_s:0.676 data_s:0.012 Training: 37%|███▋ | 37301/100000 [7:34:37<11:56:37, 1.46step/s] Training: 37%|███▋ | 37302/100000 [7:34:37<11:38:49, 1.50step/s] Training: 37%|███▋ | 37303/100000 [7:34:38<11:25:58, 1.52step/s] Training: 37%|███▋ | 37304/100000 [7:34:39<11:56:55, 1.46step/s] Training: 37%|███▋ | 37305/100000 [7:34:39<11:38:44, 1.50step/s] Training: 37%|███▋ | 37306/100000 [7:34:40<12:08:04, 1.44step/s] Training: 37%|███▋ | 37307/100000 [7:34:41<11:44:52, 1.48step/s] Training: 37%|███▋ | 37308/100000 [7:34:41<11:29:49, 1.51step/s] Training: 37%|███▋ | 37309/100000 [7:34:42<12:15:13, 1.42step/s] Training: 37%|███▋ | 37310/100000 [7:34:43<11:50:32, 1.47step/s] Training: 37%|███▋ | 37311/100000 [7:34:43<11:36:50, 1.50step/s] Training: 37%|███▋ | 37312/100000 [7:34:44<12:10:47, 1.43step/s] Training: 37%|███▋ | 37313/100000 [7:34:45<11:53:17, 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[7:35:38<12:21:41, 1.41step/s] Training: 37%|███▋ | 37391/100000 [7:35:39<11:56:08, 1.46step/s] Training: 37%|███▋ | 37392/100000 [7:35:40<12:27:03, 1.40step/s] Training: 37%|███▋ | 37393/100000 [7:35:40<12:06:24, 1.44step/s] Training: 37%|███▋ | 37394/100000 [7:35:41<12:32:02, 1.39step/s] Training: 37%|███▋ | 37395/100000 [7:35:42<12:08:55, 1.43step/s] Training: 37%|███▋ | 37396/100000 [7:35:42<11:50:29, 1.47step/s] Training: 37%|███▋ | 37397/100000 [7:35:43<11:37:54, 1.50step/s] Training: 37%|███▋ | 37398/100000 [7:35:44<12:11:46, 1.43step/s] Training: 37%|███▋ | 37399/100000 [7:35:44<12:34:36, 1.38step/s] Training: 37%|███▋ | 37400/100000 [7:35:45<12:50:16, 1.35step/s]INFO 2026-03-12 10:58:01 ot_train.py:435 step:37K smpl:2M ep:8K epch:31.70 loss:0.102 grdn:7.385 lr:1.4e-05 updt_s:0.678 data_s:0.012 Training: 37%|███▋ | 37401/100000 [7:35:46<12:15:20, 1.42step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance 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1.39step/s] Training: 38%|███▊ | 37642/100000 [7:38:34<12:39:56, 1.37step/s] Training: 38%|███▊ | 37643/100000 [7:38:35<12:00:57, 1.44step/s] Training: 38%|███▊ | 37644/100000 [7:38:35<11:34:45, 1.50step/s] Training: 38%|███▊ | 37645/100000 [7:38:36<11:20:40, 1.53step/s] Training: 38%|███▊ | 37646/100000 [7:38:37<11:53:19, 1.46step/s] Training: 38%|███▊ | 37647/100000 [7:38:37<11:28:52, 1.51step/s] Training: 38%|███▊ | 37648/100000 [7:38:38<11:48:03, 1.47step/s] Training: 38%|███▊ | 37649/100000 [7:38:39<12:12:53, 1.42step/s] Training: 38%|███▊ | 37650/100000 [7:38:40<12:37:54, 1.37step/s] Training: 38%|███▊ | 37651/100000 [7:38:40<12:06:43, 1.43step/s] Training: 38%|███▊ | 37652/100000 [7:38:41<11:44:18, 1.48step/s] Training: 38%|███▊ | 37653/100000 [7:38:41<11:22:49, 1.52step/s] Training: 38%|███▊ | 37654/100000 [7:38:42<12:02:09, 1.44step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=55830 Training: 38%|███▊ | 37655/100000 [7:38:43<11:35:46, 1.49step/s] Training: 38%|███▊ | 37656/100000 [7:38:44<12:06:48, 1.43step/s] Training: 38%|███▊ | 37657/100000 [7:38:44<12:24:10, 1.40step/s] Training: 38%|███▊ | 37658/100000 [7:38:45<12:44:28, 1.36step/s] Training: 38%|███▊ | 37659/100000 [7:38:46<12:09:33, 1.42step/s] Training: 38%|███▊ | 37660/100000 [7:38:46<11:45:16, 1.47step/s] Training: 38%|███▊ | 37661/100000 [7:38:47<11:29:25, 1.51step/s] Training: 38%|███▊ | 37662/100000 [7:38:48<11:47:59, 1.47step/s] Training: 38%|███▊ | 37663/100000 [7:38:48<11:23:54, 1.52step/s] Training: 38%|███▊ | 37664/100000 [7:38:49<11:55:21, 1.45step/s] Training: 38%|███▊ | 37665/100000 [7:38:50<12:21:16, 1.40step/s] Training: 38%|███▊ | 37666/100000 [7:38:51<12:42:56, 1.36step/s] Training: 38%|███▊ | 37667/100000 [7:38:51<12:08:56, 1.43step/s] Training: 38%|███▊ | 37668/100000 [7:38:52<11:49:12, 1.46step/s] Training: 38%|███▊ | 37669/100000 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38%|███▊ | 37700/100000 [7:39:15<11:58:01, 1.45step/s]INFO 2026-03-12 11:01:31 ot_train.py:435 step:38K smpl:2M ep:8K epch:31.95 loss:0.114 grdn:7.811 lr:1.4e-05 updt_s:0.686 data_s:0.012 Training: 38%|███▊ | 37701/100000 [7:39:15<11:36:17, 1.49step/s] Training: 38%|███▊ | 37702/100000 [7:39:16<12:12:40, 1.42step/s] Training: 38%|███▊ | 37703/100000 [7:39:17<11:50:58, 1.46step/s] Training: 38%|███▊ | 37704/100000 [7:39:17<12:23:15, 1.40step/s] Training: 38%|███▊ | 37705/100000 [7:39:18<12:21:16, 1.40step/s] Training: 38%|███▊ | 37706/100000 [7:39:19<12:44:50, 1.36step/s] Training: 38%|███▊ | 37707/100000 [7:39:20<12:13:31, 1.42step/s] Training: 38%|███▊ | 37708/100000 [7:39:20<11:44:35, 1.47step/s] Training: 38%|███▊ | 37709/100000 [7:39:21<11:21:00, 1.52step/s] Training: 38%|███▊ | 37710/100000 [7:39:22<11:55:33, 1.45step/s] Training: 38%|███▊ | 37711/100000 [7:39:22<11:29:15, 1.51step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=8085 Training: 38%|███▊ | 37712/100000 [7:39:23<12:13:54, 1.41step/s] Training: 38%|███▊ | 37713/100000 [7:39:24<12:27:56, 1.39step/s] Training: 38%|███▊ | 37714/100000 [7:39:25<12:45:37, 1.36step/s] Training: 38%|███▊ | 37715/100000 [7:39:25<12:10:35, 1.42step/s] Training: 38%|███▊ | 37716/100000 [7:39:26<11:40:18, 1.48step/s] Training: 38%|███▊ | 37717/100000 [7:39:26<11:24:55, 1.52step/s] Training: 38%|███▊ | 37718/100000 [7:39:27<11:50:23, 1.46step/s] Training: 38%|███▊ | 37719/100000 [7:39:28<11:34:50, 1.49step/s] Training: 38%|███▊ | 37720/100000 [7:39:29<12:08:16, 1.43step/s] Training: 38%|███▊ | 37721/100000 [7:39:29<12:53:36, 1.34step/s] Training: 38%|███▊ | 37722/100000 [7:39:30<13:01:27, 1.33step/s] Training: 38%|███▊ | 37723/100000 [7:39:31<12:24:09, 1.39step/s] Training: 38%|███▊ | 37724/100000 [7:39:31<11:48:36, 1.46step/s] Training: 38%|███▊ | 37725/100000 [7:39:32<11:34:26, 1.49step/s] Training: 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[7:39:43<11:21:08, 1.52step/s] Training: 38%|███▊ | 37742/100000 [7:39:44<11:52:48, 1.46step/s] Training: 38%|███▊ | 37743/100000 [7:39:45<11:35:11, 1.49step/s] Training: 38%|███▊ | 37744/100000 [7:39:45<11:42:59, 1.48step/s] Training: 38%|███▊ | 37745/100000 [7:39:46<11:55:49, 1.45step/s] Training: 38%|███▊ | 37746/100000 [7:39:47<12:12:20, 1.42step/s] Training: 38%|███▊ | 37747/100000 [7:39:47<11:38:43, 1.48step/s] Training: 38%|███▊ | 37748/100000 [7:39:48<11:12:30, 1.54step/s] Training: 38%|███▊ | 37749/100000 [7:39:48<10:54:11, 1.59step/s] Training: 38%|███▊ | 37750/100000 [7:39:49<11:00:02, 1.57step/s] Training: 38%|███▊ | 37751/100000 [7:39:50<10:47:22, 1.60step/s] Training: 38%|███▊ | 37752/100000 [7:39:50<11:21:34, 1.52step/s] Training: 38%|███▊ | 37753/100000 [7:39:51<11:42:24, 1.48step/s] Training: 38%|███▊ | 37754/100000 [7:39:52<12:04:58, 1.43step/s] Training: 38%|███▊ | 37755/100000 [7:39:53<11:34:18, 1.49step/s] Training: 38%|███▊ | 37756/100000 [7:39:53<11:13:21, 1.54step/s] Training: 38%|███▊ | 37757/100000 [7:39:54<10:58:19, 1.58step/s] Training: 38%|███▊ | 37758/100000 [7:39:54<11:15:48, 1.54step/s] Training: 38%|███▊ | 37759/100000 [7:39:55<11:06:27, 1.56step/s] Training: 38%|███▊ | 37760/100000 [7:39:57<19:48:31, 1.15s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 38%|███▊ | 37761/100000 [7:40:02<35:39:45, 2.06s/step] Training: 38%|███▊ | 37762/100000 [7:40:02<29:22:26, 1.70s/step] Training: 38%|███▊ | 37763/100000 [7:40:03<24:57:35, 1.44s/step] Training: 38%|███▊ | 37764/100000 [7:40:04<20:46:18, 1.20s/step] Training: 38%|███▊ | 37765/100000 [7:40:05<17:52:53, 1.03s/step] Training: 38%|███▊ | 37766/100000 [7:40:05<15:50:13, 1.09step/s] Training: 38%|███▊ | 37767/100000 [7:40:06<15:16:13, 1.13step/s] Training: 38%|███▊ | 37768/100000 [7:40:07<14:48:37, 1.17step/s] Training: 38%|███▊ | 37769/100000 [7:40:08<14:10:44, 1.22step/s] Training: 38%|███▊ | 37770/100000 [7:40:08<14:10:51, 1.22step/s] Training: 38%|███▊ | 37771/100000 [7:40:09<13:48:45, 1.25step/s] Training: 38%|███▊ | 37772/100000 [7:40:10<12:54:34, 1.34step/s] Training: 38%|███▊ | 37773/100000 [7:40:10<12:16:24, 1.41step/s] Training: 38%|███▊ | 37774/100000 [7:40:11<11:54:00, 1.45step/s] Training: 38%|███▊ | 37775/100000 [7:40:12<12:24:45, 1.39step/s] Training: 38%|███▊ | 37776/100000 [7:40:13<12:41:17, 1.36step/s] Training: 38%|███▊ | 37777/100000 [7:40:13<12:56:41, 1.34step/s] Training: 38%|███▊ | 37778/100000 [7:40:14<13:15:04, 1.30step/s] Training: 38%|███▊ | 37779/100000 [7:40:15<12:25:22, 1.39step/s] Training: 38%|███▊ | 37780/100000 [7:40:15<11:48:53, 1.46step/s] Training: 38%|███▊ | 37781/100000 [7:40:16<11:36:20, 1.49step/s] Training: 38%|███▊ | 37782/100000 [7:40:17<11:20:18, 1.52step/s] Training: 38%|███▊ | 37783/100000 [7:40:17<11:40:37, 1.48step/s] Training: 38%|███▊ | 37784/100000 [7:40:18<11:58:53, 1.44step/s] Training: 38%|███▊ | 37785/100000 [7:40:19<12:22:17, 1.40step/s] Training: 38%|███▊ | 37786/100000 [7:40:20<12:46:33, 1.35step/s] Training: 38%|███▊ | 37787/100000 [7:40:20<12:10:53, 1.42step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=10850 Training: 38%|███▊ | 37788/100000 [7:40:21<11:52:44, 1.45step/s] Training: 38%|███▊ | 37789/100000 [7:40:21<11:30:15, 1.50step/s] Training: 38%|███▊ | 37790/100000 [7:40:22<11:10:50, 1.55step/s] Training: 38%|███▊ | 37791/100000 [7:40:23<11:28:54, 1.51step/s] Training: 38%|███▊ | 37792/100000 [7:40:24<11:59:50, 1.44step/s] Training: 38%|███▊ | 37793/100000 [7:40:24<12:12:39, 1.42step/s] Training: 38%|███▊ | 37794/100000 [7:40:25<12:37:03, 1.37step/s] Training: 38%|███▊ | 37795/100000 [7:40:26<12:50:57, 1.34step/s] Training: 38%|███▊ | 37796/100000 [7:40:26<12:14:59, 1.41step/s] Training: 38%|███▊ | 37797/100000 [7:40:27<11:48:40, 1.46step/s] Training: 38%|███▊ | 37798/100000 [7:40:28<11:25:24, 1.51step/s] Training: 38%|███▊ | 37799/100000 [7:40:28<11:59:41, 1.44step/s] Training: 38%|███▊ | 37800/100000 [7:40:29<12:28:38, 1.38step/s]INFO 2026-03-12 11:02:45 ot_train.py:435 step:38K smpl:2M ep:8K epch:32.04 loss:0.098 grdn:7.165 lr:1.4e-05 updt_s:0.683 data_s:0.062 Training: 38%|███▊ | 37801/100000 [7:40:30<12:23:16, 1.39step/s] Training: 38%|███▊ | 37802/100000 [7:40:31<12:34:43, 1.37step/s] Training: 38%|███▊ | 37803/100000 [7:40:32<12:47:58, 1.35step/s] Training: 38%|███▊ | 37804/100000 [7:40:32<12:12:11, 1.42step/s] Training: 38%|███▊ | 37805/100000 [7:40:33<11:51:42, 1.46step/s] Training: 38%|███▊ | 37806/100000 [7:40:33<11:36:22, 1.49step/s] Training: 38%|███▊ | 37807/100000 [7:40:34<11:55:36, 1.45step/s] Training: 38%|███▊ | 37808/100000 [7:40:35<12:32:21, 1.38step/s] Training: 38%|███▊ | 37809/100000 [7:40:36<12:47:52, 1.35step/s] Training: 38%|███▊ | 37810/100000 [7:40:37<13:00:56, 1.33step/s] Training: 38%|███▊ | 37811/100000 [7:40:37<13:01:13, 1.33step/s] Training: 38%|███▊ | 37812/100000 [7:40:38<12:22:56, 1.40step/s] Training: 38%|███▊ | 37813/100000 [7:40:39<11:58:32, 1.44step/s] Training: 38%|███▊ | 37814/100000 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[7:41:12<11:53:06, 1.45step/s] Training: 38%|███▊ | 37861/100000 [7:41:13<12:26:45, 1.39step/s] Training: 38%|███▊ | 37862/100000 [7:41:14<11:56:37, 1.45step/s] Training: 38%|███▊ | 37863/100000 [7:41:14<11:59:59, 1.44step/s] Training: 38%|███▊ | 37864/100000 [7:41:15<12:26:04, 1.39step/s] Training: 38%|███▊ | 37865/100000 [7:41:16<12:23:51, 1.39step/s] Training: 38%|███▊ | 37866/100000 [7:41:16<12:39:05, 1.36step/s] Training: 38%|███▊ | 37867/100000 [7:41:17<12:05:15, 1.43step/s] Training: 38%|███▊ | 37868/100000 [7:41:18<11:35:50, 1.49step/s] Training: 38%|███▊ | 37869/100000 [7:41:19<12:33:59, 1.37step/s] Training: 38%|███▊ | 37870/100000 [7:41:19<12:01:57, 1.43step/s] Training: 38%|███▊ | 37871/100000 [7:41:20<12:16:35, 1.41step/s] Training: 38%|███▊ | 37872/100000 [7:41:21<12:41:09, 1.36step/s] Training: 38%|███▊ | 37873/100000 [7:41:21<12:55:20, 1.34step/s] Training: 38%|███▊ | 37874/100000 [7:41:22<13:08:58, 1.31step/s] Training: 38%|███▊ | 37875/100000 [7:41:23<12:31:23, 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[7:42:27<11:16:27, 1.53step/s] Training: 38%|███▊ | 37966/100000 [7:42:27<11:03:16, 1.56step/s] Training: 38%|███▊ | 37967/100000 [7:42:28<11:28:34, 1.50step/s] Training: 38%|███▊ | 37968/100000 [7:42:29<12:13:01, 1.41step/s] Training: 38%|███▊ | 37969/100000 [7:42:30<12:28:28, 1.38step/s] Training: 38%|███▊ | 37970/100000 [7:42:30<12:43:43, 1.35step/s] Training: 38%|███▊ | 37971/100000 [7:42:31<12:07:37, 1.42step/s] Training: 38%|███▊ | 37972/100000 [7:42:32<11:47:53, 1.46step/s] Training: 38%|███▊ | 37973/100000 [7:42:32<11:35:28, 1.49step/s] Training: 38%|███▊ | 37974/100000 [7:42:33<11:19:07, 1.52step/s] Training: 38%|███▊ | 37975/100000 [7:42:34<11:57:34, 1.44step/s] Training: 38%|███▊ | 37976/100000 [7:42:34<12:19:18, 1.40step/s] Training: 38%|███▊ | 37977/100000 [7:42:35<12:27:57, 1.38step/s] Training: 38%|███▊ | 37978/100000 [7:42:36<12:48:41, 1.34step/s] Training: 38%|███▊ | 37979/100000 [7:42:37<12:12:10, 1.41step/s] Training: 38%|███▊ | 37980/100000 [7:42:37<11:46:29, 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tolerance_s=2.0)., retrying with idx=56227 Training: 38%|███▊ | 37994/100000 [7:42:47<12:22:26, 1.39step/s] Training: 38%|███▊ | 37995/100000 [7:42:48<11:55:12, 1.44step/s] Training: 38%|███▊ | 37996/100000 [7:42:48<11:34:01, 1.49step/s] Training: 38%|███▊ | 37997/100000 [7:42:49<11:18:55, 1.52step/s] Training: 38%|███▊ | 37998/100000 [7:42:49<11:06:00, 1.55step/s] Training: 38%|███▊ | 37999/100000 [7:42:50<11:27:34, 1.50step/s] Training: 38%|███▊ | 38000/100000 [7:42:51<12:03:02, 1.43step/s]INFO 2026-03-12 11:05:07 ot_train.py:435 step:38K smpl:2M ep:8K epch:32.21 loss:0.097 grdn:7.287 lr:1.4e-05 updt_s:0.690 data_s:0.012 Training: 38%|███▊ | 38001/100000 [7:42:52<12:14:44, 1.41step/s] Training: 38%|███▊ | 38002/100000 [7:42:53<12:38:14, 1.36step/s] Training: 38%|███▊ | 38003/100000 [7:42:53<12:12:45, 1.41step/s] Training: 38%|███▊ | 38004/100000 [7:42:54<11:48:33, 1.46step/s] Training: 38%|███▊ | 38005/100000 [7:42:54<11:32:41, 1.49step/s] Training: 38%|███▊ | 38006/100000 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violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=29380 Training: 38%|███▊ | 38210/100000 [7:45:19<12:50:23, 1.34step/s] Training: 38%|███▊ | 38211/100000 [7:45:19<12:55:47, 1.33step/s] Training: 38%|███▊ | 38212/100000 [7:45:20<12:17:21, 1.40step/s] Training: 38%|███▊ | 38213/100000 [7:45:21<11:42:41, 1.47step/s] Training: 38%|███▊ | 38214/100000 [7:45:21<12:12:08, 1.41step/s] Training: 38%|███▊ | 38215/100000 [7:45:22<12:10:05, 1.41step/s] Training: 38%|███▊ | 38216/100000 [7:45:23<12:32:12, 1.37step/s] Training: 38%|███▊ | 38217/100000 [7:45:24<12:41:38, 1.35step/s] Training: 38%|███▊ | 38218/100000 [7:45:24<12:35:44, 1.36step/s] Training: 38%|███▊ | 38219/100000 [7:45:25<12:35:26, 1.36step/s] Training: 38%|███▊ | 38220/100000 [7:45:26<12:01:25, 1.43step/s] Training: 38%|███▊ | 38221/100000 [7:45:27<12:28:21, 1.38step/s] Training: 38%|███▊ | 38222/100000 [7:45:27<11:58:41, 1.43step/s] Training: 38%|███▊ | 38223/100000 [7:45:28<11:58:29, 1.43step/s] Training: 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1.40step/s]INFO 2026-03-12 11:08:39 ot_train.py:435 step:38K smpl:2M ep:8K epch:32.46 loss:0.103 grdn:6.822 lr:1.4e-05 updt_s:0.700 data_s:0.012 Training: 38%|███▊ | 38301/100000 [7:46:23<11:46:48, 1.45step/s] Training: 38%|███▊ | 38302/100000 [7:46:24<11:30:29, 1.49step/s] Training: 38%|███▊ | 38303/100000 [7:46:25<12:04:58, 1.42step/s] Training: 38%|███▊ | 38304/100000 [7:46:26<12:31:21, 1.37step/s] Training: 38%|███▊ | 38305/100000 [7:46:26<12:49:01, 1.34step/s] Training: 38%|███▊ | 38306/100000 [7:46:27<13:00:58, 1.32step/s] Training: 38%|███▊ | 38307/100000 [7:46:28<13:03:43, 1.31step/s] Training: 38%|███▊ | 38308/100000 [7:46:29<12:13:57, 1.40step/s] Training: 38%|███▊ | 38309/100000 [7:46:29<11:46:48, 1.45step/s] Training: 38%|███▊ | 38310/100000 [7:46:30<11:31:28, 1.49step/s] Training: 38%|███▊ | 38311/100000 [7:46:31<12:06:40, 1.41step/s] Training: 38%|███▊ | 38312/100000 [7:46:31<12:11:27, 1.41step/s] Training: 38%|███▊ | 38313/100000 [7:46:32<12:11:54, 1.40step/s] Training: 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[7:50:49<11:42:55, 1.45step/s] Training: 39%|███▊ | 38673/100000 [7:50:49<12:03:59, 1.41step/s] Training: 39%|███▊ | 38674/100000 [7:50:50<12:06:07, 1.41step/s] Training: 39%|███▊ | 38675/100000 [7:50:51<12:24:44, 1.37step/s] Training: 39%|███▊ | 38676/100000 [7:50:52<11:52:41, 1.43step/s] Training: 39%|███▊ | 38677/100000 [7:50:52<11:23:33, 1.50step/s] Training: 39%|███▊ | 38678/100000 [7:50:53<11:12:24, 1.52step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=49411 Training: 39%|███▊ | 38679/100000 [7:50:54<11:53:03, 1.43step/s] Training: 39%|███▊ | 38680/100000 [7:50:54<12:20:43, 1.38step/s] Training: 39%|███▊ | 38681/100000 [7:50:55<12:37:16, 1.35step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=56227 Training: 39%|███▊ | 38682/100000 [7:50:56<12:03:09, 1.41step/s] Training: 39%|███▊ | 38683/100000 [7:50:57<12:24:51, 1.37step/s] Training: 39%|███▊ | 38684/100000 [7:50:57<11:48:56, 1.44step/s] Training: 39%|███▊ | 38685/100000 [7:50:58<11:33:18, 1.47step/s] Training: 39%|███▊ | 38686/100000 [7:50:58<11:20:09, 1.50step/s] Training: 39%|███▊ | 38687/100000 [7:50:59<12:03:56, 1.41step/s] Training: 39%|███▊ | 38688/100000 [7:51:00<12:32:06, 1.36step/s] Training: 39%|███▊ | 38689/100000 [7:51:01<12:57:05, 1.31step/s] Training: 39%|███▊ | 38690/100000 [7:51:02<13:00:52, 1.31step/s] Training: 39%|███▊ | 38691/100000 [7:51:02<12:50:42, 1.33step/s] Training: 39%|███▊ | 38692/100000 [7:51:03<12:30:24, 1.36step/s] Training: 39%|███▊ | 38693/100000 [7:51:04<12:05:31, 1.41step/s] Training: 39%|███▊ | 38694/100000 [7:51:04<11:42:06, 1.46step/s] Training: 39%|███▊ | 38695/100000 [7:51:05<11:57:53, 1.42step/s] Training: 39%|███▊ | 38696/100000 [7:51:06<12:22:38, 1.38step/s] Training: 39%|███▊ | 38697/100000 [7:51:07<12:31:35, 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1.47step/s] Training: 39%|███▉ | 38937/100000 [7:53:57<11:59:11, 1.42step/s] Training: 39%|███▉ | 38938/100000 [7:53:58<11:57:01, 1.42step/s] Training: 39%|███▉ | 38939/100000 [7:53:59<12:01:40, 1.41step/s] Training: 39%|███▉ | 38940/100000 [7:54:01<18:35:59, 1.10s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISMTOKENIZERS_PARALLELISM=(true | false) =(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 39%|███▉ | 38941/100000 [7:54:05<33:32:37, 1.98s/step] Training: 39%|███▉ | 38942/100000 [7:54:05<26:48:30, 1.58s/step] Training: 39%|███▉ | 38943/100000 [7:54:06<22:53:19, 1.35s/step] Training: 39%|███▉ | 38944/100000 [7:54:07<20:07:26, 1.19s/step] Training: 39%|███▉ | 38945/100000 [7:54:08<18:17:50, 1.08s/step] Training: 39%|███▉ | 38946/100000 [7:54:09<16:49:35, 1.01step/s] Training: 39%|███▉ | 38947/100000 [7:54:09<15:45:35, 1.08step/s] Training: 39%|███▉ | 38948/100000 [7:54:10<14:08:50, 1.20step/s] Training: 39%|███▉ | 38949/100000 [7:54:11<12:58:11, 1.31step/s] Training: 39%|███▉ | 38950/100000 [7:54:11<12:09:37, 1.39step/s] Training: 39%|███▉ | 38951/100000 [7:54:12<12:21:47, 1.37step/s] Training: 39%|███▉ | 38952/100000 [7:54:13<12:45:17, 1.33step/s] Training: 39%|███▉ | 38953/100000 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1.51step/s] Training: 40%|████ | 40000/100000 [8:06:33<11:41:30, 1.43step/s]INFO 2026-03-12 11:28:49 ot_train.py:435 step:40K smpl:3M ep:9K epch:33.90 loss:0.098 grdn:7.373 lr:1.3e-05 updt_s:0.677 data_s:0.012 INFO 2026-03-12 11:28:49 ot_train.py:455 Checkpoint policy after step 40000 [Avatar] Pushing checkpoint (step 40000) to avatarrobotics/pi0fast-orange-hook-right-b64-20260312-0320... 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...12-0320/model.safetensors: 68%|██████▊ | 4.00GB / 5.85GB  Processing Files (0 / 1) : 68%|██████▊ | 4.00GB / 5.85GB, 162MB/s New Data Upload : 98%|█████████▊| 3.99GB / 4.09GB, 162MB/s  ...12-0320/model.safetensors: 69%|██████▉ | 4.04GB / 5.85GB  Processing Files (0 / 1) : 69%|██████▉ | 4.04GB / 5.85GB, 161MB/s New Data Upload : 97%|█████████▋| 4.02GB / 4.16GB, 161MB/s  ...12-0320/model.safetensors: 69%|██████▉ | 4.06GB / 5.85GB  Processing Files (0 / 1) : 69%|██████▉ | 4.06GB / 5.85GB, 161MB/s New Data Upload : 97%|█████████▋| 4.05GB / 4.16GB, 161MB/s  ...12-0320/model.safetensors: 70%|███████ | 4.10GB / 5.85GB  Processing Files (0 / 1) : 70%|███████ | 4.10GB / 5.85GB, 162MB/s New Data Upload : 97%|█████████▋| 4.08GB / 4.22GB, 162MB/s  ...12-0320/model.safetensors: 71%|███████ | 4.13GB / 5.85GB  Processing Files (0 / 1) : 71%|███████ | 4.13GB / 5.85GB, 162MB/s New Data Upload : 97%|█████████▋| 4.12GB / 4.22GB, 162MB/s  ...12-0320/model.safetensors: 71%|███████ | 4.16GB / 5.85GB  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5.85GB, 164MB/s New Data Upload : 98%|█████████▊| 4.32GB / 4.43GB, 164MB/s  ...12-0320/model.safetensors: 75%|███████▍ | 4.37GB / 5.85GB  Processing Files (0 / 1) : 75%|███████▍ | 4.37GB / 5.85GB, 163MB/s New Data Upload : 98%|█████████▊| 4.35GB / 4.43GB, 163MB/s  ...12-0320/model.safetensors: 75%|███████▌ | 4.40GB / 5.85GB  Processing Files (0 / 1) : 75%|███████▌ | 4.40GB / 5.85GB, 162MB/s New Data Upload : 98%|█████████▊| 4.39GB / 4.49GB, 162MB/s  ...12-0320/model.safetensors: 76%|███████▌ | 4.43GB / 5.85GB  Processing Files (0 / 1) : 76%|███████▌ | 4.43GB / 5.85GB, 161MB/s New Data Upload : 98%|█████████▊| 4.42GB / 4.49GB, 161MB/s  ...12-0320/model.safetensors: 76%|███████▋ | 4.47GB / 5.85GB  Processing Files (0 / 1) : 76%|███████▋ | 4.47GB / 5.85GB, 163MB/s New Data Upload : 98%|█████████▊| 4.46GB / 4.56GB, 163MB/s  ...12-0320/model.safetensors: 77%|███████▋ | 4.50GB / 5.85GB  Processing Files (0 / 1) : 77%|███████▋ | 4.50GB / 5.85GB, 163MB/s New Data Upload : 98%|█████████▊| 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has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISMTOKENIZERS_PARALLELISM=(true | false) =(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 40%|████ | 40121/100000 [8:09:16<34:01:58, 2.05s/step] Training: 40%|████ | 40122/100000 [8:09:17<27:02:12, 1.63s/step] Training: 40%|████ | 40123/100000 [8:09:17<23:03:25, 1.39s/step] Training: 40%|████ | 40124/100000 [8:09:18<20:09:17, 1.21s/step] Training: 40%|████ | 40125/100000 [8:09:19<17:11:07, 1.03s/step] Training: 40%|████ | 40126/100000 [8:09:19<15:09:41, 1.10step/s] Training: 40%|████ | 40127/100000 [8:09:20<13:49:39, 1.20step/s] Training: 40%|████ | 40128/100000 [8:09:21<13:19:28, 1.25step/s] Training: 40%|████ | 40129/100000 [8:09:22<13:12:31, 1.26step/s] Training: 40%|████ | 40130/100000 [8:09:22<12:21:39, 1.35step/s] Training: 40%|████ | 40131/100000 [8:09:23<12:21:07, 1.35step/s] Training: 40%|████ | 40132/100000 [8:09:24<12:27:59, 1.33step/s] Training: 40%|████ | 40133/100000 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FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=57796 Training: 40%|████ | 40341/100000 [8:11:51<11:45:20, 1.41step/s] Training: 40%|████ | 40342/100000 [8:11:52<11:24:46, 1.45step/s] Training: 40%|████ | 40343/100000 [8:11:52<11:10:13, 1.48step/s] Training: 40%|████ | 40344/100000 [8:11:53<12:00:58, 1.38step/s] Training: 40%|████ | 40345/100000 [8:11:54<12:06:03, 1.37step/s] Training: 40%|████ | 40346/100000 [8:11:55<12:19:41, 1.34step/s] Training: 40%|████ | 40347/100000 [8:11:55<12:18:11, 1.35step/s] Training: 40%|████ | 40348/100000 [8:11:56<12:31:27, 1.32step/s] Training: 40%|████ | 40349/100000 [8:11:57<11:53:09, 1.39step/s] Training: 40%|████ | 40350/100000 [8:11:57<11:30:44, 1.44step/s] Training: 40%|████ | 40351/100000 [8:11:58<12:06:22, 1.37step/s] Training: 40%|████ | 40352/100000 [8:11:59<11:29:43, 1.44step/s] Training: 40%|████ | 40353/100000 [8:12:00<11:48:30, 1.40step/s] 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Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=2844 Training: 41%|████ | 40711/100000 [8:16:12<11:05:55, 1.48step/s] Training: 41%|████ | 40712/100000 [8:16:13<10:50:50, 1.52step/s] Training: 41%|████ | 40713/100000 [8:16:14<11:27:04, 1.44step/s] Training: 41%|████ | 40714/100000 [8:16:15<11:35:07, 1.42step/s] Training: 41%|████ | 40715/100000 [8:16:15<11:49:20, 1.39step/s] Training: 41%|████ | 40716/100000 [8:16:16<12:08:13, 1.36step/s] Training: 41%|████ | 40717/100000 [8:16:17<12:17:25, 1.34step/s] Training: 41%|████ | 40718/100000 [8:16:17<11:42:18, 1.41step/s] Training: 41%|████ | 40719/100000 [8:16:18<11:10:58, 1.47step/s] Training: 41%|████ | 40720/100000 [8:16:19<10:56:29, 1.50step/s] Training: 41%|████ | 40721/100000 [8:16:19<11:19:28, 1.45step/s] Training: 41%|████ | 40722/100000 [8:16:20<11:49:14, 1.39step/s] Training: 41%|████ | 40723/100000 [8:16:21<12:09:53, 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[8:17:15<11:01:29, 1.49step/s]INFO 2026-03-12 11:39:31 ot_train.py:435 step:41K smpl:3M ep:9K epch:34.58 loss:0.093 grdn:6.457 lr:1.3e-05 updt_s:0.688 data_s:0.012 Training: 41%|████ | 40801/100000 [8:17:16<11:04:19, 1.49step/s] Training: 41%|████ | 40802/100000 [8:17:17<11:33:56, 1.42step/s] Training: 41%|████ | 40803/100000 [8:17:17<11:42:03, 1.41step/s] Training: 41%|████ | 40804/100000 [8:17:18<12:02:03, 1.37step/s] Training: 41%|████ | 40805/100000 [8:17:19<12:14:34, 1.34step/s] Training: 41%|████ | 40806/100000 [8:17:19<11:34:29, 1.42step/s] Training: 41%|████ | 40807/100000 [8:17:20<11:14:24, 1.46step/s] Training: 41%|████ | 40808/100000 [8:17:21<10:59:36, 1.50step/s] Training: 41%|████ | 40809/100000 [8:17:21<11:33:16, 1.42step/s] Training: 41%|████ | 40810/100000 [8:17:22<11:40:24, 1.41step/s] Training: 41%|████ | 40811/100000 [8:17:23<11:50:00, 1.39step/s] Training: 41%|████ | 40812/100000 [8:17:24<12:24:08, 1.33step/s] Training: 41%|████ | 40813/100000 [8:17:24<12:10:57, 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[8:18:19<11:34:54, 1.42step/s] Training: 41%|████ | 40891/100000 [8:18:20<11:36:28, 1.41step/s] Training: 41%|████ | 40892/100000 [8:18:21<11:39:42, 1.41step/s] Training: 41%|████ | 40893/100000 [8:18:21<11:50:44, 1.39step/s] Training: 41%|████ | 40894/100000 [8:18:22<11:54:09, 1.38step/s] Training: 41%|████ | 40895/100000 [8:18:23<11:20:52, 1.45step/s] Training: 41%|████ | 40896/100000 [8:18:23<11:05:17, 1.48step/s] Training: 41%|████ | 40897/100000 [8:18:24<11:13:40, 1.46step/s] Training: 41%|████ | 40898/100000 [8:18:25<11:37:58, 1.41step/s] Training: 41%|████ | 40899/100000 [8:18:26<11:43:36, 1.40step/s] Training: 41%|████ | 40900/100000 [8:18:26<12:00:35, 1.37step/s]INFO 2026-03-12 11:40:42 ot_train.py:435 step:41K smpl:3M ep:9K epch:34.67 loss:0.093 grdn:6.913 lr:1.3e-05 updt_s:0.699 data_s:0.013 Training: 41%|████ | 40901/100000 [8:18:27<12:08:37, 1.35step/s] Training: 41%|████ | 40902/100000 [8:18:28<11:30:50, 1.43step/s] Training: 41%|████ | 40903/100000 [8:18:29<11:50:48, 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FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=1817 Training: 41%|████ | 41067/100000 [8:20:26<11:58:17, 1.37step/s] Training: 41%|████ | 41068/100000 [8:20:26<11:58:57, 1.37step/s] Training: 41%|████ | 41069/100000 [8:20:27<11:57:39, 1.37step/s] Training: 41%|████ | 41070/100000 [8:20:28<11:26:17, 1.43step/s] Training: 41%|████ | 41071/100000 [8:20:28<10:58:28, 1.49step/s] Training: 41%|████ | 41072/100000 [8:20:29<10:39:39, 1.54step/s] Training: 41%|████ | 41073/100000 [8:20:30<11:09:28, 1.47step/s] Training: 41%|████ | 41074/100000 [8:20:31<11:34:16, 1.41step/s] Training: 41%|████ | 41075/100000 [8:20:31<11:59:29, 1.36step/s] Training: 41%|████ | 41076/100000 [8:20:32<12:13:29, 1.34step/s] Training: 41%|████ | 41077/100000 [8:20:33<12:06:19, 1.35step/s] Training: 41%|████ | 41078/100000 [8:20:33<11:34:45, 1.41step/s] Training: 41%|████ | 41079/100000 [8:20:34<11:13:13, 1.46step/s] Training: 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[8:21:57<12:03:18, 1.35step/s] Training: 41%|████ | 41196/100000 [8:21:57<12:10:19, 1.34step/s] Training: 41%|████ | 41197/100000 [8:21:58<11:33:02, 1.41step/s] Training: 41%|████ | 41198/100000 [8:21:59<11:54:51, 1.37step/s] Training: 41%|████ | 41199/100000 [8:21:59<11:23:51, 1.43step/s] Training: 41%|████ | 41200/100000 [8:22:00<11:01:51, 1.48step/s]INFO 2026-03-12 11:44:16 ot_train.py:435 step:41K smpl:3M ep:9K epch:34.92 loss:0.094 grdn:6.439 lr:1.3e-05 updt_s:0.695 data_s:0.012 Training: 41%|████ | 41201/100000 [8:22:01<11:34:37, 1.41step/s] Training: 41%|████ | 41202/100000 [8:22:02<11:50:49, 1.38step/s] Training: 41%|████ | 41203/100000 [8:22:02<12:08:27, 1.35step/s] Training: 41%|████ | 41204/100000 [8:22:03<12:08:16, 1.35step/s] Training: 41%|████ | 41205/100000 [8:22:04<11:33:13, 1.41step/s] Training: 41%|████ | 41206/100000 [8:22:04<11:55:29, 1.37step/s] Training: 41%|████ | 41207/100000 [8:22:05<12:14:06, 1.33step/s] Training: 41%|████ | 41208/100000 [8:22:06<11:31:54, 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1.42step/s] Training: 41%|████▏ | 41300/100000 [8:23:13<19:01:29, 1.17s/step]INFO 2026-03-12 11:45:29 ot_train.py:435 step:41K smpl:3M ep:9K epch:35.01 loss:0.092 grdn:7.170 lr:1.3e-05 updt_s:0.706 data_s:0.027 huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 41%|████▏ | 41301/100000 [8:23:18<33:42:22, 2.07s/step] Training: 41%|████▏ | 41302/100000 [8:23:18<26:43:34, 1.64s/step] Training: 41%|████▏ | 41303/100000 [8:23:19<22:41:23, 1.39s/step] Training: 41%|████▏ | 41304/100000 [8:23:20<18:57:11, 1.16s/step] Training: 41%|████▏ | 41305/100000 [8:23:20<16:55:22, 1.04s/step] Training: 41%|████▏ | 41306/100000 [8:23:21<16:01:26, 1.02step/s] Training: 41%|████▏ | 41307/100000 [8:23:22<15:09:08, 1.08step/s] Training: 41%|████▏ | 41308/100000 [8:23:23<14:18:46, 1.14step/s] Training: 41%|████▏ | 41309/100000 [8:23:24<13:31:13, 1.21step/s] Training: 41%|████▏ | 41310/100000 [8:23:24<12:31:28, 1.30step/s] Training: 41%|████▏ | 41311/100000 [8:23:25<12:26:02, 1.31step/s] Training: 41%|████▏ | 41312/100000 [8:23:26<11:51:26, 1.37step/s] Training: 41%|████▏ | 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ot_train.py:435 step:42K smpl:3M ep:9K epch:35.18 loss:0.087 grdn:6.010 lr:1.3e-05 updt_s:0.714 data_s:0.013 Training: 42%|████▏ | 41501/100000 [8:25:43<12:22:55, 1.31step/s] Training: 42%|████▏ | 41502/100000 [8:25:44<11:37:45, 1.40step/s] Training: 42%|████▏ | 41503/100000 [8:25:45<11:54:30, 1.36step/s] Training: 42%|████▏ | 41504/100000 [8:25:45<12:01:30, 1.35step/s] Training: 42%|████▏ | 41505/100000 [8:25:46<11:54:59, 1.36step/s] Training: 42%|████▏ | 41506/100000 [8:25:47<11:56:44, 1.36step/s] Training: 42%|████▏ | 41507/100000 [8:25:48<11:47:35, 1.38step/s] Training: 42%|████▏ | 41508/100000 [8:25:48<12:01:36, 1.35step/s] Training: 42%|████▏ | 41509/100000 [8:25:49<11:56:24, 1.36step/s] Training: 42%|████▏ | 41510/100000 [8:25:50<11:21:22, 1.43step/s] Training: 42%|████▏ | 41511/100000 [8:25:50<11:34:11, 1.40step/s] Training: 42%|████▏ | 41512/100000 [8:25:51<11:48:47, 1.38step/s] Training: 42%|████▏ | 41513/100000 [8:25:52<12:03:06, 1.35step/s] Training: 42%|████▏ | 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FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=14392 Training: 42%|████▏ | 42022/100000 [8:32:01<11:41:09, 1.38step/s] Training: 42%|████▏ | 42023/100000 [8:32:02<11:11:31, 1.44step/s] Training: 42%|████▏ | 42024/100000 [8:32:02<11:31:59, 1.40step/s] Training: 42%|████▏ | 42025/100000 [8:32:03<11:56:13, 1.35step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=37633 Training: 42%|████▏ | 42026/100000 [8:32:04<11:24:44, 1.41step/s] Training: 42%|████▏ | 42027/100000 [8:32:05<11:40:10, 1.38step/s] Training: 42%|████▏ | 42028/100000 [8:32:05<11:53:53, 1.35step/s] Training: 42%|████▏ | 42029/100000 [8:32:06<11:55:53, 1.35step/s] Training: 42%|████▏ | 42030/100000 [8:32:07<11:56:46, 1.35step/s] Training: 42%|████▏ | 42031/100000 [8:32:08<11:28:26, 1.40step/s] Training: 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42120/100000 [8:33:11<11:23:17, 1.41step/s] Training: 42%|████▏ | 42121/100000 [8:33:12<11:37:54, 1.38step/s] Training: 42%|████▏ | 42122/100000 [8:33:13<11:11:16, 1.44step/s] Training: 42%|████▏ | 42123/100000 [8:33:13<11:23:49, 1.41step/s] Training: 42%|████▏ | 42124/100000 [8:33:14<11:51:50, 1.36step/s] Training: 42%|████▏ | 42125/100000 [8:33:15<11:23:13, 1.41step/s] Training: 42%|████▏ | 42126/100000 [8:33:16<11:38:10, 1.38step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=63778 Training: 42%|████▏ | 42127/100000 [8:33:16<11:12:21, 1.43step/s] Training: 42%|████▏ | 42128/100000 [8:33:17<11:31:25, 1.40step/s] Training: 42%|████▏ | 42129/100000 [8:33:18<11:39:58, 1.38step/s] Training: 42%|████▏ | 42130/100000 [8:33:18<11:13:47, 1.43step/s] Training: 42%|████▏ | 42131/100000 [8:33:19<11:37:28, 1.38step/s] Training: 42%|████▏ | 42132/100000 [8:33:20<11:43:50, 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1.49step/s] Training: 42%|████▏ | 42472/100000 [8:37:23<11:01:12, 1.45step/s] Training: 42%|████▏ | 42473/100000 [8:37:23<11:10:02, 1.43step/s] Training: 42%|████▏ | 42474/100000 [8:37:24<11:07:09, 1.44step/s] Training: 42%|████▏ | 42475/100000 [8:37:25<10:38:06, 1.50step/s] Training: 42%|████▏ | 42476/100000 [8:37:25<10:52:16, 1.47step/s] Training: 42%|████▏ | 42477/100000 [8:37:26<10:36:23, 1.51step/s] Training: 42%|████▏ | 42478/100000 [8:37:27<10:16:41, 1.55step/s] Training: 42%|████▏ | 42479/100000 [8:37:27<10:35:59, 1.51step/s] Training: 42%|████▏ | 42480/100000 [8:37:30<17:51:07, 1.12s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 42%|████▏ | 42481/100000 [8:37:33<31:24:58, 1.97s/step] Training: 42%|████▏ | 42482/100000 [8:37:34<26:27:41, 1.66s/step] Training: 42%|████▏ | 42483/100000 [8:37:35<22:13:40, 1.39s/step] Training: 42%|████▏ | 42484/100000 [8:37:36<19:14:26, 1.20s/step] Training: 42%|████▏ | 42485/100000 [8:37:37<16:23:50, 1.03s/step] Training: 42%|████▏ | 42486/100000 [8:37:37<14:30:01, 1.10step/s] Training: 42%|████▏ | 42487/100000 [8:37:38<13:49:57, 1.15step/s] Training: 42%|████▏ | 42488/100000 [8:37:39<13:20:54, 1.20step/s] Training: 42%|████▏ | 42489/100000 [8:37:39<12:59:39, 1.23step/s] Training: 42%|████▏ | 42490/100000 [8:37:40<12:05:35, 1.32step/s] Training: 42%|████▏ | 42491/100000 [8:37:41<12:13:04, 1.31step/s] Training: 42%|████▏ | 42492/100000 [8:37:42<12:16:50, 1.30step/s] Training: 42%|████▏ | 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1.38step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=20520 Training: 43%|████▎ | 42697/100000 [8:40:09<11:54:26, 1.34step/s] Training: 43%|████▎ | 42698/100000 [8:40:09<11:24:50, 1.39step/s] Training: 43%|████▎ | 42699/100000 [8:40:10<11:43:16, 1.36step/s] Training: 43%|████▎ | 42700/100000 [8:40:11<11:57:59, 1.33step/s]INFO 2026-03-12 12:02:27 ot_train.py:435 step:43K smpl:3M ep:9K epch:36.19 loss:0.083 grdn:5.957 lr:1.3e-05 updt_s:0.705 data_s:0.012 Training: 43%|████▎ | 42701/100000 [8:40:12<11:19:21, 1.41step/s] Training: 43%|████▎ | 42702/100000 [8:40:12<11:00:03, 1.45step/s] Training: 43%|████▎ | 42703/100000 [8:40:13<11:08:22, 1.43step/s] Training: 43%|████▎ | 42704/100000 [8:40:14<12:11:18, 1.31step/s] Training: 43%|████▎ | 42705/100000 [8:40:15<12:23:00, 1.29step/s] Training: 43%|████▎ | 42706/100000 [8:40:15<11:43:33, 1.36step/s] Training: 43%|████▎ 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1.40step/s] Training: 44%|████▎ | 43650/100000 [8:51:27<10:47:14, 1.45step/s] Training: 44%|████▎ | 43651/100000 [8:51:28<10:26:35, 1.50step/s] Training: 44%|████▎ | 43652/100000 [8:51:28<10:37:56, 1.47step/s] Training: 44%|████▎ | 43653/100000 [8:51:29<10:45:50, 1.45step/s] Training: 44%|████▎ | 43654/100000 [8:51:30<10:20:06, 1.51step/s] Training: 44%|████▎ | 43655/100000 [8:51:30<10:34:01, 1.48step/s] Training: 44%|████▎ | 43656/100000 [8:51:31<10:29:01, 1.49step/s] Training: 44%|████▎ | 43657/100000 [8:51:32<10:37:45, 1.47step/s] Training: 44%|████▎ | 43658/100000 [8:51:32<11:04:52, 1.41step/s] Training: 44%|████▎ | 43659/100000 [8:51:33<10:42:54, 1.46step/s] Training: 44%|████▎ | 43660/100000 [8:51:35<17:21:46, 1.11s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) [Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=14408 Training: 44%|████▎ | 43661/100000 [8:51:39<30:39:24, 1.96s/step] Training: 44%|████▎ | 43662/100000 [8:51:40<24:30:20, 1.57s/step] Training: 44%|████▎ | 43663/100000 [8:51:41<21:02:43, 1.34s/step] Training: 44%|████▎ | 43664/100000 [8:51:41<18:26:28, 1.18s/step] Training: 44%|████▎ | 43665/100000 [8:51:42<16:44:33, 1.07s/step] Training: 44%|████▎ | 43666/100000 [8:51:43<15:32:54, 1.01step/s] Training: 44%|████▎ | 43667/100000 [8:51:44<13:49:23, 1.13step/s] Training: 44%|████▎ | 43668/100000 [8:51:44<13:19:06, 1.17step/s] Training: 44%|████▎ | 43669/100000 [8:51:45<12:10:37, 1.28step/s] Training: 44%|████▎ | 43670/100000 [8:51:46<12:06:19, 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1.37step/s]INFO 2026-03-12 12:14:24 ot_train.py:435 step:44K smpl:3M ep:10K epch:37.04 loss:0.081 grdn:7.974 lr:1.2e-05 updt_s:0.705 data_s:0.054 Training: 44%|████▎ | 43701/100000 [8:52:08<10:50:47, 1.44step/s] Training: 44%|████▎ | 43702/100000 [8:52:09<11:04:51, 1.41step/s] Training: 44%|████▎ | 43703/100000 [8:52:10<11:05:24, 1.41step/s] Training: 44%|████▎ | 43704/100000 [8:52:10<11:26:47, 1.37step/s] Training: 44%|████▎ | 43705/100000 [8:52:11<11:33:02, 1.35step/s] Training: 44%|████▎ | 43706/100000 [8:52:12<11:04:18, 1.41step/s] Training: 44%|████▎ | 43707/100000 [8:52:13<11:28:49, 1.36step/s] Training: 44%|████▎ | 43708/100000 [8:52:13<11:38:56, 1.34step/s] Training: 44%|████▎ | 43709/100000 [8:52:14<11:41:36, 1.34step/s] Training: 44%|████▎ | 43710/100000 [8:52:15<11:02:45, 1.42step/s] Training: 44%|████▎ | 43711/100000 [8:52:16<11:19:23, 1.38step/s] Training: 44%|████▎ | 43712/100000 [8:52:16<11:22:34, 1.37step/s] Training: 44%|████▎ | 43713/100000 [8:52:17<10:55:35, 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query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=40419 Training: 44%|████▍ | 43831/100000 [8:53:41<11:11:40, 1.39step/s] Training: 44%|████▍ | 43832/100000 [8:53:41<11:14:07, 1.39step/s] Training: 44%|████▍ | 43833/100000 [8:53:42<11:08:12, 1.40step/s] Training: 44%|████▍ | 43834/100000 [8:53:43<10:42:35, 1.46step/s] Training: 44%|████▍ | 43835/100000 [8:53:43<10:31:10, 1.48step/s] Training: 44%|████▍ | 43836/100000 [8:53:44<11:01:50, 1.41step/s] Training: 44%|████▍ | 43837/100000 [8:53:45<11:21:25, 1.37step/s] Training: 44%|████▍ | 43838/100000 [8:53:46<11:25:49, 1.36step/s] Training: 44%|████▍ | 43839/100000 [8:53:46<11:25:46, 1.36step/s] Training: 44%|████▍ | 43840/100000 [8:53:47<11:20:37, 1.38step/s] Training: 44%|████▍ | 43841/100000 [8:53:48<10:52:18, 1.43step/s] Training: 44%|████▍ | 43842/100000 [8:53:48<11:05:12, 1.41step/s] Training: 44%|████▍ | 43843/100000 [8:53:49<10:40:19, 1.46step/s] Training: 44%|████▍ | 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(tensor([2.0333]) > tolerance_s=2, retrying with idx=9396 Training: 44%|████▍ | 44323/100000 [8:59:32<10:25:09, 1.48step/s] Training: 44%|████▍ | 44324/100000 [8:59:33<10:57:45, 1.41step/s] Training: 44%|████▍ | 44325/100000 [8:59:34<11:13:34, 1.38step/s] Training: 44%|████▍ | 44326/100000 [8:59:35<10:45:01, 1.44step/s] Training: 44%|████▍ | 44327/100000 [8:59:35<11:03:10, 1.40step/s] Training: 44%|████▍ | 44328/100000 [8:59:36<10:35:06, 1.46step/s] Training: 44%|████▍ | 44329/100000 [8:59:37<10:58:30, 1.41step/s] Training: 44%|████▍ | 44330/100000 [8:59:37<10:28:38, 1.48step/s] Training: 44%|████▍ | 44331/100000 [8:59:38<10:12:37, 1.51step/s] Training: 44%|████▍ | 44332/100000 [8:59:39<10:47:49, 1.43step/s] Training: 44%|████▍ | 44333/100000 [8:59:40<11:11:53, 1.38step/s] Training: 44%|████▍ | 44334/100000 [8:59:40<10:48:47, 1.43step/s] Training: 44%|████▍ | 44335/100000 [8:59:41<10:49:51, 1.43step/s] Training: 44%|████▍ | 44336/100000 [8:59:42<11:02:32, 1.40step/s] Training: 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44382/100000 [9:00:14<10:31:08, 1.47step/s] Training: 44%|████▍ | 44383/100000 [9:00:15<10:56:24, 1.41step/s] Training: 44%|████▍ | 44384/100000 [9:00:15<10:55:27, 1.41step/s] Training: 44%|████▍ | 44385/100000 [9:00:16<11:08:58, 1.39step/s] Training: 44%|████▍ | 44386/100000 [9:00:17<10:43:00, 1.44step/s] Training: 44%|████▍ | 44387/100000 [9:00:17<10:18:25, 1.50step/s] Training: 44%|████▍ | 44388/100000 [9:00:18<10:35:36, 1.46step/s] Training: 44%|████▍ | 44389/100000 [9:00:19<11:03:26, 1.40step/s] Training: 44%|████▍ | 44390/100000 [9:00:20<11:20:57, 1.36step/s] Training: 44%|████▍ | 44391/100000 [9:00:20<11:26:07, 1.35step/s] Training: 44%|████▍ | 44392/100000 [9:00:21<10:53:29, 1.42step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=8888 Training: 44%|████▍ | 44393/100000 [9:00:22<11:07:53, 1.39step/s] Training: 44%|████▍ | 44394/100000 [9:00:22<10:40:45, 1.45step/s] Training: 44%|████▍ | 44395/100000 [9:00:23<10:23:05, 1.49step/s] Training: 44%|████▍ | 44396/100000 [9:00:24<10:44:14, 1.44step/s] Training: 44%|████▍ | 44397/100000 [9:00:24<10:56:14, 1.41step/s] Training: 44%|████▍ | 44398/100000 [9:00:25<11:17:12, 1.37step/s] Training: 44%|████▍ | 44399/100000 [9:00:26<11:11:21, 1.38step/s] Training: 44%|████▍ | 44400/100000 [9:00:27<11:20:55, 1.36step/s]INFO 2026-03-12 12:22:43 ot_train.py:435 step:44K smpl:3M ep:10K epch:37.63 loss:0.077 grdn:6.020 lr:1.2e-05 updt_s:0.693 data_s:0.012 Training: 44%|████▍ | 44401/100000 [9:00:27<11:28:11, 1.35step/s] Training: 44%|████▍ | 44402/100000 [9:00:28<10:56:56, 1.41step/s] Training: 44%|████▍ | 44403/100000 [9:00:29<10:28:38, 1.47step/s] Training: 44%|████▍ | 44404/100000 [9:00:29<10:38:28, 1.45step/s] Training: 44%|████▍ | 44405/100000 [9:00:30<11:05:53, 1.39step/s] Training: 44%|████▍ | 44406/100000 [9:00:31<11:25:55, 1.35step/s] Training: 44%|████▍ | 44407/100000 [9:00:32<11:15:26, 1.37step/s] Training: 44%|████▍ | 44408/100000 [9:00:32<11:28:20, 1.35step/s] Training: 44%|████▍ | 44409/100000 [9:00:33<11:19:53, 1.36step/s] Training: 44%|████▍ | 44410/100000 [9:00:34<10:49:34, 1.43step/s] Training: 44%|████▍ | 44411/100000 [9:00:34<10:28:44, 1.47step/s] Training: 44%|████▍ | 44412/100000 [9:00:35<10:36:23, 1.46step/s] Training: 44%|████▍ | 44413/100000 [9:00:36<10:55:29, 1.41step/s] Training: 44%|████▍ | 44414/100000 [9:00:37<11:15:29, 1.37step/s] Training: 44%|████▍ | 44415/100000 [9:00:37<11:20:22, 1.36step/s] Training: 44%|████▍ | 44416/100000 [9:00:38<11:19:05, 1.36step/s] Training: 44%|████▍ | 44417/100000 [9:00:39<11:20:36, 1.36step/s] Training: 44%|████▍ | 44418/100000 [9:00:39<10:44:17, 1.44step/s] Training: 44%|████▍ | 44419/100000 [9:00:40<10:24:23, 1.48step/s] Training: 44%|████▍ | 44420/100000 [9:00:41<10:51:31, 1.42step/s] Training: 44%|████▍ | 44421/100000 [9:00:42<11:03:57, 1.40step/s] Training: 44%|████▍ | 44422/100000 [9:00:42<11:15:15, 1.37step/s] Training: 44%|████▍ | 44423/100000 [9:00:43<11:18:45, 1.36step/s] Training: 44%|████▍ | 44424/100000 [9:00:44<10:53:01, 1.42step/s] Training: 44%|████▍ | 44425/100000 [9:00:45<11:15:49, 1.37step/s] Training: 44%|████▍ | 44426/100000 [9:00:45<10:46:53, 1.43step/s] Training: 44%|████▍ | 44427/100000 [9:00:46<10:33:11, 1.46step/s] Training: 44%|████▍ | 44428/100000 [9:00:47<10:59:40, 1.40step/s] Training: 44%|████▍ | 44429/100000 [9:00:47<11:19:26, 1.36step/s] Training: 44%|████▍ | 44430/100000 [9:00:48<10:56:57, 1.41step/s] Training: 44%|████▍ | 44431/100000 [9:00:49<11:16:24, 1.37step/s] Training: 44%|████▍ | 44432/100000 [9:00:50<11:18:26, 1.37step/s] Training: 44%|████▍ | 44433/100000 [9:00:50<11:33:41, 1.34step/s] Training: 44%|████▍ | 44434/100000 [9:00:51<11:06:41, 1.39step/s] Training: 44%|████▍ | 44435/100000 [9:00:52<10:35:07, 1.46step/s] Training: 44%|████▍ | 44436/100000 [9:00:52<10:45:43, 1.43step/s] Training: 44%|████▍ | 44437/100000 [9:00:53<11:09:50, 1.38step/s] Training: 44%|████▍ | 44438/100000 [9:00:54<10:37:47, 1.45step/s] Training: 44%|████▍ | 44439/100000 [9:00:54<10:58:37, 1.41step/s] Training: 44%|████▍ | 44440/100000 [9:00:55<11:10:51, 1.38step/s] Training: 44%|████▍ | 44441/100000 [9:00:56<11:02:07, 1.40step/s] Training: 44%|████▍ | 44442/100000 [9:00:57<10:31:06, 1.47step/s] Training: 44%|████▍ | 44443/100000 [9:00:57<10:09:54, 1.52step/s] Training: 44%|████▍ | 44444/100000 [9:00:58<10:24:03, 1.48step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=73581 Training: 44%|████▍ | 44445/100000 [9:00:59<10:52:24, 1.42step/s] Training: 44%|████▍ | 44446/100000 [9:00:59<10:31:09, 1.47step/s] Training: 44%|████▍ | 44447/100000 [9:01:00<11:02:51, 1.40step/s] Training: 44%|████▍ | 44448/100000 [9:01:01<11:05:45, 1.39step/s] Training: 44%|████▍ | 44449/100000 [9:01:02<11:12:46, 1.38step/s] Training: 44%|████▍ | 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epch:37.97 loss:0.081 grdn:6.099 lr:1.2e-05 updt_s:0.714 data_s:0.013 Training: 45%|████▍ | 44801/100000 [9:05:14<11:16:17, 1.36step/s] Training: 45%|████▍ | 44802/100000 [9:05:15<11:25:42, 1.34step/s] Training: 45%|████▍ | 44803/100000 [9:05:16<10:51:24, 1.41step/s] Training: 45%|████▍ | 44804/100000 [9:05:16<11:10:53, 1.37step/s] Training: 45%|████▍ | 44805/100000 [9:05:17<11:19:53, 1.35step/s] Training: 45%|████▍ | 44806/100000 [9:05:18<11:25:23, 1.34step/s] Training: 45%|████▍ | 44807/100000 [9:05:18<10:53:05, 1.41step/s] Training: 45%|████▍ | 44808/100000 [9:05:19<11:09:07, 1.37step/s] Training: 45%|████▍ | 44809/100000 [9:05:20<11:29:49, 1.33step/s] Training: 45%|████▍ | 44810/100000 [9:05:21<11:33:34, 1.33step/s] Training: 45%|████▍ | 44811/100000 [9:05:21<10:59:09, 1.40step/s] Training: 45%|████▍ | 44812/100000 [9:05:22<11:09:36, 1.37step/s] Training: 45%|████▍ | 44813/100000 [9:05:23<11:14:35, 1.36step/s] Training: 45%|████▍ | 44814/100000 [9:05:24<11:07:31, 1.38step/s] 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Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) [Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=57242 Training: 45%|████▍ | 44841/100000 [9:05:47<31:08:47, 2.03s/step] Training: 45%|████▍ | 44842/100000 [9:05:48<25:32:09, 1.67s/step] Training: 45%|████▍ | 44843/100000 [9:05:49<22:02:48, 1.44s/step] Training: 45%|████▍ | 44844/100000 [9:05:50<19:03:55, 1.24s/step] Training: 45%|████▍ | 44845/100000 [9:05:51<16:59:20, 1.11s/step] Training: 45%|████▍ | 44846/100000 [9:05:51<15:17:42, 1.00step/s] Training: 45%|████▍ | 44847/100000 [9:05:52<13:42:01, 1.12step/s] Training: 45%|████▍ | 44848/100000 [9:05:53<12:26:00, 1.23step/s] Training: 45%|████▍ | 44849/100000 [9:05:54<13:06:56, 1.17step/s] Training: 45%|████▍ | 44850/100000 [9:05:54<11:59:34, 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1.35step/s] Training: 45%|████▍ | 44999/100000 [9:07:42<11:41:04, 1.31step/s] Training: 45%|████▌ | 45000/100000 [9:07:43<11:30:28, 1.33step/s]INFO 2026-03-12 12:29:59 ot_train.py:435 step:45K smpl:3M ep:10K epch:38.14 loss:0.075 grdn:5.768 lr:1.2e-05 updt_s:0.712 data_s:0.012 INFO 2026-03-12 12:29:59 ot_train.py:455 Checkpoint policy after step 45000 [Avatar] Pushing checkpoint (step 45000) to avatarrobotics/pi0fast-orange-hook-right-b64-20260312-0320... 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3.36GB / 5.85GB, 164MB/s New Data Upload : 98%|█████████▊| 3.34GB / 3.42GB, 164MB/s  ...12-0320/model.safetensors: 58%|█████▊ | 3.39GB / 5.85GB  Processing Files (0 / 1) : 58%|█████▊ | 3.39GB / 5.85GB, 163MB/s New Data Upload : 97%|█████████▋| 3.37GB / 3.49GB, 163MB/s  ...12-0320/model.safetensors: 58%|█████▊ | 3.41GB / 5.85GB  Processing Files (0 / 1) : 58%|█████▊ | 3.41GB / 5.85GB, 163MB/s New Data Upload : 97%|█████████▋| 3.39GB / 3.49GB, 163MB/s  ...12-0320/model.safetensors: 59%|█████▉ | 3.46GB / 5.85GB  Processing Files (0 / 1) : 59%|█████▉ | 3.46GB / 5.85GB, 164MB/s New Data Upload : 97%|█████████▋| 3.44GB / 3.55GB, 164MB/s  ...12-0320/model.safetensors: 60%|█████▉ | 3.48GB / 5.85GB  Processing Files (0 / 1) : 60%|█████▉ | 3.48GB / 5.85GB, 163MB/s New Data Upload : 97%|█████████▋| 3.46GB / 3.55GB, 163MB/s  ...12-0320/model.safetensors: 60%|██████ | 3.52GB / 5.85GB  Processing Files (0 / 1) : 60%|██████ | 3.52GB / 5.85GB, 163MB/s New Data Upload : 97%|█████████▋| 3.50GB / 3.62GB, 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violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=21052 Training: 45%|████▌ | 45262/100000 [9:12:04<11:31:33, 1.32step/s] Training: 45%|████▌ | 45263/100000 [9:12:05<10:58:42, 1.38step/s] Training: 45%|████▌ | 45264/100000 [9:12:06<11:08:21, 1.36step/s] Training: 45%|████▌ | 45265/100000 [9:12:06<11:17:32, 1.35step/s] Training: 45%|████▌ | 45266/100000 [9:12:07<10:46:53, 1.41step/s] Training: 45%|████▌ | 45267/100000 [9:12:08<11:14:11, 1.35step/s] Training: 45%|████▌ | 45268/100000 [9:12:08<11:10:13, 1.36step/s] Training: 45%|████▌ | 45269/100000 [9:12:09<11:23:40, 1.33step/s] Training: 45%|████▌ | 45270/100000 [9:12:10<11:41:11, 1.30step/s] Training: 45%|████▌ | 45271/100000 [9:12:11<11:01:28, 1.38step/s] Training: 45%|████▌ | 45272/100000 [9:12:11<11:09:08, 1.36step/s] Training: 45%|████▌ | 45273/100000 [9:12:12<10:40:29, 1.42step/s] Training: 45%|████▌ | 45274/100000 [9:12:13<10:54:27, 1.39step/s] Training: 45%|████▌ | 45275/100000 [9:12:14<11:03:33, 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ot_train.py:435 step:46K smpl:3M ep:10K epch:38.91 loss:0.075 grdn:6.678 lr:1.2e-05 updt_s:0.718 data_s:0.012 Training: 46%|████▌ | 45901/100000 [9:19:51<10:37:01, 1.42step/s] Training: 46%|████▌ | 45902/100000 [9:19:51<10:50:29, 1.39step/s] Training: 46%|████▌ | 45903/100000 [9:19:52<11:05:21, 1.36step/s] Training: 46%|████▌ | 45904/100000 [9:19:53<10:34:43, 1.42step/s] Training: 46%|████▌ | 45905/100000 [9:19:54<10:42:27, 1.40step/s] Training: 46%|████▌ | 45906/100000 [9:19:54<10:53:01, 1.38step/s] Training: 46%|████▌ | 45907/100000 [9:19:55<10:22:01, 1.45step/s] Training: 46%|████▌ | 45908/100000 [9:19:56<10:45:31, 1.40step/s] Training: 46%|████▌ | 45909/100000 [9:19:56<10:56:22, 1.37step/s] Training: 46%|████▌ | 45910/100000 [9:19:57<10:54:18, 1.38step/s] Training: 46%|████▌ | 45911/100000 [9:19:58<11:12:03, 1.34step/s] Training: 46%|████▌ | 45912/100000 [9:19:59<10:38:58, 1.41step/s] Training: 46%|████▌ | 45913/100000 [9:19:59<10:42:14, 1.40step/s] Training: 46%|████▌ | 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45959/100000 [9:20:33<10:58:32, 1.37step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=73575 Training: 46%|████▌ | 45960/100000 [9:20:33<10:34:01, 1.42step/s] Training: 46%|████▌ | 45961/100000 [9:20:34<10:55:46, 1.37step/s] Training: 46%|████▌ | 45962/100000 [9:20:35<10:50:41, 1.38step/s] Training: 46%|████▌ | 45963/100000 [9:20:36<10:27:42, 1.43step/s] Training: 46%|████▌ | 45964/100000 [9:20:36<10:45:27, 1.40step/s] Training: 46%|████▌ | 45965/100000 [9:20:37<10:46:12, 1.39step/s] Training: 46%|████▌ | 45966/100000 [9:20:38<11:01:17, 1.36step/s] Training: 46%|████▌ | 45967/100000 [9:20:39<11:03:39, 1.36step/s] Training: 46%|████▌ | 45968/100000 [9:20:39<10:28:58, 1.43step/s] Training: 46%|████▌ | 45969/100000 [9:20:40<10:42:10, 1.40step/s] Training: 46%|████▌ | 45970/100000 [9:20:41<10:58:22, 1.37step/s] Training: 46%|████▌ | 45971/100000 [9:20:41<10:34:27, 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1.37step/s] Training: 46%|████▌ | 45987/100000 [9:20:53<10:30:24, 1.43step/s] Training: 46%|████▌ | 45988/100000 [9:20:54<10:32:24, 1.42step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=3288 Training: 46%|████▌ | 45989/100000 [9:20:55<10:51:59, 1.38step/s] Training: 46%|████▌ | 45990/100000 [9:20:55<10:57:19, 1.37step/s] Training: 46%|████▌ | 45991/100000 [9:20:56<10:58:56, 1.37step/s] Training: 46%|████▌ | 45992/100000 [9:20:57<10:34:42, 1.42step/s] Training: 46%|████▌ | 45993/100000 [9:20:57<10:44:45, 1.40step/s] Training: 46%|████▌ | 45994/100000 [9:20:58<11:01:22, 1.36step/s] Training: 46%|████▌ | 45995/100000 [9:20:59<10:27:46, 1.43step/s] Training: 46%|████▌ | 45996/100000 [9:21:00<10:42:07, 1.40step/s] Training: 46%|████▌ | 45997/100000 [9:21:00<11:09:58, 1.34step/s] Training: 46%|████▌ | 45998/100000 [9:21:01<10:41:36, 1.40step/s] Training: 46%|████▌ | 45999/100000 [9:21:02<10:56:34, 1.37step/s] Training: 46%|████▌ | 46000/100000 [9:21:02<10:32:06, 1.42step/s]INFO 2026-03-12 12:43:18 ot_train.py:435 step:46K smpl:3M ep:10K epch:38.99 loss:0.073 grdn:6.481 lr:1.2e-05 updt_s:0.711 data_s:0.012 Training: 46%|████▌ | 46001/100000 [9:21:03<10:49:30, 1.39step/s] Training: 46%|████▌ | 46002/100000 [9:21:04<11:03:32, 1.36step/s] Training: 46%|████▌ | 46003/100000 [9:21:05<10:33:59, 1.42step/s] Training: 46%|████▌ | 46004/100000 [9:21:05<10:35:10, 1.42step/s] Training: 46%|████▌ | 46005/100000 [9:21:06<10:23:16, 1.44step/s] Training: 46%|████▌ | 46006/100000 [9:21:07<9:56:14, 1.51step/s] Training: 46%|████▌ | 46007/100000 [9:21:07<10:14:16, 1.46step/s] Training: 46%|████▌ | 46008/100000 [9:21:08<9:50:39, 1.52step/s] Training: 46%|████▌ | 46009/100000 [9:21:09<9:50:11, 1.52step/s] Training: 46%|████▌ | 46010/100000 [9:21:09<10:15:02, 1.46step/s] Training: 46%|████▌ | 46011/100000 [9:21:10<9:49:56, 1.53step/s] Training: 46%|████▌ | 46012/100000 [9:21:11<10:08:10, 1.48step/s] Training: 46%|████▌ | 46013/100000 [9:21:11<10:16:59, 1.46step/s] Training: 46%|████▌ | 46014/100000 [9:21:12<9:51:49, 1.52step/s] Training: 46%|████▌ | 46015/100000 [9:21:13<9:50:43, 1.52step/s] Training: 46%|████▌ | 46016/100000 [9:21:13<9:34:00, 1.57step/s] Training: 46%|████▌ | 46017/100000 [9:21:14<9:35:17, 1.56step/s] Training: 46%|████▌ | 46018/100000 [9:21:14<9:40:41, 1.55step/s] Training: 46%|████▌ | 46019/100000 [9:21:15<9:58:46, 1.50step/s] Training: 46%|████▌ | 46020/100000 [9:21:17<16:25:11, 1.10s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 46%|████▌ | 46021/100000 [9:21:21<30:08:42, 2.01s/step] Training: 46%|████▌ | 46022/100000 [9:21:22<24:03:36, 1.60s/step] Training: 46%|████▌ | 46023/100000 [9:21:23<20:11:47, 1.35s/step] Training: 46%|████▌ | 46024/100000 [9:21:24<17:43:49, 1.18s/step] Training: 46%|████▌ | 46025/100000 [9:21:24<16:06:37, 1.07s/step] Training: 46%|████▌ | 46026/100000 [9:21:25<14:40:40, 1.02step/s] Training: 46%|████▌ | 46027/100000 [9:21:26<14:18:19, 1.05step/s] Training: 46%|████▌ | 46028/100000 [9:21:27<13:47:54, 1.09step/s] Training: 46%|████▌ | 46029/100000 [9:21:28<13:10:11, 1.14step/s] Training: 46%|████▌ | 46030/100000 [9:21:28<12:06:29, 1.24step/s] Training: 46%|████▌ | 46031/100000 [9:21:29<11:58:46, 1.25step/s] Training: 46%|████▌ | 46032/100000 [9:21:30<11:36:42, 1.29step/s] Training: 46%|████▌ | 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1.31step/s]INFO 2026-03-12 12:50:40 ot_train.py:435 step:47K smpl:3M ep:10K epch:39.50 loss:0.070 grdn:5.429 lr:1.2e-05 updt_s:0.717 data_s:0.012 Training: 47%|████▋ | 46601/100000 [9:28:24<11:22:15, 1.30step/s] Training: 47%|████▋ | 46602/100000 [9:28:25<11:11:24, 1.33step/s] Training: 47%|████▋ | 46603/100000 [9:28:26<10:59:06, 1.35step/s] Training: 47%|████▋ | 46604/100000 [9:28:27<11:05:09, 1.34step/s] Training: 47%|████▋ | 46605/100000 [9:28:27<11:08:01, 1.33step/s] Training: 47%|████▋ | 46606/100000 [9:28:28<10:34:14, 1.40step/s] Training: 47%|████▋ | 46607/100000 [9:28:29<10:43:30, 1.38step/s] Training: 47%|████▋ | 46608/100000 [9:28:29<10:39:45, 1.39step/s] Training: 47%|████▋ | 46609/100000 [9:28:30<10:52:04, 1.36step/s] Training: 47%|████▋ | 46610/100000 [9:28:31<10:23:29, 1.43step/s] Training: 47%|████▋ | 46611/100000 [9:28:32<10:55:27, 1.36step/s] Training: 47%|████▋ | 46612/100000 [9:28:32<10:56:42, 1.35step/s] Training: 47%|████▋ | 46613/100000 [9:28:33<11:02:04, 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Training: 47%|████▋ | 46993/100000 [9:33:06<10:09:07, 1.45step/s] Training: 47%|████▋ | 46994/100000 [9:33:06<10:23:53, 1.42step/s] Training: 47%|████▋ | 46995/100000 [9:33:07<10:38:57, 1.38step/s] Training: 47%|████▋ | 46996/100000 [9:33:08<10:54:17, 1.35step/s] Training: 47%|████▋ | 46997/100000 [9:33:09<10:25:45, 1.41step/s] Training: 47%|████▋ | 46998/100000 [9:33:09<10:45:59, 1.37step/s] Training: 47%|████▋ | 46999/100000 [9:33:10<10:57:58, 1.34step/s] Training: 47%|████▋ | 47000/100000 [9:33:11<11:00:49, 1.34step/s]INFO 2026-03-12 12:55:27 ot_train.py:435 step:47K smpl:3M ep:10K epch:39.84 loss:0.072 grdn:6.185 lr:1.1e-05 updt_s:0.701 data_s:0.012 Training: 47%|████▋ | 47001/100000 [9:33:12<10:28:17, 1.41step/s] Training: 47%|████▋ | 47002/100000 [9:33:12<10:28:47, 1.40step/s] Training: 47%|████▋ | 47003/100000 [9:33:13<10:48:29, 1.36step/s] Training: 47%|████▋ | 47004/100000 [9:33:14<10:42:00, 1.38step/s] Training: 47%|████▋ | 47005/100000 [9:33:14<10:15:15, 1.44step/s] Training: 47%|████▋ | 47006/100000 [9:33:15<10:44:07, 1.37step/s] Training: 47%|████▋ | 47007/100000 [9:33:16<10:21:34, 1.42step/s] Training: 47%|████▋ | 47008/100000 [9:33:17<10:43:29, 1.37step/s] Training: 47%|████▋ | 47009/100000 [9:33:17<10:21:54, 1.42step/s] Training: 47%|████▋ | 47010/100000 [9:33:18<10:40:10, 1.38step/s] Training: 47%|████▋ | 47011/100000 [9:33:19<10:38:02, 1.38step/s] Training: 47%|████▋ | 47012/100000 [9:33:20<10:46:36, 1.37step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=56758 Training: 47%|████▋ | 47013/100000 [9:33:20<10:25:17, 1.41step/s] Training: 47%|████▋ | 47014/100000 [9:33:21<10:41:18, 1.38step/s] Training: 47%|████▋ | 47015/100000 [9:33:22<10:56:14, 1.35step/s] Training: 47%|████▋ | 47016/100000 [9:33:22<11:04:19, 1.33step/s] Training: 47%|████▋ | 47017/100000 [9:33:23<10:34:19, 1.39step/s] Training: 47%|████▋ | 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[9:35:08<10:06:00, 1.45step/s] Training: 47%|████▋ | 47165/100000 [9:35:09<9:52:04, 1.49step/s] Training: 47%|████▋ | 47166/100000 [9:35:10<10:17:29, 1.43step/s] Training: 47%|████▋ | 47167/100000 [9:35:11<10:32:38, 1.39step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=35947 Training: 47%|████▋ | 47168/100000 [9:35:11<10:46:14, 1.36step/s] Training: 47%|████▋ | 47169/100000 [9:35:12<10:18:56, 1.42step/s] Training: 47%|████▋ | 47170/100000 [9:35:13<10:35:35, 1.39step/s] Training: 47%|████▋ | 47171/100000 [9:35:13<10:47:39, 1.36step/s] Training: 47%|████▋ | 47172/100000 [9:35:14<10:45:41, 1.36step/s] Training: 47%|████▋ | 47173/100000 [9:35:15<10:18:06, 1.42step/s] Training: 47%|████▋ | 47174/100000 [9:35:16<10:34:14, 1.39step/s] Training: 47%|████▋ | 47175/100000 [9:35:16<10:43:18, 1.37step/s] Training: 47%|████▋ | 47176/100000 [9:35:17<10:49:34, 1.36step/s] 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47%|████▋ | 47192/100000 [9:35:28<10:25:53, 1.41step/s] Training: 47%|████▋ | 47193/100000 [9:35:29<10:02:02, 1.46step/s] Training: 47%|████▋ | 47194/100000 [9:35:30<10:02:50, 1.46step/s] Training: 47%|████▋ | 47195/100000 [9:35:30<10:15:29, 1.43step/s] Training: 47%|████▋ | 47196/100000 [9:35:31<10:21:21, 1.42step/s] Training: 47%|████▋ | 47197/100000 [9:35:32<9:53:58, 1.48step/s] Training: 47%|████▋ | 47198/100000 [9:35:32<10:05:53, 1.45step/s] Training: 47%|████▋ | 47199/100000 [9:35:33<10:10:31, 1.44step/s] Training: 47%|████▋ | 47200/100000 [9:35:35<16:36:16, 1.13s/step]INFO 2026-03-12 12:57:51 ot_train.py:435 step:47K smpl:3M ep:10K epch:40.01 loss:0.067 grdn:5.746 lr:1.1e-05 updt_s:0.696 data_s:0.027 huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 47%|████▋ | 47201/100000 [9:35:39<28:59:06, 1.98s/step] Training: 47%|████▋ | 47202/100000 [9:35:40<23:06:19, 1.58s/step] Training: 47%|████▋ | 47203/100000 [9:35:41<19:46:16, 1.35s/step] Training: 47%|████▋ | 47204/100000 [9:35:42<17:11:50, 1.17s/step] Training: 47%|████▋ | 47205/100000 [9:35:42<15:00:22, 1.02s/step] Training: 47%|████▋ | 47206/100000 [9:35:43<13:50:30, 1.06step/s] Training: 47%|████▋ | 47207/100000 [9:35:44<12:57:43, 1.13step/s] Training: 47%|████▋ | 47208/100000 [9:35:44<12:31:39, 1.17step/s] Training: 47%|████▋ | 47209/100000 [9:35:45<11:32:42, 1.27step/s] Training: 47%|████▋ | 47210/100000 [9:35:46<10:50:28, 1.35step/s] Training: 47%|████▋ | 47211/100000 [9:35:46<10:58:33, 1.34step/s] Training: 47%|████▋ | 47212/100000 [9:35:47<11:07:53, 1.32step/s] Training: 47%|████▋ | 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[9:38:15<10:22:48, 1.41step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=56924 Training: 47%|████▋ | 47420/100000 [9:38:16<10:26:53, 1.40step/s] Training: 47%|████▋ | 47421/100000 [9:38:17<10:03:29, 1.45step/s] Training: 47%|████▋ | 47422/100000 [9:38:17<10:32:37, 1.39step/s] Training: 47%|████▋ | 47423/100000 [9:38:18<10:33:07, 1.38step/s] Training: 47%|████▋ | 47424/100000 [9:38:19<10:41:56, 1.37step/s] Training: 47%|████▋ | 47425/100000 [9:38:20<10:58:33, 1.33step/s] Training: 47%|████▋ | 47426/100000 [9:38:20<10:20:17, 1.41step/s] Training: 47%|████▋ | 47427/100000 [9:38:21<10:18:45, 1.42step/s] Training: 47%|████▋ | 47428/100000 [9:38:22<10:12:31, 1.43step/s] Training: 47%|████▋ | 47429/100000 [9:38:22<10:20:14, 1.41step/s] Training: 47%|████▋ | 47430/100000 [9:38:23<10:20:48, 1.41step/s] Training: 47%|████▋ | 47431/100000 [9:38:24<10:29:14, 1.39step/s] 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[9:39:08<9:59:55, 1.46step/s] Training: 47%|████▋ | 47493/100000 [9:39:08<9:39:05, 1.51step/s] Training: 47%|████▋ | 47494/100000 [9:39:09<9:50:58, 1.48step/s] Training: 47%|████▋ | 47495/100000 [9:39:10<10:13:56, 1.43step/s] Training: 47%|████▋ | 47496/100000 [9:39:11<10:28:26, 1.39step/s] Training: 47%|████▋ | 47497/100000 [9:39:11<10:35:21, 1.38step/s] Training: 47%|████▋ | 47498/100000 [9:39:12<10:04:01, 1.45step/s] Training: 47%|████▋ | 47499/100000 [9:39:13<10:15:55, 1.42step/s] Training: 48%|████▊ | 47500/100000 [9:39:13<10:34:41, 1.38step/s]INFO 2026-03-12 13:01:29 ot_train.py:435 step:48K smpl:3M ep:10K epch:40.26 loss:0.071 grdn:6.065 lr:1.1e-05 updt_s:0.704 data_s:0.012 Training: 48%|████▊ | 47501/100000 [9:39:14<10:07:12, 1.44step/s] Training: 48%|████▊ | 47502/100000 [9:39:15<10:13:57, 1.43step/s] Training: 48%|████▊ | 47503/100000 [9:39:16<10:23:30, 1.40step/s] Training: 48%|████▊ | 47504/100000 [9:39:16<10:38:10, 1.37step/s] Training: 48%|████▊ | 47505/100000 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[9:40:11<10:32:01, 1.38step/s] Training: 48%|████▊ | 47581/100000 [9:40:11<10:41:27, 1.36step/s] Training: 48%|████▊ | 47582/100000 [9:40:12<10:50:22, 1.34step/s] Training: 48%|████▊ | 47583/100000 [9:40:13<10:36:22, 1.37step/s] Training: 48%|████▊ | 47584/100000 [9:40:14<10:52:45, 1.34step/s] Training: 48%|████▊ | 47585/100000 [9:40:14<10:23:22, 1.40step/s] Training: 48%|████▊ | 47586/100000 [9:40:15<10:02:14, 1.45step/s] Training: 48%|████▊ | 47587/100000 [9:40:16<10:08:32, 1.44step/s] Training: 48%|████▊ | 47588/100000 [9:40:16<10:17:38, 1.41step/s] Training: 48%|████▊ | 47589/100000 [9:40:17<10:24:43, 1.40step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=23848 Training: 48%|████▊ | 47590/100000 [9:40:18<10:40:33, 1.36step/s] Training: 48%|████▊ | 47591/100000 [9:40:19<10:50:47, 1.34step/s] Training: 48%|████▊ | 47592/100000 [9:40:19<10:59:18, 1.32step/s] Training: 48%|████▊ | 47593/100000 [9:40:20<10:24:52, 1.40step/s] Training: 48%|████▊ | 47594/100000 [9:40:21<10:01:35, 1.45step/s] Training: 48%|████▊ | 47595/100000 [9:40:21<10:06:11, 1.44step/s] Training: 48%|████▊ | 47596/100000 [9:40:22<10:21:26, 1.41step/s] Training: 48%|████▊ | 47597/100000 [9:40:23<10:22:44, 1.40step/s] Training: 48%|████▊ | 47598/100000 [9:40:24<10:35:27, 1.37step/s] Training: 48%|████▊ | 47599/100000 [9:40:24<10:40:23, 1.36step/s] Training: 48%|████▊ | 47600/100000 [9:40:25<10:51:23, 1.34step/s]INFO 2026-03-12 13:02:41 ot_train.py:435 step:48K smpl:3M ep:10K epch:40.35 loss:0.076 grdn:5.241 lr:1.1e-05 updt_s:0.702 data_s:0.012 Training: 48%|████▊ | 47601/100000 [9:40:26<10:19:16, 1.41step/s] Training: 48%|████▊ | 47602/100000 [9:40:26<9:57:19, 1.46step/s] Training: 48%|████▊ | 47603/100000 [9:40:27<10:20:21, 1.41step/s] Training: 48%|████▊ | 47604/100000 [9:40:28<10:27:45, 1.39step/s] Training: 48%|████▊ | 47605/100000 [9:40:29<10:32:12, 1.38step/s] Training: 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[9:43:55<10:45:34, 1.35step/s] Training: 48%|████▊ | 47895/100000 [9:43:56<10:53:05, 1.33step/s] Training: 48%|████▊ | 47896/100000 [9:43:57<11:02:12, 1.31step/s] Training: 48%|████▊ | 47897/100000 [9:43:58<10:40:26, 1.36step/s] Training: 48%|████▊ | 47898/100000 [9:43:58<10:11:19, 1.42step/s] Training: 48%|████▊ | 47899/100000 [9:43:59<9:51:51, 1.47step/s] Training: 48%|████▊ | 47900/100000 [9:44:00<10:08:23, 1.43step/s]INFO 2026-03-12 13:06:16 ot_train.py:435 step:48K smpl:3M ep:10K epch:40.60 loss:0.069 grdn:5.268 lr:1.1e-05 updt_s:0.697 data_s:0.012 Training: 48%|████▊ | 47901/100000 [9:44:00<10:14:29, 1.41step/s] Training: 48%|████▊ | 47902/100000 [9:44:01<9:48:53, 1.47step/s] Training: 48%|████▊ | 47903/100000 [9:44:02<10:20:35, 1.40step/s] Training: 48%|████▊ | 47904/100000 [9:44:03<10:16:44, 1.41step/s] Training: 48%|████▊ | 47905/100000 [9:44:03<10:13:59, 1.41step/s] Training: 48%|████▊ | 47906/100000 [9:44:04<9:52:03, 1.47step/s] [Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=56924 Training: 48%|████▊ | 47907/100000 [9:44:05<9:37:22, 1.50step/s] Training: 48%|████▊ | 47908/100000 [9:44:05<9:47:31, 1.48step/s] Training: 48%|████▊ | 47909/100000 [9:44:06<10:12:38, 1.42step/s] Training: 48%|████▊ | 47910/100000 [9:44:07<9:46:40, 1.48step/s] Training: 48%|████▊ | 47911/100000 [9:44:07<10:12:39, 1.42step/s] Training: 48%|████▊ | 47912/100000 [9:44:08<10:09:06, 1.43step/s] Training: 48%|████▊ | 47913/100000 [9:44:09<10:17:45, 1.41step/s] Training: 48%|████▊ | 47914/100000 [9:44:09<9:54:55, 1.46step/s] Training: 48%|████▊ | 47915/100000 [9:44:10<9:43:34, 1.49step/s] Training: 48%|████▊ | 47916/100000 [9:44:11<10:06:48, 1.43step/s] Training: 48%|████▊ | 47917/100000 [9:44:12<10:28:46, 1.38step/s] Training: 48%|████▊ | 47918/100000 [9:44:12<10:02:50, 1.44step/s] Training: 48%|████▊ | 47919/100000 [9:44:13<10:23:25, 1.39step/s] 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violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=56924 Training: 48%|████▊ | 47964/100000 [9:44:45<10:09:36, 1.42step/s] Training: 48%|████▊ | 47965/100000 [9:44:46<10:20:23, 1.40step/s] Training: 48%|████▊ | 47966/100000 [9:44:46<10:01:58, 1.44step/s] Training: 48%|████▊ | 47967/100000 [9:44:47<10:10:47, 1.42step/s] Training: 48%|████▊ | 47968/100000 [9:44:48<10:29:46, 1.38step/s] Training: 48%|████▊ | 47969/100000 [9:44:49<10:40:54, 1.35step/s] Training: 48%|████▊ | 47970/100000 [9:44:49<10:11:58, 1.42step/s] Training: 48%|████▊ | 47971/100000 [9:44:50<9:51:10, 1.47step/s] Training: 48%|████▊ | 47972/100000 [9:44:51<10:10:55, 1.42step/s] Training: 48%|████▊ | 47973/100000 [9:44:51<10:29:23, 1.38step/s] Training: 48%|████▊ | 47974/100000 [9:44:52<10:04:23, 1.43step/s] Training: 48%|████▊ | 47975/100000 [9:44:53<10:24:01, 1.39step/s] Training: 48%|████▊ | 47976/100000 [9:44:53<10:17:52, 1.40step/s] Training: 48%|████▊ | 47977/100000 [9:44:54<10:32:52, 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FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=56924 Training: 48%|████▊ | 48347/100000 [9:49:17<10:10:11, 1.41step/s] Training: 48%|████▊ | 48348/100000 [9:49:17<10:21:02, 1.39step/s] Training: 48%|████▊ | 48349/100000 [9:49:18<10:24:59, 1.38step/s] Training: 48%|████▊ | 48350/100000 [9:49:19<10:31:57, 1.36step/s] Training: 48%|████▊ | 48351/100000 [9:49:20<9:58:52, 1.44step/s] Training: 48%|████▊ | 48352/100000 [9:49:20<10:23:54, 1.38step/s] Training: 48%|████▊ | 48353/100000 [9:49:21<10:30:41, 1.36step/s] Training: 48%|████▊ | 48354/100000 [9:49:22<10:05:35, 1.42step/s] Training: 48%|████▊ | 48355/100000 [9:49:23<10:34:29, 1.36step/s] Training: 48%|████▊ | 48356/100000 [9:49:23<10:42:19, 1.34step/s] Training: 48%|████▊ | 48357/100000 [9:49:24<11:00:14, 1.30step/s] Training: 48%|████▊ | 48358/100000 [9:49:25<10:59:24, 1.31step/s] Training: 48%|████▊ | 48359/100000 [9:49:26<10:25:51, 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Training: 48%|████▊ | 48375/100000 [9:49:37<9:21:52, 1.53step/s] Training: 48%|████▊ | 48376/100000 [9:49:37<9:22:37, 1.53step/s] Training: 48%|████▊ | 48377/100000 [9:49:38<9:36:12, 1.49step/s] Training: 48%|████▊ | 48378/100000 [9:49:39<9:24:04, 1.53step/s] Training: 48%|████▊ | 48379/100000 [9:49:39<9:18:09, 1.54step/s] Training: 48%|████▊ | 48380/100000 [9:49:41<15:25:30, 1.08s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 48%|████▊ | 48381/100000 [9:49:45<28:34:04, 1.99s/step] Training: 48%|████▊ | 48382/100000 [9:49:46<22:45:03, 1.59s/step] Training: 48%|████▊ | 48383/100000 [9:49:47<19:33:57, 1.36s/step] Training: 48%|████▊ | 48384/100000 [9:49:48<17:06:19, 1.19s/step] Training: 48%|████▊ | 48385/100000 [9:49:48<15:37:57, 1.09s/step] Training: 48%|████▊ | 48386/100000 [9:49:49<13:32:36, 1.06step/s] Training: 48%|████▊ | 48387/100000 [9:49:50<12:10:17, 1.18step/s] Training: 48%|████▊ | 48388/100000 [9:49:51<11:55:10, 1.20step/s] Training: 48%|████▊ | 48389/100000 [9:49:51<11:37:36, 1.23step/s] Training: 48%|████▊ | 48390/100000 [9:49:52<10:51:18, 1.32step/s] Training: 48%|████▊ | 48391/100000 [9:49:53<10:52:50, 1.32step/s] Training: 48%|████▊ | 48392/100000 [9:49:53<10:55:42, 1.31step/s] Training: 48%|████▊ | 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1.48step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=31717 Training: 49%|████▉ | 48831/100000 [9:55:07<9:52:15, 1.44step/s] Training: 49%|████▉ | 48832/100000 [9:55:07<10:06:19, 1.41step/s] Training: 49%|████▉ | 48833/100000 [9:55:08<10:33:04, 1.35step/s] Training: 49%|████▉ | 48834/100000 [9:55:09<10:02:40, 1.41step/s] Training: 49%|████▉ | 48835/100000 [9:55:10<9:41:44, 1.47step/s] Training: 49%|████▉ | 48836/100000 [9:55:10<9:48:31, 1.45step/s] Training: 49%|████▉ | 48837/100000 [9:55:11<10:06:32, 1.41step/s] Training: 49%|████▉ | 48838/100000 [9:55:12<9:48:18, 1.45step/s] Training: 49%|████▉ | 48839/100000 [9:55:12<9:56:13, 1.43step/s] Training: 49%|████▉ | 48840/100000 [9:55:13<10:12:58, 1.39step/s] Training: 49%|████▉ | 48841/100000 [9:55:14<10:27:32, 1.36step/s] Training: 49%|████▉ | 48842/100000 [9:55:15<9:58:23, 1.42step/s] Training: 49%|████▉ | 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Training: 49%|████▉ | 49326/100000 [10:01:02<9:41:07, 1.45step/s] Training: 49%|████▉ | 49327/100000 [10:01:03<9:58:36, 1.41step/s] Training: 49%|████▉ | 49328/100000 [10:01:03<9:38:20, 1.46step/s] Training: 49%|████▉ | 49329/100000 [10:01:04<9:59:26, 1.41step/s] Training: 49%|████▉ | 49330/100000 [10:01:05<10:16:24, 1.37step/s] Training: 49%|████▉ | 49331/100000 [10:01:05<9:53:03, 1.42step/s] Training: 49%|████▉ | 49332/100000 [10:01:06<10:02:44, 1.40step/s] Training: 49%|████▉ | 49333/100000 [10:01:07<10:17:34, 1.37step/s] Training: 49%|████▉ | 49334/100000 [10:01:07<9:53:16, 1.42step/s] Training: 49%|████▉ | 49335/100000 [10:01:08<10:04:22, 1.40step/s] Training: 49%|████▉ | 49336/100000 [10:01:09<10:18:43, 1.36step/s] Training: 49%|████▉ | 49337/100000 [10:01:10<10:22:38, 1.36step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=59858 Training: 49%|████▉ | 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[10:02:33<10:19:08, 1.36step/s] Training: 49%|████▉ | 49454/100000 [10:02:33<9:53:26, 1.42step/s] Training: 49%|████▉ | 49455/100000 [10:02:34<9:33:21, 1.47step/s] Training: 49%|████▉ | 49456/100000 [10:02:35<9:38:59, 1.45step/s] Training: 49%|████▉ | 49457/100000 [10:02:35<9:58:17, 1.41step/s] Training: 49%|████▉ | 49458/100000 [10:02:36<10:14:51, 1.37step/s] Training: 49%|████▉ | 49459/100000 [10:02:37<9:52:56, 1.42step/s] Training: 49%|████▉ | 49460/100000 [10:02:38<10:04:38, 1.39step/s] Training: 49%|████▉ | 49461/100000 [10:02:38<10:05:51, 1.39step/s] Training: 49%|████▉ | 49462/100000 [10:02:39<9:43:46, 1.44step/s] Training: 49%|████▉ | 49463/100000 [10:02:40<9:30:49, 1.48step/s] Training: 49%|████▉ | 49464/100000 [10:02:40<9:44:35, 1.44step/s] Training: 49%|████▉ | 49465/100000 [10:02:41<10:08:01, 1.39step/s] Training: 49%|████▉ | 49466/100000 [10:02:42<10:25:34, 1.35step/s] Training: 49%|████▉ | 49467/100000 [10:02:43<10:47:36, 1.30step/s] Training: 49%|████▉ | 49468/100000 [10:02:43<10:35:48, 1.32step/s] Training: 49%|████▉ | 49469/100000 [10:02:44<10:31:30, 1.33step/s] Training: 49%|████▉ | 49470/100000 [10:02:45<10:02:17, 1.40step/s] Training: 49%|████▉ | 49471/100000 [10:02:45<9:41:11, 1.45step/s] Training: 49%|████▉ | 49472/100000 [10:02:46<9:28:06, 1.48step/s] Training: 49%|████▉ | 49473/100000 [10:02:47<10:24:23, 1.35step/s] Training: 49%|████▉ | 49474/100000 [10:02:48<10:28:56, 1.34step/s] Training: 49%|████▉ | 49475/100000 [10:02:49<10:49:30, 1.30step/s] Training: 49%|████▉ | 49476/100000 [10:02:49<10:34:27, 1.33step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=58431 Training: 49%|████▉ | 49477/100000 [10:02:50<10:38:54, 1.32step/s] Training: 49%|████▉ | 49478/100000 [10:02:51<10:08:26, 1.38step/s] Training: 49%|████▉ | 49479/100000 [10:02:51<9:41:15, 1.45step/s] Training: 49%|████▉ | 49480/100000 [10:02:52<9:36:53, 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1.44step/s] Training: 50%|████▉ | 49554/100000 [10:03:45<9:53:43, 1.42step/s] Training: 50%|████▉ | 49555/100000 [10:03:45<9:39:09, 1.45step/s] Training: 50%|████▉ | 49556/100000 [10:03:46<9:43:08, 1.44step/s] Training: 50%|████▉ | 49557/100000 [10:03:47<9:58:37, 1.40step/s] Training: 50%|████▉ | 49558/100000 [10:03:47<9:28:18, 1.48step/s] Training: 50%|████▉ | 49559/100000 [10:03:48<9:06:23, 1.54step/s] Training: 50%|████▉ | 49560/100000 [10:03:50<15:17:43, 1.09s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 50%|████▉ | 49561/100000 [10:03:54<27:45:59, 1.98s/step] Training: 50%|████▉ | 49562/100000 [10:03:55<22:59:29, 1.64s/step] Training: 50%|████▉ | 49563/100000 [10:03:56<19:29:44, 1.39s/step] Training: 50%|████▉ | 49564/100000 [10:03:57<16:58:30, 1.21s/step] Training: 50%|████▉ | 49565/100000 [10:03:57<15:10:25, 1.08s/step] Training: 50%|████▉ | 49566/100000 [10:03:58<14:03:19, 1.00s/step] Training: 50%|████▉ | 49567/100000 [10:03:59<12:27:27, 1.12step/s] Training: 50%|████▉ | 49568/100000 [10:04:00<12:11:39, 1.15step/s] Training: 50%|████▉ | 49569/100000 [10:04:00<11:49:37, 1.18step/s] Training: 50%|████▉ | 49570/100000 [10:04:01<11:19:00, 1.24step/s] Training: 50%|████▉ | 49571/100000 [10:04:02<10:55:44, 1.28step/s] Training: 50%|████▉ | 49572/100000 [10:04:03<10:40:07, 1.31step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=46632 Training: 50%|████▉ | 49573/100000 [10:04:03<10:40:12, 1.31step/s] Training: 50%|████▉ | 49574/100000 [10:04:04<10:45:08, 1.30step/s] Training: 50%|████▉ | 49575/100000 [10:04:05<10:09:14, 1.38step/s] Training: 50%|████▉ | 49576/100000 [10:04:06<10:26:37, 1.34step/s] Training: 50%|████▉ | 49577/100000 [10:04:06<10:41:35, 1.31step/s] Training: 50%|████▉ | 49578/100000 [10:04:07<10:51:38, 1.29step/s] Training: 50%|████▉ | 49579/100000 [10:04:08<10:35:19, 1.32step/s] Training: 50%|████▉ | 49580/100000 [10:04:09<10:39:06, 1.31step/s] Training: 50%|████▉ | 49581/100000 [10:04:09<10:38:12, 1.32step/s] Training: 50%|████▉ | 49582/100000 [10:04:10<10:42:27, 1.31step/s] Training: 50%|████▉ | 49583/100000 [10:04:11<10:07:04, 1.38step/s] Training: 50%|████▉ | 49584/100000 [10:04:12<10:19:00, 1.36step/s] Training: 50%|████▉ | 49585/100000 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1.35step/s] Training: 50%|█████ | 50046/100000 [10:10:53<9:51:09, 1.41step/s] Training: 50%|█████ | 50047/100000 [10:10:54<9:33:12, 1.45step/s] Training: 50%|█████ | 50048/100000 [10:10:54<9:17:07, 1.49step/s] Training: 50%|█████ | 50049/100000 [10:10:55<9:27:13, 1.47step/s] Training: 50%|█████ | 50050/100000 [10:10:56<9:47:41, 1.42step/s] Training: 50%|█████ | 50051/100000 [10:10:57<10:14:56, 1.35step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=25481 Training: 50%|█████ | 50052/100000 [10:10:57<10:12:53, 1.36step/s] Training: 50%|█████ | 50053/100000 [10:10:58<9:41:37, 1.43step/s] Training: 50%|█████ | 50054/100000 [10:10:59<9:58:23, 1.39step/s] Training: 50%|█████ | 50055/100000 [10:10:59<9:32:01, 1.46step/s] Training: 50%|█████ | 50056/100000 [10:11:00<9:16:26, 1.50step/s] Training: 50%|█████ | 50057/100000 [10:11:01<9:38:17, 1.44step/s] Training: 50%|█████ 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[10:11:31<10:17:38, 1.35step/s]INFO 2026-03-12 13:33:47 ot_train.py:435 step:50K smpl:3M ep:11K epch:42.46 loss:0.065 grdn:5.518 lr:1.0e-05 updt_s:0.701 data_s:0.013 Training: 50%|█████ | 50101/100000 [10:11:32<10:20:39, 1.34step/s] Training: 50%|█████ | 50102/100000 [10:11:33<9:53:15, 1.40step/s] Training: 50%|█████ | 50103/100000 [10:11:33<9:34:35, 1.45step/s] Training: 50%|█████ | 50104/100000 [10:11:34<9:16:40, 1.49step/s] Training: 50%|█████ | 50105/100000 [10:11:35<9:41:20, 1.43step/s] Training: 50%|█████ | 50106/100000 [10:11:36<10:00:33, 1.38step/s] Training: 50%|█████ | 50107/100000 [10:11:36<10:01:48, 1.38step/s] Training: 50%|█████ | 50108/100000 [10:11:37<10:09:34, 1.36step/s] Training: 50%|█████ | 50109/100000 [10:11:38<10:35:00, 1.31step/s] Training: 50%|█████ | 50110/100000 [10:11:39<10:02:34, 1.38step/s] Training: 50%|█████ | 50111/100000 [10:11:39<9:35:36, 1.44step/s] Training: 50%|█████ | 50112/100000 [10:11:40<9:22:23, 1.48step/s] Training: 50%|█████ | 50113/100000 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[10:12:02<10:02:00, 1.38step/s] Training: 50%|█████ | 50144/100000 [10:12:03<9:37:05, 1.44step/s] Training: 50%|█████ | 50145/100000 [10:12:04<9:40:24, 1.43step/s] Training: 50%|█████ | 50146/100000 [10:12:04<10:01:49, 1.38step/s] Training: 50%|█████ | 50147/100000 [10:12:05<10:07:22, 1.37step/s] Training: 50%|█████ | 50148/100000 [10:12:06<10:11:33, 1.36step/s] Training: 50%|█████ | 50149/100000 [10:12:07<10:01:49, 1.38step/s] Training: 50%|█████ | 50150/100000 [10:12:07<10:18:49, 1.34step/s] Training: 50%|█████ | 50151/100000 [10:12:08<9:47:27, 1.41step/s] Training: 50%|█████ | 50152/100000 [10:12:09<9:22:14, 1.48step/s] Training: 50%|█████ | 50153/100000 [10:12:09<9:30:21, 1.46step/s] Training: 50%|█████ | 50154/100000 [10:12:10<9:55:40, 1.39step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=17064 Training: 50%|█████ | 50155/100000 [10:12:11<10:07:20, 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1.36step/s]INFO 2026-03-12 13:34:59 ot_train.py:435 step:50K smpl:3M ep:11K epch:42.55 loss:0.065 grdn:5.052 lr:1.0e-05 updt_s:0.706 data_s:0.013 Training: 50%|█████ | 50201/100000 [10:12:44<10:21:10, 1.34step/s] Training: 50%|█████ | 50202/100000 [10:12:45<10:27:38, 1.32step/s] Training: 50%|█████ | 50203/100000 [10:12:46<10:24:54, 1.33step/s] Training: 50%|█████ | 50204/100000 [10:12:47<10:23:24, 1.33step/s] Training: 50%|█████ | 50205/100000 [10:12:47<10:32:19, 1.31step/s] Training: 50%|█████ | 50206/100000 [10:12:48<9:59:37, 1.38step/s] Training: 50%|█████ | 50207/100000 [10:12:49<9:37:03, 1.44step/s] Training: 50%|█████ | 50208/100000 [10:12:49<10:02:01, 1.38step/s] Training: 50%|█████ | 50209/100000 [10:12:50<9:56:37, 1.39step/s] Training: 50%|█████ | 50210/100000 [10:12:51<10:10:31, 1.36step/s] Training: 50%|█████ | 50211/100000 [10:12:52<10:15:41, 1.35step/s] Training: 50%|█████ | 50212/100000 [10:12:52<10:12:30, 1.35step/s] Training: 50%|█████ | 50213/100000 [10:12:53<10:13:17, 1.35step/s] Training: 50%|█████ | 50214/100000 [10:12:54<9:47:10, 1.41step/s] [Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=13648 Training: 50%|█████ | 50215/100000 [10:12:54<9:30:55, 1.45step/s] Training: 50%|█████ | 50216/100000 [10:12:55<9:57:07, 1.39step/s] Training: 50%|█████ | 50217/100000 [10:12:56<9:52:27, 1.40step/s] Training: 50%|█████ | 50218/100000 [10:12:57<10:05:31, 1.37step/s] Training: 50%|█████ | 50219/100000 [10:12:57<10:21:50, 1.33step/s] Training: 50%|█████ | 50220/100000 [10:12:58<9:54:31, 1.40step/s] Training: 50%|█████ | 50221/100000 [10:12:59<10:04:24, 1.37step/s] Training: 50%|█████ | 50222/100000 [10:13:00<9:41:55, 1.43step/s] Training: 50%|█████ | 50223/100000 [10:13:00<9:18:36, 1.49step/s] Training: 50%|█████ | 50224/100000 [10:13:01<9:04:38, 1.52step/s] Training: 50%|█████ | 50225/100000 [10:13:02<9:38:31, 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2026-03-12 13:37:21 ot_train.py:435 step:50K smpl:3M ep:11K epch:42.72 loss:0.067 grdn:5.232 lr:1.0e-05 updt_s:0.690 data_s:0.012 Training: 50%|█████ | 50401/100000 [10:15:06<9:17:14, 1.48step/s] Training: 50%|█████ | 50402/100000 [10:15:07<9:29:22, 1.45step/s] Training: 50%|█████ | 50403/100000 [10:15:07<9:48:40, 1.40step/s] Training: 50%|█████ | 50404/100000 [10:15:08<9:50:46, 1.40step/s] Training: 50%|█████ | 50405/100000 [10:15:09<9:47:43, 1.41step/s] Training: 50%|█████ | 50406/100000 [10:15:10<9:55:28, 1.39step/s] Training: 50%|█████ | 50407/100000 [10:15:10<9:32:41, 1.44step/s] Training: 50%|█████ | 50408/100000 [10:15:11<9:14:24, 1.49step/s] Training: 50%|█████ | 50409/100000 [10:15:11<9:11:30, 1.50step/s] Training: 50%|█████ | 50410/100000 [10:15:12<9:38:57, 1.43step/s] Training: 50%|█████ | 50411/100000 [10:15:13<10:08:21, 1.36step/s] Training: 50%|█████ | 50412/100000 [10:15:14<10:25:49, 1.32step/s] Training: 50%|█████ | 50413/100000 [10:15:15<10:28:39, 1.31step/s] Training: 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Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISMTOKENIZERS_PARALLELISM=(true | false) =(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) [Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=43208 [Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=47244 Training: 51%|█████ | 50741/100000 [10:19:11<27:43:55, 2.03s/step] Training: 51%|█████ | 50742/100000 [10:19:12<22:32:03, 1.65s/step] Training: 51%|█████ | 50743/100000 [10:19:12<19:01:51, 1.39s/step] Training: 51%|█████ | 50744/100000 [10:19:13<15:53:48, 1.16s/step] Training: 51%|█████ | 50745/100000 [10:19:14<13:46:01, 1.01s/step] Training: 51%|█████ | 50746/100000 [10:19:14<12:11:07, 1.12step/s] Training: 51%|█████ | 50747/100000 [10:19:15<11:34:58, 1.18step/s] 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[10:24:36<9:32:57, 1.42step/s] Training: 51%|█████ | 51200/100000 [10:24:37<9:13:00, 1.47step/s]INFO 2026-03-12 13:46:53 ot_train.py:435 step:51K smpl:3M ep:11K epch:43.40 loss:0.063 grdn:4.922 lr:1.0e-05 updt_s:0.695 data_s:0.012 Training: 51%|█████ | 51201/100000 [10:24:37<8:54:02, 1.52step/s] Training: 51%|█████ | 51202/100000 [10:24:38<8:42:13, 1.56step/s] Training: 51%|█████ | 51203/100000 [10:24:39<9:13:58, 1.47step/s] Training: 51%|█████ | 51204/100000 [10:24:39<9:44:22, 1.39step/s] Training: 51%|█████ | 51205/100000 [10:24:40<9:57:09, 1.36step/s] Training: 51%|█████ | 51206/100000 [10:24:41<9:49:57, 1.38step/s] Training: 51%|█████ | 51207/100000 [10:24:42<9:27:16, 1.43step/s] Training: 51%|█████ | 51208/100000 [10:24:42<9:09:25, 1.48step/s] Training: 51%|█████ | 51209/100000 [10:24:43<8:56:23, 1.52step/s] Training: 51%|█████ | 51210/100000 [10:24:43<8:48:52, 1.54step/s] Training: 51%|█████ | 51211/100000 [10:24:44<9:12:58, 1.47step/s] Training: 51%|█████ | 51212/100000 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tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=10003 Training: 51%|█████ | 51241/100000 [10:25:05<8:55:47, 1.52step/s] Training: 51%|█████ | 51242/100000 [10:25:06<8:47:01, 1.54step/s] Training: 51%|█████ | 51243/100000 [10:25:07<9:19:16, 1.45step/s] Training: 51%|█████ | 51244/100000 [10:25:07<9:33:30, 1.42step/s] Training: 51%|█████ | 51245/100000 [10:25:08<9:48:39, 1.38step/s] Training: 51%|█████ | 51246/100000 [10:25:09<9:57:06, 1.36step/s] Training: 51%|█████ | 51247/100000 [10:25:09<9:33:01, 1.42step/s] Training: 51%|█████ | 51248/100000 [10:25:10<9:12:26, 1.47step/s] Training: 51%|█████ | 51249/100000 [10:25:11<8:59:57, 1.50step/s] Training: 51%|█████▏ | 51250/100000 [10:25:11<8:50:46, 1.53step/s] Training: 51%|█████▏ | 51251/100000 [10:25:12<9:07:22, 1.48step/s] Training: 51%|█████▏ | 51252/100000 [10:25:13<9:30:37, 1.42step/s] Training: 51%|█████▏ | 51253/100000 [10:25:14<9:47:00, 1.38step/s] Training: 51%|█████▏ | 51254/100000 [10:25:14<10:04:13, 1.34step/s] 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51830/100000 [10:32:00<9:35:05, 1.40step/s] Training: 52%|█████▏ | 51831/100000 [10:32:01<9:41:59, 1.38step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=67700 Training: 52%|█████▏ | 51832/100000 [10:32:01<9:13:07, 1.45step/s] Training: 52%|█████▏ | 51833/100000 [10:32:02<8:57:49, 1.49step/s] Training: 52%|█████▏ | 51834/100000 [10:32:03<8:40:44, 1.54step/s] Training: 52%|█████▏ | 51835/100000 [10:32:03<9:00:06, 1.49step/s] Training: 52%|█████▏ | 51836/100000 [10:32:04<9:25:37, 1.42step/s] Training: 52%|█████▏ | 51837/100000 [10:32:05<9:52:55, 1.35step/s] Training: 52%|█████▏ | 51838/100000 [10:32:06<10:00:13, 1.34step/s] Training: 52%|█████▏ | 51839/100000 [10:32:07<10:16:28, 1.30step/s] Training: 52%|█████▏ | 51840/100000 [10:32:07<9:39:27, 1.39step/s] Training: 52%|█████▏ | 51841/100000 [10:32:08<9:19:06, 1.44step/s] Training: 52%|█████▏ | 51842/100000 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ep:11K epch:43.99 loss:0.065 grdn:4.931 lr:9.9e-06 updt_s:0.686 data_s:0.012 Training: 52%|█████▏ | 51901/100000 [10:32:50<9:08:14, 1.46step/s] Training: 52%|█████▏ | 51902/100000 [10:32:51<9:37:38, 1.39step/s] Training: 52%|█████▏ | 51903/100000 [10:32:52<10:15:20, 1.30step/s] Training: 52%|█████▏ | 51904/100000 [10:32:52<9:36:21, 1.39step/s] Training: 52%|█████▏ | 51905/100000 [10:32:53<9:07:56, 1.46step/s] Training: 52%|█████▏ | 51906/100000 [10:32:53<8:47:53, 1.52step/s] Training: 52%|█████▏ | 51907/100000 [10:32:54<9:12:31, 1.45step/s] Training: 52%|█████▏ | 51908/100000 [10:32:55<9:25:19, 1.42step/s] Training: 52%|█████▏ | 51909/100000 [10:32:55<9:00:52, 1.48step/s] Training: 52%|█████▏ | 51910/100000 [10:32:56<9:08:11, 1.46step/s] Training: 52%|█████▏ | 51911/100000 [10:32:57<9:24:49, 1.42step/s] Training: 52%|█████▏ | 51912/100000 [10:32:57<8:57:00, 1.49step/s] Training: 52%|█████▏ | 51913/100000 [10:32:58<8:38:43, 1.55step/s] Training: 52%|█████▏ | 51914/100000 [10:32:59<8:25:02, 1.59step/s] Training: 52%|█████▏ | 51915/100000 [10:32:59<8:53:54, 1.50step/s] Training: 52%|█████▏ | 51916/100000 [10:33:00<9:03:26, 1.47step/s] Training: 52%|█████▏ | 51917/100000 [10:33:01<8:43:50, 1.53step/s] Training: 52%|█████▏ | 51918/100000 [10:33:01<8:54:14, 1.50step/s] Training: 52%|█████▏ | 51919/100000 [10:33:02<9:16:12, 1.44step/s] Training: 52%|█████▏ | 51920/100000 [10:33:04<14:43:08, 1.10s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISMTOKENIZERS_PARALLELISM=(true | false) =(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 52%|█████▏ | 51921/100000 [10:33:08<26:12:01, 1.96s/step] Training: 52%|█████▏ | 51922/100000 [10:33:09<20:56:59, 1.57s/step] Training: 52%|█████▏ | 51923/100000 [10:33:10<18:03:01, 1.35s/step] Training: 52%|█████▏ | 51924/100000 [10:33:11<15:51:56, 1.19s/step] Training: 52%|█████▏ | 51925/100000 [10:33:11<13:36:38, 1.02s/step] Training: 52%|█████▏ | 51926/100000 [10:33:12<12:39:52, 1.05step/s] Training: 52%|█████▏ | 51927/100000 [10:33:13<11:51:22, 1.13step/s] Training: 52%|█████▏ | 51928/100000 [10:33:14<11:45:43, 1.14step/s] Training: 52%|█████▏ | 51929/100000 [10:33:14<10:42:23, 1.25step/s] Training: 52%|█████▏ | 51930/100000 [10:33:15<10:01:45, 1.33step/s] Training: 52%|█████▏ | 51931/100000 [10:33:16<9:55:40, 1.34step/s] Training: 52%|█████▏ | 51932/100000 [10:33:16<10:03:45, 1.33step/s] Training: 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52064/100000 [10:34:50<9:14:19, 1.44step/s] Training: 52%|█████▏ | 52065/100000 [10:34:51<8:58:09, 1.48step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=21500 Training: 52%|█████▏ | 52066/100000 [10:34:52<8:47:01, 1.52step/s] Training: 52%|█████▏ | 52067/100000 [10:34:52<9:14:26, 1.44step/s] Training: 52%|█████▏ | 52068/100000 [10:34:53<9:31:56, 1.40step/s] Training: 52%|█████▏ | 52069/100000 [10:34:54<9:12:46, 1.45step/s] Training: 52%|█████▏ | 52070/100000 [10:34:55<9:42:22, 1.37step/s] Training: 52%|█████▏ | 52071/100000 [10:34:55<9:53:50, 1.35step/s] Training: 52%|█████▏ | 52072/100000 [10:34:56<9:26:08, 1.41step/s] Training: 52%|█████▏ | 52073/100000 [10:34:57<9:06:30, 1.46step/s] Training: 52%|█████▏ | 52074/100000 [10:34:57<8:52:41, 1.50step/s] Training: 52%|█████▏ | 52075/100000 [10:34:58<9:19:56, 1.43step/s] Training: 52%|█████▏ | 52076/100000 [10:34:59<9:37:41, 1.38step/s] Training: 52%|█████▏ | 52077/100000 [10:35:00<9:48:42, 1.36step/s] Training: 52%|█████▏ | 52078/100000 [10:35:00<9:57:17, 1.34step/s] Training: 52%|█████▏ | 52079/100000 [10:35:01<10:03:06, 1.32step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=43367 Training: 52%|█████▏ | 52080/100000 [10:35:02<9:33:16, 1.39step/s] Training: 52%|█████▏ | 52081/100000 [10:35:03<9:15:35, 1.44step/s] Training: 52%|█████▏ | 52082/100000 [10:35:03<9:01:34, 1.47step/s] Training: 52%|█████▏ | 52083/100000 [10:35:04<9:22:51, 1.42step/s] Training: 52%|█████▏ | 52084/100000 [10:35:05<9:44:16, 1.37step/s] Training: 52%|█████▏ | 52085/100000 [10:35:05<9:54:51, 1.34step/s] Training: 52%|█████▏ | 52086/100000 [10:35:06<10:02:41, 1.33step/s] Training: 52%|█████▏ | 52087/100000 [10:35:07<9:55:35, 1.34step/s] Training: 52%|█████▏ | 52088/100000 [10:35:08<9:32:02, 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> tolerance_s=2.0)., retrying with idx=73210 Training: 52%|█████▏ | 52159/100000 [10:35:57<9:39:35, 1.38step/s] Training: 52%|█████▏ | 52160/100000 [10:35:58<9:16:33, 1.43step/s] Training: 52%|█████▏ | 52161/100000 [10:35:59<9:02:49, 1.47step/s] Training: 52%|█████▏ | 52162/100000 [10:35:59<8:52:59, 1.50step/s] Training: 52%|█████▏ | 52163/100000 [10:36:00<9:19:54, 1.42step/s] Training: 52%|█████▏ | 52164/100000 [10:36:01<9:05:40, 1.46step/s] Training: 52%|█████▏ | 52165/100000 [10:36:01<9:22:36, 1.42step/s] Training: 52%|█████▏ | 52166/100000 [10:36:02<9:37:44, 1.38step/s] Training: 52%|█████▏ | 52167/100000 [10:36:03<9:47:36, 1.36step/s] Training: 52%|█████▏ | 52168/100000 [10:36:03<9:17:29, 1.43step/s] Training: 52%|█████▏ | 52169/100000 [10:36:04<8:54:01, 1.49step/s] Training: 52%|█████▏ | 52170/100000 [10:36:05<8:45:31, 1.52step/s] Training: 52%|█████▏ | 52171/100000 [10:36:05<9:12:33, 1.44step/s] Training: 52%|█████▏ | 52172/100000 [10:36:06<8:58:56, 1.48step/s] Training: 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Training: 52%|█████▏ | 52188/100000 [10:36:17<8:48:20, 1.51step/s] Training: 52%|█████▏ | 52189/100000 [10:36:18<9:11:35, 1.44step/s] Training: 52%|█████▏ | 52190/100000 [10:36:19<9:28:20, 1.40step/s] Training: 52%|█████▏ | 52191/100000 [10:36:19<9:42:29, 1.37step/s] Training: 52%|█████▏ | 52192/100000 [10:36:20<9:11:16, 1.45step/s] Training: 52%|█████▏ | 52193/100000 [10:36:21<8:49:32, 1.50step/s] Training: 52%|█████▏ | 52194/100000 [10:36:21<8:41:01, 1.53step/s] Training: 52%|█████▏ | 52195/100000 [10:36:22<9:14:40, 1.44step/s] Training: 52%|█████▏ | 52196/100000 [10:36:23<8:57:14, 1.48step/s] Training: 52%|█████▏ | 52197/100000 [10:36:23<9:08:51, 1.45step/s] Training: 52%|█████▏ | 52198/100000 [10:36:24<9:21:27, 1.42step/s] Training: 52%|█████▏ | 52199/100000 [10:36:25<9:43:53, 1.36step/s] Training: 52%|█████▏ | 52200/100000 [10:36:26<9:17:10, 1.43step/s]INFO 2026-03-12 13:58:42 ot_train.py:435 step:52K smpl:3M ep:11K epch:44.24 loss:0.060 grdn:4.397 lr:9.9e-06 updt_s:0.681 data_s:0.012 Training: 52%|█████▏ | 52201/100000 [10:36:26<9:01:00, 1.47step/s] Training: 52%|█████▏ | 52202/100000 [10:36:27<8:45:30, 1.52step/s] Training: 52%|█████▏ | 52203/100000 [10:36:28<9:11:12, 1.45step/s] Training: 52%|█████▏ | 52204/100000 [10:36:28<8:49:59, 1.50step/s] Training: 52%|█████▏ | 52205/100000 [10:36:29<9:08:07, 1.45step/s] Training: 52%|█████▏ | 52206/100000 [10:36:30<9:38:13, 1.38step/s] Training: 52%|█████▏ | 52207/100000 [10:36:31<9:42:14, 1.37step/s] Training: 52%|█████▏ | 52208/100000 [10:36:31<9:52:39, 1.34step/s] Training: 52%|█████▏ | 52209/100000 [10:36:32<9:19:04, 1.42step/s] Training: 52%|█████▏ | 52210/100000 [10:36:33<8:55:55, 1.49step/s] Training: 52%|█████▏ | 52211/100000 [10:36:33<9:19:28, 1.42step/s] Training: 52%|█████▏ | 52212/100000 [10:36:34<9:02:18, 1.47step/s] Training: 52%|█████▏ | 52213/100000 [10:36:35<9:29:44, 1.40step/s] Training: 52%|█████▏ | 52214/100000 [10:36:36<9:52:06, 1.35step/s] Training: 52%|█████▏ | 52215/100000 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several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=21500 Training: 52%|█████▏ | 52274/100000 [10:37:18<9:06:46, 1.45step/s] Training: 52%|█████▏ | 52275/100000 [10:37:19<9:30:53, 1.39step/s] Training: 52%|█████▏ | 52276/100000 [10:37:19<9:12:19, 1.44step/s] Training: 52%|█████▏ | 52277/100000 [10:37:20<9:38:57, 1.37step/s] Training: 52%|█████▏ | 52278/100000 [10:37:21<9:56:54, 1.33step/s] Training: 52%|█████▏ | 52279/100000 [10:37:22<9:47:27, 1.35step/s] Training: 52%|█████▏ | 52280/100000 [10:37:22<9:24:17, 1.41step/s] Training: 52%|█████▏ | 52281/100000 [10:37:23<9:07:17, 1.45step/s] Training: 52%|█████▏ | 52282/100000 [10:37:24<9:29:43, 1.40step/s] Training: 52%|█████▏ | 52283/100000 [10:37:25<9:34:59, 1.38step/s] Training: 52%|█████▏ | 52284/100000 [10:37:25<9:17:03, 1.43step/s] Training: 52%|█████▏ | 52285/100000 [10:37:26<9:40:26, 1.37step/s] Training: 52%|█████▏ | 52286/100000 [10:37:27<9:50:24, 1.35step/s] Training: 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epch:44.33 loss:0.061 grdn:4.669 lr:9.8e-06 updt_s:0.695 data_s:0.012 Training: 52%|█████▏ | 52301/100000 [10:37:37<9:19:30, 1.42step/s] Training: 52%|█████▏ | 52302/100000 [10:37:38<9:28:22, 1.40step/s] Training: 52%|█████▏ | 52303/100000 [10:37:39<9:37:53, 1.38step/s] Training: 52%|█████▏ | 52304/100000 [10:37:39<9:17:05, 1.43step/s] Training: 52%|█████▏ | 52305/100000 [10:37:40<8:58:04, 1.48step/s] Training: 52%|█████▏ | 52306/100000 [10:37:41<9:11:07, 1.44step/s] Training: 52%|█████▏ | 52307/100000 [10:37:42<9:27:17, 1.40step/s] Training: 52%|█████▏ | 52308/100000 [10:37:42<9:06:08, 1.46step/s] Training: 52%|█████▏ | 52309/100000 [10:37:43<9:22:27, 1.41step/s] Training: 52%|█████▏ | 52310/100000 [10:37:44<9:35:21, 1.38step/s] Training: 52%|█████▏ | 52311/100000 [10:37:44<9:37:07, 1.38step/s] Training: 52%|█████▏ | 52312/100000 [10:37:45<9:14:03, 1.43step/s] Training: 52%|█████▏ | 52313/100000 [10:37:46<8:56:59, 1.48step/s] Training: 52%|█████▏ | 52314/100000 [10:37:46<9:20:33, 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[10:37:57<8:51:45, 1.49step/s] Training: 52%|█████▏ | 52330/100000 [10:37:57<8:44:37, 1.51step/s] Training: 52%|█████▏ | 52331/100000 [10:37:58<9:08:54, 1.45step/s] Training: 52%|█████▏ | 52332/100000 [10:37:59<8:53:55, 1.49step/s] Training: 52%|█████▏ | 52333/100000 [10:38:00<9:17:02, 1.43step/s] Training: 52%|█████▏ | 52334/100000 [10:38:00<9:29:06, 1.40step/s] Training: 52%|█████▏ | 52335/100000 [10:38:01<9:32:40, 1.39step/s] Training: 52%|█████▏ | 52336/100000 [10:38:02<9:05:24, 1.46step/s] Training: 52%|█████▏ | 52337/100000 [10:38:02<8:50:04, 1.50step/s] Training: 52%|█████▏ | 52338/100000 [10:38:03<8:41:38, 1.52step/s] Training: 52%|█████▏ | 52339/100000 [10:38:04<9:11:48, 1.44step/s] Training: 52%|█████▏ | 52340/100000 [10:38:04<8:49:50, 1.50step/s] Training: 52%|█████▏ | 52341/100000 [10:38:05<9:08:44, 1.45step/s] Training: 52%|█████▏ | 52342/100000 [10:38:06<9:30:36, 1.39step/s] Training: 52%|█████▏ | 52343/100000 [10:38:07<9:47:14, 1.35step/s] Training: 52%|█████▏ | 52344/100000 [10:38:07<9:22:03, 1.41step/s] Training: 52%|█████▏ | 52345/100000 [10:38:08<9:04:59, 1.46step/s] Training: 52%|█████▏ | 52346/100000 [10:38:09<8:54:28, 1.49step/s] Training: 52%|█████▏ | 52347/100000 [10:38:09<9:20:38, 1.42step/s] Training: 52%|█████▏ | 52348/100000 [10:38:10<9:01:32, 1.47step/s] Training: 52%|█████▏ | 52349/100000 [10:38:11<9:16:36, 1.43step/s] Training: 52%|█████▏ | 52350/100000 [10:38:12<9:56:48, 1.33step/s] Training: 52%|█████▏ | 52351/100000 [10:38:12<9:51:21, 1.34step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=73210 Training: 52%|█████▏ | 52352/100000 [10:38:13<9:27:19, 1.40step/s] Training: 52%|█████▏ | 52353/100000 [10:38:14<9:08:07, 1.45step/s] Training: 52%|█████▏ | 52354/100000 [10:38:14<8:49:09, 1.50step/s] Training: 52%|█████▏ | 52355/100000 [10:38:15<9:15:09, 1.43step/s] Training: 52%|█████▏ | 52356/100000 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2026-03-12 14:01:03 ot_train.py:435 step:52K smpl:3M ep:11K epch:44.41 loss:0.060 grdn:5.018 lr:9.8e-06 updt_s:0.688 data_s:0.012 Training: 52%|█████▏ | 52401/100000 [10:38:47<9:05:14, 1.45step/s] Training: 52%|█████▏ | 52402/100000 [10:38:48<8:57:02, 1.48step/s] Training: 52%|█████▏ | 52403/100000 [10:38:49<9:26:49, 1.40step/s] Training: 52%|█████▏ | 52404/100000 [10:38:49<9:10:52, 1.44step/s] Training: 52%|█████▏ | 52405/100000 [10:38:50<9:46:25, 1.35step/s] Training: 52%|█████▏ | 52406/100000 [10:38:51<9:55:57, 1.33step/s] Training: 52%|█████▏ | 52407/100000 [10:38:52<10:06:39, 1.31step/s] Training: 52%|█████▏ | 52408/100000 [10:38:53<9:37:33, 1.37step/s] Training: 52%|█████▏ | 52409/100000 [10:38:53<9:09:33, 1.44step/s] Training: 52%|█████▏ | 52410/100000 [10:38:54<8:50:26, 1.50step/s] Training: 52%|█████▏ | 52411/100000 [10:38:55<9:08:29, 1.45step/s] Training: 52%|█████▏ | 52412/100000 [10:38:55<8:54:12, 1.48step/s] Training: 52%|█████▏ | 52413/100000 [10:38:56<9:31:42, 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[10:39:07<9:38:58, 1.37step/s] Training: 52%|█████▏ | 52429/100000 [10:39:07<9:44:32, 1.36step/s] Training: 52%|█████▏ | 52430/100000 [10:39:08<10:06:39, 1.31step/s] Training: 52%|█████▏ | 52431/100000 [10:39:09<10:08:24, 1.30step/s] Training: 52%|█████▏ | 52432/100000 [10:39:10<9:30:45, 1.39step/s] Training: 52%|█████▏ | 52433/100000 [10:39:10<9:08:16, 1.45step/s] Training: 52%|█████▏ | 52434/100000 [10:39:11<8:52:02, 1.49step/s] Training: 52%|█████▏ | 52435/100000 [10:39:12<9:01:34, 1.46step/s] Training: 52%|█████▏ | 52436/100000 [10:39:12<9:32:52, 1.38step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=34715 Training: 52%|█████▏ | 52437/100000 [10:39:13<9:45:23, 1.35step/s] Training: 52%|█████▏ | 52438/100000 [10:39:14<9:45:49, 1.35step/s] Training: 52%|█████▏ | 52439/100000 [10:39:15<9:59:30, 1.32step/s] Training: 52%|█████▏ | 52440/100000 [10:39:15<9:28:37, 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52470/100000 [10:39:36<9:43:02, 1.36step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=68816 Training: 52%|█████▏ | 52471/100000 [10:39:37<10:17:12, 1.28step/s] Training: 52%|█████▏ | 52472/100000 [10:39:38<9:42:39, 1.36step/s] Training: 52%|█████▏ | 52473/100000 [10:39:39<9:17:50, 1.42step/s] Training: 52%|█████▏ | 52474/100000 [10:39:39<8:57:22, 1.47step/s] Training: 52%|█████▏ | 52475/100000 [10:39:40<9:11:03, 1.44step/s] Training: 52%|█████▏ | 52476/100000 [10:39:41<9:27:45, 1.40step/s] Training: 52%|█████▏ | 52477/100000 [10:39:41<9:40:03, 1.37step/s] Training: 52%|█████▏ | 52478/100000 [10:39:42<9:42:01, 1.36step/s] Training: 52%|█████▏ | 52479/100000 [10:39:43<9:39:51, 1.37step/s] Training: 52%|█████▏ | 52480/100000 [10:39:44<9:51:17, 1.34step/s] Training: 52%|█████▏ | 52481/100000 [10:39:44<9:17:41, 1.42step/s] Training: 52%|█████▏ | 52482/100000 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1.48step/s] Training: 53%|█████▎ | 53090/100000 [10:46:58<8:28:38, 1.54step/s] Training: 53%|█████▎ | 53091/100000 [10:46:59<8:39:26, 1.51step/s] Training: 53%|█████▎ | 53092/100000 [10:46:59<8:23:45, 1.55step/s] Training: 53%|█████▎ | 53093/100000 [10:47:00<8:25:20, 1.55step/s] Training: 53%|█████▎ | 53094/100000 [10:47:01<8:52:13, 1.47step/s] Training: 53%|█████▎ | 53095/100000 [10:47:01<9:09:03, 1.42step/s] Training: 53%|█████▎ | 53096/100000 [10:47:02<8:43:06, 1.49step/s] Training: 53%|█████▎ | 53097/100000 [10:47:03<8:30:37, 1.53step/s] Training: 53%|█████▎ | 53098/100000 [10:47:03<8:24:48, 1.55step/s] Training: 53%|█████▎ | 53099/100000 [10:47:04<8:38:12, 1.51step/s] Training: 53%|█████▎ | 53100/100000 [10:47:06<13:34:07, 1.04s/step]INFO 2026-03-12 14:09:22 ot_train.py:435 step:53K smpl:3M ep:12K epch:45.01 loss:0.061 grdn:5.485 lr:9.6e-06 updt_s:0.674 data_s:0.025 huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISMTOKENIZERS_PARALLELISM=(true | false) =(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 53%|█████▎ | 53101/100000 [10:47:10<24:52:08, 1.91s/step] Training: 53%|█████▎ | 53102/100000 [10:47:11<20:39:56, 1.59s/step] Training: 53%|█████▎ | 53103/100000 [10:47:11<17:45:47, 1.36s/step] Training: 53%|█████▎ | 53104/100000 [10:47:12<14:50:59, 1.14s/step] Training: 53%|█████▎ | 53105/100000 [10:47:13<12:50:32, 1.01step/s] Training: 53%|█████▎ | 53106/100000 [10:47:13<11:27:39, 1.14step/s] Training: 53%|█████▎ | 53107/100000 [10:47:14<11:13:36, 1.16step/s] Training: 53%|█████▎ | 53108/100000 [10:47:15<10:18:27, 1.26step/s] Training: 53%|█████▎ | 53109/100000 [10:47:15<10:17:06, 1.27step/s] Training: 53%|█████▎ | 53110/100000 [10:47:16<10:11:17, 1.28step/s] Training: 53%|█████▎ | 53111/100000 [10:47:17<10:12:43, 1.28step/s] Training: 53%|█████▎ | 53112/100000 [10:47:18<9:35:17, 1.36step/s] Training: 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[10:48:39<8:38:02, 1.50step/s] Training: 53%|█████▎ | 53230/100000 [10:48:40<9:01:47, 1.44step/s] Training: 53%|█████▎ | 53231/100000 [10:48:41<9:18:52, 1.39step/s] Training: 53%|█████▎ | 53232/100000 [10:48:41<8:58:56, 1.45step/s] Training: 53%|█████▎ | 53233/100000 [10:48:42<8:44:32, 1.49step/s] Training: 53%|█████▎ | 53234/100000 [10:48:42<8:38:21, 1.50step/s] Training: 53%|█████▎ | 53235/100000 [10:48:43<9:12:34, 1.41step/s] Training: 53%|█████▎ | 53236/100000 [10:48:44<8:47:25, 1.48step/s] Training: 53%|█████▎ | 53237/100000 [10:48:44<8:34:23, 1.52step/s] Training: 53%|█████▎ | 53238/100000 [10:48:45<9:16:45, 1.40step/s] Training: 53%|█████▎ | 53239/100000 [10:48:46<9:26:46, 1.38step/s] Training: 53%|█████▎ | 53240/100000 [10:48:47<9:03:07, 1.43step/s] Training: 53%|█████▎ | 53241/100000 [10:48:47<8:49:13, 1.47step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with 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2026-03-12 14:11:44 ot_train.py:435 step:53K smpl:3M ep:12K epch:45.18 loss:0.061 grdn:4.379 lr:9.5e-06 updt_s:0.677 data_s:0.012 Training: 53%|█████▎ | 53301/100000 [10:49:29<8:26:19, 1.54step/s] Training: 53%|█████▎ | 53302/100000 [10:49:30<8:55:37, 1.45step/s] Training: 53%|█████▎ | 53303/100000 [10:49:30<9:13:49, 1.41step/s] Training: 53%|█████▎ | 53304/100000 [10:49:31<8:53:34, 1.46step/s] Training: 53%|█████▎ | 53305/100000 [10:49:32<8:34:25, 1.51step/s] Training: 53%|█████▎ | 53306/100000 [10:49:32<8:26:32, 1.54step/s] Training: 53%|█████▎ | 53307/100000 [10:49:33<8:42:33, 1.49step/s] Training: 53%|█████▎ | 53308/100000 [10:49:34<8:27:17, 1.53step/s] Training: 53%|█████▎ | 53309/100000 [10:49:34<8:55:40, 1.45step/s] Training: 53%|█████▎ | 53310/100000 [10:49:35<9:17:47, 1.40step/s] Training: 53%|█████▎ | 53311/100000 [10:49:36<9:19:20, 1.39step/s] Training: 53%|█████▎ | 53312/100000 [10:49:36<8:58:06, 1.45step/s] Training: 53%|█████▎ | 53313/100000 [10:49:37<8:37:50, 1.50step/s] 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[10:49:58<9:21:21, 1.39step/s] Training: 53%|█████▎ | 53344/100000 [10:49:58<9:00:05, 1.44step/s] Training: 53%|█████▎ | 53345/100000 [10:49:59<8:44:25, 1.48step/s] Training: 53%|█████▎ | 53346/100000 [10:50:00<8:29:13, 1.53step/s] Training: 53%|█████▎ | 53347/100000 [10:50:00<8:56:32, 1.45step/s] Training: 53%|█████▎ | 53348/100000 [10:50:01<8:41:01, 1.49step/s] Training: 53%|█████▎ | 53349/100000 [10:50:02<8:25:46, 1.54step/s] Training: 53%|█████▎ | 53350/100000 [10:50:02<8:55:29, 1.45step/s] Training: 53%|█████▎ | 53351/100000 [10:50:03<9:11:27, 1.41step/s] Training: 53%|█████▎ | 53352/100000 [10:50:04<8:52:16, 1.46step/s] Training: 53%|█████▎ | 53353/100000 [10:50:04<8:37:13, 1.50step/s] Training: 53%|█████▎ | 53354/100000 [10:50:05<8:27:05, 1.53step/s] Training: 53%|█████▎ | 53355/100000 [10:50:06<8:52:52, 1.46step/s] Training: 53%|█████▎ | 53356/100000 [10:50:06<8:38:12, 1.50step/s] Training: 53%|█████▎ | 53357/100000 [10:50:07<8:28:05, 1.53step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=4288 Training: 53%|█████▎ | 53358/100000 [10:50:08<8:53:27, 1.46step/s] Training: 53%|█████▎ | 53359/100000 [10:50:08<9:13:02, 1.41step/s] Training: 53%|█████▎ | 53360/100000 [10:50:09<8:49:18, 1.47step/s] Training: 53%|█████▎ | 53361/100000 [10:50:10<8:35:29, 1.51step/s] Training: 53%|█████▎ | 53362/100000 [10:50:10<8:26:41, 1.53step/s] Training: 53%|█████▎ | 53363/100000 [10:50:11<8:55:19, 1.45step/s] Training: 53%|█████▎ | 53364/100000 [10:50:12<8:40:24, 1.49step/s] Training: 53%|█████▎ | 53365/100000 [10:50:12<8:26:03, 1.54step/s] Training: 53%|█████▎ | 53366/100000 [10:50:13<8:54:08, 1.46step/s] Training: 53%|█████▎ | 53367/100000 [10:50:14<9:17:33, 1.39step/s] Training: 53%|█████▎ | 53368/100000 [10:50:15<8:56:51, 1.45step/s] Training: 53%|█████▎ | 53369/100000 [10:50:15<8:40:48, 1.49step/s] Training: 53%|█████▎ | 53370/100000 [10:50:16<8:30:22, 1.52step/s] Training: 53%|█████▎ | 53371/100000 [10:50:16<8:46:23, 1.48step/s] Training: 53%|█████▎ | 53372/100000 [10:50:17<8:35:29, 1.51step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=56209 Training: 53%|█████▎ | 53373/100000 [10:50:18<8:27:22, 1.53step/s] Training: 53%|█████▎ | 53374/100000 [10:50:19<9:01:56, 1.43step/s] Training: 53%|█████▎ | 53375/100000 [10:50:19<9:10:33, 1.41step/s] Training: 53%|█████▎ | 53376/100000 [10:50:20<9:25:18, 1.37step/s] Training: 53%|█████▎ | 53377/100000 [10:50:21<9:01:04, 1.44step/s] Training: 53%|█████▎ | 53378/100000 [10:50:21<8:44:50, 1.48step/s] Training: 53%|█████▎ | 53379/100000 [10:50:22<9:07:10, 1.42step/s] Training: 53%|█████▎ | 53380/100000 [10:50:23<8:49:13, 1.47step/s] Training: 53%|█████▎ | 53381/100000 [10:50:23<8:35:54, 1.51step/s] Training: 53%|█████▎ | 53382/100000 [10:50:24<9:17:44, 1.39step/s] Training: 53%|█████▎ | 53383/100000 [10:50:25<9:40:18, 1.34step/s] Training: 53%|█████▎ | 53384/100000 [10:50:26<9:07:26, 1.42step/s] Training: 53%|█████▎ | 53385/100000 [10:50:26<8:48:33, 1.47step/s] Training: 53%|█████▎ | 53386/100000 [10:50:27<8:37:19, 1.50step/s] Training: 53%|█████▎ | 53387/100000 [10:50:28<8:58:19, 1.44step/s] Training: 53%|█████▎ | 53388/100000 [10:50:28<8:42:22, 1.49step/s] Training: 53%|█████▎ | 53389/100000 [10:50:29<8:35:56, 1.51step/s] Training: 53%|█████▎ | 53390/100000 [10:50:30<9:04:52, 1.43step/s] Training: 53%|█████▎ | 53391/100000 [10:50:30<9:27:03, 1.37step/s] Training: 53%|█████▎ | 53392/100000 [10:50:31<9:34:55, 1.35step/s] Training: 53%|█████▎ | 53393/100000 [10:50:32<9:07:17, 1.42step/s] Training: 53%|█████▎ | 53394/100000 [10:50:32<8:48:26, 1.47step/s] Training: 53%|█████▎ | 53395/100000 [10:50:33<9:10:00, 1.41step/s] Training: 53%|█████▎ | 53396/100000 [10:50:34<8:56:06, 1.45step/s] Training: 53%|█████▎ | 53397/100000 [10:50:34<8:37:42, 1.50step/s] Training: 53%|█████▎ | 53398/100000 [10:50:35<9:21:31, 1.38step/s] Training: 53%|█████▎ | 53399/100000 [10:50:36<9:25:45, 1.37step/s] Training: 53%|█████▎ | 53400/100000 [10:50:37<9:38:51, 1.34step/s]INFO 2026-03-12 14:12:53 ot_train.py:435 step:53K smpl:3M ep:12K epch:45.26 loss:0.059 grdn:4.575 lr:9.5e-06 updt_s:0.673 data_s:0.012 Training: 53%|█████▎ | 53401/100000 [10:50:38<9:14:55, 1.40step/s] Training: 53%|█████▎ | 53402/100000 [10:50:38<8:58:40, 1.44step/s] Training: 53%|█████▎ | 53403/100000 [10:50:39<9:10:15, 1.41step/s] Training: 53%|█████▎ | 53404/100000 [10:50:40<8:55:58, 1.45step/s] Training: 53%|█████▎ | 53405/100000 [10:50:40<8:36:58, 1.50step/s] Training: 53%|█████▎ | 53406/100000 [10:50:41<9:03:15, 1.43step/s] Training: 53%|█████▎ | 53407/100000 [10:50:42<9:21:15, 1.38step/s] Training: 53%|█████▎ | 53408/100000 [10:50:42<9:25:03, 1.37step/s] Training: 53%|█████▎ | 53409/100000 [10:50:43<9:02:45, 1.43step/s] Training: 53%|█████▎ | 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timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=55409 Training: 53%|█████▎ | 53439/100000 [10:51:04<9:19:49, 1.39step/s] Training: 53%|█████▎ | 53440/100000 [10:51:05<9:27:27, 1.37step/s] Training: 53%|█████▎ | 53441/100000 [10:51:05<9:35:30, 1.35step/s] Training: 53%|█████▎ | 53442/100000 [10:51:06<9:07:59, 1.42step/s] Training: 53%|█████▎ | 53443/100000 [10:51:07<9:22:56, 1.38step/s] Training: 53%|█████▎ | 53444/100000 [10:51:07<9:00:55, 1.43step/s] Training: 53%|█████▎ | 53445/100000 [10:51:08<8:43:09, 1.48step/s] Training: 53%|█████▎ | 53446/100000 [10:51:09<9:04:25, 1.43step/s] Training: 53%|█████▎ | 53447/100000 [10:51:10<9:17:15, 1.39step/s] Training: 53%|█████▎ | 53448/100000 [10:51:10<9:26:53, 1.37step/s] Training: 53%|█████▎ | 53449/100000 [10:51:11<9:45:45, 1.32step/s] Training: 53%|█████▎ | 53450/100000 [10:51:12<9:09:50, 1.41step/s] Training: 53%|█████▎ | 53451/100000 [10:51:13<9:16:59, 1.39step/s] Training: 53%|█████▎ | 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1.47step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=14329 Training: 54%|█████▍ | 53859/100000 [10:56:00<9:00:18, 1.42step/s] Training: 54%|█████▍ | 53860/100000 [10:56:00<8:38:49, 1.48step/s] Training: 54%|█████▍ | 53861/100000 [10:56:01<9:03:23, 1.42step/s] Training: 54%|█████▍ | 53862/100000 [10:56:02<8:43:34, 1.47step/s] Training: 54%|█████▍ | 53863/100000 [10:56:02<9:02:03, 1.42step/s] Training: 54%|█████▍ | 53864/100000 [10:56:03<9:23:42, 1.36step/s] Training: 54%|█████▍ | 53865/100000 [10:56:04<8:58:27, 1.43step/s] Training: 54%|█████▍ | 53866/100000 [10:56:04<8:37:34, 1.49step/s] Training: 54%|█████▍ | 53867/100000 [10:56:05<8:53:48, 1.44step/s] Training: 54%|█████▍ | 53868/100000 [10:56:06<8:33:47, 1.50step/s] Training: 54%|█████▍ | 53869/100000 [10:56:06<8:53:33, 1.44step/s] Training: 54%|█████▍ | 53870/100000 [10:56:07<9:03:36, 1.41step/s] Training: 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1.44step/s]INFO 2026-03-12 14:18:44 ot_train.py:435 step:54K smpl:3M ep:12K epch:45.69 loss:0.060 grdn:4.760 lr:9.4e-06 updt_s:0.689 data_s:0.012 Training: 54%|█████▍ | 53901/100000 [10:56:29<8:42:33, 1.47step/s] Training: 54%|█████▍ | 53902/100000 [10:56:30<9:21:27, 1.37step/s] Training: 54%|█████▍ | 53903/100000 [10:56:31<9:27:03, 1.35step/s] Training: 54%|█████▍ | 53904/100000 [10:56:31<9:36:40, 1.33step/s] Training: 54%|█████▍ | 53905/100000 [10:56:32<9:08:30, 1.40step/s] Training: 54%|█████▍ | 53906/100000 [10:56:33<8:49:20, 1.45step/s] Training: 54%|█████▍ | 53907/100000 [10:56:33<8:56:57, 1.43step/s] Training: 54%|█████▍ | 53908/100000 [10:56:34<8:37:38, 1.48step/s] Training: 54%|█████▍ | 53909/100000 [10:56:35<8:22:23, 1.53step/s] Training: 54%|█████▍ | 53910/100000 [10:56:35<8:53:20, 1.44step/s] Training: 54%|█████▍ | 53911/100000 [10:56:36<9:13:49, 1.39step/s] Training: 54%|█████▍ | 53912/100000 [10:56:37<9:29:35, 1.35step/s] Training: 54%|█████▍ | 53913/100000 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Training: 54%|█████▍ | 54191/100000 [10:59:53<9:14:19, 1.38step/s] Training: 54%|█████▍ | 54192/100000 [10:59:54<9:29:36, 1.34step/s] Training: 54%|█████▍ | 54193/100000 [10:59:55<9:05:30, 1.40step/s] Training: 54%|█████▍ | 54194/100000 [10:59:55<8:44:02, 1.46step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=64268 Training: 54%|█████▍ | 54195/100000 [10:59:56<9:01:29, 1.41step/s] Training: 54%|█████▍ | 54196/100000 [10:59:57<8:39:11, 1.47step/s] Training: 54%|█████▍ | 54197/100000 [10:59:57<9:04:59, 1.40step/s] Training: 54%|█████▍ | 54198/100000 [10:59:58<9:01:32, 1.41step/s] Training: 54%|█████▍ | 54199/100000 [10:59:59<9:12:01, 1.38step/s] Training: 54%|█████▍ | 54200/100000 [11:00:00<9:23:25, 1.35step/s]INFO 2026-03-12 14:22:16 ot_train.py:435 step:54K smpl:3M ep:12K epch:45.94 loss:0.058 grdn:4.303 lr:9.3e-06 updt_s:0.693 data_s:0.012 Training: 54%|█████▍ 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Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 54%|█████▍ | 54281/100000 [11:01:00<25:30:52, 2.01s/step] Training: 54%|█████▍ | 54282/100000 [11:01:01<20:18:48, 1.60s/step] Training: 54%|█████▍ | 54283/100000 [11:01:01<16:39:19, 1.31s/step] Training: 54%|█████▍ | 54284/100000 [11:01:02<14:48:54, 1.17s/step] Training: 54%|█████▍ | 54285/100000 [11:01:03<12:45:06, 1.00s/step] Training: 54%|█████▍ | 54286/100000 [11:01:03<11:41:18, 1.09step/s] Training: 54%|█████▍ | 54287/100000 [11:01:04<11:19:40, 1.12step/s] Training: 54%|█████▍ | 54288/100000 [11:01:05<11:04:45, 1.15step/s] Training: 54%|█████▍ | 54289/100000 [11:01:06<10:03:09, 1.26step/s] Training: 54%|█████▍ | 54290/100000 [11:01:06<9:28:39, 1.34step/s] Training: 54%|█████▍ | 54291/100000 [11:01:07<9:04:48, 1.40step/s] Training: 54%|█████▍ | 54292/100000 [11:01:08<9:13:45, 1.38step/s] Training: 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violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=33757 Training: 54%|█████▍ | 54349/100000 [11:01:48<8:39:51, 1.46step/s] Training: 54%|█████▍ | 54350/100000 [11:01:49<9:01:16, 1.41step/s] Training: 54%|█████▍ | 54351/100000 [11:01:49<9:19:42, 1.36step/s] Training: 54%|█████▍ | 54352/100000 [11:01:50<9:32:48, 1.33step/s] Training: 54%|█████▍ | 54353/100000 [11:01:51<9:04:07, 1.40step/s] Training: 54%|█████▍ | 54354/100000 [11:01:52<9:43:54, 1.30step/s] Training: 54%|█████▍ | 54355/100000 [11:01:52<9:12:28, 1.38step/s] Training: 54%|█████▍ | 54356/100000 [11:01:53<9:09:15, 1.39step/s] Training: 54%|█████▍ | 54357/100000 [11:01:54<8:47:17, 1.44step/s] Training: 54%|█████▍ | 54358/100000 [11:01:54<8:53:28, 1.43step/s] Training: 54%|█████▍ | 54359/100000 [11:01:55<9:09:47, 1.38step/s] Training: 54%|█████▍ | 54360/100000 [11:01:56<9:24:42, 1.35step/s] Training: 54%|█████▍ | 54361/100000 [11:01:57<8:53:19, 1.43step/s] Training: 54%|█████▍ | 54362/100000 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Training: 55%|█████▌ | 55180/100000 [11:12:36<8:36:16, 1.45step/s] Training: 55%|█████▌ | 55181/100000 [11:12:37<8:17:44, 1.50step/s] Training: 55%|█████▌ | 55182/100000 [11:12:38<8:38:40, 1.44step/s] Training: 55%|█████▌ | 55183/100000 [11:12:38<8:18:26, 1.50step/s] Training: 55%|█████▌ | 55184/100000 [11:12:39<8:45:08, 1.42step/s] Training: 55%|█████▌ | 55185/100000 [11:12:40<8:31:35, 1.46step/s] Training: 55%|█████▌ | 55186/100000 [11:12:41<8:21:32, 1.49step/s] Training: 55%|█████▌ | 55187/100000 [11:12:41<8:14:21, 1.51step/s] Training: 55%|█████▌ | 55188/100000 [11:12:42<8:26:10, 1.48step/s] Training: 55%|█████▌ | 55189/100000 [11:12:42<8:11:26, 1.52step/s] Training: 55%|█████▌ | 55190/100000 [11:12:43<8:42:20, 1.43step/s] Training: 55%|█████▌ | 55191/100000 [11:12:44<8:26:30, 1.47step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=64925 Training: 55%|█████▌ | 55192/100000 [11:12:45<8:53:07, 1.40step/s] Training: 55%|█████▌ | 55193/100000 [11:12:45<8:34:39, 1.45step/s] Training: 55%|█████▌ | 55194/100000 [11:12:46<8:24:10, 1.48step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=68370 Training: 55%|█████▌ | 55195/100000 [11:12:47<8:21:44, 1.49step/s] Training: 55%|█████▌ | 55196/100000 [11:12:47<8:43:28, 1.43step/s] Training: 55%|█████▌ | 55197/100000 [11:12:48<8:31:09, 1.46step/s] Training: 55%|█████▌ | 55198/100000 [11:12:49<8:39:10, 1.44step/s] Training: 55%|█████▌ | 55199/100000 [11:12:49<8:25:45, 1.48step/s] Training: 55%|█████▌ | 55200/100000 [11:12:50<8:51:35, 1.40step/s]INFO 2026-03-12 14:35:06 ot_train.py:435 step:55K smpl:4M ep:12K epch:46.79 loss:0.059 grdn:4.770 lr:9.0e-06 updt_s:0.671 data_s:0.012 Training: 55%|█████▌ | 55201/100000 [11:12:51<9:09:15, 1.36step/s] Training: 55%|█████▌ | 55202/100000 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used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISMTOKENIZERS_PARALLELISM=(true | false) =(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 55%|█████▌ | 55461/100000 [11:15:57<23:44:22, 1.92s/step] Training: 55%|█████▌ | 55462/100000 [11:15:57<19:49:06, 1.60s/step] Training: 55%|█████▌ | 55463/100000 [11:15:58<16:09:32, 1.31s/step] Training: 55%|█████▌ | 55464/100000 [11:15:59<14:41:20, 1.19s/step] Training: 55%|█████▌ | 55465/100000 [11:16:00<13:01:54, 1.05s/step] Training: 55%|█████▌ | 55466/100000 [11:16:00<11:26:52, 1.08step/s] Training: 55%|█████▌ | 55467/100000 [11:16:01<10:21:12, 1.19step/s] Training: 55%|█████▌ | 55468/100000 [11:16:02<10:19:41, 1.20step/s] Training: 55%|█████▌ | 55469/100000 [11:16:02<9:32:33, 1.30step/s] Training: 55%|█████▌ | 55470/100000 [11:16:03<9:39:01, 1.28step/s] Training: 55%|█████▌ | 55471/100000 [11:16:04<9:06:54, 1.36step/s] Training: 55%|█████▌ | 55472/100000 [11:16:05<9:26:50, 1.31step/s] Training: 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Training: 55%|█████▌ | 55488/100000 [11:16:16<8:45:04, 1.41step/s] Training: 55%|█████▌ | 55489/100000 [11:16:17<9:04:00, 1.36step/s] Training: 55%|█████▌ | 55490/100000 [11:16:17<8:39:58, 1.43step/s] Training: 55%|█████▌ | 55491/100000 [11:16:18<8:25:58, 1.47step/s] Training: 55%|█████▌ | 55492/100000 [11:16:19<8:49:15, 1.40step/s] Training: 55%|█████▌ | 55493/100000 [11:16:19<8:31:12, 1.45step/s] Training: 55%|█████▌ | 55494/100000 [11:16:20<8:45:28, 1.41step/s] Training: 55%|█████▌ | 55495/100000 [11:16:21<8:29:29, 1.46step/s] Training: 55%|█████▌ | 55496/100000 [11:16:21<8:58:45, 1.38step/s] Training: 55%|█████▌ | 55497/100000 [11:16:22<9:06:43, 1.36step/s] Training: 55%|█████▌ | 55498/100000 [11:16:23<8:38:02, 1.43step/s] Training: 55%|█████▌ | 55499/100000 [11:16:23<8:21:50, 1.48step/s] Training: 56%|█████▌ | 55500/100000 [11:16:24<8:42:15, 1.42step/s]INFO 2026-03-12 14:38:40 ot_train.py:435 step:56K smpl:4M ep:12K epch:47.04 loss:0.055 grdn:4.506 lr:8.9e-06 updt_s:0.688 data_s:0.056 Training: 56%|█████▌ | 55501/100000 [11:16:25<8:26:39, 1.46step/s] Training: 56%|█████▌ | 55502/100000 [11:16:26<8:46:09, 1.41step/s] Training: 56%|█████▌ | 55503/100000 [11:16:26<8:32:59, 1.45step/s] Training: 56%|█████▌ | 55504/100000 [11:16:27<8:58:52, 1.38step/s] Training: 56%|█████▌ | 55505/100000 [11:16:28<9:22:05, 1.32step/s] Training: 56%|█████▌ | 55506/100000 [11:16:29<8:52:10, 1.39step/s] Training: 56%|█████▌ | 55507/100000 [11:16:29<8:27:27, 1.46step/s] Training: 56%|█████▌ | 55508/100000 [11:16:30<8:36:17, 1.44step/s] Training: 56%|█████▌ | 55509/100000 [11:16:31<8:22:23, 1.48step/s] Training: 56%|█████▌ | 55510/100000 [11:16:31<8:41:54, 1.42step/s] Training: 56%|█████▌ | 55511/100000 [11:16:32<8:23:57, 1.47step/s] Training: 56%|█████▌ | 55512/100000 [11:16:33<8:35:49, 1.44step/s] Training: 56%|█████▌ | 55513/100000 [11:16:33<8:53:32, 1.39step/s] Training: 56%|█████▌ | 55514/100000 [11:16:34<9:06:13, 1.36step/s] Training: 56%|█████▌ | 55515/100000 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retrying with idx=55880 Training: 56%|█████▌ | 55543/100000 [11:16:55<8:24:34, 1.47step/s] Training: 56%|█████▌ | 55544/100000 [11:16:55<8:37:52, 1.43step/s] Training: 56%|█████▌ | 55545/100000 [11:16:56<8:51:46, 1.39step/s] Training: 56%|█████▌ | 55546/100000 [11:16:57<8:59:51, 1.37step/s] Training: 56%|█████▌ | 55547/100000 [11:16:58<8:37:42, 1.43step/s] Training: 56%|█████▌ | 55548/100000 [11:16:58<8:52:25, 1.39step/s] Training: 56%|█████▌ | 55549/100000 [11:16:59<8:29:07, 1.46step/s] Training: 56%|█████▌ | 55550/100000 [11:17:00<8:47:53, 1.40step/s] Training: 56%|█████▌ | 55551/100000 [11:17:00<8:24:40, 1.47step/s] Training: 56%|█████▌ | 55552/100000 [11:17:01<8:49:33, 1.40step/s] Training: 56%|█████▌ | 55553/100000 [11:17:02<9:09:01, 1.35step/s] Training: 56%|█████▌ | 55554/100000 [11:17:03<8:48:27, 1.40step/s] Training: 56%|█████▌ | 55555/100000 [11:17:03<9:04:51, 1.36step/s] Training: 56%|█████▌ | 55556/100000 [11:17:04<9:12:54, 1.34step/s] Training: 56%|█████▌ | 55557/100000 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2026-03-12 14:41:01 ot_train.py:435 step:56K smpl:4M ep:12K epch:47.21 loss:0.054 grdn:4.119 lr:8.8e-06 updt_s:0.687 data_s:0.012 Training: 56%|█████▌ | 55701/100000 [11:18:46<8:19:07, 1.48step/s] Training: 56%|█████▌ | 55702/100000 [11:18:47<8:39:59, 1.42step/s] Training: 56%|█████▌ | 55703/100000 [11:18:48<9:13:52, 1.33step/s] Training: 56%|█████▌ | 55704/100000 [11:18:48<9:16:01, 1.33step/s] Training: 56%|█████▌ | 55705/100000 [11:18:49<8:47:41, 1.40step/s] Training: 56%|█████▌ | 55706/100000 [11:18:50<8:43:39, 1.41step/s] Training: 56%|█████▌ | 55707/100000 [11:18:50<8:24:43, 1.46step/s] Training: 56%|█████▌ | 55708/100000 [11:18:51<8:44:40, 1.41step/s] Training: 56%|█████▌ | 55709/100000 [11:18:52<8:27:18, 1.46step/s] Training: 56%|█████▌ | 55710/100000 [11:18:53<8:44:40, 1.41step/s] Training: 56%|█████▌ | 55711/100000 [11:18:53<8:52:14, 1.39step/s] Training: 56%|█████▌ | 55712/100000 [11:18:54<9:08:34, 1.35step/s] Training: 56%|█████▌ | 55713/100000 [11:18:55<8:42:47, 1.41step/s] 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Training: 56%|█████▋ | 56274/100000 [11:25:29<8:39:49, 1.40step/s] Training: 56%|█████▋ | 56275/100000 [11:25:30<8:21:46, 1.45step/s] Training: 56%|█████▋ | 56276/100000 [11:25:31<8:11:02, 1.48step/s] Training: 56%|█████▋ | 56277/100000 [11:25:31<8:40:28, 1.40step/s] Training: 56%|█████▋ | 56278/100000 [11:25:32<8:59:40, 1.35step/s] Training: 56%|█████▋ | 56279/100000 [11:25:33<8:33:23, 1.42step/s] Training: 56%|█████▋ | 56280/100000 [11:25:34<8:50:49, 1.37step/s] Training: 56%|█████▋ | 56281/100000 [11:25:34<8:32:06, 1.42step/s] Training: 56%|█████▋ | 56282/100000 [11:25:35<8:49:29, 1.38step/s] Training: 56%|█████▋ | 56283/100000 [11:25:36<8:26:31, 1.44step/s] Training: 56%|█████▋ | 56284/100000 [11:25:36<8:10:38, 1.48step/s] Training: 56%|█████▋ | 56285/100000 [11:25:37<8:29:07, 1.43step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=1724 [Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=11265 Training: 56%|█████▋ | 56286/100000 [11:25:38<8:44:10, 1.39step/s] Training: 56%|█████▋ | 56287/100000 [11:25:39<8:54:26, 1.36step/s] Training: 56%|█████▋ | 56288/100000 [11:25:39<9:02:03, 1.34step/s] Training: 56%|█████▋ | 56289/100000 [11:25:40<8:35:09, 1.41step/s] Training: 56%|█████▋ | 56290/100000 [11:25:41<8:46:11, 1.38step/s] Training: 56%|█████▋ | 56291/100000 [11:25:41<8:25:39, 1.44step/s] Training: 56%|█████▋ | 56292/100000 [11:25:42<8:09:35, 1.49step/s] Training: 56%|█████▋ | 56293/100000 [11:25:43<8:17:55, 1.46step/s] Training: 56%|█████▋ | 56294/100000 [11:25:43<8:25:58, 1.44step/s] Training: 56%|█████▋ | 56295/100000 [11:25:44<8:43:33, 1.39step/s] Training: 56%|█████▋ | 56296/100000 [11:25:45<8:57:51, 1.35step/s] Training: 56%|█████▋ | 56297/100000 [11:25:46<8:33:02, 1.42step/s] Training: 56%|█████▋ | 56298/100000 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1.36step/s]INFO 2026-03-12 14:51:38 ot_train.py:435 step:57K smpl:4M ep:12K epch:47.97 loss:0.057 grdn:4.204 lr:8.6e-06 updt_s:0.703 data_s:0.013 Training: 57%|█████▋ | 56601/100000 [11:29:23<8:58:26, 1.34step/s] Training: 57%|█████▋ | 56602/100000 [11:29:24<9:03:11, 1.33step/s] Training: 57%|█████▋ | 56603/100000 [11:29:24<8:38:44, 1.39step/s] Training: 57%|█████▋ | 56604/100000 [11:29:25<8:23:46, 1.44step/s] Training: 57%|█████▋ | 56605/100000 [11:29:26<8:35:28, 1.40step/s] Training: 57%|█████▋ | 56606/100000 [11:29:26<8:46:42, 1.37step/s] Training: 57%|█████▋ | 56607/100000 [11:29:27<8:53:02, 1.36step/s] Training: 57%|█████▋ | 56608/100000 [11:29:28<8:54:28, 1.35step/s] Training: 57%|█████▋ | 56609/100000 [11:29:29<8:58:27, 1.34step/s] Training: 57%|█████▋ | 56610/100000 [11:29:29<8:49:46, 1.37step/s] Training: 57%|█████▋ | 56611/100000 [11:29:30<8:22:46, 1.44step/s] Training: 57%|█████▋ | 56612/100000 [11:29:31<8:07:19, 1.48step/s] Training: 57%|█████▋ | 56613/100000 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Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 57%|█████▋ | 56641/100000 [11:29:56<24:21:18, 2.02s/step] Training: 57%|█████▋ | 56642/100000 [11:29:56<19:56:03, 1.66s/step] Training: 57%|█████▋ | 56643/100000 [11:29:57<16:18:06, 1.35s/step] Training: 57%|█████▋ | 56644/100000 [11:29:58<13:43:06, 1.14s/step] Training: 57%|█████▋ | 56645/100000 [11:29:59<12:43:07, 1.06s/step] Training: 57%|█████▋ | 56646/100000 [11:29:59<11:43:30, 1.03step/s] Training: 57%|█████▋ | 56647/100000 [11:30:00<10:24:52, 1.16step/s] Training: 57%|█████▋ | 56648/100000 [11:30:01<10:19:31, 1.17step/s] Training: 57%|█████▋ | 56649/100000 [11:30:02<10:01:32, 1.20step/s] Training: 57%|█████▋ | 56650/100000 [11:30:02<9:50:50, 1.22step/s] Training: 57%|█████▋ | 56651/100000 [11:30:03<9:05:28, 1.32step/s] Training: 57%|█████▋ | 56652/100000 [11:30:04<8:36:41, 1.40step/s] Training: 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Training: 57%|█████▋ | 57000/100000 [11:34:13<8:46:11, 1.36step/s]INFO 2026-03-12 14:56:29 ot_train.py:435 step:57K smpl:4M ep:12K epch:48.31 loss:0.053 grdn:4.337 lr:8.4e-06 updt_s:0.700 data_s:0.013 Training: 57%|█████▋ | 57001/100000 [11:34:14<8:55:48, 1.34step/s] Training: 57%|█████▋ | 57002/100000 [11:34:15<9:04:11, 1.32step/s] Training: 57%|█████▋ | 57003/100000 [11:34:16<9:09:42, 1.30step/s] Training: 57%|█████▋ | 57004/100000 [11:34:16<8:33:42, 1.39step/s] Training: 57%|█████▋ | 57005/100000 [11:34:17<8:30:16, 1.40step/s] Training: 57%|█████▋ | 57006/100000 [11:34:18<8:15:58, 1.44step/s] Training: 57%|█████▋ | 57007/100000 [11:34:18<8:33:51, 1.39step/s] Training: 57%|█████▋ | 57008/100000 [11:34:19<8:42:54, 1.37step/s] Training: 57%|█████▋ | 57009/100000 [11:34:20<8:53:01, 1.34step/s] Training: 57%|█████▋ | 57010/100000 [11:34:21<9:03:38, 1.32step/s] Training: 57%|█████▋ | 57011/100000 [11:34:21<8:52:11, 1.35step/s] Training: 57%|█████▋ | 57012/100000 [11:34:22<8:26:33, 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[11:34:33<8:43:02, 1.37step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=64658 Training: 57%|█████▋ | 57028/100000 [11:34:33<8:20:05, 1.43step/s] Training: 57%|█████▋ | 57029/100000 [11:34:34<8:20:36, 1.43step/s] Training: 57%|█████▋ | 57030/100000 [11:34:35<8:04:42, 1.48step/s] Training: 57%|█████▋ | 57031/100000 [11:34:35<8:23:06, 1.42step/s] Training: 57%|█████▋ | 57032/100000 [11:34:36<8:34:11, 1.39step/s] Training: 57%|█████▋ | 57033/100000 [11:34:37<8:46:18, 1.36step/s] Training: 57%|█████▋ | 57034/100000 [11:34:38<8:52:31, 1.34step/s] Training: 57%|█████▋ | 57035/100000 [11:34:38<8:22:30, 1.43step/s] Training: 57%|█████▋ | 57036/100000 [11:34:39<8:37:19, 1.38step/s] Training: 57%|█████▋ | 57037/100000 [11:34:40<8:33:50, 1.39step/s] Training: 57%|█████▋ | 57038/100000 [11:34:40<8:09:50, 1.46step/s] Training: 57%|█████▋ | 57039/100000 [11:34:41<8:25:01, 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[11:35:44<8:45:02, 1.36step/s] Training: 57%|█████▋ | 57127/100000 [11:35:45<8:46:12, 1.36step/s] Training: 57%|█████▋ | 57128/100000 [11:35:45<8:47:20, 1.35step/s] Training: 57%|█████▋ | 57129/100000 [11:35:46<8:53:37, 1.34step/s] Training: 57%|█████▋ | 57130/100000 [11:35:47<8:58:42, 1.33step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=15919 Training: 57%|█████▋ | 57131/100000 [11:35:47<8:31:21, 1.40step/s] Training: 57%|█████▋ | 57132/100000 [11:35:48<8:12:54, 1.45step/s] Training: 57%|█████▋ | 57133/100000 [11:35:49<8:15:36, 1.44step/s] Training: 57%|█████▋ | 57134/100000 [11:35:49<8:02:19, 1.48step/s] Training: 57%|█████▋ | 57135/100000 [11:35:50<8:25:56, 1.41step/s] Training: 57%|█████▋ | 57136/100000 [11:35:51<8:31:23, 1.40step/s] Training: 57%|█████▋ | 57137/100000 [11:35:52<8:35:40, 1.39step/s] Training: 57%|█████▋ | 57138/100000 [11:35:52<8:48:03, 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One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=15068 Training: 57%|█████▋ | 57299/100000 [11:37:47<9:25:43, 1.26step/s] Training: 57%|█████▋ | 57300/100000 [11:37:47<8:51:56, 1.34step/s]INFO 2026-03-12 15:00:03 ot_train.py:435 step:57K smpl:4M ep:12K epch:48.57 loss:0.057 grdn:4.036 lr:8.4e-06 updt_s:0.696 data_s:0.012 Training: 57%|█████▋ | 57301/100000 [11:37:48<8:48:20, 1.35step/s] Training: 57%|█████▋ | 57302/100000 [11:37:49<8:29:31, 1.40step/s] Training: 57%|█████▋ | 57303/100000 [11:37:49<8:29:45, 1.40step/s] Training: 57%|█████▋ | 57304/100000 [11:37:50<8:32:21, 1.39step/s] Training: 57%|█████▋ | 57305/100000 [11:37:51<8:46:08, 1.35step/s] Training: 57%|█████▋ | 57306/100000 [11:37:52<8:48:24, 1.35step/s] Training: 57%|█████▋ | 57307/100000 [11:37:53<9:05:28, 1.30step/s] Training: 57%|█████▋ | 57308/100000 [11:37:53<8:30:55, 1.39step/s] Training: 57%|█████▋ | 57309/100000 [11:37:54<8:34:28, 1.38step/s] 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Training: 57%|█████▋ | 57384/100000 [11:38:48<8:32:37, 1.39step/s] Training: 57%|█████▋ | 57385/100000 [11:38:48<8:45:24, 1.35step/s] Training: 57%|█████▋ | 57386/100000 [11:38:49<8:51:03, 1.34step/s] Training: 57%|█████▋ | 57387/100000 [11:38:50<8:28:35, 1.40step/s] Training: 57%|█████▋ | 57388/100000 [11:38:50<8:09:08, 1.45step/s] Training: 57%|█████▋ | 57389/100000 [11:38:51<8:18:05, 1.43step/s] Training: 57%|█████▋ | 57390/100000 [11:38:52<8:01:26, 1.48step/s] Training: 57%|█████▋ | 57391/100000 [11:38:53<8:08:03, 1.46step/s] Training: 57%|█████▋ | 57392/100000 [11:38:53<8:13:14, 1.44step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=50241 Training: 57%|█████▋ | 57393/100000 [11:38:54<8:18:30, 1.42step/s] Training: 57%|█████▋ | 57394/100000 [11:38:55<8:35:19, 1.38step/s] Training: 57%|█████▋ | 57395/100000 [11:38:55<8:17:00, 1.43step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=64658 Training: 57%|█████▋ | 57396/100000 [11:38:56<7:56:24, 1.49step/s] Training: 57%|█████▋ | 57397/100000 [11:38:57<8:18:20, 1.42step/s] Training: 57%|█████▋ | 57398/100000 [11:38:58<8:33:10, 1.38step/s] Training: 57%|█████▋ | 57399/100000 [11:38:58<8:32:23, 1.39step/s] Training: 57%|█████▋ | 57400/100000 [11:38:59<8:30:39, 1.39step/s]INFO 2026-03-12 15:01:15 ot_train.py:435 step:57K smpl:4M ep:13K epch:48.65 loss:0.053 grdn:4.300 lr:8.3e-06 updt_s:0.702 data_s:0.012 Training: 57%|█████▋ | 57401/100000 [11:39:00<8:44:02, 1.35step/s] Training: 57%|█████▋ | 57402/100000 [11:39:00<8:44:44, 1.35step/s] Training: 57%|█████▋ | 57403/100000 [11:39:01<8:16:26, 1.43step/s] Training: 57%|█████▋ | 57404/100000 [11:39:02<7:59:59, 1.48step/s] Training: 57%|█████▋ | 57405/100000 [11:39:03<8:20:50, 1.42step/s] Training: 57%|█████▋ | 57406/100000 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1.38step/s] Training: 57%|█████▋ | 57466/100000 [11:39:46<8:42:45, 1.36step/s] Training: 57%|█████▋ | 57467/100000 [11:39:47<8:19:47, 1.42step/s] Training: 57%|█████▋ | 57468/100000 [11:39:47<8:03:36, 1.47step/s] Training: 57%|█████▋ | 57469/100000 [11:39:48<7:53:49, 1.50step/s] Training: 57%|█████▋ | 57470/100000 [11:39:49<8:15:53, 1.43step/s] Training: 57%|█████▋ | 57471/100000 [11:39:50<8:32:04, 1.38step/s] Training: 57%|█████▋ | 57472/100000 [11:39:50<8:37:32, 1.37step/s] Training: 57%|█████▋ | 57473/100000 [11:39:51<8:45:08, 1.35step/s] Training: 57%|█████▋ | 57474/100000 [11:39:52<8:39:07, 1.37step/s] Training: 57%|█████▋ | 57475/100000 [11:39:52<8:14:06, 1.43step/s] Training: 57%|█████▋ | 57476/100000 [11:39:53<7:57:55, 1.48step/s] Training: 57%|█████▋ | 57477/100000 [11:39:54<7:45:36, 1.52step/s] Training: 57%|█████▋ | 57478/100000 [11:39:54<7:59:49, 1.48step/s] Training: 57%|█████▋ | 57479/100000 [11:39:55<8:17:41, 1.42step/s] Training: 57%|█████▋ | 57480/100000 [11:39:56<8:44:24, 1.35step/s] Training: 57%|█████▋ | 57481/100000 [11:39:57<8:45:51, 1.35step/s] Training: 57%|█████▋ | 57482/100000 [11:39:57<8:54:14, 1.33step/s] Training: 57%|█████▋ | 57483/100000 [11:39:58<8:27:52, 1.40step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=55659 Training: 57%|█████▋ | 57484/100000 [11:39:59<8:04:19, 1.46step/s] Training: 57%|█████▋ | 57485/100000 [11:39:59<7:56:27, 1.49step/s] Training: 57%|█████▋ | 57486/100000 [11:40:00<8:15:41, 1.43step/s] Training: 57%|█████▋ | 57487/100000 [11:40:01<8:19:47, 1.42step/s] Training: 57%|█████▋ | 57488/100000 [11:40:02<8:39:05, 1.36step/s] Training: 57%|█████▋ | 57489/100000 [11:40:02<8:38:30, 1.37step/s] Training: 57%|█████▋ | 57490/100000 [11:40:03<8:55:05, 1.32step/s] Training: 57%|█████▋ | 57491/100000 [11:40:04<8:27:51, 1.40step/s] Training: 57%|█████▋ | 57492/100000 [11:40:04<8:08:00, 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Training: 58%|█████▊ | 57795/100000 [11:43:41<8:22:02, 1.40step/s] Training: 58%|█████▊ | 57796/100000 [11:43:42<8:05:00, 1.45step/s] Training: 58%|█████▊ | 57797/100000 [11:43:42<7:46:34, 1.51step/s] Training: 58%|█████▊ | 57798/100000 [11:43:43<7:52:37, 1.49step/s] Training: 58%|█████▊ | 57799/100000 [11:43:44<8:09:50, 1.44step/s] Training: 58%|█████▊ | 57800/100000 [11:43:44<8:19:53, 1.41step/s]INFO 2026-03-12 15:06:00 ot_train.py:435 step:58K smpl:4M ep:13K epch:48.99 loss:0.054 grdn:4.749 lr:8.2e-06 updt_s:0.697 data_s:0.012 Training: 58%|█████▊ | 57801/100000 [11:43:45<8:37:07, 1.36step/s] Training: 58%|█████▊ | 57802/100000 [11:43:46<8:42:23, 1.35step/s] Training: 58%|█████▊ | 57803/100000 [11:43:47<8:18:39, 1.41step/s] Training: 58%|█████▊ | 57804/100000 [11:43:47<7:56:17, 1.48step/s] Training: 58%|█████▊ | 57805/100000 [11:43:48<7:38:23, 1.53step/s] Training: 58%|█████▊ | 57806/100000 [11:43:49<7:48:23, 1.50step/s] Training: 58%|█████▊ | 57807/100000 [11:43:49<7:46:30, 1.51step/s] Training: 58%|█████▊ | 57808/100000 [11:43:50<7:46:22, 1.51step/s] Training: 58%|█████▊ | 57809/100000 [11:43:51<7:48:17, 1.50step/s] Training: 58%|█████▊ | 57810/100000 [11:43:51<8:00:23, 1.46step/s] Training: 58%|█████▊ | 57811/100000 [11:43:52<7:41:53, 1.52step/s] Training: 58%|█████▊ | 57812/100000 [11:43:53<7:35:32, 1.54step/s] Training: 58%|█████▊ | 57813/100000 [11:43:53<7:31:44, 1.56step/s] Training: 58%|█████▊ | 57814/100000 [11:43:54<7:46:17, 1.51step/s] Training: 58%|█████▊ | 57815/100000 [11:43:55<7:45:51, 1.51step/s] Training: 58%|█████▊ | 57816/100000 [11:43:55<7:42:57, 1.52step/s] Training: 58%|█████▊ | 57817/100000 [11:43:56<7:52:54, 1.49step/s] Training: 58%|█████▊ | 57818/100000 [11:43:57<8:06:28, 1.45step/s] Training: 58%|█████▊ | 57819/100000 [11:43:57<7:53:44, 1.48step/s] Training: 58%|█████▊ | 57820/100000 [11:43:59<13:15:07, 1.13s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 58%|█████▊ | 57821/100000 [11:44:03<23:32:39, 2.01s/step] Training: 58%|█████▊ | 57822/100000 [11:44:04<19:21:03, 1.65s/step] Training: 58%|█████▊ | 57823/100000 [11:44:05<16:32:50, 1.41s/step] Training: 58%|█████▊ | 57824/100000 [11:44:06<14:25:19, 1.23s/step] Training: 58%|█████▊ | 57825/100000 [11:44:07<13:07:24, 1.12s/step] Training: 58%|█████▊ | 57826/100000 [11:44:08<12:06:01, 1.03s/step] Training: 58%|█████▊ | 57827/100000 [11:44:08<10:40:10, 1.10step/s] Training: 58%|█████▊ | 57828/100000 [11:44:09<9:40:31, 1.21step/s] Training: 58%|█████▊ | 57829/100000 [11:44:10<8:58:32, 1.31step/s] Training: 58%|█████▊ | 57830/100000 [11:44:10<8:59:11, 1.30step/s] Training: 58%|█████▊ | 57831/100000 [11:44:11<8:59:51, 1.30step/s] Training: 58%|█████▊ | 57832/100000 [11:44:12<9:00:09, 1.30step/s] Training: 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[11:48:13<8:20:43, 1.39step/s] Training: 58%|█████▊ | 58168/100000 [11:48:13<8:20:07, 1.39step/s] Training: 58%|█████▊ | 58169/100000 [11:48:14<8:29:00, 1.37step/s] Training: 58%|█████▊ | 58170/100000 [11:48:15<8:39:10, 1.34step/s] Training: 58%|█████▊ | 58171/100000 [11:48:16<8:49:03, 1.32step/s] Training: 58%|█████▊ | 58172/100000 [11:48:16<8:20:12, 1.39step/s] Training: 58%|█████▊ | 58173/100000 [11:48:17<8:02:04, 1.45step/s] Training: 58%|█████▊ | 58174/100000 [11:48:18<8:12:42, 1.41step/s] Training: 58%|█████▊ | 58175/100000 [11:48:18<8:22:09, 1.39step/s] Training: 58%|█████▊ | 58176/100000 [11:48:19<8:30:37, 1.37step/s] Training: 58%|█████▊ | 58177/100000 [11:48:20<8:34:15, 1.36step/s] Training: 58%|█████▊ | 58178/100000 [11:48:21<8:39:19, 1.34step/s] Training: 58%|█████▊ | 58179/100000 [11:48:21<8:35:12, 1.35step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=27708 Training: 58%|█████▊ | 58180/100000 [11:48:22<8:10:25, 1.42step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=27708 Training: 58%|█████▊ | 58181/100000 [11:48:23<7:53:42, 1.47step/s] Training: 58%|█████▊ | 58182/100000 [11:48:23<7:38:17, 1.52step/s] Training: 58%|█████▊ | 58183/100000 [11:48:24<8:28:02, 1.37step/s] Training: 58%|█████▊ | 58184/100000 [11:48:25<8:36:42, 1.35step/s] Training: 58%|█████▊ | 58185/100000 [11:48:26<8:47:20, 1.32step/s] Training: 58%|█████▊ | 58186/100000 [11:48:26<8:50:17, 1.31step/s] Training: 58%|█████▊ | 58187/100000 [11:48:27<8:17:45, 1.40step/s] Training: 58%|█████▊ | 58188/100000 [11:48:28<8:31:35, 1.36step/s] Training: 58%|█████▊ | 58189/100000 [11:48:28<8:07:34, 1.43step/s] Training: 58%|█████▊ | 58190/100000 [11:48:29<8:23:14, 1.38step/s] Training: 58%|█████▊ | 58191/100000 [11:48:30<8:35:35, 1.35step/s] Training: 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1.40step/s] Training: 59%|█████▉ | 58896/100000 [11:56:59<8:24:08, 1.36step/s] Training: 59%|█████▉ | 58897/100000 [11:57:00<8:17:00, 1.38step/s] Training: 59%|█████▉ | 58898/100000 [11:57:01<8:10:24, 1.40step/s] Training: 59%|█████▉ | 58899/100000 [11:57:01<8:04:06, 1.41step/s] Training: 59%|█████▉ | 58900/100000 [11:57:02<7:48:43, 1.46step/s]INFO 2026-03-12 15:19:18 ot_train.py:435 step:59K smpl:4M ep:13K epch:49.92 loss:0.052 grdn:4.566 lr:7.9e-06 updt_s:0.708 data_s:0.013 Training: 59%|█████▉ | 58901/100000 [11:57:03<8:10:48, 1.40step/s] Training: 59%|█████▉ | 58902/100000 [11:57:04<8:20:43, 1.37step/s] Training: 59%|█████▉ | 58903/100000 [11:57:04<8:24:13, 1.36step/s] Training: 59%|█████▉ | 58904/100000 [11:57:05<8:23:00, 1.36step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=4948 Training: 59%|█████▉ | 58905/100000 [11:57:06<8:29:04, 1.35step/s] Training: 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1.39step/s] Training: 59%|█████▉ | 58936/100000 [11:57:28<8:14:42, 1.38step/s] Training: 59%|█████▉ | 58937/100000 [11:57:29<8:23:41, 1.36step/s] Training: 59%|█████▉ | 58938/100000 [11:57:29<8:37:23, 1.32step/s] Training: 59%|█████▉ | 58939/100000 [11:57:30<8:07:29, 1.40step/s] Training: 59%|█████▉ | 58940/100000 [11:57:31<7:54:45, 1.44step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=27708 Training: 59%|█████▉ | 58941/100000 [11:57:32<8:13:45, 1.39step/s] Training: 59%|█████▉ | 58942/100000 [11:57:32<8:27:37, 1.35step/s] Training: 59%|█████▉ | 58943/100000 [11:57:33<8:34:56, 1.33step/s] Training: 59%|█████▉ | 58944/100000 [11:57:34<8:35:06, 1.33step/s] Training: 59%|█████▉ | 58945/100000 [11:57:35<8:33:33, 1.33step/s] Training: 59%|█████▉ | 58946/100000 [11:57:35<8:57:21, 1.27step/s] Training: 59%|█████▉ | 58947/100000 [11:57:36<8:27:07, 1.35step/s] Training: 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Training: 59%|█████▉ | 58963/100000 [11:57:47<7:55:18, 1.44step/s] Training: 59%|█████▉ | 58964/100000 [11:57:48<7:41:17, 1.48step/s] Training: 59%|█████▉ | 58965/100000 [11:57:49<7:54:58, 1.44step/s] Training: 59%|█████▉ | 58966/100000 [11:57:50<8:11:49, 1.39step/s] Training: 59%|█████▉ | 58967/100000 [11:57:50<8:09:33, 1.40step/s] Training: 59%|█████▉ | 58968/100000 [11:57:51<7:54:28, 1.44step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=4948 Training: 59%|█████▉ | 58969/100000 [11:57:52<8:16:58, 1.38step/s] Training: 59%|█████▉ | 58970/100000 [11:57:52<8:22:55, 1.36step/s] Training: 59%|█████▉ | 58971/100000 [11:57:53<7:56:09, 1.44step/s] Training: 59%|█████▉ | 58972/100000 [11:57:54<7:42:57, 1.48step/s] Training: 59%|█████▉ | 58973/100000 [11:57:54<7:51:28, 1.45step/s] Training: 59%|█████▉ | 58974/100000 [11:57:55<8:06:34, 1.41step/s] Training: 59%|█████▉ | 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59%|█████▉ | 58990/100000 [11:58:06<7:34:38, 1.50step/s] Training: 59%|█████▉ | 58991/100000 [11:58:07<7:33:01, 1.51step/s] Training: 59%|█████▉ | 58992/100000 [11:58:07<7:25:24, 1.53step/s] Training: 59%|█████▉ | 58993/100000 [11:58:08<7:27:54, 1.53step/s] Training: 59%|█████▉ | 58994/100000 [11:58:09<7:52:04, 1.45step/s] Training: 59%|█████▉ | 58995/100000 [11:58:09<7:38:25, 1.49step/s] Training: 59%|█████▉ | 58996/100000 [11:58:10<7:23:02, 1.54step/s] Training: 59%|█████▉ | 58997/100000 [11:58:11<7:35:44, 1.50step/s] Training: 59%|█████▉ | 58998/100000 [11:58:11<7:44:24, 1.47step/s] Training: 59%|█████▉ | 58999/100000 [11:58:12<7:45:26, 1.47step/s] Training: 59%|█████▉ | 59000/100000 [11:58:14<12:40:28, 1.11s/step]INFO 2026-03-12 15:20:30 ot_train.py:435 step:59K smpl:4M ep:13K epch:50.01 loss:0.055 grdn:4.132 lr:7.9e-06 updt_s:0.694 data_s:0.028 huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 59%|█████▉ | 59001/100000 [11:58:18<23:13:57, 2.04s/step] Training: 59%|█████▉ | 59002/100000 [11:58:19<19:11:20, 1.68s/step] Training: 59%|█████▉ | 59003/100000 [11:58:20<16:25:50, 1.44s/step] Training: 59%|█████▉ | 59004/100000 [11:58:21<13:38:36, 1.20s/step] Training: 59%|█████▉ | 59005/100000 [11:58:22<12:09:51, 1.07s/step] Training: 59%|█████▉ | 59006/100000 [11:58:22<11:11:33, 1.02step/s] Training: 59%|█████▉ | 59007/100000 [11:58:23<10:34:36, 1.08step/s] Training: 59%|█████▉ | 59008/100000 [11:58:24<9:33:47, 1.19step/s] Training: 59%|█████▉ | 59009/100000 [11:58:25<9:23:04, 1.21step/s] Training: 59%|█████▉ | 59010/100000 [11:58:25<9:06:39, 1.25step/s] Training: 59%|█████▉ | 59011/100000 [11:58:26<9:03:31, 1.26step/s] Training: 59%|█████▉ | 59012/100000 [11:58:27<8:29:52, 1.34step/s] Training: 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1.39step/s] Training: 59%|█████▉ | 59043/100000 [11:58:49<8:24:44, 1.35step/s] Training: 59%|█████▉ | 59044/100000 [11:58:50<8:01:13, 1.42step/s] Training: 59%|█████▉ | 59045/100000 [11:58:51<8:08:35, 1.40step/s] Training: 59%|█████▉ | 59046/100000 [11:58:52<8:27:46, 1.34step/s] Training: 59%|█████▉ | 59047/100000 [11:58:52<8:35:33, 1.32step/s] Training: 59%|█████▉ | 59048/100000 [11:58:53<8:10:15, 1.39step/s] Training: 59%|█████▉ | 59049/100000 [11:58:54<8:16:43, 1.37step/s] Training: 59%|█████▉ | 59050/100000 [11:58:55<8:28:08, 1.34step/s] Training: 59%|█████▉ | 59051/100000 [11:58:55<8:42:42, 1.31step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=12808 [Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=55468 Training: 59%|█████▉ | 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59297/100000 [12:01:55<8:12:02, 1.38step/s] Training: 59%|█████▉ | 59298/100000 [12:01:56<8:08:00, 1.39step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=10281 Training: 59%|█████▉ | 59299/100000 [12:01:56<8:09:26, 1.39step/s] Training: 59%|█████▉ | 59300/100000 [12:01:57<7:54:01, 1.43step/s]INFO 2026-03-12 15:24:13 ot_train.py:435 step:59K smpl:4M ep:13K epch:50.26 loss:0.054 grdn:4.211 lr:7.8e-06 updt_s:0.712 data_s:0.013 Training: 59%|█████▉ | 59301/100000 [12:01:58<7:59:35, 1.41step/s] Training: 59%|█████▉ | 59302/100000 [12:01:59<8:02:25, 1.41step/s] Training: 59%|█████▉ | 59303/100000 [12:01:59<8:21:27, 1.35step/s] Training: 59%|█████▉ | 59304/100000 [12:02:00<7:56:04, 1.42step/s] Training: 59%|█████▉ | 59305/100000 [12:02:01<8:14:08, 1.37step/s] Training: 59%|█████▉ | 59306/100000 [12:02:02<8:19:45, 1.36step/s] Training: 59%|█████▉ | 59307/100000 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Training: 60%|█████▉ | 59986/100000 [12:10:12<7:49:21, 1.42step/s] Training: 60%|█████▉ | 59987/100000 [12:10:13<7:33:57, 1.47step/s] Training: 60%|█████▉ | 59988/100000 [12:10:14<7:40:51, 1.45step/s] Training: 60%|█████▉ | 59989/100000 [12:10:14<7:53:01, 1.41step/s] Training: 60%|█████▉ | 59990/100000 [12:10:15<7:35:44, 1.46step/s] Training: 60%|█████▉ | 59991/100000 [12:10:16<7:56:10, 1.40step/s] Training: 60%|█████▉ | 59992/100000 [12:10:16<7:40:45, 1.45step/s] Training: 60%|█████▉ | 59993/100000 [12:10:17<7:26:51, 1.49step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=10281 Training: 60%|█████▉ | 59994/100000 [12:10:18<7:40:18, 1.45step/s] Training: 60%|█████▉ | 59995/100000 [12:10:18<7:30:32, 1.48step/s] Training: 60%|█████▉ | 59996/100000 [12:10:19<7:48:48, 1.42step/s] Training: 60%|█████▉ | 59997/100000 [12:10:20<7:48:21, 1.42step/s] Training: 60%|█████▉ | 59998/100000 [12:10:21<8:03:11, 1.38step/s] Training: 60%|█████▉ | 59999/100000 [12:10:22<8:12:16, 1.35step/s] Training: 60%|██████ | 60000/100000 [12:10:22<7:53:10, 1.41step/s]INFO 2026-03-12 15:32:38 ot_train.py:435 step:60K smpl:4M ep:13K epch:50.86 loss:0.053 grdn:4.208 lr:7.6e-06 updt_s:0.687 data_s:0.012 INFO 2026-03-12 15:32:38 ot_train.py:455 Checkpoint policy after step 60000 [Avatar] Pushing checkpoint (step 60000) to avatarrobotics/pi0fast-orange-hook-right-b64-20260312-0320... 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4.44GB / 5.85GB, 160MB/s New Data Upload : 98%|█████████▊| 4.39GB / 4.49GB, 160MB/s  ...12-0320/model.safetensors: 76%|███████▋ | 4.47GB / 5.85GB  Processing Files (0 / 1) : 76%|███████▋ | 4.47GB / 5.85GB, 160MB/s New Data Upload : 97%|█████████▋| 4.43GB / 4.56GB, 160MB/s  ...12-0320/model.safetensors: 77%|███████▋ | 4.48GB / 5.85GB  Processing Files (0 / 1) : 77%|███████▋ | 4.48GB / 5.85GB, 157MB/s New Data Upload : 97%|█████████▋| 4.44GB / 4.56GB, 157MB/s  ...12-0320/model.safetensors: 77%|███████▋ | 4.51GB / 5.85GB  Processing Files (0 / 1) : 77%|███████▋ | 4.51GB / 5.85GB, 157MB/s New Data Upload : 97%|█████████▋| 4.47GB / 4.63GB, 157MB/s  ...12-0320/model.safetensors: 78%|███████▊ | 4.56GB / 5.85GB  Processing Files (0 / 1) : 78%|███████▊ | 4.56GB / 5.85GB, 159MB/s New Data Upload : 98%|█████████▊| 4.52GB / 4.63GB, 159MB/s  ...12-0320/model.safetensors: 78%|███████▊ | 4.59GB / 5.85GB  Processing Files (0 / 1) : 78%|███████▊ | 4.59GB / 5.85GB, 160MB/s New Data Upload : 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60099/100000 [12:12:43<7:38:58, 1.45step/s] Training: 60%|██████ | 60100/100000 [12:12:44<7:51:09, 1.41step/s]INFO 2026-03-12 15:35:00 ot_train.py:435 step:60K smpl:4M ep:13K epch:50.94 loss:0.052 grdn:4.572 lr:7.6e-06 updt_s:0.697 data_s:0.012 Training: 60%|██████ | 60101/100000 [12:12:45<7:57:23, 1.39step/s] Training: 60%|██████ | 60102/100000 [12:12:45<8:09:20, 1.36step/s] Training: 60%|██████ | 60103/100000 [12:12:46<8:14:19, 1.35step/s] Training: 60%|██████ | 60104/100000 [12:12:47<8:22:22, 1.32step/s] Training: 60%|██████ | 60105/100000 [12:12:48<7:58:23, 1.39step/s] Training: 60%|██████ | 60106/100000 [12:12:48<8:06:02, 1.37step/s] Training: 60%|██████ | 60107/100000 [12:12:49<7:41:01, 1.44step/s] Training: 60%|██████ | 60108/100000 [12:12:50<7:45:10, 1.43step/s] Training: 60%|██████ | 60109/100000 [12:12:50<7:45:43, 1.43step/s] Training: 60%|██████ | 60110/100000 [12:12:51<8:05:07, 1.37step/s] Training: 60%|██████ | 60111/100000 [12:12:52<8:09:46, 1.36step/s] Training: 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1.47step/s] Training: 60%|██████ | 60169/100000 [12:13:34<7:14:17, 1.53step/s] Training: 60%|██████ | 60170/100000 [12:13:35<7:13:35, 1.53step/s] Training: 60%|██████ | 60171/100000 [12:13:35<7:21:08, 1.50step/s] Training: 60%|██████ | 60172/100000 [12:13:36<7:19:23, 1.51step/s] Training: 60%|██████ | 60173/100000 [12:13:37<7:21:22, 1.50step/s] Training: 60%|██████ | 60174/100000 [12:13:37<7:31:45, 1.47step/s] Training: 60%|██████ | 60175/100000 [12:13:38<7:40:02, 1.44step/s] Training: 60%|██████ | 60176/100000 [12:13:39<7:28:35, 1.48step/s] Training: 60%|██████ | 60177/100000 [12:13:39<7:19:03, 1.51step/s] Training: 60%|██████ | 60178/100000 [12:13:40<7:22:39, 1.50step/s] Training: 60%|██████ | 60179/100000 [12:13:41<7:29:39, 1.48step/s] Training: 60%|██████ | 60180/100000 [12:13:43<13:15:59, 1.20s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 60%|██████ | 60181/100000 [12:13:47<23:03:26, 2.08s/step] Training: 60%|██████ | 60182/100000 [12:13:48<18:50:02, 1.70s/step] Training: 60%|██████ | 60183/100000 [12:13:49<15:40:33, 1.42s/step] Training: 60%|██████ | 60184/100000 [12:13:50<13:37:32, 1.23s/step] Training: 60%|██████ | 60185/100000 [12:13:50<11:38:25, 1.05s/step] Training: 60%|██████ | 60186/100000 [12:13:51<10:12:45, 1.08step/s] Training: 60%|██████ | 60187/100000 [12:13:52<9:56:10, 1.11step/s] Training: 60%|██████ | 60188/100000 [12:13:53<9:36:27, 1.15step/s] Training: 60%|██████ | 60189/100000 [12:13:53<9:13:48, 1.20step/s] Training: 60%|██████ | 60190/100000 [12:13:54<9:00:59, 1.23step/s] Training: 60%|██████ | 60191/100000 [12:13:55<8:42:10, 1.27step/s] Training: 60%|██████ | 60192/100000 [12:13:56<8:33:24, 1.29step/s] Training: 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15:42:20 ot_train.py:435 step:61K smpl:4M ep:13K epch:51.45 loss:0.051 grdn:4.788 lr:7.4e-06 updt_s:0.711 data_s:0.013 Training: 61%|██████ | 60701/100000 [12:20:05<7:49:53, 1.39step/s] Training: 61%|██████ | 60702/100000 [12:20:06<7:52:06, 1.39step/s] Training: 61%|██████ | 60703/100000 [12:20:06<7:58:04, 1.37step/s] Training: 61%|██████ | 60704/100000 [12:20:07<8:05:30, 1.35step/s] Training: 61%|██████ | 60705/100000 [12:20:08<8:01:18, 1.36step/s] Training: 61%|██████ | 60706/100000 [12:20:09<7:39:51, 1.42step/s] Training: 61%|██████ | 60707/100000 [12:20:09<7:25:09, 1.47step/s] Training: 61%|██████ | 60708/100000 [12:20:10<7:41:03, 1.42step/s] Training: 61%|██████ | 60709/100000 [12:20:11<7:45:25, 1.41step/s] Training: 61%|██████ | 60710/100000 [12:20:11<8:03:07, 1.36step/s] Training: 61%|██████ | 60711/100000 [12:20:12<8:07:07, 1.34step/s] Training: 61%|██████ | 60712/100000 [12:20:13<8:01:13, 1.36step/s] Training: 61%|██████ | 60713/100000 [12:20:14<7:40:18, 1.42step/s] Training: 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1.35step/s] Training: 61%|██████ | 60744/100000 [12:20:36<8:01:18, 1.36step/s] Training: 61%|██████ | 60745/100000 [12:20:37<7:40:36, 1.42step/s] Training: 61%|██████ | 60746/100000 [12:20:37<7:24:16, 1.47step/s] Training: 61%|██████ | 60747/100000 [12:20:38<7:41:41, 1.42step/s] Training: 61%|██████ | 60748/100000 [12:20:39<7:44:05, 1.41step/s] Training: 61%|██████ | 60749/100000 [12:20:40<7:43:21, 1.41step/s] Training: 61%|██████ | 60750/100000 [12:20:40<7:59:14, 1.37step/s] Training: 61%|██████ | 60751/100000 [12:20:41<8:06:57, 1.34step/s] Training: 61%|██████ | 60752/100000 [12:20:42<7:47:14, 1.40step/s] Training: 61%|██████ | 60753/100000 [12:20:43<7:49:00, 1.39step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=42136 Training: 61%|██████ | 60754/100000 [12:20:43<7:31:17, 1.45step/s] Training: 61%|██████ | 60755/100000 [12:20:44<7:48:12, 1.40step/s] Training: 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Training: 61%|██████ | 60798/100000 [12:21:15<8:00:22, 1.36step/s] Training: 61%|██████ | 60799/100000 [12:21:16<8:15:54, 1.32step/s] Training: 61%|██████ | 60800/100000 [12:21:17<8:19:25, 1.31step/s]INFO 2026-03-12 15:43:32 ot_train.py:435 step:61K smpl:4M ep:13K epch:51.53 loss:0.052 grdn:4.138 lr:7.4e-06 updt_s:0.709 data_s:0.012 Training: 61%|██████ | 60801/100000 [12:21:17<7:55:34, 1.37step/s] Training: 61%|██████ | 60802/100000 [12:21:18<7:31:39, 1.45step/s] Training: 61%|██████ | 60803/100000 [12:21:18<7:19:08, 1.49step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=34555 Training: 61%|██████ | 60804/100000 [12:21:19<7:46:49, 1.40step/s] Training: 61%|██████ | 60805/100000 [12:21:20<7:49:27, 1.39step/s] Training: 61%|██████ | 60806/100000 [12:21:21<7:32:18, 1.44step/s] Training: 61%|██████ | 60807/100000 [12:21:21<8:03:29, 1.35step/s] Training: 61%|██████ 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61140/100000 [12:25:20<7:24:08, 1.46step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=58435 Training: 61%|██████ | 61141/100000 [12:25:20<7:35:17, 1.42step/s] Training: 61%|██████ | 61142/100000 [12:25:21<7:48:55, 1.38step/s] Training: 61%|██████ | 61143/100000 [12:25:22<7:50:45, 1.38step/s] Training: 61%|██████ | 61144/100000 [12:25:23<7:56:18, 1.36step/s] Training: 61%|██████ | 61145/100000 [12:25:23<7:36:14, 1.42step/s] Training: 61%|██████ | 61146/100000 [12:25:24<7:20:51, 1.47step/s] Training: 61%|██████ | 61147/100000 [12:25:25<7:06:49, 1.52step/s] Training: 61%|██████ | 61148/100000 [12:25:25<7:23:00, 1.46step/s] Training: 61%|██████ | 61149/100000 [12:25:26<7:38:54, 1.41step/s] Training: 61%|██████ | 61150/100000 [12:25:27<7:52:49, 1.37step/s] Training: 61%|██████ | 61151/100000 [12:25:28<7:59:37, 1.35step/s] Training: 61%|██████ | 61152/100000 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1.34step/s] Training: 61%|██████▏ | 61281/100000 [12:27:00<8:03:17, 1.34step/s] Training: 61%|██████▏ | 61282/100000 [12:27:01<7:36:40, 1.41step/s] Training: 61%|██████▏ | 61283/100000 [12:27:01<7:17:52, 1.47step/s] Training: 61%|██████▏ | 61284/100000 [12:27:02<7:26:11, 1.45step/s] Training: 61%|██████▏ | 61285/100000 [12:27:02<7:16:29, 1.48step/s] Training: 61%|██████▏ | 61286/100000 [12:27:03<7:38:51, 1.41step/s] Training: 61%|██████▏ | 61287/100000 [12:27:04<7:48:20, 1.38step/s] Training: 61%|██████▏ | 61288/100000 [12:27:05<7:53:02, 1.36step/s] Training: 61%|██████▏ | 61289/100000 [12:27:05<7:32:47, 1.42step/s] Training: 61%|██████▏ | 61290/100000 [12:27:06<7:47:42, 1.38step/s] Training: 61%|██████▏ | 61291/100000 [12:27:07<7:31:22, 1.43step/s] Training: 61%|██████▏ | 61292/100000 [12:27:08<7:32:50, 1.42step/s] Training: 61%|██████▏ | 61293/100000 [12:27:08<7:21:20, 1.46step/s] Training: 61%|██████▏ | 61294/100000 [12:27:09<7:36:02, 1.41step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=70969 Training: 61%|██████▏ | 61295/100000 [12:27:10<7:44:06, 1.39step/s] Training: 61%|██████▏ | 61296/100000 [12:27:10<7:48:13, 1.38step/s] Training: 61%|██████▏ | 61297/100000 [12:27:11<7:31:15, 1.43step/s] Training: 61%|██████▏ | 61298/100000 [12:27:12<7:48:06, 1.38step/s] Training: 61%|██████▏ | 61299/100000 [12:27:12<7:28:28, 1.44step/s] Training: 61%|██████▏ | 61300/100000 [12:27:13<7:36:10, 1.41step/s]INFO 2026-03-12 15:49:29 ot_train.py:435 step:61K smpl:4M ep:13K epch:51.96 loss:0.048 grdn:3.862 lr:7.2e-06 updt_s:0.693 data_s:0.012 Training: 61%|██████▏ | 61301/100000 [12:27:14<7:20:02, 1.47step/s] Training: 61%|██████▏ | 61302/100000 [12:27:15<7:31:56, 1.43step/s] Training: 61%|██████▏ | 61303/100000 [12:27:15<7:47:20, 1.38step/s] Training: 61%|██████▏ | 61304/100000 [12:27:16<8:01:56, 1.34step/s] Training: 61%|██████▏ | 61305/100000 [12:27:17<7:39:12, 1.40step/s] Training: 61%|██████▏ | 61306/100000 [12:27:18<7:56:45, 1.35step/s] Training: 61%|██████▏ | 61307/100000 [12:27:18<7:30:37, 1.43step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=57215 Training: 61%|██████▏ | 61308/100000 [12:27:19<7:41:59, 1.40step/s] Training: 61%|██████▏ | 61309/100000 [12:27:20<7:23:48, 1.45step/s] Training: 61%|██████▏ | 61310/100000 [12:27:20<7:40:12, 1.40step/s] Training: 61%|██████▏ | 61311/100000 [12:27:21<7:47:22, 1.38step/s] Training: 61%|██████▏ | 61312/100000 [12:27:22<7:52:14, 1.37step/s] Training: 61%|██████▏ | 61313/100000 [12:27:23<7:34:06, 1.42step/s] Training: 61%|██████▏ | 61314/100000 [12:27:23<7:47:20, 1.38step/s] Training: 61%|██████▏ | 61315/100000 [12:27:24<7:27:12, 1.44step/s] Training: 61%|██████▏ | 61316/100000 [12:27:25<7:42:02, 1.40step/s] Training: 61%|██████▏ | 61317/100000 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1.51step/s] Training: 61%|██████▏ | 61347/100000 [12:27:47<7:18:42, 1.47step/s] Training: 61%|██████▏ | 61348/100000 [12:27:47<7:13:45, 1.49step/s] Training: 61%|██████▏ | 61349/100000 [12:27:48<6:58:38, 1.54step/s] Training: 61%|██████▏ | 61350/100000 [12:27:49<6:59:45, 1.53step/s] Training: 61%|██████▏ | 61351/100000 [12:27:49<7:14:48, 1.48step/s] Training: 61%|██████▏ | 61352/100000 [12:27:50<7:19:53, 1.46step/s] Training: 61%|██████▏ | 61353/100000 [12:27:51<7:02:53, 1.52step/s] Training: 61%|██████▏ | 61354/100000 [12:27:51<6:49:58, 1.57step/s] Training: 61%|██████▏ | 61355/100000 [12:27:52<6:58:12, 1.54step/s] Training: 61%|██████▏ | 61356/100000 [12:27:53<6:59:00, 1.54step/s] Training: 61%|██████▏ | 61357/100000 [12:27:53<6:48:17, 1.58step/s] Training: 61%|██████▏ | 61358/100000 [12:27:54<7:08:28, 1.50step/s] Training: 61%|██████▏ | 61359/100000 [12:27:55<7:17:27, 1.47step/s] Training: 61%|██████▏ | 61360/100000 [12:27:57<11:52:34, 1.11s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) [Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=8190 Training: 61%|██████▏ | 61361/100000 [12:28:01<21:23:11, 1.99s/step] Training: 61%|██████▏ | 61362/100000 [12:28:01<17:04:03, 1.59s/step] Training: 61%|██████▏ | 61363/100000 [12:28:02<13:58:26, 1.30s/step] Training: 61%|██████▏ | 61364/100000 [12:28:03<12:28:38, 1.16s/step] Training: 61%|██████▏ | 61365/100000 [12:28:03<10:47:48, 1.01s/step] Training: 61%|██████▏ | 61366/100000 [12:28:04<10:04:34, 1.07step/s] Training: 61%|██████▏ | 61367/100000 [12:28:05<9:43:57, 1.10step/s] Training: 61%|██████▏ | 61368/100000 [12:28:06<9:27:17, 1.13step/s] Training: 61%|██████▏ | 61369/100000 [12:28:07<8:34:37, 1.25step/s] Training: 61%|██████▏ | 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1.34step/s]INFO 2026-03-12 15:53:06 ot_train.py:435 step:62K smpl:4M ep:13K epch:52.21 loss:0.048 grdn:3.964 lr:7.1e-06 updt_s:0.695 data_s:0.013 Training: 62%|██████▏ | 61601/100000 [12:30:50<7:31:11, 1.42step/s] Training: 62%|██████▏ | 61602/100000 [12:30:51<7:16:27, 1.47step/s] Training: 62%|██████▏ | 61603/100000 [12:30:52<7:39:58, 1.39step/s] Training: 62%|██████▏ | 61604/100000 [12:30:53<7:46:07, 1.37step/s] Training: 62%|██████▏ | 61605/100000 [12:30:53<7:26:11, 1.43step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=19714 Training: 62%|██████▏ | 61606/100000 [12:30:54<7:32:52, 1.41step/s] Training: 62%|██████▏ | 61607/100000 [12:30:55<7:46:05, 1.37step/s] Training: 62%|██████▏ | 61608/100000 [12:30:55<7:51:57, 1.36step/s] Training: 62%|██████▏ | 61609/100000 [12:30:56<7:33:54, 1.41step/s] Training: 62%|██████▏ | 61610/100000 [12:30:57<7:16:58, 1.46step/s] 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the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=74183 Training: 62%|██████▏ | 61668/100000 [12:31:37<7:29:13, 1.42step/s] Training: 62%|██████▏ | 61669/100000 [12:31:38<7:16:34, 1.46step/s] Training: 62%|██████▏ | 61670/100000 [12:31:39<7:27:06, 1.43step/s] Training: 62%|██████▏ | 61671/100000 [12:31:40<7:40:10, 1.39step/s] Training: 62%|██████▏ | 61672/100000 [12:31:40<7:47:53, 1.37step/s] Training: 62%|██████▏ | 61673/100000 [12:31:41<7:27:58, 1.43step/s] Training: 62%|██████▏ | 61674/100000 [12:31:42<7:08:55, 1.49step/s] Training: 62%|██████▏ | 61675/100000 [12:31:42<7:01:47, 1.51step/s] Training: 62%|██████▏ | 61676/100000 [12:31:43<7:08:28, 1.49step/s] Training: 62%|██████▏ | 61677/100000 [12:31:44<7:28:13, 1.43step/s] Training: 62%|██████▏ | 61678/100000 [12:31:44<7:12:30, 1.48step/s] Training: 62%|██████▏ | 61679/100000 [12:31:45<7:31:13, 1.42step/s] Training: 62%|██████▏ | 61680/100000 [12:31:46<7:48:14, 1.36step/s] Training: 62%|██████▏ | 61681/100000 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[12:32:16<7:13:52, 1.47step/s] Training: 62%|██████▏ | 61724/100000 [12:32:17<7:32:46, 1.41step/s] Training: 62%|██████▏ | 61725/100000 [12:32:17<7:14:29, 1.47step/s] Training: 62%|██████▏ | 61726/100000 [12:32:18<7:30:18, 1.42step/s] Training: 62%|██████▏ | 61727/100000 [12:32:19<7:39:37, 1.39step/s] Training: 62%|██████▏ | 61728/100000 [12:32:20<7:49:37, 1.36step/s] Training: 62%|██████▏ | 61729/100000 [12:32:20<7:28:53, 1.42step/s] Training: 62%|██████▏ | 61730/100000 [12:32:21<7:13:47, 1.47step/s] Training: 62%|██████▏ | 61731/100000 [12:32:21<7:02:58, 1.51step/s] Training: 62%|██████▏ | 61732/100000 [12:32:22<7:22:49, 1.44step/s] Training: 62%|██████▏ | 61733/100000 [12:32:23<7:10:06, 1.48step/s] Training: 62%|██████▏ | 61734/100000 [12:32:24<7:19:19, 1.45step/s] Training: 62%|██████▏ | 61735/100000 [12:32:24<7:47:58, 1.36step/s] Training: 62%|██████▏ | 61736/100000 [12:32:25<7:51:43, 1.35step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=29362 Training: 62%|██████▏ | 61737/100000 [12:32:26<7:29:27, 1.42step/s] Training: 62%|██████▏ | 61738/100000 [12:32:26<7:15:30, 1.46step/s] Training: 62%|██████▏ | 61739/100000 [12:32:27<7:07:00, 1.49step/s] Training: 62%|██████▏ | 61740/100000 [12:32:28<7:19:14, 1.45step/s] Training: 62%|██████▏ | 61741/100000 [12:32:28<7:07:00, 1.49step/s] Training: 62%|██████▏ | 61742/100000 [12:32:29<7:33:01, 1.41step/s] Training: 62%|██████▏ | 61743/100000 [12:32:30<7:43:09, 1.38step/s] Training: 62%|██████▏ | 61744/100000 [12:32:31<7:52:28, 1.35step/s] Training: 62%|██████▏ | 61745/100000 [12:32:31<7:33:14, 1.41step/s] Training: 62%|██████▏ | 61746/100000 [12:32:32<7:12:21, 1.47step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=69282 Training: 62%|██████▏ | 61747/100000 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1.45step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=57576 Training: 62%|██████▏ | 61863/100000 [12:33:54<7:32:13, 1.41step/s] Training: 62%|██████▏ | 61864/100000 [12:33:54<7:48:02, 1.36step/s] Training: 62%|██████▏ | 61865/100000 [12:33:55<7:23:21, 1.43step/s] Training: 62%|██████▏ | 61866/100000 [12:33:56<7:49:34, 1.35step/s] Training: 62%|██████▏ | 61867/100000 [12:33:57<7:27:21, 1.42step/s] Training: 62%|██████▏ | 61868/100000 [12:33:57<7:26:00, 1.42step/s] Training: 62%|██████▏ | 61869/100000 [12:33:58<7:12:12, 1.47step/s] Training: 62%|██████▏ | 61870/100000 [12:33:58<7:01:52, 1.51step/s] Training: 62%|██████▏ | 61871/100000 [12:33:59<7:38:56, 1.38step/s] Training: 62%|██████▏ | 61872/100000 [12:34:00<7:53:40, 1.34step/s] Training: 62%|██████▏ | 61873/100000 [12:34:01<7:27:46, 1.42step/s] Training: 62%|██████▏ | 61874/100000 [12:34:02<7:42:47, 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lr:6.9e-06 updt_s:0.690 data_s:0.012 Training: 63%|██████▎ | 62501/100000 [12:41:21<7:07:33, 1.46step/s] Training: 63%|██████▎ | 62502/100000 [12:41:22<7:16:50, 1.43step/s] Training: 63%|██████▎ | 62503/100000 [12:41:23<7:32:44, 1.38step/s] Training: 63%|██████▎ | 62504/100000 [12:41:23<7:27:07, 1.40step/s] Training: 63%|██████▎ | 62505/100000 [12:41:24<7:36:17, 1.37step/s] Training: 63%|██████▎ | 62506/100000 [12:41:25<7:13:31, 1.44step/s] Training: 63%|██████▎ | 62507/100000 [12:41:26<7:34:49, 1.37step/s] Training: 63%|██████▎ | 62508/100000 [12:41:26<7:18:08, 1.43step/s] Training: 63%|██████▎ | 62509/100000 [12:41:27<7:33:15, 1.38step/s] Training: 63%|██████▎ | 62510/100000 [12:41:28<7:16:23, 1.43step/s] Training: 63%|██████▎ | 62511/100000 [12:41:28<7:29:48, 1.39step/s] Training: 63%|██████▎ | 62512/100000 [12:41:29<7:43:37, 1.35step/s] Training: 63%|██████▎ | 62513/100000 [12:41:30<7:49:04, 1.33step/s] Training: 63%|██████▎ | 62514/100000 [12:41:31<7:23:21, 1.41step/s] Training: 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1.42step/s] Training: 63%|██████▎ | 62530/100000 [12:41:42<7:00:51, 1.48step/s] Training: 63%|██████▎ | 62531/100000 [12:41:42<6:46:44, 1.54step/s] Training: 63%|██████▎ | 62532/100000 [12:41:43<6:50:42, 1.52step/s] Training: 63%|██████▎ | 62533/100000 [12:41:44<6:38:01, 1.57step/s] Training: 63%|██████▎ | 62534/100000 [12:41:44<6:51:07, 1.52step/s] Training: 63%|██████▎ | 62535/100000 [12:41:45<7:03:44, 1.47step/s] Training: 63%|██████▎ | 62536/100000 [12:41:46<7:03:42, 1.47step/s] Training: 63%|██████▎ | 62537/100000 [12:41:47<7:10:14, 1.45step/s] Training: 63%|██████▎ | 62538/100000 [12:41:47<6:56:47, 1.50step/s] Training: 63%|██████▎ | 62539/100000 [12:41:48<6:43:15, 1.55step/s] Training: 63%|██████▎ | 62540/100000 [12:41:50<11:47:41, 1.13s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 63%|██████▎ | 62541/100000 [12:41:54<21:28:27, 2.06s/step] Training: 63%|██████▎ | 62542/100000 [12:41:55<17:00:36, 1.63s/step] Training: 63%|██████▎ | 62543/100000 [12:41:56<14:25:40, 1.39s/step] Training: 63%|██████▎ | 62544/100000 [12:41:56<12:38:24, 1.21s/step] Training: 63%|██████▎ | 62545/100000 [12:41:57<11:19:51, 1.09s/step] Training: 63%|██████▎ | 62546/100000 [12:41:58<9:56:54, 1.05step/s] Training: 63%|██████▎ | 62547/100000 [12:41:59<8:51:46, 1.17step/s] Training: 63%|██████▎ | 62548/100000 [12:41:59<8:44:08, 1.19step/s] Training: 63%|██████▎ | 62549/100000 [12:42:00<8:22:56, 1.24step/s] Training: 63%|██████▎ | 62550/100000 [12:42:01<7:49:47, 1.33step/s] Training: 63%|██████▎ | 62551/100000 [12:42:01<7:49:56, 1.33step/s] Training: 63%|██████▎ | 62552/100000 [12:42:02<7:55:54, 1.31step/s] 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[12:48:04<7:05:47, 1.45step/s] Training: 63%|██████▎ | 63066/100000 [12:48:05<7:43:09, 1.33step/s] Training: 63%|██████▎ | 63067/100000 [12:48:06<7:21:39, 1.39step/s] Training: 63%|██████▎ | 63068/100000 [12:48:07<7:06:08, 1.44step/s] Training: 63%|██████▎ | 63069/100000 [12:48:07<7:22:16, 1.39step/s] Training: 63%|██████▎ | 63070/100000 [12:48:08<7:07:25, 1.44step/s] Training: 63%|██████▎ | 63071/100000 [12:48:09<7:20:02, 1.40step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=22246 Training: 63%|██████▎ | 63072/100000 [12:48:09<7:32:50, 1.36step/s] Training: 63%|██████▎ | 63073/100000 [12:48:10<7:47:21, 1.32step/s] Training: 63%|██████▎ | 63074/100000 [12:48:11<7:46:08, 1.32step/s] Training: 63%|██████▎ | 63075/100000 [12:48:12<7:17:18, 1.41step/s] Training: 63%|██████▎ | 63076/100000 [12:48:12<6:57:54, 1.47step/s] Training: 63%|██████▎ | 63077/100000 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[12:50:47<7:17:41, 1.40step/s] Training: 63%|██████▎ | 63294/100000 [12:50:48<7:00:44, 1.45step/s] Training: 63%|██████▎ | 63295/100000 [12:50:48<7:06:42, 1.43step/s] Training: 63%|██████▎ | 63296/100000 [12:50:49<7:20:02, 1.39step/s] Training: 63%|██████▎ | 63297/100000 [12:50:50<7:31:06, 1.36step/s] Training: 63%|██████▎ | 63298/100000 [12:50:51<7:09:33, 1.42step/s] Training: 63%|██████▎ | 63299/100000 [12:50:51<6:55:55, 1.47step/s] Training: 63%|██████▎ | 63300/100000 [12:50:52<7:08:56, 1.43step/s]INFO 2026-03-12 16:13:08 ot_train.py:435 step:63K smpl:4M ep:14K epch:53.65 loss:0.049 grdn:4.004 lr:6.7e-06 updt_s:0.701 data_s:0.013 Training: 63%|██████▎ | 63301/100000 [12:50:53<7:19:21, 1.39step/s] Training: 63%|██████▎ | 63302/100000 [12:50:53<7:04:03, 1.44step/s] Training: 63%|██████▎ | 63303/100000 [12:50:54<7:16:04, 1.40step/s] Training: 63%|██████▎ | 63304/100000 [12:50:55<7:20:18, 1.39step/s] Training: 63%|██████▎ | 63305/100000 [12:50:56<7:25:08, 1.37step/s] Training: 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1.41step/s] Training: 63%|██████▎ | 63321/100000 [12:51:07<7:24:58, 1.37step/s] Training: 63%|██████▎ | 63322/100000 [12:51:08<7:03:11, 1.44step/s] Training: 63%|██████▎ | 63323/100000 [12:51:08<7:09:38, 1.42step/s] Training: 63%|██████▎ | 63324/100000 [12:51:09<6:55:28, 1.47step/s] Training: 63%|██████▎ | 63325/100000 [12:51:10<7:12:31, 1.41step/s] Training: 63%|██████▎ | 63326/100000 [12:51:10<6:57:50, 1.46step/s] Training: 63%|██████▎ | 63327/100000 [12:51:11<7:06:46, 1.43step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=22246 Training: 63%|██████▎ | 63328/100000 [12:51:12<7:20:28, 1.39step/s] Training: 63%|██████▎ | 63329/100000 [12:51:13<7:27:43, 1.37step/s] Training: 63%|██████▎ | 63330/100000 [12:51:13<7:39:56, 1.33step/s] Training: 63%|██████▎ | 63331/100000 [12:51:14<7:42:32, 1.32step/s] Training: 63%|██████▎ | 63332/100000 [12:51:15<7:16:28, 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1.37step/s] Training: 63%|██████▎ | 63377/100000 [12:51:47<7:18:53, 1.39step/s] Training: 63%|██████▎ | 63378/100000 [12:51:48<7:03:33, 1.44step/s] Training: 63%|██████▎ | 63379/100000 [12:51:49<7:18:51, 1.39step/s] Training: 63%|██████▎ | 63380/100000 [12:51:49<7:02:00, 1.45step/s] Training: 63%|██████▎ | 63381/100000 [12:51:50<7:11:09, 1.42step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=5672 Training: 63%|██████▎ | 63382/100000 [12:51:51<6:52:35, 1.48step/s] Training: 63%|██████▎ | 63383/100000 [12:51:51<7:01:21, 1.45step/s] Training: 63%|██████▎ | 63384/100000 [12:51:52<7:16:38, 1.40step/s] Training: 63%|██████▎ | 63385/100000 [12:51:53<7:01:07, 1.45step/s] Training: 63%|██████▎ | 63386/100000 [12:51:53<7:19:44, 1.39step/s] Training: 63%|██████▎ | 63387/100000 [12:51:54<7:29:26, 1.36step/s] Training: 63%|██████▎ | 63388/100000 [12:51:55<7:05:03, 1.44step/s] Training: 63%|██████▎ | 63389/100000 [12:51:56<7:17:39, 1.39step/s] Training: 63%|██████▎ | 63390/100000 [12:51:56<7:01:24, 1.45step/s] Training: 63%|██████▎ | 63391/100000 [12:51:57<7:06:48, 1.43step/s] Training: 63%|██████▎ | 63392/100000 [12:51:58<7:19:37, 1.39step/s] Training: 63%|██████▎ | 63393/100000 [12:51:59<7:30:11, 1.36step/s] Training: 63%|██████▎ | 63394/100000 [12:51:59<7:08:52, 1.42step/s] Training: 63%|██████▎ | 63395/100000 [12:52:00<7:29:00, 1.36step/s] Training: 63%|██████▎ | 63396/100000 [12:52:01<7:10:41, 1.42step/s] Training: 63%|██████▎ | 63397/100000 [12:52:01<7:15:00, 1.40step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=5672 Training: 63%|██████▎ | 63398/100000 [12:52:02<7:00:47, 1.45step/s] Training: 63%|██████▎ | 63399/100000 [12:52:03<7:17:22, 1.39step/s] Training: 63%|██████▎ | 63400/100000 [12:52:04<7:26:41, 1.37step/s]INFO 2026-03-12 16:14:19 ot_train.py:435 step:63K smpl:4M ep:14K epch:53.74 loss:0.048 grdn:3.968 lr:6.6e-06 updt_s:0.701 data_s:0.012 Training: 63%|██████▎ | 63401/100000 [12:52:04<7:42:19, 1.32step/s] Training: 63%|██████▎ | 63402/100000 [12:52:05<7:19:12, 1.39step/s] Training: 63%|██████▎ | 63403/100000 [12:52:06<7:29:04, 1.36step/s] Training: 63%|██████▎ | 63404/100000 [12:52:07<7:38:39, 1.33step/s] Training: 63%|██████▎ | 63405/100000 [12:52:07<7:37:26, 1.33step/s] Training: 63%|██████▎ | 63406/100000 [12:52:08<7:14:56, 1.40step/s] Training: 63%|██████▎ | 63407/100000 [12:52:09<7:21:46, 1.38step/s] Training: 63%|██████▎ | 63408/100000 [12:52:09<7:31:50, 1.35step/s] Training: 63%|██████▎ | 63409/100000 [12:52:10<7:34:07, 1.34step/s] Training: 63%|██████▎ | 63410/100000 [12:52:11<7:08:15, 1.42step/s] Training: 63%|██████▎ | 63411/100000 [12:52:12<7:12:55, 1.41step/s] Training: 63%|██████▎ | 63412/100000 [12:52:12<7:27:11, 1.36step/s] Training: 63%|██████▎ | 63413/100000 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[12:55:38<7:45:19, 1.30step/s] Training: 64%|██████▎ | 63698/100000 [12:55:39<7:49:56, 1.29step/s] Training: 64%|██████▎ | 63699/100000 [12:55:39<7:41:07, 1.31step/s] Training: 64%|██████▎ | 63700/100000 [12:55:40<7:36:26, 1.33step/s]INFO 2026-03-12 16:17:56 ot_train.py:435 step:64K smpl:4M ep:14K epch:53.99 loss:0.049 grdn:3.956 lr:6.5e-06 updt_s:0.714 data_s:0.013 Training: 64%|██████▎ | 63701/100000 [12:55:41<7:40:24, 1.31step/s] Training: 64%|██████▎ | 63702/100000 [12:55:42<7:18:40, 1.38step/s] Training: 64%|██████▎ | 63703/100000 [12:55:42<7:30:10, 1.34step/s] Training: 64%|██████▎ | 63704/100000 [12:55:43<7:26:35, 1.35step/s] Training: 64%|██████▎ | 63705/100000 [12:55:44<7:19:25, 1.38step/s] Training: 64%|██████▎ | 63706/100000 [12:55:44<7:16:28, 1.39step/s] Training: 64%|██████▎ | 63707/100000 [12:55:45<7:05:56, 1.42step/s] Training: 64%|██████▎ | 63708/100000 [12:55:46<6:59:29, 1.44step/s] Training: 64%|██████▎ | 63709/100000 [12:55:47<7:08:09, 1.41step/s] Training: 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Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... TOKENIZERS_PARALLELISMTo disable this warning, you can either: =(true | false) - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 64%|██████▎ | 63721/100000 [12:55:59<20:15:33, 2.01s/step] Training: 64%|██████▎ | 63722/100000 [12:56:00<16:30:45, 1.64s/step] Training: 64%|██████▎ | 63723/100000 [12:56:01<14:00:34, 1.39s/step] Training: 64%|██████▎ | 63724/100000 [12:56:02<12:18:00, 1.22s/step] Training: 64%|██████▎ | 63725/100000 [12:56:03<10:59:44, 1.09s/step] Training: 64%|██████▎ | 63726/100000 [12:56:03<9:35:19, 1.05step/s] Training: 64%|██████▎ | 63727/100000 [12:56:04<9:13:25, 1.09step/s] Training: 64%|██████▎ | 63728/100000 [12:56:05<8:52:00, 1.14step/s] Training: 64%|██████▎ | 63729/100000 [12:56:06<8:24:05, 1.20step/s] Training: 64%|██████▎ | 63730/100000 [12:56:06<8:10:56, 1.23step/s] Training: 64%|██████▎ | 63731/100000 [12:56:07<8:06:27, 1.24step/s] Training: 64%|██████▎ | 63732/100000 [12:56:08<7:36:42, 1.32step/s] 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[12:56:51<7:20:01, 1.37step/s] Training: 64%|██████▍ | 63792/100000 [12:56:52<7:22:22, 1.36step/s] Training: 64%|██████▍ | 63793/100000 [12:56:52<7:26:22, 1.35step/s] Training: 64%|██████▍ | 63794/100000 [12:56:53<7:30:51, 1.34step/s] Training: 64%|██████▍ | 63795/100000 [12:56:54<7:35:28, 1.32step/s] Training: 64%|██████▍ | 63796/100000 [12:56:55<7:12:08, 1.40step/s] Training: 64%|██████▍ | 63797/100000 [12:56:55<7:17:59, 1.38step/s] Training: 64%|██████▍ | 63798/100000 [12:56:56<7:28:06, 1.35step/s] Training: 64%|██████▍ | 63799/100000 [12:56:57<7:33:42, 1.33step/s] Training: 64%|██████▍ | 63800/100000 [12:56:58<7:35:06, 1.33step/s]INFO 2026-03-12 16:19:14 ot_train.py:435 step:64K smpl:4M ep:14K epch:54.08 loss:0.050 grdn:3.618 lr:6.5e-06 updt_s:0.712 data_s:0.060 Training: 64%|██████▍ | 63801/100000 [12:56:58<7:25:06, 1.36step/s] Training: 64%|██████▍ | 63802/100000 [12:56:59<7:28:10, 1.35step/s] Training: 64%|██████▍ | 63803/100000 [12:57:00<7:21:26, 1.37step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=57351 Training: 64%|██████▍ | 63804/100000 [12:57:00<7:03:17, 1.43step/s] Training: 64%|██████▍ | 63805/100000 [12:57:01<7:17:15, 1.38step/s] Training: 64%|██████▍ | 63806/100000 [12:57:02<7:01:44, 1.43step/s] Training: 64%|██████▍ | 63807/100000 [12:57:03<7:17:52, 1.38step/s] Training: 64%|██████▍ | 63808/100000 [12:57:03<7:25:50, 1.35step/s] Training: 64%|██████▍ | 63809/100000 [12:57:04<7:35:44, 1.32step/s] Training: 64%|██████▍ | 63810/100000 [12:57:05<7:38:11, 1.32step/s] Training: 64%|██████▍ | 63811/100000 [12:57:06<7:40:43, 1.31step/s] Training: 64%|██████▍ | 63812/100000 [12:57:06<7:18:16, 1.38step/s] Training: 64%|██████▍ | 63813/100000 [12:57:07<7:17:52, 1.38step/s] Training: 64%|██████▍ | 63814/100000 [12:57:08<7:03:33, 1.42step/s] Training: 64%|██████▍ | 63815/100000 [12:57:09<7:29:51, 1.34step/s] Training: 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64%|██████▍ | 63860/100000 [12:57:41<7:08:02, 1.41step/s] Training: 64%|██████▍ | 63861/100000 [12:57:42<7:22:48, 1.36step/s] Training: 64%|██████▍ | 63862/100000 [12:57:43<7:02:57, 1.42step/s] Training: 64%|██████▍ | 63863/100000 [12:57:43<7:09:38, 1.40step/s] Training: 64%|██████▍ | 63864/100000 [12:57:44<7:29:37, 1.34step/s] Training: 64%|██████▍ | 63865/100000 [12:57:45<7:19:29, 1.37step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=14548 Training: 64%|██████▍ | 63866/100000 [12:57:46<7:25:14, 1.35step/s] Training: 64%|██████▍ | 63867/100000 [12:57:46<7:20:11, 1.37step/s] Training: 64%|██████▍ | 63868/100000 [12:57:47<7:01:24, 1.43step/s] Training: 64%|██████▍ | 63869/100000 [12:57:48<7:05:57, 1.41step/s] Training: 64%|██████▍ | 63870/100000 [12:57:48<6:52:58, 1.46step/s] Training: 64%|██████▍ | 63871/100000 [12:57:49<6:44:13, 1.49step/s] Training: 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ot_train.py:435 step:64K smpl:4M ep:14K epch:54.16 loss:0.047 grdn:3.978 lr:6.5e-06 updt_s:0.712 data_s:0.012 Training: 64%|██████▍ | 63901/100000 [12:58:11<6:59:43, 1.43step/s] Training: 64%|██████▍ | 63902/100000 [12:58:12<6:46:14, 1.48step/s] Training: 64%|██████▍ | 63903/100000 [12:58:12<7:01:12, 1.43step/s] Training: 64%|██████▍ | 63904/100000 [12:58:13<7:13:52, 1.39step/s] Training: 64%|██████▍ | 63905/100000 [12:58:14<7:23:15, 1.36step/s] Training: 64%|██████▍ | 63906/100000 [12:58:15<7:17:50, 1.37step/s] Training: 64%|██████▍ | 63907/100000 [12:58:15<7:19:25, 1.37step/s] Training: 64%|██████▍ | 63908/100000 [12:58:16<7:00:30, 1.43step/s] Training: 64%|██████▍ | 63909/100000 [12:58:17<7:06:44, 1.41step/s] Training: 64%|██████▍ | 63910/100000 [12:58:17<6:51:14, 1.46step/s] Training: 64%|██████▍ | 63911/100000 [12:58:18<7:14:18, 1.38step/s] Training: 64%|██████▍ | 63912/100000 [12:58:19<7:09:53, 1.40step/s] Training: 64%|██████▍ | 63913/100000 [12:58:20<7:15:18, 1.38step/s] 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Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=26343 Training: 64%|██████▍ | 64073/100000 [13:00:17<7:26:55, 1.34step/s] Training: 64%|██████▍ | 64074/100000 [13:00:17<7:23:46, 1.35step/s] Training: 64%|██████▍ | 64075/100000 [13:00:18<7:24:07, 1.35step/s] Training: 64%|██████▍ | 64076/100000 [13:00:19<6:59:29, 1.43step/s] Training: 64%|██████▍ | 64077/100000 [13:00:19<7:12:21, 1.38step/s] Training: 64%|██████▍ | 64078/100000 [13:00:20<7:24:17, 1.35step/s] Training: 64%|██████▍ | 64079/100000 [13:00:21<7:23:24, 1.35step/s] Training: 64%|██████▍ | 64080/100000 [13:00:22<7:31:29, 1.33step/s] Training: 64%|██████▍ | 64081/100000 [13:00:22<7:32:01, 1.32step/s] Training: 64%|██████▍ | 64082/100000 [13:00:23<7:34:20, 1.32step/s] Training: 64%|██████▍ | 64083/100000 [13:00:24<7:32:33, 1.32step/s] Training: 64%|██████▍ | 64084/100000 [13:00:25<7:08:37, 1.40step/s] Training: 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several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=53074 Training: 64%|██████▍ | 64099/100000 [13:00:36<7:26:19, 1.34step/s] Training: 64%|██████▍ | 64100/100000 [13:00:36<7:05:17, 1.41step/s]INFO 2026-03-12 16:22:52 ot_train.py:435 step:64K smpl:4M ep:14K epch:54.33 loss:0.046 grdn:3.613 lr:6.4e-06 updt_s:0.718 data_s:0.012 Training: 64%|██████▍ | 64101/100000 [13:00:37<7:06:44, 1.40step/s] Training: 64%|██████▍ | 64102/100000 [13:00:37<6:47:52, 1.47step/s] Training: 64%|██████▍ | 64103/100000 [13:00:38<6:55:34, 1.44step/s] Training: 64%|██████▍ | 64104/100000 [13:00:39<7:13:10, 1.38step/s] Training: 64%|██████▍ | 64105/100000 [13:00:40<7:18:06, 1.37step/s] Training: 64%|██████▍ | 64106/100000 [13:00:40<7:16:29, 1.37step/s] Training: 64%|██████▍ | 64107/100000 [13:00:41<7:16:27, 1.37step/s] Training: 64%|██████▍ | 64108/100000 [13:00:42<6:58:04, 1.43step/s] Training: 64%|██████▍ | 64109/100000 [13:00:43<7:10:36, 1.39step/s] 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[13:07:51<7:03:55, 1.39step/s] Training: 65%|██████▍ | 64709/100000 [13:07:51<6:43:39, 1.46step/s] Training: 65%|██████▍ | 64710/100000 [13:07:52<6:59:49, 1.40step/s] Training: 65%|██████▍ | 64711/100000 [13:07:53<6:40:55, 1.47step/s] Training: 65%|██████▍ | 64712/100000 [13:07:54<6:58:30, 1.41step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=2647 Training: 65%|██████▍ | 64713/100000 [13:07:54<6:39:28, 1.47step/s] Training: 65%|██████▍ | 64714/100000 [13:07:55<6:44:11, 1.45step/s] Training: 65%|██████▍ | 64715/100000 [13:07:56<6:30:05, 1.51step/s] Training: 65%|██████▍ | 64716/100000 [13:07:56<6:46:50, 1.45step/s] Training: 65%|██████▍ | 64717/100000 [13:07:57<6:35:15, 1.49step/s] Training: 65%|██████▍ | 64718/100000 [13:07:58<6:42:41, 1.46step/s] Training: 65%|██████▍ | 64719/100000 [13:07:58<7:01:10, 1.40step/s] Training: 65%|██████▍ | 64720/100000 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1.47step/s] Training: 65%|██████▍ | 64892/100000 [13:10:00<6:45:11, 1.44step/s] Training: 65%|██████▍ | 64893/100000 [13:10:01<6:28:17, 1.51step/s] Training: 65%|██████▍ | 64894/100000 [13:10:01<6:34:47, 1.48step/s] Training: 65%|██████▍ | 64895/100000 [13:10:02<6:21:23, 1.53step/s] Training: 65%|██████▍ | 64896/100000 [13:10:03<6:36:08, 1.48step/s] Training: 65%|██████▍ | 64897/100000 [13:10:03<6:21:41, 1.53step/s] Training: 65%|██████▍ | 64898/100000 [13:10:04<6:31:13, 1.50step/s] Training: 65%|██████▍ | 64899/100000 [13:10:05<6:24:51, 1.52step/s] Training: 65%|██████▍ | 64900/100000 [13:10:07<11:03:44, 1.13s/step]INFO 2026-03-12 16:32:23 ot_train.py:435 step:65K smpl:4M ep:14K epch:55.01 loss:0.050 grdn:3.495 lr:6.2e-06 updt_s:0.684 data_s:0.027 huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... 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1.40step/s]INFO 2026-03-12 16:33:37 ot_train.py:435 step:65K smpl:4M ep:14K epch:55.09 loss:0.047 grdn:3.969 lr:6.2e-06 updt_s:0.695 data_s:0.043 INFO 2026-03-12 16:33:37 ot_train.py:455 Checkpoint policy after step 65000 [Avatar] Pushing checkpoint (step 65000) to avatarrobotics/pi0fast-orange-hook-right-b64-20260312-0320... 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[13:13:36<6:39:50, 1.45step/s] Training: 65%|██████▌ | 65096/100000 [13:13:37<7:00:31, 1.38step/s] Training: 65%|██████▌ | 65097/100000 [13:13:38<6:47:00, 1.43step/s] Training: 65%|██████▌ | 65098/100000 [13:13:39<7:02:09, 1.38step/s] Training: 65%|██████▌ | 65099/100000 [13:13:39<6:45:29, 1.43step/s] Training: 65%|██████▌ | 65100/100000 [13:13:40<6:58:22, 1.39step/s]INFO 2026-03-12 16:35:56 ot_train.py:435 step:65K smpl:4M ep:14K epch:55.18 loss:0.045 grdn:3.931 lr:6.2e-06 updt_s:0.691 data_s:0.013 Training: 65%|██████▌ | 65101/100000 [13:13:41<6:45:14, 1.44step/s] Training: 65%|██████▌ | 65102/100000 [13:13:41<6:46:11, 1.43step/s] Training: 65%|██████▌ | 65103/100000 [13:13:42<6:33:17, 1.48step/s] Training: 65%|██████▌ | 65104/100000 [13:13:43<6:51:10, 1.41step/s] Training: 65%|██████▌ | 65105/100000 [13:13:44<7:14:16, 1.34step/s] Training: 65%|██████▌ | 65106/100000 [13:13:44<7:10:47, 1.35step/s] Training: 65%|██████▌ | 65107/100000 [13:13:45<6:51:38, 1.41step/s] Training: 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1.30step/s] Training: 65%|██████▌ | 65123/100000 [13:13:57<7:03:06, 1.37step/s] Training: 65%|██████▌ | 65124/100000 [13:13:57<7:07:01, 1.36step/s] Training: 65%|██████▌ | 65125/100000 [13:13:58<6:44:17, 1.44step/s] Training: 65%|██████▌ | 65126/100000 [13:13:59<6:56:53, 1.39step/s] Training: 65%|██████▌ | 65127/100000 [13:13:59<6:40:59, 1.45step/s] Training: 65%|██████▌ | 65128/100000 [13:14:00<6:59:11, 1.39step/s] Training: 65%|██████▌ | 65129/100000 [13:14:01<7:13:31, 1.34step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=69230 Training: 65%|██████▌ | 65130/100000 [13:14:02<7:18:40, 1.32step/s] Training: 65%|██████▌ | 65131/100000 [13:14:02<6:56:01, 1.40step/s] Training: 65%|██████▌ | 65132/100000 [13:14:03<6:55:41, 1.40step/s] Training: 65%|██████▌ | 65133/100000 [13:14:04<6:39:46, 1.45step/s] Training: 65%|██████▌ | 65134/100000 [13:14:04<6:57:18, 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Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=38221 Training: 65%|██████▌ | 65164/100000 [13:14:26<6:53:10, 1.41step/s] Training: 65%|██████▌ | 65165/100000 [13:14:27<7:01:10, 1.38step/s] Training: 65%|██████▌ | 65166/100000 [13:14:27<7:05:07, 1.37step/s] Training: 65%|██████▌ | 65167/100000 [13:14:28<6:50:00, 1.42step/s] Training: 65%|██████▌ | 65168/100000 [13:14:29<6:59:32, 1.38step/s] Training: 65%|██████▌ | 65169/100000 [13:14:30<6:42:58, 1.44step/s] Training: 65%|██████▌ | 65170/100000 [13:14:30<6:51:02, 1.41step/s] Training: 65%|██████▌ | 65171/100000 [13:14:31<7:03:50, 1.37step/s] Training: 65%|██████▌ | 65172/100000 [13:14:32<6:58:12, 1.39step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=46376 Training: 65%|██████▌ | 65173/100000 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[13:23:44<6:29:10, 1.46step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=66013 Training: 66%|██████▌ | 65947/100000 [13:23:45<6:51:47, 1.38step/s] Training: 66%|██████▌ | 65948/100000 [13:23:45<6:58:51, 1.35step/s] Training: 66%|██████▌ | 65949/100000 [13:23:46<7:10:51, 1.32step/s] Training: 66%|██████▌ | 65950/100000 [13:23:47<7:13:12, 1.31step/s] Training: 66%|██████▌ | 65951/100000 [13:23:48<6:53:06, 1.37step/s] Training: 66%|██████▌ | 65952/100000 [13:23:48<7:07:51, 1.33step/s] Training: 66%|██████▌ | 65953/100000 [13:23:49<6:50:14, 1.38step/s] Training: 66%|██████▌ | 65954/100000 [13:23:50<6:37:15, 1.43step/s] Training: 66%|██████▌ | 65955/100000 [13:23:50<6:42:29, 1.41step/s] Training: 66%|██████▌ | 65956/100000 [13:23:51<6:50:23, 1.38step/s] Training: 66%|██████▌ | 65957/100000 [13:23:52<6:50:28, 1.38step/s] Training: 66%|██████▌ | 65958/100000 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66%|██████▌ | 65985/100000 [13:24:12<6:49:14, 1.39step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=30887 Training: 66%|██████▌ | 65986/100000 [13:24:13<6:35:01, 1.44step/s] Training: 66%|██████▌ | 65987/100000 [13:24:13<6:42:26, 1.41step/s] Training: 66%|██████▌ | 65988/100000 [13:24:14<6:49:34, 1.38step/s] Training: 66%|██████▌ | 65989/100000 [13:24:15<6:55:44, 1.36step/s] Training: 66%|██████▌ | 65990/100000 [13:24:16<7:01:08, 1.35step/s] Training: 66%|██████▌ | 65991/100000 [13:24:16<6:40:49, 1.41step/s] Training: 66%|██████▌ | 65992/100000 [13:24:17<6:51:31, 1.38step/s] Training: 66%|██████▌ | 65993/100000 [13:24:18<7:02:46, 1.34step/s] Training: 66%|██████▌ | 65994/100000 [13:24:18<6:41:57, 1.41step/s] Training: 66%|██████▌ | 65995/100000 [13:24:19<6:28:15, 1.46step/s] Training: 66%|██████▌ | 65996/100000 [13:24:20<6:40:10, 1.42step/s] Training: 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[13:24:40<6:49:40, 1.38step/s] Training: 66%|██████▌ | 66025/100000 [13:24:41<6:35:39, 1.43step/s] Training: 66%|██████▌ | 66026/100000 [13:24:42<6:52:24, 1.37step/s] Training: 66%|██████▌ | 66027/100000 [13:24:42<6:30:42, 1.45step/s] Training: 66%|██████▌ | 66028/100000 [13:24:43<6:42:24, 1.41step/s] Training: 66%|██████▌ | 66029/100000 [13:24:44<6:50:12, 1.38step/s] Training: 66%|██████▌ | 66030/100000 [13:24:44<6:58:06, 1.35step/s] Training: 66%|██████▌ | 66031/100000 [13:24:45<6:38:58, 1.42step/s] Training: 66%|██████▌ | 66032/100000 [13:24:46<7:00:09, 1.35step/s] Training: 66%|██████▌ | 66033/100000 [13:24:47<6:37:33, 1.42step/s] Training: 66%|██████▌ | 66034/100000 [13:24:47<6:25:18, 1.47step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=66013 Training: 66%|██████▌ | 66035/100000 [13:24:48<6:51:44, 1.37step/s] Training: 66%|██████▌ | 66036/100000 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[13:25:21<10:43:44, 1.14s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 66%|██████▌ | 66081/100000 [13:25:25<19:39:11, 2.09s/step] Training: 66%|██████▌ | 66082/100000 [13:25:26<15:31:44, 1.65s/step] Training: 66%|██████▌ | 66083/100000 [13:25:27<13:04:53, 1.39s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=23845 Training: 66%|██████▌ | 66084/100000 [13:25:27<11:25:59, 1.21s/step] Training: 66%|██████▌ | 66085/100000 [13:25:28<10:09:38, 1.08s/step] Training: 66%|██████▌ | 66086/100000 [13:25:29<9:23:29, 1.00step/s] Training: 66%|██████▌ | 66087/100000 [13:25:30<8:18:31, 1.13step/s] Training: 66%|██████▌ | 66088/100000 [13:25:30<8:02:13, 1.17step/s] Training: 66%|██████▌ | 66089/100000 [13:25:31<7:20:11, 1.28step/s] Training: 66%|██████▌ | 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[13:29:36<6:30:35, 1.43step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=43718 Training: 66%|██████▋ | 66432/100000 [13:29:36<6:47:22, 1.37step/s] Training: 66%|██████▋ | 66433/100000 [13:29:37<6:30:58, 1.43step/s] Training: 66%|██████▋ | 66434/100000 [13:29:38<6:20:42, 1.47step/s] Training: 66%|██████▋ | 66435/100000 [13:29:38<6:30:08, 1.43step/s] Training: 66%|██████▋ | 66436/100000 [13:29:39<6:47:40, 1.37step/s] Training: 66%|██████▋ | 66437/100000 [13:29:40<6:58:20, 1.34step/s] Training: 66%|██████▋ | 66438/100000 [13:29:41<6:37:52, 1.41step/s] Training: 66%|██████▋ | 66439/100000 [13:29:41<6:39:58, 1.40step/s] Training: 66%|██████▋ | 66440/100000 [13:29:42<6:53:40, 1.35step/s] Training: 66%|██████▋ | 66441/100000 [13:29:43<6:32:55, 1.42step/s] Training: 66%|██████▋ | 66442/100000 [13:29:43<6:20:05, 1.47step/s] Training: 66%|██████▋ | 66443/100000 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FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=49826 Training: 67%|██████▋ | 66615/100000 [13:31:47<6:37:55, 1.40step/s] Training: 67%|██████▋ | 66616/100000 [13:31:48<6:44:39, 1.37step/s] Training: 67%|██████▋ | 66617/100000 [13:31:49<6:24:16, 1.45step/s] Training: 67%|██████▋ | 66618/100000 [13:31:49<6:40:37, 1.39step/s] Training: 67%|██████▋ | 66619/100000 [13:31:50<6:36:43, 1.40step/s] Training: 67%|██████▋ | 66620/100000 [13:31:51<6:43:46, 1.38step/s] Training: 67%|██████▋ | 66621/100000 [13:31:52<6:54:20, 1.34step/s] Training: 67%|██████▋ | 66622/100000 [13:31:52<6:37:16, 1.40step/s] Training: 67%|██████▋ | 66623/100000 [13:31:53<6:38:15, 1.40step/s] Training: 67%|██████▋ | 66624/100000 [13:31:54<6:49:36, 1.36step/s] Training: 67%|██████▋ | 66625/100000 [13:31:54<6:29:21, 1.43step/s] Training: 67%|██████▋ | 66626/100000 [13:31:55<6:36:08, 1.40step/s] Training: 67%|██████▋ | 66627/100000 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1.42step/s]INFO 2026-03-12 16:55:04 ot_train.py:435 step:67K smpl:4M ep:15K epch:56.54 loss:0.045 grdn:3.437 lr:5.8e-06 updt_s:0.697 data_s:0.012 Training: 67%|██████▋ | 66701/100000 [13:32:48<6:39:01, 1.39step/s] Training: 67%|██████▋ | 66702/100000 [13:32:49<6:19:27, 1.46step/s] Training: 67%|██████▋ | 66703/100000 [13:32:50<6:28:36, 1.43step/s] Training: 67%|██████▋ | 66704/100000 [13:32:50<6:32:15, 1.41step/s] Training: 67%|██████▋ | 66705/100000 [13:32:51<6:26:06, 1.44step/s] Training: 67%|██████▋ | 66706/100000 [13:32:52<6:15:54, 1.48step/s] Training: 67%|██████▋ | 66707/100000 [13:32:53<6:27:10, 1.43step/s] Training: 67%|██████▋ | 66708/100000 [13:32:53<6:27:03, 1.43step/s] Training: 67%|██████▋ | 66709/100000 [13:32:54<6:50:53, 1.35step/s] Training: 67%|██████▋ | 66710/100000 [13:32:55<6:27:40, 1.43step/s] Training: 67%|██████▋ | 66711/100000 [13:32:55<6:39:20, 1.39step/s] Training: 67%|██████▋ | 66712/100000 [13:32:56<6:48:29, 1.36step/s] Training: 67%|██████▋ | 66713/100000 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ot_train.py:435 step:67K smpl:4M ep:15K epch:56.62 loss:0.047 grdn:3.747 lr:5.7e-06 updt_s:0.701 data_s:0.012 Training: 67%|██████▋ | 66801/100000 [13:34:00<6:25:55, 1.43step/s] Training: 67%|██████▋ | 66802/100000 [13:34:00<6:10:39, 1.49step/s] Training: 67%|██████▋ | 66803/100000 [13:34:01<6:24:17, 1.44step/s] Training: 67%|██████▋ | 66804/100000 [13:34:02<6:31:33, 1.41step/s] Training: 67%|██████▋ | 66805/100000 [13:34:03<6:45:07, 1.37step/s] Training: 67%|██████▋ | 66806/100000 [13:34:03<6:28:42, 1.42step/s] Training: 67%|██████▋ | 66807/100000 [13:34:04<6:43:12, 1.37step/s] Training: 67%|██████▋ | 66808/100000 [13:34:05<6:52:46, 1.34step/s] Training: 67%|██████▋ | 66809/100000 [13:34:05<6:30:15, 1.42step/s] Training: 67%|██████▋ | 66810/100000 [13:34:06<6:17:26, 1.47step/s] Training: 67%|██████▋ | 66811/100000 [13:34:07<6:29:23, 1.42step/s] Training: 67%|██████▋ | 66812/100000 [13:34:08<6:45:14, 1.36step/s] Training: 67%|██████▋ | 66813/100000 [13:34:08<6:45:51, 1.36step/s] 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1.39step/s] Training: 67%|██████▋ | 66912/100000 [13:35:20<6:44:47, 1.36step/s] Training: 67%|██████▋ | 66913/100000 [13:35:20<6:26:56, 1.43step/s] Training: 67%|██████▋ | 66914/100000 [13:35:21<6:13:56, 1.47step/s] Training: 67%|██████▋ | 66915/100000 [13:35:22<6:45:31, 1.36step/s] Training: 67%|██████▋ | 66916/100000 [13:35:23<6:46:47, 1.36step/s] Training: 67%|██████▋ | 66917/100000 [13:35:23<6:43:12, 1.37step/s] Training: 67%|██████▋ | 66918/100000 [13:35:24<6:25:46, 1.43step/s] Training: 67%|██████▋ | 66919/100000 [13:35:25<6:31:52, 1.41step/s] Training: 67%|██████▋ | 66920/100000 [13:35:25<6:42:57, 1.37step/s] Training: 67%|██████▋ | 66921/100000 [13:35:26<6:22:01, 1.44step/s] Training: 67%|██████▋ | 66922/100000 [13:35:27<6:39:23, 1.38step/s] Training: 67%|██████▋ | 66923/100000 [13:35:28<6:43:13, 1.37step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with 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[13:36:40<6:55:35, 1.32step/s] Training: 67%|██████▋ | 67025/100000 [13:36:40<6:34:44, 1.39step/s] Training: 67%|██████▋ | 67026/100000 [13:36:41<6:22:16, 1.44step/s] Training: 67%|██████▋ | 67027/100000 [13:36:42<6:31:22, 1.40step/s] Training: 67%|██████▋ | 67028/100000 [13:36:42<6:30:18, 1.41step/s] Training: 67%|██████▋ | 67029/100000 [13:36:43<6:35:57, 1.39step/s] Training: 67%|██████▋ | 67030/100000 [13:36:44<6:16:17, 1.46step/s] Training: 67%|██████▋ | 67031/100000 [13:36:44<6:31:00, 1.41step/s] Training: 67%|██████▋ | 67032/100000 [13:36:45<6:40:08, 1.37step/s] Training: 67%|██████▋ | 67033/100000 [13:36:46<6:25:47, 1.42step/s] Training: 67%|██████▋ | 67034/100000 [13:36:46<6:12:37, 1.47step/s] Training: 67%|██████▋ | 67035/100000 [13:36:47<6:30:21, 1.41step/s] Training: 67%|██████▋ | 67036/100000 [13:36:48<6:18:20, 1.45step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=63897 Training: 67%|██████▋ | 67037/100000 [13:36:49<6:25:59, 1.42step/s] Training: 67%|██████▋ | 67038/100000 [13:36:49<6:41:44, 1.37step/s] Training: 67%|██████▋ | 67039/100000 [13:36:50<6:44:15, 1.36step/s] Training: 67%|██████▋ | 67040/100000 [13:36:51<6:43:46, 1.36step/s] Training: 67%|██████▋ | 67041/100000 [13:36:52<6:27:26, 1.42step/s] Training: 67%|██████▋ | 67042/100000 [13:36:52<6:11:17, 1.48step/s] Training: 67%|██████▋ | 67043/100000 [13:36:53<6:16:42, 1.46step/s] Training: 67%|██████▋ | 67044/100000 [13:36:54<6:26:03, 1.42step/s] Training: 67%|██████▋ | 67045/100000 [13:36:54<6:40:11, 1.37step/s] Training: 67%|██████▋ | 67046/100000 [13:36:55<6:52:33, 1.33step/s] Training: 67%|██████▋ | 67047/100000 [13:36:56<6:49:25, 1.34step/s] Training: 67%|██████▋ | 67048/100000 [13:36:57<6:59:12, 1.31step/s] Training: 67%|██████▋ | 67049/100000 [13:36:57<6:37:57, 1.38step/s] Training: 67%|██████▋ | 67050/100000 [13:36:58<6:21:13, 1.44step/s] Training: 67%|██████▋ | 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1.48step/s] Training: 67%|██████▋ | 67250/100000 [13:39:19<5:56:14, 1.53step/s] Training: 67%|██████▋ | 67251/100000 [13:39:20<6:09:45, 1.48step/s] Training: 67%|██████▋ | 67252/100000 [13:39:21<6:13:26, 1.46step/s] Training: 67%|██████▋ | 67253/100000 [13:39:21<5:58:57, 1.52step/s] Training: 67%|██████▋ | 67254/100000 [13:39:22<5:47:56, 1.57step/s] Training: 67%|██████▋ | 67255/100000 [13:39:23<5:59:32, 1.52step/s] Training: 67%|██████▋ | 67256/100000 [13:39:23<6:10:41, 1.47step/s] Training: 67%|██████▋ | 67257/100000 [13:39:24<5:56:58, 1.53step/s] Training: 67%|██████▋ | 67258/100000 [13:39:25<6:05:55, 1.49step/s] Training: 67%|██████▋ | 67259/100000 [13:39:25<6:12:33, 1.46step/s] Training: 67%|██████▋ | 67260/100000 [13:39:27<10:05:07, 1.11s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 67%|██████▋ | 67261/100000 [13:39:31<17:23:32, 1.91s/step] Training: 67%|██████▋ | 67262/100000 [13:39:32<13:58:55, 1.54s/step] Training: 67%|██████▋ | 67263/100000 [13:39:33<12:06:59, 1.33s/step] Training: 67%|██████▋ | 67264/100000 [13:39:34<10:48:22, 1.19s/step] Training: 67%|██████▋ | 67265/100000 [13:39:34<9:34:15, 1.05s/step] Training: 67%|██████▋ | 67266/100000 [13:39:35<8:21:01, 1.09step/s] Training: 67%|██████▋ | 67267/100000 [13:39:36<8:05:43, 1.12step/s] Training: 67%|██████▋ | 67268/100000 [13:39:37<7:46:26, 1.17step/s] Training: 67%|██████▋ | 67269/100000 [13:39:37<7:08:59, 1.27step/s] Training: 67%|██████▋ | 67270/100000 [13:39:38<6:43:21, 1.35step/s] Training: 67%|██████▋ | 67271/100000 [13:39:39<6:47:15, 1.34step/s] Training: 67%|██████▋ | 67272/100000 [13:39:39<6:53:31, 1.32step/s] 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[13:40:19<6:44:02, 1.35step/s] Training: 67%|██████▋ | 67330/100000 [13:40:20<6:25:35, 1.41step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=15626 Training: 67%|██████▋ | 67331/100000 [13:40:21<6:14:17, 1.45step/s] Training: 67%|██████▋ | 67332/100000 [13:40:22<6:29:11, 1.40step/s] Training: 67%|██████▋ | 67333/100000 [13:40:22<6:36:56, 1.37step/s] Training: 67%|██████▋ | 67334/100000 [13:40:23<6:16:15, 1.45step/s] Training: 67%|██████▋ | 67335/100000 [13:40:24<6:19:37, 1.43step/s] Training: 67%|██████▋ | 67336/100000 [13:40:24<6:28:41, 1.40step/s] Training: 67%|██████▋ | 67337/100000 [13:40:25<6:27:01, 1.41step/s] Training: 67%|██████▋ | 67338/100000 [13:40:26<6:14:26, 1.45step/s] Training: 67%|██████▋ | 67339/100000 [13:40:26<6:04:31, 1.49step/s] Training: 67%|██████▋ | 67340/100000 [13:40:27<6:20:34, 1.43step/s] Training: 67%|██████▋ | 67341/100000 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several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=30957 Training: 68%|██████▊ | 67684/100000 [13:44:30<6:25:18, 1.40step/s] Training: 68%|██████▊ | 67685/100000 [13:44:30<6:10:49, 1.45step/s] Training: 68%|██████▊ | 67686/100000 [13:44:31<6:04:32, 1.48step/s] Training: 68%|██████▊ | 67687/100000 [13:44:32<6:33:06, 1.37step/s] Training: 68%|██████▊ | 67688/100000 [13:44:33<6:38:57, 1.35step/s] Training: 68%|██████▊ | 67689/100000 [13:44:33<6:35:38, 1.36step/s] Training: 68%|██████▊ | 67690/100000 [13:44:34<6:20:37, 1.41step/s] Training: 68%|██████▊ | 67691/100000 [13:44:35<6:08:13, 1.46step/s] Training: 68%|██████▊ | 67692/100000 [13:44:35<6:19:16, 1.42step/s] Training: 68%|██████▊ | 67693/100000 [13:44:36<6:06:41, 1.47step/s] Training: 68%|██████▊ | 67694/100000 [13:44:37<5:58:16, 1.50step/s] Training: 68%|██████▊ | 67695/100000 [13:44:37<6:14:30, 1.44step/s] Training: 68%|██████▊ | 67696/100000 [13:44:38<6:23:46, 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1.42step/s] Training: 68%|██████▊ | 68335/100000 [13:52:12<6:18:36, 1.39step/s] Training: 68%|██████▊ | 68336/100000 [13:52:12<6:27:58, 1.36step/s] Training: 68%|██████▊ | 68337/100000 [13:52:13<6:27:29, 1.36step/s] Training: 68%|██████▊ | 68338/100000 [13:52:14<6:09:54, 1.43step/s] Training: 68%|██████▊ | 68339/100000 [13:52:14<5:58:21, 1.47step/s] Training: 68%|██████▊ | 68340/100000 [13:52:15<6:08:18, 1.43step/s] Training: 68%|██████▊ | 68341/100000 [13:52:16<5:53:20, 1.49step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=30215 Training: 68%|██████▊ | 68342/100000 [13:52:17<6:09:49, 1.43step/s] Training: 68%|██████▊ | 68343/100000 [13:52:17<6:21:59, 1.38step/s] Training: 68%|██████▊ | 68344/100000 [13:52:18<6:32:33, 1.34step/s] Training: 68%|██████▊ | 68345/100000 [13:52:19<6:29:10, 1.36step/s] Training: 68%|██████▊ | 68346/100000 [13:52:20<6:12:26, 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1.49step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=65882 Training: 68%|██████▊ | 68391/100000 [13:52:52<6:05:54, 1.44step/s] Training: 68%|██████▊ | 68392/100000 [13:52:52<6:18:58, 1.39step/s] Training: 68%|██████▊ | 68393/100000 [13:52:53<6:13:55, 1.41step/s] Training: 68%|██████▊ | 68394/100000 [13:52:54<6:00:25, 1.46step/s] Training: 68%|██████▊ | 68395/100000 [13:52:54<6:18:11, 1.39step/s] Training: 68%|██████▊ | 68396/100000 [13:52:55<6:15:08, 1.40step/s] Training: 68%|██████▊ | 68397/100000 [13:52:56<6:02:43, 1.45step/s] Training: 68%|██████▊ | 68398/100000 [13:52:56<6:05:09, 1.44step/s] Training: 68%|██████▊ | 68399/100000 [13:52:57<6:13:44, 1.41step/s] Training: 68%|██████▊ | 68400/100000 [13:52:58<6:23:30, 1.37step/s]INFO 2026-03-12 17:15:14 ot_train.py:435 step:68K smpl:4M ep:15K epch:57.98 loss:0.044 grdn:3.429 lr:5.3e-06 updt_s:0.696 data_s:0.012 Training: 68%|██████▊ | 68401/100000 [13:52:59<6:22:50, 1.38step/s] Training: 68%|██████▊ | 68402/100000 [13:52:59<6:06:34, 1.44step/s] Training: 68%|██████▊ | 68403/100000 [13:53:00<6:19:09, 1.39step/s] Training: 68%|██████▊ | 68404/100000 [13:53:01<6:16:44, 1.40step/s] Training: 68%|██████▊ | 68405/100000 [13:53:01<6:03:43, 1.45step/s] Training: 68%|██████▊ | 68406/100000 [13:53:02<6:08:06, 1.43step/s] Training: 68%|██████▊ | 68407/100000 [13:53:03<6:22:18, 1.38step/s] Training: 68%|██████▊ | 68408/100000 [13:53:04<6:33:04, 1.34step/s] Training: 68%|██████▊ | 68409/100000 [13:53:04<6:15:17, 1.40step/s] Training: 68%|██████▊ | 68410/100000 [13:53:05<6:24:07, 1.37step/s] Training: 68%|██████▊ | 68411/100000 [13:53:06<6:25:35, 1.37step/s] Training: 68%|██████▊ | 68412/100000 [13:53:07<6:32:37, 1.34step/s] Training: 68%|██████▊ | 68413/100000 [13:53:07<6:14:47, 1.40step/s] Training: 68%|██████▊ | 68414/100000 [13:53:08<6:23:16, 1.37step/s] Training: 68%|██████▊ | 68415/100000 [13:53:09<6:20:46, 1.38step/s] Training: 68%|██████▊ | 68416/100000 [13:53:10<6:29:53, 1.35step/s] Training: 68%|██████▊ | 68417/100000 [13:53:10<6:35:43, 1.33step/s] Training: 68%|██████▊ | 68418/100000 [13:53:11<6:18:38, 1.39step/s] Training: 68%|██████▊ | 68419/100000 [13:53:12<6:22:25, 1.38step/s] Training: 68%|██████▊ | 68420/100000 [13:53:12<6:24:45, 1.37step/s] Training: 68%|██████▊ | 68421/100000 [13:53:13<6:09:39, 1.42step/s] Training: 68%|██████▊ | 68422/100000 [13:53:14<6:24:51, 1.37step/s] Training: 68%|██████▊ | 68423/100000 [13:53:15<6:20:54, 1.38step/s] Training: 68%|██████▊ | 68424/100000 [13:53:15<6:20:23, 1.38step/s] Training: 68%|██████▊ | 68425/100000 [13:53:16<6:16:43, 1.40step/s] Training: 68%|██████▊ | 68426/100000 [13:53:17<5:57:19, 1.47step/s] Training: 68%|██████▊ | 68427/100000 [13:53:17<5:43:03, 1.53step/s] Training: 68%|██████▊ | 68428/100000 [13:53:18<5:55:16, 1.48step/s] Training: 68%|██████▊ | 68429/100000 [13:53:19<5:41:42, 1.54step/s] Training: 68%|██████▊ | 68430/100000 [13:53:19<5:52:45, 1.49step/s] Training: 68%|██████▊ | 68431/100000 [13:53:20<6:04:30, 1.44step/s] Training: 68%|██████▊ | 68432/100000 [13:53:21<6:12:20, 1.41step/s] Training: 68%|██████▊ | 68433/100000 [13:53:21<6:09:53, 1.42step/s] Training: 68%|██████▊ | 68434/100000 [13:53:22<5:53:07, 1.49step/s] Training: 68%|██████▊ | 68435/100000 [13:53:23<6:01:32, 1.46step/s] Training: 68%|██████▊ | 68436/100000 [13:53:23<5:57:03, 1.47step/s] Training: 68%|██████▊ | 68437/100000 [13:53:24<5:43:25, 1.53step/s] Training: 68%|██████▊ | 68438/100000 [13:53:25<5:42:45, 1.53step/s] Training: 68%|██████▊ | 68439/100000 [13:53:25<5:52:24, 1.49step/s] Training: 68%|██████▊ | 68440/100000 [13:53:28<10:10:26, 1.16s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) [Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=12313 Training: 68%|██████▊ | 68441/100000 [13:53:32<17:30:25, 2.00s/step] Training: 68%|██████▊ | 68442/100000 [13:53:32<13:57:48, 1.59s/step] Training: 68%|██████▊ | 68443/100000 [13:53:33<12:00:01, 1.37s/step] Training: 68%|██████▊ | 68444/100000 [13:53:34<10:30:07, 1.20s/step] Training: 68%|██████▊ | 68445/100000 [13:53:35<9:01:56, 1.03s/step] Training: 68%|██████▊ | 68446/100000 [13:53:35<8:16:56, 1.06step/s] Training: 68%|██████▊ | 68447/100000 [13:53:36<7:56:32, 1.10step/s] Training: 68%|██████▊ | 68448/100000 [13:53:37<7:47:29, 1.12step/s] Training: 68%|██████▊ | 68449/100000 [13:53:38<7:26:54, 1.18step/s] Training: 68%|██████▊ | 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[13:55:10<6:32:37, 1.33step/s] Training: 69%|██████▊ | 68578/100000 [13:55:11<6:13:01, 1.40step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=60670 Training: 69%|██████▊ | 68579/100000 [13:55:11<5:56:32, 1.47step/s] Training: 69%|██████▊ | 68580/100000 [13:55:12<6:07:07, 1.43step/s] Training: 69%|██████▊ | 68581/100000 [13:55:13<5:51:32, 1.49step/s] Training: 69%|██████▊ | 68582/100000 [13:55:13<6:07:22, 1.43step/s] Training: 69%|██████▊ | 68583/100000 [13:55:14<6:18:20, 1.38step/s] Training: 69%|██████▊ | 68584/100000 [13:55:15<6:22:22, 1.37step/s] Training: 69%|██████▊ | 68585/100000 [13:55:16<6:21:24, 1.37step/s] Training: 69%|██████▊ | 68586/100000 [13:55:16<6:05:17, 1.43step/s] Training: 69%|██████▊ | 68587/100000 [13:55:17<5:54:11, 1.48step/s] Training: 69%|██████▊ | 68588/100000 [13:55:18<5:59:50, 1.45step/s] Training: 69%|██████▊ | 68589/100000 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17:22:26 ot_train.py:435 step:69K smpl:4M ep:15K epch:58.48 loss:0.047 grdn:3.801 lr:5.2e-06 updt_s:0.690 data_s:0.013 Training: 69%|██████▉ | 69001/100000 [14:00:11<5:53:47, 1.46step/s] Training: 69%|██████▉ | 69002/100000 [14:00:12<6:00:35, 1.43step/s] Training: 69%|██████▉ | 69003/100000 [14:00:12<6:16:18, 1.37step/s] Training: 69%|██████▉ | 69004/100000 [14:00:13<6:12:50, 1.39step/s] Training: 69%|██████▉ | 69005/100000 [14:00:14<5:57:30, 1.44step/s] Training: 69%|██████▉ | 69006/100000 [14:00:14<6:02:20, 1.43step/s] Training: 69%|██████▉ | 69007/100000 [14:00:15<5:50:17, 1.47step/s] Training: 69%|██████▉ | 69008/100000 [14:00:16<6:06:36, 1.41step/s] Training: 69%|██████▉ | 69009/100000 [14:00:16<5:53:10, 1.46step/s] Training: 69%|██████▉ | 69010/100000 [14:00:17<6:07:37, 1.40step/s] Training: 69%|██████▉ | 69011/100000 [14:00:18<6:16:44, 1.37step/s] Training: 69%|██████▉ | 69012/100000 [14:00:19<5:56:28, 1.45step/s] Training: 69%|██████▉ | 69013/100000 [14:00:19<6:04:31, 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1.41step/s] Training: 69%|██████▉ | 69200/100000 [14:02:32<6:15:53, 1.37step/s]INFO 2026-03-12 17:24:47 ot_train.py:435 step:69K smpl:4M ep:15K epch:58.65 loss:0.047 grdn:3.222 lr:5.1e-06 updt_s:0.692 data_s:0.012 Training: 69%|██████▉ | 69201/100000 [14:02:32<6:01:06, 1.42step/s] Training: 69%|██████▉ | 69202/100000 [14:02:33<6:07:47, 1.40step/s] Training: 69%|██████▉ | 69203/100000 [14:02:34<5:53:51, 1.45step/s] Training: 69%|██████▉ | 69204/100000 [14:02:34<6:03:09, 1.41step/s] Training: 69%|██████▉ | 69205/100000 [14:02:35<5:50:42, 1.46step/s] Training: 69%|██████▉ | 69206/100000 [14:02:36<5:38:48, 1.51step/s] Training: 69%|██████▉ | 69207/100000 [14:02:36<5:51:52, 1.46step/s] Training: 69%|██████▉ | 69208/100000 [14:02:37<6:11:08, 1.38step/s] Training: 69%|██████▉ | 69209/100000 [14:02:38<5:53:35, 1.45step/s] Training: 69%|██████▉ | 69210/100000 [14:02:38<6:02:40, 1.41step/s] Training: 69%|██████▉ | 69211/100000 [14:02:39<5:50:06, 1.47step/s] Training: 69%|██████▉ | 69212/100000 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1.49step/s] Training: 70%|██████▉ | 69610/100000 [14:07:20<5:38:52, 1.49step/s] Training: 70%|██████▉ | 69611/100000 [14:07:21<5:27:30, 1.55step/s] Training: 70%|██████▉ | 69612/100000 [14:07:22<5:37:47, 1.50step/s] Training: 70%|██████▉ | 69613/100000 [14:07:22<5:26:21, 1.55step/s] Training: 70%|██████▉ | 69614/100000 [14:07:23<5:18:21, 1.59step/s] Training: 70%|██████▉ | 69615/100000 [14:07:24<5:22:20, 1.57step/s] Training: 70%|██████▉ | 69616/100000 [14:07:24<5:41:10, 1.48step/s] Training: 70%|██████▉ | 69617/100000 [14:07:25<5:32:23, 1.52step/s] Training: 70%|██████▉ | 69618/100000 [14:07:26<5:41:47, 1.48step/s] Training: 70%|██████▉ | 69619/100000 [14:07:26<5:29:27, 1.54step/s] Training: 70%|██████▉ | 69620/100000 [14:07:28<9:17:31, 1.10s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 70%|██████▉ | 69621/100000 [14:07:32<16:27:27, 1.95s/step] Training: 70%|██████▉ | 69622/100000 [14:07:33<13:11:00, 1.56s/step] Training: 70%|██████▉ | 69623/100000 [14:07:34<10:51:35, 1.29s/step] Training: 70%|██████▉ | 69624/100000 [14:07:35<9:43:39, 1.15s/step] Training: 70%|██████▉ | 69625/100000 [14:07:35<8:23:26, 1.01step/s] Training: 70%|██████▉ | 69626/100000 [14:07:36<7:27:57, 1.13step/s] Training: 70%|██████▉ | 69627/100000 [14:07:37<7:16:16, 1.16step/s] Training: 70%|██████▉ | 69628/100000 [14:07:37<7:10:38, 1.18step/s] Training: 70%|██████▉ | 69629/100000 [14:07:38<6:36:41, 1.28step/s] Training: 70%|██████▉ | 69630/100000 [14:07:39<6:13:34, 1.35step/s] Training: 70%|██████▉ | 69631/100000 [14:07:39<6:17:59, 1.34step/s] Training: 70%|██████▉ | 69632/100000 [14:07:40<6:24:19, 1.32step/s] 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lr:4.9e-06 updt_s:0.690 data_s:0.012 INFO 2026-03-12 17:34:16 ot_train.py:455 Checkpoint policy after step 70000 [Avatar] Pushing checkpoint (step 70000) to avatarrobotics/pi0fast-orange-hook-right-b64-20260312-0320... 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Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=62092 Training: 70%|███████ | 70127/100000 [14:14:37<5:43:11, 1.45step/s] Training: 70%|███████ | 70128/100000 [14:14:38<5:57:16, 1.39step/s] Training: 70%|███████ | 70129/100000 [14:14:38<5:43:16, 1.45step/s] Training: 70%|███████ | 70130/100000 [14:14:39<5:59:54, 1.38step/s] Training: 70%|███████ | 70131/100000 [14:14:40<5:45:28, 1.44step/s] Training: 70%|███████ | 70132/100000 [14:14:40<5:56:22, 1.40step/s] Training: 70%|███████ | 70133/100000 [14:14:41<5:46:42, 1.44step/s] Training: 70%|███████ | 70134/100000 [14:14:42<5:35:24, 1.48step/s] Training: 70%|███████ | 70135/100000 [14:14:42<5:49:22, 1.42step/s] Training: 70%|███████ | 70136/100000 [14:14:43<6:01:43, 1.38step/s] Training: 70%|███████ | 70137/100000 [14:14:44<5:52:32, 1.41step/s] Training: 70%|███████ | 70138/100000 [14:14:44<5:41:06, 1.46step/s] Training: 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1.42step/s] Training: 70%|███████ | 70240/100000 [14:15:55<5:59:52, 1.38step/s] Training: 70%|███████ | 70241/100000 [14:15:56<5:44:53, 1.44step/s] Training: 70%|███████ | 70242/100000 [14:15:57<5:35:11, 1.48step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=60013 Training: 70%|███████ | 70243/100000 [14:15:57<5:28:52, 1.51step/s] Training: 70%|███████ | 70244/100000 [14:15:58<5:49:09, 1.42step/s] Training: 70%|███████ | 70245/100000 [14:15:59<5:40:28, 1.46step/s] Training: 70%|███████ | 70246/100000 [14:15:59<5:54:10, 1.40step/s] Training: 70%|███████ | 70247/100000 [14:16:00<6:01:09, 1.37step/s] Training: 70%|███████ | 70248/100000 [14:16:01<6:12:30, 1.33step/s] Training: 70%|███████ | 70249/100000 [14:16:02<5:55:38, 1.39step/s] Training: 70%|███████ | 70250/100000 [14:16:02<5:41:27, 1.45step/s] Training: 70%|███████ | 70251/100000 [14:16:03<5:28:59, 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[14:16:13<5:47:11, 1.43step/s] Training: 70%|███████ | 70267/100000 [14:16:14<5:42:08, 1.45step/s] Training: 70%|███████ | 70268/100000 [14:16:15<5:54:53, 1.40step/s] Training: 70%|███████ | 70269/100000 [14:16:15<5:44:07, 1.44step/s] Training: 70%|███████ | 70270/100000 [14:16:16<6:00:57, 1.37step/s] Training: 70%|███████ | 70271/100000 [14:16:17<6:11:10, 1.33step/s] Training: 70%|███████ | 70272/100000 [14:16:18<6:12:33, 1.33step/s] Training: 70%|███████ | 70273/100000 [14:16:19<6:10:58, 1.34step/s] Training: 70%|███████ | 70274/100000 [14:16:19<5:53:15, 1.40step/s] Training: 70%|███████ | 70275/100000 [14:16:20<5:37:47, 1.47step/s] Training: 70%|███████ | 70276/100000 [14:16:21<5:50:12, 1.41step/s] Training: 70%|███████ | 70277/100000 [14:16:21<5:41:20, 1.45step/s] Training: 70%|███████ | 70278/100000 [14:16:22<5:32:24, 1.49step/s] Training: 70%|███████ | 70279/100000 [14:16:23<5:54:43, 1.40step/s] Training: 70%|███████ | 70280/100000 [14:16:23<6:07:03, 1.35step/s] Training: 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1.46step/s] Training: 70%|███████ | 70350/100000 [14:17:12<5:30:12, 1.50step/s] Training: 70%|███████ | 70351/100000 [14:17:13<5:43:53, 1.44step/s] Training: 70%|███████ | 70352/100000 [14:17:14<5:53:06, 1.40step/s] Training: 70%|███████ | 70353/100000 [14:17:14<6:02:21, 1.36step/s] Training: 70%|███████ | 70354/100000 [14:17:15<5:42:32, 1.44step/s] Training: 70%|███████ | 70355/100000 [14:17:16<5:35:29, 1.47step/s] Training: 70%|███████ | 70356/100000 [14:17:16<5:39:59, 1.45step/s] Training: 70%|███████ | 70357/100000 [14:17:17<5:48:16, 1.42step/s] Training: 70%|███████ | 70358/100000 [14:17:18<5:37:44, 1.46step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=62092 Training: 70%|███████ | 70359/100000 [14:17:18<5:46:17, 1.43step/s] Training: 70%|███████ | 70360/100000 [14:17:19<5:56:26, 1.39step/s] Training: 70%|███████ | 70361/100000 [14:17:20<6:04:18, 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[14:22:25<5:26:20, 1.49step/s] Training: 71%|███████ | 70789/100000 [14:22:26<5:36:01, 1.45step/s] Training: 71%|███████ | 70790/100000 [14:22:26<5:21:14, 1.52step/s] Training: 71%|███████ | 70791/100000 [14:22:27<5:28:18, 1.48step/s] Training: 71%|███████ | 70792/100000 [14:22:28<5:17:02, 1.54step/s] Training: 71%|███████ | 70793/100000 [14:22:28<5:29:58, 1.48step/s] Training: 71%|███████ | 70794/100000 [14:22:29<5:17:59, 1.53step/s] Training: 71%|███████ | 70795/100000 [14:22:30<5:09:08, 1.57step/s] Training: 71%|███████ | 70796/100000 [14:22:30<5:12:16, 1.56step/s] Training: 71%|███████ | 70797/100000 [14:22:31<5:26:42, 1.49step/s] Training: 71%|███████ | 70798/100000 [14:22:32<5:14:46, 1.55step/s] Training: 71%|███████ | 70799/100000 [14:22:32<5:15:10, 1.54step/s] Training: 71%|███████ | 70800/100000 [14:22:34<8:44:12, 1.08s/step]INFO 2026-03-12 17:44:50 ot_train.py:435 step:71K smpl:5M ep:15K epch:60.01 loss:0.046 grdn:3.725 lr:4.7e-06 updt_s:0.686 data_s:0.027 huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 71%|███████ | 70801/100000 [14:22:39<16:25:16, 2.02s/step] Training: 71%|███████ | 70802/100000 [14:22:39<13:04:12, 1.61s/step] Training: 71%|███████ | 70803/100000 [14:22:40<10:37:30, 1.31s/step] Training: 71%|███████ | 70804/100000 [14:22:40<8:56:20, 1.10s/step] Training: 71%|███████ | 70805/100000 [14:22:41<8:46:24, 1.08s/step] Training: 71%|███████ | 70806/100000 [14:22:42<8:16:10, 1.02s/step] Training: 71%|███████ | 70807/100000 [14:22:43<7:15:19, 1.12step/s] Training: 71%|███████ | 70808/100000 [14:22:44<7:03:35, 1.15step/s] Training: 71%|███████ | 70809/100000 [14:22:45<6:57:27, 1.17step/s] Training: 71%|███████ | 70810/100000 [14:22:45<6:26:02, 1.26step/s] Training: 71%|███████ | 70811/100000 [14:22:46<6:03:39, 1.34step/s] Training: 71%|███████ | 70812/100000 [14:22:47<6:10:37, 1.31step/s] 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[14:22:57<5:35:25, 1.45step/s] Training: 71%|███████ | 70828/100000 [14:22:58<5:40:20, 1.43step/s] Training: 71%|███████ | 70829/100000 [14:22:59<5:44:10, 1.41step/s] Training: 71%|███████ | 70830/100000 [14:23:00<5:53:18, 1.38step/s] Training: 71%|███████ | 70831/100000 [14:23:00<5:38:30, 1.44step/s] Training: 71%|███████ | 70832/100000 [14:23:01<5:44:31, 1.41step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=6682 Training: 71%|███████ | 70833/100000 [14:23:02<5:56:23, 1.36step/s] Training: 71%|███████ | 70834/100000 [14:23:02<5:40:22, 1.43step/s] Training: 71%|███████ | 70835/100000 [14:23:03<5:29:20, 1.48step/s] Training: 71%|███████ | 70836/100000 [14:23:04<5:19:54, 1.52step/s] Training: 71%|███████ | 70837/100000 [14:23:05<5:54:18, 1.37step/s] Training: 71%|███████ | 70838/100000 [14:23:05<5:37:26, 1.44step/s] Training: 71%|███████ | 70839/100000 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[14:24:38<5:51:53, 1.38step/s] Training: 71%|███████ | 70970/100000 [14:24:39<6:12:44, 1.30step/s] Training: 71%|███████ | 70971/100000 [14:24:39<5:52:19, 1.37step/s] Training: 71%|███████ | 70972/100000 [14:24:40<5:53:01, 1.37step/s] Training: 71%|███████ | 70973/100000 [14:24:41<5:59:13, 1.35step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=1882 Training: 71%|███████ | 70974/100000 [14:24:41<5:46:06, 1.40step/s] Training: 71%|███████ | 70975/100000 [14:24:42<5:35:18, 1.44step/s] Training: 71%|███████ | 70976/100000 [14:24:43<5:51:47, 1.38step/s] Training: 71%|███████ | 70977/100000 [14:24:44<5:59:24, 1.35step/s] Training: 71%|███████ | 70978/100000 [14:24:44<6:11:38, 1.30step/s] Training: 71%|███████ | 70979/100000 [14:24:45<5:50:33, 1.38step/s] Training: 71%|███████ | 70980/100000 [14:24:46<5:55:47, 1.36step/s] Training: 71%|███████ | 70981/100000 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| 71292/100000 [14:28:29<5:46:46, 1.38step/s] Training: 71%|███████▏ | 71293/100000 [14:28:30<5:55:06, 1.35step/s] Training: 71%|███████▏ | 71294/100000 [14:28:30<5:35:37, 1.43step/s] Training: 71%|███████▏ | 71295/100000 [14:28:31<5:21:35, 1.49step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=66297 Training: 71%|███████▏ | 71296/100000 [14:28:31<5:31:35, 1.44step/s] Training: 71%|███████▏ | 71297/100000 [14:28:32<5:43:03, 1.39step/s] Training: 71%|███████▏ | 71298/100000 [14:28:33<5:50:24, 1.37step/s] Training: 71%|███████▏ | 71299/100000 [14:28:34<5:55:38, 1.35step/s] Training: 71%|███████▏ | 71300/100000 [14:28:35<5:57:30, 1.34step/s]INFO 2026-03-12 17:50:50 ot_train.py:435 step:71K smpl:5M ep:16K epch:60.43 loss:0.046 grdn:3.406 lr:4.6e-06 updt_s:0.699 data_s:0.012 Training: 71%|███████▏ | 71301/100000 [14:28:35<5:53:01, 1.35step/s] Training: 71%|███████▏ | 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| 71389/100000 [14:29:38<5:49:56, 1.36step/s] Training: 71%|███████▏ | 71390/100000 [14:29:39<5:35:59, 1.42step/s] Training: 71%|███████▏ | 71391/100000 [14:29:39<5:21:44, 1.48step/s] Training: 71%|███████▏ | 71392/100000 [14:29:40<5:36:17, 1.42step/s] Training: 71%|███████▏ | 71393/100000 [14:29:41<5:46:25, 1.38step/s] Training: 71%|███████▏ | 71394/100000 [14:29:42<5:54:04, 1.35step/s] Training: 71%|███████▏ | 71395/100000 [14:29:42<5:34:24, 1.43step/s] Training: 71%|███████▏ | 71396/100000 [14:29:43<5:36:08, 1.42step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=63097 Training: 71%|███████▏ | 71397/100000 [14:29:44<5:36:47, 1.42step/s] Training: 71%|███████▏ | 71398/100000 [14:29:44<5:47:15, 1.37step/s] Training: 71%|███████▏ | 71399/100000 [14:29:45<5:31:50, 1.44step/s] Training: 71%|███████▏ | 71400/100000 [14:29:46<5:40:10, 1.40step/s]INFO 2026-03-12 17:52:02 ot_train.py:435 step:71K smpl:5M ep:16K epch:60.52 loss:0.044 grdn:3.480 lr:4.6e-06 updt_s:0.697 data_s:0.013 Training: 71%|███████▏ | 71401/100000 [14:29:46<5:48:36, 1.37step/s] Training: 71%|███████▏ | 71402/100000 [14:29:47<5:53:45, 1.35step/s] Training: 71%|███████▏ | 71403/100000 [14:29:48<5:36:45, 1.42step/s] Training: 71%|███████▏ | 71404/100000 [14:29:49<5:38:25, 1.41step/s] Training: 71%|███████▏ | 71405/100000 [14:29:49<5:41:21, 1.40step/s] Training: 71%|███████▏ | 71406/100000 [14:29:50<5:43:19, 1.39step/s] Training: 71%|███████▏ | 71407/100000 [14:29:51<5:28:59, 1.45step/s] Training: 71%|███████▏ | 71408/100000 [14:29:51<5:35:27, 1.42step/s] Training: 71%|███████▏ | 71409/100000 [14:29:52<5:40:57, 1.40step/s] Training: 71%|███████▏ | 71410/100000 [14:29:53<5:44:08, 1.38step/s] Training: 71%|███████▏ | 71411/100000 [14:29:54<5:27:28, 1.45step/s] Training: 71%|███████▏ | 71412/100000 [14:29:54<5:35:36, 1.42step/s] Training: 71%|███████▏ | 71413/100000 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1.43step/s] Training: 72%|███████▏ | 71952/100000 [14:36:22<5:27:55, 1.43step/s] Training: 72%|███████▏ | 71953/100000 [14:36:23<5:36:30, 1.39step/s] Training: 72%|███████▏ | 71954/100000 [14:36:24<5:38:08, 1.38step/s] Training: 72%|███████▏ | 71955/100000 [14:36:25<5:38:55, 1.38step/s] Training: 72%|███████▏ | 71956/100000 [14:36:25<5:49:30, 1.34step/s] Training: 72%|███████▏ | 71957/100000 [14:36:26<5:29:00, 1.42step/s] Training: 72%|███████▏ | 71958/100000 [14:36:27<5:37:19, 1.39step/s] Training: 72%|███████▏ | 71959/100000 [14:36:27<5:24:43, 1.44step/s] Training: 72%|███████▏ | 71960/100000 [14:36:28<5:37:01, 1.39step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=40926 Training: 72%|███████▏ | 71961/100000 [14:36:29<5:39:43, 1.38step/s] Training: 72%|███████▏ | 71962/100000 [14:36:29<5:25:56, 1.43step/s] Training: 72%|███████▏ | 71963/100000 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Training: 72%|███████▏ | 71978/100000 [14:36:41<5:27:23, 1.43step/s] Training: 72%|███████▏ | 71979/100000 [14:36:41<5:24:20, 1.44step/s] Training: 72%|███████▏ | 71980/100000 [14:36:44<9:02:55, 1.16s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 72%|███████▏ | 71981/100000 [14:36:47<15:14:40, 1.96s/step] Training: 72%|███████▏ | 71982/100000 [14:36:48<12:13:18, 1.57s/step] Training: 72%|███████▏ | 71983/100000 [14:36:49<10:23:53, 1.34s/step] Training: 72%|███████▏ | 71984/100000 [14:36:49<8:44:25, 1.12s/step] Training: 72%|███████▏ | 71985/100000 [14:36:50<8:18:26, 1.07s/step] Training: 72%|███████▏ | 71986/100000 [14:36:51<7:35:08, 1.03step/s] Training: 72%|███████▏ | 71987/100000 [14:36:52<6:47:19, 1.15step/s] Training: 72%|███████▏ | 71988/100000 [14:36:53<6:35:15, 1.18step/s] Training: 72%|███████▏ | 71989/100000 [14:36:53<6:21:42, 1.22step/s] Training: 72%|███████▏ | 71990/100000 [14:36:54<5:54:15, 1.32step/s] Training: 72%|███████▏ | 71991/100000 [14:36:55<5:49:14, 1.34step/s] Training: 72%|███████▏ | 71992/100000 [14:36:55<5:51:41, 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| 72291/100000 [14:40:25<5:17:38, 1.45step/s] Training: 72%|███████▏ | 72292/100000 [14:40:26<5:27:03, 1.41step/s] Training: 72%|███████▏ | 72293/100000 [14:40:26<5:14:32, 1.47step/s] Training: 72%|███████▏ | 72294/100000 [14:40:27<5:26:44, 1.41step/s] Training: 72%|███████▏ | 72295/100000 [14:40:28<5:15:19, 1.46step/s] Training: 72%|███████▏ | 72296/100000 [14:40:28<5:08:25, 1.50step/s] Training: 72%|███████▏ | 72297/100000 [14:40:29<5:27:35, 1.41step/s] Training: 72%|███████▏ | 72298/100000 [14:40:30<5:29:02, 1.40step/s] Training: 72%|███████▏ | 72299/100000 [14:40:30<5:18:47, 1.45step/s] Training: 72%|███████▏ | 72300/100000 [14:40:31<5:34:53, 1.38step/s]INFO 2026-03-12 18:02:47 ot_train.py:435 step:72K smpl:5M ep:16K epch:61.28 loss:0.044 grdn:3.905 lr:4.4e-06 updt_s:0.677 data_s:0.012 Training: 72%|███████▏ | 72301/100000 [14:40:32<5:19:52, 1.44step/s] Training: 72%|███████▏ | 72302/100000 [14:40:33<5:35:21, 1.38step/s] Training: 72%|███████▏ | 72303/100000 [14:40:33<5:18:56, 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| 72318/100000 [14:40:44<5:04:41, 1.51step/s] Training: 72%|███████▏ | 72319/100000 [14:40:44<5:22:20, 1.43step/s] Training: 72%|███████▏ | 72320/100000 [14:40:45<5:08:51, 1.49step/s] Training: 72%|███████▏ | 72321/100000 [14:40:46<5:24:22, 1.42step/s] Training: 72%|███████▏ | 72322/100000 [14:40:47<5:33:28, 1.38step/s] Training: 72%|███████▏ | 72323/100000 [14:40:47<5:20:10, 1.44step/s] Training: 72%|███████▏ | 72324/100000 [14:40:48<5:21:51, 1.43step/s] Training: 72%|███████▏ | 72325/100000 [14:40:49<5:12:42, 1.48step/s] Training: 72%|███████▏ | 72326/100000 [14:40:49<5:02:27, 1.52step/s] Training: 72%|███████▏ | 72327/100000 [14:40:50<5:14:48, 1.47step/s] Training: 72%|███████▏ | 72328/100000 [14:40:51<5:06:18, 1.51step/s] Training: 72%|███████▏ | 72329/100000 [14:40:51<5:24:59, 1.42step/s] Training: 72%|███████▏ | 72330/100000 [14:40:52<5:25:31, 1.42step/s] Training: 72%|███████▏ | 72331/100000 [14:40:53<5:14:27, 1.47step/s] Training: 72%|███████▏ | 72332/100000 [14:40:53<5:28:36, 1.40step/s] Training: 72%|███████▏ | 72333/100000 [14:40:54<5:13:40, 1.47step/s] Training: 72%|███████▏ | 72334/100000 [14:40:55<5:05:53, 1.51step/s] Training: 72%|███████▏ | 72335/100000 [14:40:55<5:14:33, 1.47step/s] Training: 72%|███████▏ | 72336/100000 [14:40:56<5:03:28, 1.52step/s] Training: 72%|███████▏ | 72337/100000 [14:40:57<5:17:11, 1.45step/s] Training: 72%|███████▏ | 72338/100000 [14:40:57<5:25:29, 1.42step/s] Training: 72%|███████▏ | 72339/100000 [14:40:58<5:11:37, 1.48step/s] Training: 72%|███████▏ | 72340/100000 [14:40:59<5:23:25, 1.43step/s] Training: 72%|███████▏ | 72341/100000 [14:40:59<5:13:03, 1.47step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=40211 Training: 72%|███████▏ | 72342/100000 [14:41:00<5:05:49, 1.51step/s] Training: 72%|███████▏ | 72343/100000 [14:41:01<5:17:04, 1.45step/s] Training: 72%|███████▏ | 72344/100000 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72373/100000 [14:41:22<5:17:46, 1.45step/s] Training: 72%|███████▏ | 72374/100000 [14:41:22<5:06:33, 1.50step/s] Training: 72%|███████▏ | 72375/100000 [14:41:23<5:03:53, 1.52step/s] Training: 72%|███████▏ | 72376/100000 [14:41:24<4:58:44, 1.54step/s] Training: 72%|███████▏ | 72377/100000 [14:41:25<5:16:00, 1.46step/s] Training: 72%|███████▏ | 72378/100000 [14:41:25<5:27:38, 1.41step/s] Training: 72%|███████▏ | 72379/100000 [14:41:26<5:15:21, 1.46step/s] Training: 72%|███████▏ | 72380/100000 [14:41:27<5:30:04, 1.39step/s] Training: 72%|███████▏ | 72381/100000 [14:41:27<5:16:50, 1.45step/s] Training: 72%|███████▏ | 72382/100000 [14:41:28<5:05:31, 1.51step/s] Training: 72%|███████▏ | 72383/100000 [14:41:29<5:00:05, 1.53step/s] Training: 72%|███████▏ | 72384/100000 [14:41:29<4:56:22, 1.55step/s] Training: 72%|███████▏ | 72385/100000 [14:41:30<5:11:46, 1.48step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=51 Training: 72%|███████▏ | 72386/100000 [14:41:31<5:26:55, 1.41step/s] Training: 72%|███████▏ | 72387/100000 [14:41:31<5:12:15, 1.47step/s] Training: 72%|███████▏ | 72388/100000 [14:41:32<5:18:53, 1.44step/s] Training: 72%|███████▏ | 72389/100000 [14:41:33<5:09:16, 1.49step/s] Training: 72%|███████▏ | 72390/100000 [14:41:33<5:03:08, 1.52step/s] Training: 72%|███████▏ | 72391/100000 [14:41:34<4:59:32, 1.54step/s] Training: 72%|███████▏ | 72392/100000 [14:41:35<4:54:43, 1.56step/s] Training: 72%|███████▏ | 72393/100000 [14:41:35<5:10:10, 1.48step/s] Training: 72%|███████▏ | 72394/100000 [14:41:36<5:32:03, 1.39step/s] Training: 72%|███████▏ | 72395/100000 [14:41:37<5:20:21, 1.44step/s] Training: 72%|███████▏ | 72396/100000 [14:41:38<5:30:09, 1.39step/s] Training: 72%|███████▏ | 72397/100000 [14:41:38<5:17:19, 1.45step/s] Training: 72%|███████▏ | 72398/100000 [14:41:39<5:08:26, 1.49step/s] Training: 72%|███████▏ | 72399/100000 [14:41:39<5:03:35, 1.52step/s] Training: 72%|███████▏ | 72400/100000 [14:41:40<5:00:26, 1.53step/s]INFO 2026-03-12 18:03:56 ot_train.py:435 step:72K smpl:5M ep:16K epch:61.37 loss:0.045 grdn:3.450 lr:4.4e-06 updt_s:0.674 data_s:0.012 Training: 72%|███████▏ | 72401/100000 [14:41:41<5:16:29, 1.45step/s] Training: 72%|███████▏ | 72402/100000 [14:41:42<5:26:35, 1.41step/s] Training: 72%|███████▏ | 72403/100000 [14:41:42<5:15:55, 1.46step/s] Training: 72%|███████▏ | 72404/100000 [14:41:43<5:32:28, 1.38step/s] Training: 72%|███████▏ | 72405/100000 [14:41:44<5:19:49, 1.44step/s] Training: 72%|███████▏ | 72406/100000 [14:41:44<5:10:11, 1.48step/s] Training: 72%|███████▏ | 72407/100000 [14:41:45<5:05:44, 1.50step/s] Training: 72%|███████▏ | 72408/100000 [14:41:46<4:58:42, 1.54step/s] Training: 72%|███████▏ | 72409/100000 [14:41:46<5:13:56, 1.46step/s] Training: 72%|███████▏ | 72410/100000 [14:41:47<5:23:12, 1.42step/s] Training: 72%|███████▏ | 72411/100000 [14:41:48<5:32:23, 1.38step/s] 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1.44step/s] Training: 72%|███████▏ | 72470/100000 [14:42:29<5:05:50, 1.50step/s] Training: 72%|███████▏ | 72471/100000 [14:42:29<4:57:19, 1.54step/s] Training: 72%|███████▏ | 72472/100000 [14:42:30<4:54:22, 1.56step/s] Training: 72%|███████▏ | 72473/100000 [14:42:31<5:11:46, 1.47step/s] Training: 72%|███████▏ | 72474/100000 [14:42:31<5:22:23, 1.42step/s] Training: 72%|███████▏ | 72475/100000 [14:42:32<5:15:01, 1.46step/s] Training: 72%|███████▏ | 72476/100000 [14:42:33<5:25:31, 1.41step/s] Training: 72%|███████▏ | 72477/100000 [14:42:33<5:32:00, 1.38step/s] Training: 72%|███████▏ | 72478/100000 [14:42:34<5:18:15, 1.44step/s] Training: 72%|███████▏ | 72479/100000 [14:42:35<5:05:44, 1.50step/s] Training: 72%|███████▏ | 72480/100000 [14:42:35<5:00:31, 1.53step/s] Training: 72%|███████▏ | 72481/100000 [14:42:36<5:20:11, 1.43step/s] Training: 72%|███████▏ | 72482/100000 [14:42:37<5:32:51, 1.38step/s] Training: 72%|███████▏ | 72483/100000 [14:42:37<5:17:19, 1.45step/s] Training: 72%|███████▏ | 72484/100000 [14:42:38<5:31:22, 1.38step/s] Training: 72%|███████▏ | 72485/100000 [14:42:39<5:30:11, 1.39step/s] Training: 72%|███████▏ | 72486/100000 [14:42:40<5:19:31, 1.44step/s] Training: 72%|███████▏ | 72487/100000 [14:42:40<5:12:03, 1.47step/s] Training: 72%|███████▏ | 72488/100000 [14:42:41<5:05:08, 1.50step/s] Training: 72%|███████▏ | 72489/100000 [14:42:42<5:26:07, 1.41step/s] Training: 72%|███████▏ | 72490/100000 [14:42:43<5:34:35, 1.37step/s] Training: 72%|███████▏ | 72491/100000 [14:42:43<5:22:52, 1.42step/s] Training: 72%|███████▏ | 72492/100000 [14:42:44<5:35:28, 1.37step/s] Training: 72%|███████▏ | 72493/100000 [14:42:45<5:33:23, 1.38step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=45160 Training: 72%|███████▏ | 72494/100000 [14:42:45<5:22:21, 1.42step/s] Training: 72%|███████▏ | 72495/100000 [14:42:46<5:16:45, 1.45step/s] Training: 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| 72736/100000 [14:45:36<5:05:42, 1.49step/s] Training: 73%|███████▎ | 72737/100000 [14:45:37<5:19:47, 1.42step/s] Training: 73%|███████▎ | 72738/100000 [14:45:38<5:31:34, 1.37step/s] Training: 73%|███████▎ | 72739/100000 [14:45:38<5:34:09, 1.36step/s] Training: 73%|███████▎ | 72740/100000 [14:45:39<5:34:24, 1.36step/s] Training: 73%|███████▎ | 72741/100000 [14:45:40<5:32:58, 1.36step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=45160 Training: 73%|███████▎ | 72742/100000 [14:45:40<5:19:25, 1.42step/s] Training: 73%|███████▎ | 72743/100000 [14:45:41<5:10:01, 1.47step/s] Training: 73%|███████▎ | 72744/100000 [14:45:42<5:02:51, 1.50step/s] Training: 73%|███████▎ | 72745/100000 [14:45:42<5:11:50, 1.46step/s] Training: 73%|███████▎ | 72746/100000 [14:45:43<5:22:21, 1.41step/s] Training: 73%|███████▎ | 72747/100000 [14:45:44<5:31:32, 1.37step/s] Training: 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[14:45:55<5:28:11, 1.38step/s] Training: 73%|███████▎ | 72763/100000 [14:45:55<5:24:53, 1.40step/s] Training: 73%|███████▎ | 72764/100000 [14:45:56<5:33:14, 1.36step/s] Training: 73%|███████▎ | 72765/100000 [14:45:57<5:49:10, 1.30step/s] Training: 73%|███████▎ | 72766/100000 [14:45:57<5:28:18, 1.38step/s] Training: 73%|███████▎ | 72767/100000 [14:45:58<5:12:39, 1.45step/s] Training: 73%|███████▎ | 72768/100000 [14:45:59<5:00:51, 1.51step/s] Training: 73%|███████▎ | 72769/100000 [14:45:59<5:17:52, 1.43step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=71496 Training: 73%|███████▎ | 72770/100000 [14:46:00<5:33:02, 1.36step/s] Training: 73%|███████▎ | 72771/100000 [14:46:01<5:28:09, 1.38step/s] Training: 73%|███████▎ | 72772/100000 [14:46:02<5:35:24, 1.35step/s] Training: 73%|███████▎ | 72773/100000 [14:46:02<5:32:27, 1.36step/s] Training: 73%|███████▎ | 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1.31step/s] Training: 73%|███████▎ | 72789/100000 [14:46:14<5:44:12, 1.32step/s] Training: 73%|███████▎ | 72790/100000 [14:46:15<5:26:33, 1.39step/s] Training: 73%|███████▎ | 72791/100000 [14:46:15<5:12:14, 1.45step/s] Training: 73%|███████▎ | 72792/100000 [14:46:16<5:01:38, 1.50step/s] Training: 73%|███████▎ | 72793/100000 [14:46:17<5:19:26, 1.42step/s] Training: 73%|███████▎ | 72794/100000 [14:46:17<5:28:46, 1.38step/s] Training: 73%|███████▎ | 72795/100000 [14:46:18<5:36:28, 1.35step/s] Training: 73%|███████▎ | 72796/100000 [14:46:19<5:53:37, 1.28step/s] Training: 73%|███████▎ | 72797/100000 [14:46:20<5:43:24, 1.32step/s] Training: 73%|███████▎ | 72798/100000 [14:46:20<5:23:22, 1.40step/s] Training: 73%|███████▎ | 72799/100000 [14:46:21<5:13:53, 1.44step/s] Training: 73%|███████▎ | 72800/100000 [14:46:22<5:05:20, 1.48step/s]INFO 2026-03-12 18:08:38 ot_train.py:435 step:73K smpl:5M ep:16K epch:61.71 loss:0.045 grdn:3.254 lr:4.3e-06 updt_s:0.696 data_s:0.012 Training: 73%|███████▎ | 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1.40step/s] Training: 73%|███████▎ | 72874/100000 [14:47:15<5:19:04, 1.42step/s] Training: 73%|███████▎ | 72875/100000 [14:47:15<5:09:19, 1.46step/s] Training: 73%|███████▎ | 72876/100000 [14:47:16<5:20:40, 1.41step/s] Training: 73%|███████▎ | 72877/100000 [14:47:17<5:25:46, 1.39step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=62293 Training: 73%|███████▎ | 72878/100000 [14:47:18<5:26:36, 1.38step/s] Training: 73%|███████▎ | 72879/100000 [14:47:18<5:12:51, 1.44step/s] Training: 73%|███████▎ | 72880/100000 [14:47:19<5:04:01, 1.49step/s] Training: 73%|███████▎ | 72881/100000 [14:47:20<5:16:20, 1.43step/s] Training: 73%|███████▎ | 72882/100000 [14:47:20<5:20:14, 1.41step/s] Training: 73%|███████▎ | 72883/100000 [14:47:21<5:27:37, 1.38step/s] Training: 73%|███████▎ | 72884/100000 [14:47:22<5:36:00, 1.35step/s] Training: 73%|███████▎ | 72885/100000 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Training: 73%|███████▎ | 72900/100000 [14:47:33<5:29:19, 1.37step/s]INFO 2026-03-12 18:09:49 ot_train.py:435 step:73K smpl:5M ep:16K epch:61.79 loss:0.046 grdn:3.498 lr:4.3e-06 updt_s:0.703 data_s:0.012 Training: 73%|███████▎ | 72901/100000 [14:47:34<5:26:06, 1.38step/s] Training: 73%|███████▎ | 72902/100000 [14:47:35<5:10:29, 1.45step/s] Training: 73%|███████▎ | 72903/100000 [14:47:35<5:31:09, 1.36step/s] Training: 73%|███████▎ | 72904/100000 [14:47:36<5:14:58, 1.43step/s] Training: 73%|███████▎ | 72905/100000 [14:47:37<5:21:31, 1.40step/s] Training: 73%|███████▎ | 72906/100000 [14:47:38<5:27:09, 1.38step/s] Training: 73%|███████▎ | 72907/100000 [14:47:38<5:15:30, 1.43step/s] Training: 73%|███████▎ | 72908/100000 [14:47:39<5:24:31, 1.39step/s] Training: 73%|███████▎ | 72909/100000 [14:47:40<5:30:43, 1.37step/s] Training: 73%|███████▎ | 72910/100000 [14:47:40<5:14:36, 1.44step/s] Training: 73%|███████▎ | 72911/100000 [14:47:41<5:21:39, 1.40step/s] Training: 73%|███████▎ | 72912/100000 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| 72970/100000 [14:48:24<5:32:29, 1.35step/s] Training: 73%|███████▎ | 72971/100000 [14:48:25<5:19:53, 1.41step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=418 Training: 73%|███████▎ | 72972/100000 [14:48:25<5:31:11, 1.36step/s] Training: 73%|███████▎ | 72973/100000 [14:48:26<5:40:12, 1.32step/s] Training: 73%|███████▎ | 72974/100000 [14:48:27<5:24:29, 1.39step/s] Training: 73%|███████▎ | 72975/100000 [14:48:27<5:11:12, 1.45step/s] Training: 73%|███████▎ | 72976/100000 [14:48:28<5:03:39, 1.48step/s] Training: 73%|███████▎ | 72977/100000 [14:48:29<5:26:11, 1.38step/s] Training: 73%|███████▎ | 72978/100000 [14:48:30<5:27:55, 1.37step/s] Training: 73%|███████▎ | 72979/100000 [14:48:30<5:30:48, 1.36step/s] Training: 73%|███████▎ | 72980/100000 [14:48:31<5:38:33, 1.33step/s] Training: 73%|███████▎ | 72981/100000 [14:48:32<5:40:09, 1.32step/s] Training: 73%|███████▎ 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Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 73%|███████▎ | 73161/100000 [14:50:44<15:26:34, 2.07s/step] Training: 73%|███████▎ | 73162/100000 [14:50:45<12:13:19, 1.64s/step] Training: 73%|███████▎ | 73163/100000 [14:50:45<10:25:20, 1.40s/step] Training: 73%|███████▎ | 73164/100000 [14:50:46<9:08:11, 1.23s/step] Training: 73%|███████▎ | 73165/100000 [14:50:47<8:12:12, 1.10s/step] Training: 73%|███████▎ | 73166/100000 [14:50:48<7:26:31, 1.00step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=22915 Training: 73%|███████▎ | 73167/100000 [14:50:48<6:36:03, 1.13step/s] Training: 73%|███████▎ | 73168/100000 [14:50:49<6:03:06, 1.23step/s] Training: 73%|███████▎ | 73169/100000 [14:50:50<6:04:22, 1.23step/s] Training: 73%|███████▎ | 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frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=10011 Training: 73%|███████▎ | 73340/100000 [14:52:53<5:30:11, 1.35step/s] Training: 73%|███████▎ | 73341/100000 [14:52:54<5:24:56, 1.37step/s] Training: 73%|███████▎ | 73342/100000 [14:52:54<5:11:41, 1.43step/s] Training: 73%|███████▎ | 73343/100000 [14:52:55<5:01:07, 1.48step/s] Training: 73%|███████▎ | 73344/100000 [14:52:56<4:51:22, 1.52step/s] Training: 73%|███████▎ | 73345/100000 [14:52:56<5:11:05, 1.43step/s] Training: 73%|███████▎ | 73346/100000 [14:52:57<5:25:15, 1.37step/s] Training: 73%|███████▎ | 73347/100000 [14:52:58<5:34:50, 1.33step/s] Training: 73%|███████▎ | 73348/100000 [14:52:59<5:29:56, 1.35step/s] Training: 73%|███████▎ | 73349/100000 [14:52:59<5:28:54, 1.35step/s] Training: 73%|███████▎ | 73350/100000 [14:53:00<5:11:05, 1.43step/s] Training: 73%|███████▎ | 73351/100000 [14:53:01<5:01:22, 1.47step/s] Training: 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1.38step/s] Training: 74%|███████▎ | 73522/100000 [14:55:03<5:24:48, 1.36step/s] Training: 74%|███████▎ | 73523/100000 [14:55:04<5:26:06, 1.35step/s] Training: 74%|███████▎ | 73524/100000 [14:55:05<5:32:16, 1.33step/s] Training: 74%|███████▎ | 73525/100000 [14:55:05<5:38:52, 1.30step/s] Training: 74%|███████▎ | 73526/100000 [14:55:06<5:20:52, 1.38step/s] Training: 74%|███████▎ | 73527/100000 [14:55:07<5:08:50, 1.43step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=25731 Training: 74%|███████▎ | 73528/100000 [14:55:07<5:20:37, 1.38step/s] Training: 74%|███████▎ | 73529/100000 [14:55:08<5:28:22, 1.34step/s] Training: 74%|███████▎ | 73530/100000 [14:55:09<5:22:13, 1.37step/s] Training: 74%|███████▎ | 73531/100000 [14:55:10<5:30:47, 1.33step/s] Training: 74%|███████▎ | 73532/100000 [14:55:10<5:26:28, 1.35step/s] Training: 74%|███████▎ | 73533/100000 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Training: 74%|███████▎ | 73548/100000 [14:55:22<5:29:39, 1.34step/s] Training: 74%|███████▎ | 73549/100000 [14:55:23<5:33:24, 1.32step/s] Training: 74%|███████▎ | 73550/100000 [14:55:23<5:17:34, 1.39step/s] Training: 74%|███████▎ | 73551/100000 [14:55:24<5:01:57, 1.46step/s] Training: 74%|███████▎ | 73552/100000 [14:55:25<4:51:05, 1.51step/s] Training: 74%|███████▎ | 73553/100000 [14:55:25<5:07:12, 1.43step/s] Training: 74%|███████▎ | 73554/100000 [14:55:26<5:16:26, 1.39step/s] Training: 74%|███████▎ | 73555/100000 [14:55:27<5:22:07, 1.37step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=71169 Training: 74%|███████▎ | 73556/100000 [14:55:28<5:29:45, 1.34step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=59166 Training: 74%|███████▎ | 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1.40step/s] Training: 74%|███████▎ | 73572/100000 [14:55:39<5:19:21, 1.38step/s] Training: 74%|███████▎ | 73573/100000 [14:55:40<5:21:55, 1.37step/s] Training: 74%|███████▎ | 73574/100000 [14:55:40<5:07:40, 1.43step/s] Training: 74%|███████▎ | 73575/100000 [14:55:41<4:55:03, 1.49step/s] Training: 74%|███████▎ | 73576/100000 [14:55:42<4:50:28, 1.52step/s] Training: 74%|███████▎ | 73577/100000 [14:55:42<5:03:12, 1.45step/s] Training: 74%|███████▎ | 73578/100000 [14:55:43<5:15:38, 1.40step/s] Training: 74%|███████▎ | 73579/100000 [14:55:44<5:19:55, 1.38step/s] Training: 74%|███████▎ | 73580/100000 [14:55:45<5:23:45, 1.36step/s] Training: 74%|███████▎ | 73581/100000 [14:55:45<5:25:10, 1.35step/s] Training: 74%|███████▎ | 73582/100000 [14:55:46<5:28:14, 1.34step/s] Training: 74%|███████▎ | 73583/100000 [14:55:47<5:12:24, 1.41step/s] Training: 74%|███████▎ | 73584/100000 [14:55:47<5:00:24, 1.47step/s] Training: 74%|███████▎ | 73585/100000 [14:55:48<5:12:59, 1.41step/s] Training: 74%|███████▎ | 73586/100000 [14:55:49<5:28:53, 1.34step/s] Training: 74%|███████▎ | 73587/100000 [14:55:50<5:32:45, 1.32step/s] Training: 74%|███████▎ | 73588/100000 [14:55:51<5:34:19, 1.32step/s] Training: 74%|███████▎ | 73589/100000 [14:55:51<5:36:08, 1.31step/s] Training: 74%|███████▎ | 73590/100000 [14:55:52<5:38:05, 1.30step/s] Training: 74%|███████▎ | 73591/100000 [14:55:53<5:20:39, 1.37step/s] Training: 74%|███████▎ | 73592/100000 [14:55:53<5:09:18, 1.42step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=75049 Training: 74%|███████▎ | 73593/100000 [14:55:54<5:23:11, 1.36step/s] Training: 74%|███████▎ | 73594/100000 [14:55:55<5:27:40, 1.34step/s] Training: 74%|███████▎ | 73595/100000 [14:55:56<5:22:48, 1.36step/s] Training: 74%|███████▎ | 73596/100000 [14:55:56<5:19:45, 1.38step/s] Training: 74%|███████▎ | 73597/100000 [14:55:57<5:19:34, 1.38step/s] Training: 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| 73668/100000 [14:56:49<5:17:21, 1.38step/s] Training: 74%|███████▎ | 73669/100000 [14:56:49<5:22:06, 1.36step/s] Training: 74%|███████▎ | 73670/100000 [14:56:50<5:25:54, 1.35step/s] Training: 74%|███████▎ | 73671/100000 [14:56:51<5:10:06, 1.42step/s] Training: 74%|███████▎ | 73672/100000 [14:56:51<4:59:44, 1.46step/s] Training: 74%|███████▎ | 73673/100000 [14:56:52<5:07:51, 1.43step/s] Training: 74%|███████▎ | 73674/100000 [14:56:53<5:15:10, 1.39step/s] Training: 74%|███████▎ | 73675/100000 [14:56:54<5:18:25, 1.38step/s] Training: 74%|███████▎ | 73676/100000 [14:56:54<5:25:55, 1.35step/s] Training: 74%|███████▎ | 73677/100000 [14:56:55<5:28:45, 1.33step/s] Training: 74%|███████▎ | 73678/100000 [14:56:56<5:29:12, 1.33step/s] Training: 74%|███████▎ | 73679/100000 [14:56:57<5:14:25, 1.40step/s] Training: 74%|███████▎ | 73680/100000 [14:56:57<5:02:19, 1.45step/s] Training: 74%|███████▎ | 73681/100000 [14:56:58<5:11:43, 1.41step/s] Training: 74%|███████▎ | 73682/100000 [14:56:59<5:15:42, 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| 73697/100000 [14:57:09<5:07:39, 1.42step/s] Training: 74%|███████▎ | 73698/100000 [14:57:10<5:14:47, 1.39step/s] Training: 74%|███████▎ | 73699/100000 [14:57:11<5:16:50, 1.38step/s] Training: 74%|███████▎ | 73700/100000 [14:57:12<5:15:26, 1.39step/s]INFO 2026-03-12 18:19:28 ot_train.py:435 step:74K smpl:5M ep:16K epch:62.47 loss:0.046 grdn:3.388 lr:4.1e-06 updt_s:0.711 data_s:0.013 Training: 74%|███████▎ | 73701/100000 [14:57:12<5:26:45, 1.34step/s] Training: 74%|███████▎ | 73702/100000 [14:57:13<5:30:22, 1.33step/s] Training: 74%|███████▎ | 73703/100000 [14:57:14<5:13:15, 1.40step/s] Training: 74%|███████▎ | 73704/100000 [14:57:14<5:02:32, 1.45step/s] Training: 74%|███████▎ | 73705/100000 [14:57:15<5:10:37, 1.41step/s] Training: 74%|███████▎ | 73706/100000 [14:57:16<5:16:02, 1.39step/s] Training: 74%|███████▎ | 73707/100000 [14:57:17<5:24:50, 1.35step/s] Training: 74%|███████▎ | 73708/100000 [14:57:18<5:30:00, 1.33step/s] Training: 74%|███████▎ | 73709/100000 [14:57:18<5:38:04, 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| 73782/100000 [14:58:12<5:32:55, 1.31step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=17598 Training: 74%|███████▍ | 73783/100000 [14:58:13<5:36:28, 1.30step/s] Training: 74%|███████▍ | 73784/100000 [14:58:14<5:17:03, 1.38step/s] Training: 74%|███████▍ | 73785/100000 [14:58:14<5:25:25, 1.34step/s] Training: 74%|███████▍ | 73786/100000 [14:58:15<5:22:30, 1.35step/s] Training: 74%|███████▍ | 73787/100000 [14:58:16<5:24:08, 1.35step/s] Training: 74%|███████▍ | 73788/100000 [14:58:16<5:21:01, 1.36step/s] Training: 74%|███████▍ | 73789/100000 [14:58:17<5:18:30, 1.37step/s] Training: 74%|███████▍ | 73790/100000 [14:58:18<5:15:39, 1.38step/s] Training: 74%|███████▍ | 73791/100000 [14:58:19<5:04:57, 1.43step/s] Training: 74%|███████▍ | 73792/100000 [14:58:19<5:17:51, 1.37step/s] Training: 74%|███████▍ | 73793/100000 [14:58:20<5:22:08, 1.36step/s] Training: 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[14:58:30<5:31:32, 1.32step/s] Training: 74%|███████▍ | 73807/100000 [14:58:30<5:14:07, 1.39step/s] Training: 74%|███████▍ | 73808/100000 [14:58:31<5:15:20, 1.38step/s] Training: 74%|███████▍ | 73809/100000 [14:58:32<5:21:35, 1.36step/s] Training: 74%|███████▍ | 73810/100000 [14:58:33<5:18:59, 1.37step/s] Training: 74%|███████▍ | 73811/100000 [14:58:33<5:23:56, 1.35step/s] Training: 74%|███████▍ | 73812/100000 [14:58:34<5:22:02, 1.36step/s] Training: 74%|███████▍ | 73813/100000 [14:58:35<5:28:02, 1.33step/s] Training: 74%|███████▍ | 73814/100000 [14:58:36<5:26:02, 1.34step/s] Training: 74%|███████▍ | 73815/100000 [14:58:36<5:09:49, 1.41step/s] Training: 74%|███████▍ | 73816/100000 [14:58:37<5:12:14, 1.40step/s] Training: 74%|███████▍ | 73817/100000 [14:58:38<5:24:46, 1.34step/s] Training: 74%|███████▍ | 73818/100000 [14:58:39<5:21:47, 1.36step/s] Training: 74%|███████▍ | 73819/100000 [14:58:39<5:24:49, 1.34step/s] Training: 74%|███████▍ | 73820/100000 [14:58:40<5:21:51, 1.36step/s] Training: 74%|███████▍ | 73821/100000 [14:58:41<5:21:54, 1.36step/s] Training: 74%|███████▍ | 73822/100000 [14:58:42<5:19:33, 1.37step/s] Training: 74%|███████▍ | 73823/100000 [14:58:42<5:03:29, 1.44step/s] Training: 74%|███████▍ | 73824/100000 [14:58:43<4:55:53, 1.47step/s] Training: 74%|███████▍ | 73825/100000 [14:58:44<5:09:10, 1.41step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=59007 Training: 74%|███████▍ | 73826/100000 [14:58:44<5:17:18, 1.37step/s] Training: 74%|███████▍ | 73827/100000 [14:58:45<5:18:34, 1.37step/s] Training: 74%|███████▍ | 73828/100000 [14:58:46<5:19:36, 1.36step/s] Training: 74%|███████▍ | 73829/100000 [14:58:47<5:25:07, 1.34step/s] Training: 74%|███████▍ | 73830/100000 [14:58:47<5:31:10, 1.32step/s] Training: 74%|███████▍ | 73831/100000 [14:58:48<5:14:33, 1.39step/s] Training: 74%|███████▍ | 73832/100000 [14:58:49<5:24:51, 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1.43step/s] Training: 74%|███████▍ | 74316/100000 [15:04:39<5:12:24, 1.37step/s] Training: 74%|███████▍ | 74317/100000 [15:04:40<5:18:09, 1.35step/s] Training: 74%|███████▍ | 74318/100000 [15:04:40<5:15:28, 1.36step/s] Training: 74%|███████▍ | 74319/100000 [15:04:41<5:00:11, 1.43step/s] Training: 74%|███████▍ | 74320/100000 [15:04:41<4:47:30, 1.49step/s] Training: 74%|███████▍ | 74321/100000 [15:04:42<5:00:07, 1.43step/s] Training: 74%|███████▍ | 74322/100000 [15:04:43<5:08:11, 1.39step/s] Training: 74%|███████▍ | 74323/100000 [15:04:44<4:57:35, 1.44step/s] Training: 74%|███████▍ | 74324/100000 [15:04:44<5:02:14, 1.42step/s] Training: 74%|███████▍ | 74325/100000 [15:04:45<4:56:47, 1.44step/s] Training: 74%|███████▍ | 74326/100000 [15:04:46<4:51:10, 1.47step/s] Training: 74%|███████▍ | 74327/100000 [15:04:46<4:55:46, 1.45step/s] Training: 74%|███████▍ | 74328/100000 [15:04:47<4:42:32, 1.51step/s] Training: 74%|███████▍ | 74329/100000 [15:04:48<4:47:30, 1.49step/s] Training: 74%|███████▍ | 74330/100000 [15:04:48<4:45:31, 1.50step/s] Training: 74%|███████▍ | 74331/100000 [15:04:49<4:35:52, 1.55step/s] Training: 74%|███████▍ | 74332/100000 [15:04:50<4:38:34, 1.54step/s] Training: 74%|███████▍ | 74333/100000 [15:04:50<4:39:58, 1.53step/s] Training: 74%|███████▍ | 74334/100000 [15:04:51<4:48:42, 1.48step/s] Training: 74%|███████▍ | 74335/100000 [15:04:52<4:40:34, 1.52step/s] Training: 74%|███████▍ | 74336/100000 [15:04:52<4:35:32, 1.55step/s] Training: 74%|███████▍ | 74337/100000 [15:04:53<4:37:32, 1.54step/s] Training: 74%|███████▍ | 74338/100000 [15:04:54<4:44:38, 1.50step/s] Training: 74%|███████▍ | 74339/100000 [15:04:54<4:35:09, 1.55step/s] Training: 74%|███████▍ | 74340/100000 [15:04:56<7:49:57, 1.10s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 74%|███████▍ | 74341/100000 [15:05:01<14:26:58, 2.03s/step] Training: 74%|███████▍ | 74342/100000 [15:05:01<11:54:39, 1.67s/step] Training: 74%|███████▍ | 74343/100000 [15:05:02<9:59:45, 1.40s/step] Training: 74%|███████▍ | 74344/100000 [15:05:03<8:20:09, 1.17s/step] Training: 74%|███████▍ | 74345/100000 [15:05:04<7:27:07, 1.05s/step] Training: 74%|███████▍ | 74346/100000 [15:05:04<6:54:53, 1.03step/s] Training: 74%|███████▍ | 74347/100000 [15:05:05<6:35:31, 1.08step/s] Training: 74%|███████▍ | 74348/100000 [15:05:06<6:19:26, 1.13step/s] Training: 74%|███████▍ | 74349/100000 [15:05:07<6:03:07, 1.18step/s] Training: 74%|███████▍ | 74350/100000 [15:05:07<5:53:22, 1.21step/s] Training: 74%|███████▍ | 74351/100000 [15:05:08<5:41:05, 1.25step/s] Training: 74%|███████▍ | 74352/100000 [15:05:09<5:19:18, 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| 74592/100000 [15:08:00<4:46:49, 1.48step/s] Training: 75%|███████▍ | 74593/100000 [15:08:01<4:41:51, 1.50step/s] Training: 75%|███████▍ | 74594/100000 [15:08:02<4:59:20, 1.41step/s] Training: 75%|███████▍ | 74595/100000 [15:08:02<4:46:37, 1.48step/s] Training: 75%|███████▍ | 74596/100000 [15:08:03<5:01:19, 1.41step/s] Training: 75%|███████▍ | 74597/100000 [15:08:04<5:09:23, 1.37step/s] Training: 75%|███████▍ | 74598/100000 [15:08:05<4:55:01, 1.44step/s] Training: 75%|███████▍ | 74599/100000 [15:08:05<4:56:15, 1.43step/s] Training: 75%|███████▍ | 74600/100000 [15:08:06<4:48:42, 1.47step/s]INFO 2026-03-12 18:30:22 ot_train.py:435 step:75K smpl:5M ep:16K epch:63.23 loss:0.047 grdn:3.545 lr:3.9e-06 updt_s:0.690 data_s:0.012 Training: 75%|███████▍ | 74601/100000 [15:08:07<4:42:20, 1.50step/s] Training: 75%|███████▍ | 74602/100000 [15:08:07<4:58:30, 1.42step/s] Training: 75%|███████▍ | 74603/100000 [15:08:08<4:48:49, 1.47step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=8054 Training: 75%|███████▍ | 74604/100000 [15:08:09<5:00:48, 1.41step/s] Training: 75%|███████▍ | 74605/100000 [15:08:10<5:09:57, 1.37step/s] Training: 75%|███████▍ | 74606/100000 [15:08:10<4:53:25, 1.44step/s] Training: 75%|███████▍ | 74607/100000 [15:08:11<4:59:36, 1.41step/s] Training: 75%|███████▍ | 74608/100000 [15:08:12<4:49:29, 1.46step/s] Training: 75%|███████▍ | 74609/100000 [15:08:12<4:43:39, 1.49step/s] Training: 75%|███████▍ | 74610/100000 [15:08:13<4:57:06, 1.42step/s] Training: 75%|███████▍ | 74611/100000 [15:08:14<4:48:16, 1.47step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=8054 Training: 75%|███████▍ | 74612/100000 [15:08:14<4:59:36, 1.41step/s] Training: 75%|███████▍ | 74613/100000 [15:08:15<5:14:08, 1.35step/s] Training: 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1.45step/s] Training: 75%|███████▍ | 74655/100000 [15:08:45<5:05:17, 1.38step/s] Training: 75%|███████▍ | 74656/100000 [15:08:45<4:53:01, 1.44step/s] Training: 75%|███████▍ | 74657/100000 [15:08:46<4:45:54, 1.48step/s] Training: 75%|███████▍ | 74658/100000 [15:08:47<4:57:42, 1.42step/s] Training: 75%|███████▍ | 74659/100000 [15:08:47<4:47:40, 1.47step/s] Training: 75%|███████▍ | 74660/100000 [15:08:48<4:58:28, 1.41step/s] Training: 75%|███████▍ | 74661/100000 [15:08:49<5:04:25, 1.39step/s] Training: 75%|███████▍ | 74662/100000 [15:08:50<4:52:54, 1.44step/s] Training: 75%|███████▍ | 74663/100000 [15:08:50<5:02:49, 1.39step/s] Training: 75%|███████▍ | 74664/100000 [15:08:51<4:48:46, 1.46step/s] Training: 75%|███████▍ | 74665/100000 [15:08:52<4:41:19, 1.50step/s] Training: 75%|███████▍ | 74666/100000 [15:08:52<4:54:48, 1.43step/s] Training: 75%|███████▍ | 74667/100000 [15:08:53<4:47:23, 1.47step/s] Training: 75%|███████▍ | 74668/100000 [15:08:54<4:59:22, 1.41step/s] Training: 75%|███████▍ | 74669/100000 [15:08:55<5:10:29, 1.36step/s] Training: 75%|███████▍ | 74670/100000 [15:08:55<4:56:48, 1.42step/s] Training: 75%|███████▍ | 74671/100000 [15:08:56<4:59:26, 1.41step/s] Training: 75%|███████▍ | 74672/100000 [15:08:57<4:48:42, 1.46step/s] Training: 75%|███████▍ | 74673/100000 [15:08:57<4:42:39, 1.49step/s] Training: 75%|███████▍ | 74674/100000 [15:08:58<4:53:22, 1.44step/s] Training: 75%|███████▍ | 74675/100000 [15:08:59<4:44:16, 1.48step/s] Training: 75%|███████▍ | 74676/100000 [15:08:59<4:54:09, 1.43step/s] Training: 75%|███████▍ | 74677/100000 [15:09:00<5:01:28, 1.40step/s] Training: 75%|███████▍ | 74678/100000 [15:09:01<4:52:12, 1.44step/s] Training: 75%|███████▍ | 74679/100000 [15:09:01<5:04:22, 1.39step/s] Training: 75%|███████▍ | 74680/100000 [15:09:02<4:52:27, 1.44step/s] Training: 75%|███████▍ | 74681/100000 [15:09:03<4:44:54, 1.48step/s] Training: 75%|███████▍ | 74682/100000 [15:09:03<4:51:03, 1.45step/s] Training: 75%|███████▍ | 74683/100000 [15:09:04<4:49:47, 1.46step/s] Training: 75%|███████▍ | 74684/100000 [15:09:05<4:55:22, 1.43step/s] Training: 75%|███████▍ | 74685/100000 [15:09:06<5:05:20, 1.38step/s] Training: 75%|███████▍ | 74686/100000 [15:09:06<4:51:49, 1.45step/s] Training: 75%|███████▍ | 74687/100000 [15:09:07<5:04:07, 1.39step/s] Training: 75%|███████▍ | 74688/100000 [15:09:08<5:11:58, 1.35step/s] Training: 75%|███████▍ | 74689/100000 [15:09:08<4:57:52, 1.42step/s] Training: 75%|███████▍ | 74690/100000 [15:09:09<5:07:00, 1.37step/s] Training: 75%|███████▍ | 74691/100000 [15:09:10<4:55:21, 1.43step/s] Training: 75%|███████▍ | 74692/100000 [15:09:11<5:05:44, 1.38step/s][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=56457 Training: 75%|███████▍ | 74693/100000 [15:09:11<5:10:33, 1.36step/s] Training: 75%|███████▍ | 74694/100000 [15:09:12<4:58:11, 1.41step/s] Training: 75%|███████▍ | 74695/100000 [15:09:13<5:07:16, 1.37step/s] Training: 75%|███████▍ | 74696/100000 [15:09:14<4:55:36, 1.43step/s] Training: 75%|███████▍ | 74697/100000 [15:09:14<4:47:26, 1.47step/s] Training: 75%|███████▍ | 74698/100000 [15:09:15<5:01:25, 1.40step/s] Training: 75%|███████▍ | 74699/100000 [15:09:16<4:47:42, 1.47step/s] Training: 75%|███████▍ | 74700/100000 [15:09:16<5:00:36, 1.40step/s]INFO 2026-03-12 18:31:32 ot_train.py:435 step:75K smpl:5M ep:16K epch:63.32 loss:0.045 grdn:3.395 lr:3.9e-06 updt_s:0.690 data_s:0.012 Training: 75%|███████▍ | 74701/100000 [15:09:17<5:09:06, 1.36step/s] Training: 75%|███████▍ | 74702/100000 [15:09:18<4:53:32, 1.44step/s] Training: 75%|███████▍ | 74703/100000 [15:09:18<4:58:13, 1.41step/s] Training: 75%|███████▍ | 74704/100000 [15:09:19<5:09:16, 1.36step/s] Training: 75%|███████▍ | 74705/100000 [15:09:20<4:54:54, 1.43step/s] Training: 75%|███████▍ | 74706/100000 [15:09:21<5:05:31, 1.38step/s] Training: 75%|███████▍ | 74707/100000 [15:09:21<4:52:52, 1.44step/s] 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| 74894/100000 [15:11:34<5:05:01, 1.37step/s] Training: 75%|███████▍ | 74895/100000 [15:11:34<4:53:14, 1.43step/s] Training: 75%|███████▍ | 74896/100000 [15:11:35<4:58:36, 1.40step/s] Training: 75%|███████▍ | 74897/100000 [15:11:36<4:48:06, 1.45step/s] Training: 75%|███████▍ | 74898/100000 [15:11:37<4:52:41, 1.43step/s] Training: 75%|███████▍ | 74899/100000 [15:11:37<4:41:11, 1.49step/s] Training: 75%|███████▍ | 74900/100000 [15:11:38<4:57:02, 1.41step/s]INFO 2026-03-12 18:33:54 ot_train.py:435 step:75K smpl:5M ep:16K epch:63.49 loss:0.043 grdn:3.527 lr:3.8e-06 updt_s:0.696 data_s:0.012 Training: 75%|███████▍ | 74901/100000 [15:11:39<5:02:03, 1.38step/s] Training: 75%|███████▍ | 74902/100000 [15:11:39<5:02:18, 1.38step/s] Training: 75%|███████▍ | 74903/100000 [15:11:40<4:49:36, 1.44step/s] Training: 75%|███████▍ | 74904/100000 [15:11:41<4:55:52, 1.41step/s] Training: 75%|███████▍ | 74905/100000 [15:11:41<4:46:42, 1.46step/s] Training: 75%|███████▍ | 74906/100000 [15:11:42<4:58:28, 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[rank0]: main() [rank0]: File "/tmp/train_pi0fast.py", line 335, in main [rank0]: lerobot_main() [rank0]: File "/usr/local/lib/python3.11/dist-packages/lerobot/scripts/lerobot_train.py", line 547, in main [rank0]: train() [rank0]: File "/usr/local/lib/python3.11/dist-packages/lerobot/configs/parser.py", line 233, in wrapper_inner [rank0]: response = fn(cfg, *args, **kwargs) [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "/usr/local/lib/python3.11/dist-packages/lerobot/scripts/lerobot_train.py", line 457, in train [rank0]: save_checkpoint( [rank0]: File "/tmp/train_pi0fast.py", line 167, in _save_and_push [rank0]: _orig_save(checkpoint_dir=checkpoint_dir, step=step, cfg=cfg, [rank0]: File "/usr/local/lib/python3.11/dist-packages/lerobot/utils/train_utils.py", line 110, in save_checkpoint [rank0]: save_training_state(checkpoint_dir, step, optimizer, scheduler) [rank0]: File "/usr/local/lib/python3.11/dist-packages/lerobot/utils/train_utils.py", line 135, in save_training_state [rank0]: save_optimizer_state(optimizer, save_dir) [rank0]: File "/usr/local/lib/python3.11/dist-packages/lerobot/optim/optimizers.py", line 300, in save_optimizer_state [rank0]: _save_single_optimizer_state(optimizer, save_dir) [rank0]: File "/usr/local/lib/python3.11/dist-packages/lerobot/optim/optimizers.py", line 308, in _save_single_optimizer_state [rank0]: save_file(flat_state, save_dir / OPTIMIZER_STATE) [rank0]: File "/usr/local/lib/python3.11/dist-packages/safetensors/torch.py", line 307, in save_file [rank0]: serialize_file(_flatten(tensors), filename, metadata=metadata) [rank0]: safetensors_rust.SafetensorError: Error while serializing: I/O error: No space left on device (os error 28) Training: 75%|███████▌ | 75000/100000 [15:13:10<5:04:23, 1.37step/s] [rank0]:[W312 18:35:26.835857908 ProcessGroupNCCL.cpp:1479] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator()) W0312 18:35:28.729000 2390 torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2459 closing signal SIGTERM W0312 18:35:28.732000 2390 torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2460 closing signal SIGTERM W0312 18:35:28.735000 2390 torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2461 closing signal SIGTERM W0312 18:35:28.741000 2390 torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2462 closing signal SIGTERM W0312 18:35:28.744000 2390 torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2463 closing signal SIGTERM W0312 18:35:28.747000 2390 torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2464 closing signal SIGTERM W0312 18:35:28.749000 2390 torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2465 closing signal SIGTERM E0312 18:35:28.757000 2390 torch/distributed/elastic/multiprocessing/api.py:874] failed (exitcode: 1) local_rank: 0 (pid: 2458) of binary: /usr/bin/python Traceback (most recent call last): File "/usr/local/bin/accelerate", line 8, in sys.exit(main()) ^^^^^^ File "/usr/local/lib/python3.11/dist-packages/accelerate/commands/accelerate_cli.py", line 50, in main args.func(args) File "/usr/local/lib/python3.11/dist-packages/accelerate/commands/launch.py", line 1396, in launch_command multi_gpu_launcher(args) File "/usr/local/lib/python3.11/dist-packages/accelerate/commands/launch.py", line 1023, in multi_gpu_launcher distrib_run.run(args) File "/usr/local/lib/python3.11/dist-packages/torch/distributed/run.py", line 883, in run elastic_launch( File "/usr/local/lib/python3.11/dist-packages/torch/distributed/launcher/api.py", line 139, in __call__ return launch_agent(self._config, self._entrypoint, list(args)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/dist-packages/torch/distributed/launcher/api.py", line 270, in launch_agent raise ChildFailedError( torch.distributed.elastic.multiprocessing.errors.ChildFailedError: ============================================================ /tmp/train_pi0fast.py FAILED ------------------------------------------------------------ Failures: ------------------------------------------------------------ Root Cause (first observed failure): [0]: time : 2026-03-12_18:35:28 host : 64e720f970af rank : 0 (local_rank: 0) exitcode : 1 (pid: 2458) error_file: traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html ============================================================ >>> Training finished with exit code 1 Ended: 2026-03-12 18:35:29 UTC >>> Saving training log to HuggingFace...