=== Avatar Training (fire-and-forget) ===
Script: train_pi0fast.py
Started: 2026-03-11 06:57:26 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 lerobot/pi0fast-base (default)...

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  Cached at /root/.cache/huggingface/hub/models--lerobot--pi0fast-base/snapshots/0737e07fac1e63519c0bd38bd869934ecd9c3f86
  GPUs: 4x NVIDIA A100-SXM4-80GB
>>> [4/4] Launching accelerate with 4 GPUs...
  Script: train_pi0fast.py
  Train args: --dataset orange_hook_right_20260310 --steps 10000 --batch-size 8 --lr 5e-5 --save-freq 2000 --push-to-hub --num-workers 8 --task-text pick\ up\ the\ orange\ flat\ package 

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:  lerobot/pi0fast-base
  Model repo:  hamidavatar/pi0fast-orange-hook-right-b32-20260311-0657
  Steps:       10000
  Batch/GPU:   8  (eff: 32)
  Chunk size:  10
  LR:          5e-05
  Save freq:   2000
  GPUs:        4
============================================================

lerobot_train \
  --dataset.repo_id=hamidavatar/orange_hook_right_20260310 \
  --policy.type=pi0_fast \
  --policy.pretrained_path=lerobot/pi0fast-base \
  --policy.repo_id=hamidavatar/pi0fast-orange-hook-right-b32-20260311-0657 \
  --policy.dtype=bfloat16 \
  --policy.gradient_checkpointing=true \
  --policy.chunk_size=10 \
  --policy.n_action_steps=10 \
  --policy.max_action_tokens=256 \
  --policy.optimizer_lr=5e-05 \
  --policy.optimizer_weight_decay=0.01 \
  --policy.scheduler_warmup_steps=1000 \
  --policy.scheduler_decay_steps=10000 \
  --policy.scheduler_decay_lr=1e-6 \
  --batch_size=8 \
  --steps=10000 \
  --save_freq=2000 \
  --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 → hamidavatar/pi0fast-orange-hook-right-b32-20260311-0657 (with per-step tags)
[Avatar] Dataset task text patched → "pick up the orange flat package"
[Avatar] Dataset timestamp tolerance set to 2.0s
[Avatar] Installed corrupt-frame retry handler
[Avatar] Checkpoint push enabled → hamidavatar/pi0fast-orange-hook-right-b32-20260311-0657 (with per-step tags)
[Avatar] Dataset task text patched → "pick up the orange flat package"
[Avatar] Dataset timestamp tolerance set to 2.0s
[Avatar] Installed corrupt-frame retry handler
[Avatar] Checkpoint push enabled → hamidavatar/pi0fast-orange-hook-right-b32-20260311-0657 (with per-step tags)
[Avatar] Dataset task text patched → "pick up the orange flat package"
[Avatar] Dataset timestamp tolerance set to 2.0s
[Avatar] Installed corrupt-frame retry handler
[Avatar] Checkpoint push enabled → hamidavatar/pi0fast-orange-hook-right-b32-20260311-0657 (with per-step tags)
[Avatar] Dataset task text patched → "pick up the orange flat package"
[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'.
INFO 2026-03-11 06:57:57 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': 5e-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': <NormalizationMode.MEAN_STD: 'MEAN_STD'>,
                                      'STATE': <NormalizationMode.MEAN_STD: 'MEAN_STD'>,
                                      'VISUAL': <NormalizationMode.IDENTITY: 'IDENTITY'>},
            'optimizer_betas': [0.9, 0.95],
            'optimizer_eps': 1e-08,
            'optimizer_grad_clip_norm': 1.0,
            'optimizer_lr': 5e-05,
            'optimizer_weight_decay': 0.01,
            'output_features': {},
            'paligemma_variant': 'gemma_2b',
            'pretrained_path': 'lerobot/pi0fast-base',
            'private': True,
            'push_to_hub': True,
            'repo_id': 'hamidavatar/pi0fast-orange-hook-right-b32-20260311-0657',
            'rtc_config': None,
            'scheduler_decay_lr': 1e-06,
            'scheduler_decay_steps': 10000,
            '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': 2000,
 'scheduler': {'decay_lr': 1e-06,
               'num_decay_steps': 10000,
               'num_warmup_steps': 1000,
               'peak_lr': 5e-05,
               'type': 'cosine_decay_with_warmup'},
 'seed': 1000,
 'steps': 10000,
 '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 2026-03-11 06:57:57 ot_train.py:205 Logs will be saved locally.
INFO 2026-03-11 06:57:57 ot_train.py:217 Creating dataset

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INFO 2026-03-11 06:57:58 eo_utils.py:106 Using video codec: libsvtav1

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NCCL version 2.26.2+cuda12.2
INFO 2026-03-11 06:58:28 ot_train.py:235 Creating policy
The PI0Fast model is a direct port of the OpenPI implementation. 
This implementation follows the original OpenPI structure for compatibility. 
Original implementation: https://github.com/Physical-Intelligence/openpi
The PI0Fast model is a direct port of the OpenPI implementation. 
This implementation follows the original OpenPI structure for compatibility. 
Original implementation: https://github.com/Physical-Intelligence/openpi
The PI0Fast model is a direct port of the OpenPI implementation. 
This implementation follows the original OpenPI structure for compatibility. 
Original implementation: https://github.com/Physical-Intelligence/openpi
The PI0Fast model is a direct port of the OpenPI implementation. 
This implementation follows the original OpenPI structure for compatibility. 
Original implementation: https://github.com/Physical-Intelligence/openpi
A new version of the following files was downloaded from https://huggingface.co/physical-intelligence/fast:
- processing_action_tokenizer.py
. Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.
INFO 2026-03-11 06:58:30 pi0_fast.py:837 Loaded FAST tokenizer for action detokenization
INFO 2026-03-11 06:59:12 pi0_fast.py:329 Enabled gradient checkpointing for PI0FastPytorch model
Loading model from: lerobot/pi0fast-base
✓ Loaded state dict from model.safetensors
Loading model from: lerobot/pi0fast-base
✓ Loaded state dict from model.safetensors
WARNING 2026-03-11 06:59:13 pi0_fast.py:991 Vision embedding key might need handling: model.paligemma_with_expert.paligemma.model.vision_tower.vision_model.embeddings.patch_embedding.bias
WARNING 2026-03-11 06:59:13 pi0_fast.py:991 Vision embedding key might need handling: model.paligemma_with_expert.paligemma.model.vision_tower.vision_model.embeddings.patch_embedding.weight
Loading model from: lerobot/pi0fast-base
✓ Loaded state dict from model.safetensors
Loading model from: lerobot/pi0fast-base
✓ Loaded state dict from model.safetensors
All keys loaded successfully!
All keys loaded successfully!
All keys loaded successfully!
All keys loaded successfully!
INFO 2026-03-11 06:59:21 ot_train.py:290 Creating optimizer and scheduler
INFO 2026-03-11 06:59:21 ot_train.py:325 Output dir: outputs/train/pi0fast
INFO 2026-03-11 06:59:21 ot_train.py:332 cfg.steps=10000 (10K)
INFO 2026-03-11 06:59:21 ot_train.py:333 dataset.num_frames=75507 (76K)
INFO 2026-03-11 06:59:21 ot_train.py:334 dataset.num_episodes=257
INFO 2026-03-11 06:59:21 ot_train.py:337 Effective batch size: 8 x 4 = 32
INFO 2026-03-11 06:59:21 ot_train.py:338 num_learnable_params=2923335408 (3B)
INFO 2026-03-11 06:59:21 ot_train.py:339 num_total_params=2923335408 (3B)

Training:   0%|          | 0/10000 [00:00<?, ?step/s]INFO 2026-03-11 06:59:21 ot_train.py:403 Start offline training on a fixed dataset, with effective batch size: 32
[rank1]:[W311 06:59:25.521204311 reducer.cpp:1430] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration,  which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())
[rank0]:[W311 06:59:25.586172130 reducer.cpp:1430] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration,  which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())
[rank2]:[W311 06:59:25.922278248 reducer.cpp:1430] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration,  which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())
[rank3]:[W311 06:59:26.107275431 reducer.cpp:1430] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration,  which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())

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INFO 2026-03-11 07:40:28 ot_train.py:455 Checkpoint policy after step 2000
[Avatar] Pushing checkpoint (step 2000) to hamidavatar/pi0fast-orange-hook-right-b32-20260311-0657...

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New Data Upload               :  98%|█████████▊| 3.02GB / 3.08GB,  191MB/s  


  ...11-0657/model.safetensors:  53%|█████▎    | 3.08GB / 5.85GB            
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New Data Upload               :  98%|█████████▊| 3.08GB / 3.15GB,  197MB/s  


  ...11-0657/model.safetensors:  53%|█████▎    | 3.08GB / 5.85GB            
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New Data Upload               :  98%|█████████▊| 3.08GB / 3.15GB,  191MB/s  


  ...11-0657/model.safetensors:  54%|█████▍    | 3.15GB / 5.85GB            
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New Data Upload               :  98%|█████████▊| 3.15GB / 3.22GB,  197MB/s  


  ...11-0657/model.safetensors:  54%|█████▍    | 3.18GB / 5.85GB            
Processing Files (0 / 1)      :  54%|█████▍    | 3.18GB / 5.85GB,  194MB/s  

New Data Upload               :  99%|█████████▉| 3.18GB / 3.22GB,  194MB/s  


  ...11-0657/model.safetensors:  55%|█████▌    | 3.22GB / 5.85GB            
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New Data Upload               :  98%|█████████▊| 3.22GB / 3.29GB,  194MB/s  


  ...11-0657/model.safetensors:  56%|█████▌    | 3.28GB / 5.85GB            
Processing Files (0 / 1)      :  56%|█████▌    | 3.28GB / 5.85GB,  197MB/s  

New Data Upload               : 100%|█████████▉| 3.28GB / 3.29GB,  197MB/s  


  ...11-0657/model.safetensors:  56%|█████▌    | 3.29GB / 5.85GB            
Processing Files (0 / 1)      :  56%|█████▌    | 3.29GB / 5.85GB,  191MB/s  

New Data Upload               :  98%|█████████▊| 3.29GB / 3.35GB,  191MB/s  


  ...11-0657/model.safetensors:  57%|█████▋    | 3.35GB / 5.85GB            
Processing Files (0 / 1)      :  57%|█████▋    | 3.35GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 3.35GB / 3.42GB,  197MB/s  


  ...11-0657/model.safetensors:  57%|█████▋    | 3.35GB / 5.85GB            
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New Data Upload               :  98%|█████████▊| 3.35GB / 3.42GB,  191MB/s  


  ...11-0657/model.safetensors:  58%|█████▊    | 3.42GB / 5.85GB            
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New Data Upload               :  98%|█████████▊| 3.42GB / 3.49GB,  197MB/s  


  ...11-0657/model.safetensors:  60%|█████▉    | 3.49GB / 5.85GB            
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New Data Upload               : 100%|█████████▉| 3.49GB / 3.49GB,  197MB/s  


  ...11-0657/model.safetensors:  60%|█████▉    | 3.49GB / 5.85GB            
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New Data Upload               :  98%|█████████▊| 3.49GB / 3.55GB,  192MB/s  


  ...11-0657/model.safetensors:  61%|██████    | 3.55GB / 5.85GB            
Processing Files (0 / 1)      :  61%|██████    | 3.55GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 3.55GB / 3.62GB,  197MB/s  


  ...11-0657/model.safetensors:  61%|██████    | 3.55GB / 5.85GB            


  ...11-0657/model.safetensors:  62%|██████▏   | 3.62GB / 5.85GB            
Processing Files (0 / 1)      :  62%|██████▏   | 3.62GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 3.62GB / 3.69GB,  197MB/s  


  ...11-0657/model.safetensors:  63%|██████▎   | 3.69GB / 5.85GB            
Processing Files (0 / 1)      :  63%|██████▎   | 3.69GB / 5.85GB,  197MB/s  

New Data Upload               : 100%|█████████▉| 3.69GB / 3.69GB,  197MB/s  


  ...11-0657/model.safetensors:  63%|██████▎   | 3.69GB / 5.85GB            


  ...11-0657/model.safetensors:  64%|██████▍   | 3.75GB / 5.85GB            
Processing Files (0 / 1)      :  64%|██████▍   | 3.75GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 3.75GB / 3.82GB,  197MB/s  


  ...11-0657/model.safetensors:  64%|██████▍   | 3.75GB / 5.85GB            
Processing Files (0 / 1)      :  64%|██████▍   | 3.75GB / 5.85GB,  191MB/s  

New Data Upload               :  98%|█████████▊| 3.75GB / 3.82GB,  191MB/s  


  ...11-0657/model.safetensors:  65%|██████▌   | 3.82GB / 5.85GB            
Processing Files (0 / 1)      :  65%|██████▌   | 3.82GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 3.82GB / 3.89GB,  197MB/s  


  ...11-0657/model.safetensors:  66%|██████▌   | 3.85GB / 5.85GB            
Processing Files (0 / 1)      :  66%|██████▌   | 3.85GB / 5.85GB,  194MB/s  

New Data Upload               :  99%|█████████▉| 3.85GB / 3.89GB,  194MB/s  


  ...11-0657/model.safetensors:  66%|██████▋   | 3.89GB / 5.85GB            
Processing Files (0 / 1)      :  66%|██████▋   | 3.89GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 3.89GB / 3.96GB,  197MB/s  


  ...11-0657/model.safetensors:  68%|██████▊   | 3.95GB / 5.85GB            
Processing Files (0 / 1)      :  68%|██████▊   | 3.95GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 3.95GB / 4.02GB,  197MB/s  


  ...11-0657/model.safetensors:  68%|██████▊   | 3.96GB / 5.85GB            
Processing Files (0 / 1)      :  68%|██████▊   | 3.96GB / 5.85GB,  194MB/s  

New Data Upload               :  98%|█████████▊| 3.95GB / 4.02GB,  194MB/s  


  ...11-0657/model.safetensors:  69%|██████▉   | 4.02GB / 5.85GB            
Processing Files (0 / 1)      :  69%|██████▉   | 4.02GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 4.02GB / 4.09GB,  197MB/s  


  ...11-0657/model.safetensors:  69%|██████▉   | 4.04GB / 5.85GB            
Processing Files (0 / 1)      :  69%|██████▉   | 4.04GB / 5.85GB,  193MB/s  

New Data Upload               :  99%|█████████▉| 4.04GB / 4.09GB,  193MB/s  


  ...11-0657/model.safetensors:  70%|██████▉   | 4.09GB / 5.85GB            
Processing Files (0 / 1)      :  70%|██████▉   | 4.09GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 4.09GB / 4.16GB,  197MB/s  


  ...11-0657/model.safetensors:  71%|███████   | 4.16GB / 5.85GB            
Processing Files (0 / 1)      :  71%|███████   | 4.16GB / 5.85GB,  197MB/s  

New Data Upload               : 100%|█████████▉| 4.16GB / 4.16GB,  197MB/s  


  ...11-0657/model.safetensors:  71%|███████   | 4.16GB / 5.85GB            
Processing Files (0 / 1)      :  71%|███████   | 4.16GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 4.16GB / 4.22GB,  197MB/s  


  ...11-0657/model.safetensors:  72%|███████▏  | 4.22GB / 5.85GB            
Processing Files (0 / 1)      :  72%|███████▏  | 4.22GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 4.22GB / 4.29GB,  197MB/s  


  ...11-0657/model.safetensors:  72%|███████▏  | 4.23GB / 5.85GB            
Processing Files (0 / 1)      :  72%|███████▏  | 4.23GB / 5.85GB,  191MB/s  

New Data Upload               :  99%|█████████▊| 4.23GB / 4.29GB,  191MB/s  


  ...11-0657/model.safetensors:  73%|███████▎  | 4.29GB / 5.85GB            
Processing Files (0 / 1)      :  73%|███████▎  | 4.29GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 4.29GB / 4.36GB,  197MB/s  


  ...11-0657/model.safetensors:  74%|███████▍  | 4.36GB / 5.85GB            
Processing Files (0 / 1)      :  74%|███████▍  | 4.36GB / 5.85GB,  197MB/s  

New Data Upload               : 100%|█████████▉| 4.36GB / 4.36GB,  197MB/s  


  ...11-0657/model.safetensors:  75%|███████▍  | 4.36GB / 5.85GB            
Processing Files (0 / 1)      :  75%|███████▍  | 4.36GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 4.36GB / 4.43GB,  197MB/s  


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Processing Files (0 / 1)      :  76%|███████▌  | 4.42GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 4.42GB / 4.49GB,  197MB/s  


  ...11-0657/model.safetensors:  76%|███████▌  | 4.42GB / 5.85GB            
Processing Files (0 / 1)      :  76%|███████▌  | 4.42GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 4.42GB / 4.49GB,  197MB/s  


  ...11-0657/model.safetensors:  77%|███████▋  | 4.49GB / 5.85GB            
Processing Files (0 / 1)      :  77%|███████▋  | 4.49GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 4.49GB / 4.56GB,  197MB/s  


  ...11-0657/model.safetensors:  78%|███████▊  | 4.55GB / 5.85GB            
Processing Files (0 / 1)      :  78%|███████▊  | 4.55GB / 5.85GB,  197MB/s  

New Data Upload               : 100%|█████████▉| 4.55GB / 4.56GB,  197MB/s  


  ...11-0657/model.safetensors:  78%|███████▊  | 4.56GB / 5.85GB            
Processing Files (0 / 1)      :  78%|███████▊  | 4.56GB / 5.85GB,  197MB/s  

New Data Upload               :  99%|█████████▊| 4.56GB / 4.63GB,  197MB/s  


  ...11-0657/model.safetensors:  79%|███████▉  | 4.62GB / 5.85GB            
Processing Files (0 / 1)      :  79%|███████▉  | 4.62GB / 5.85GB,  197MB/s  

New Data Upload               : 100%|█████████▉| 4.62GB / 4.63GB,  197MB/s  


  ...11-0657/model.safetensors:  79%|███████▉  | 4.63GB / 5.85GB            
Processing Files (0 / 1)      :  79%|███████▉  | 4.63GB / 5.85GB,  197MB/s  

New Data Upload               :  99%|█████████▊| 4.62GB / 4.69GB,  197MB/s  


  ...11-0657/model.safetensors:  80%|████████  | 4.69GB / 5.85GB            
Processing Files (0 / 1)      :  80%|████████  | 4.69GB / 5.85GB,  197MB/s  

New Data Upload               :  99%|█████████▊| 4.69GB / 4.76GB,  197MB/s  


  ...11-0657/model.safetensors:  81%|████████  | 4.71GB / 5.85GB            
Processing Files (0 / 1)      :  81%|████████  | 4.71GB / 5.85GB,  196MB/s  

New Data Upload               :  99%|█████████▉| 4.71GB / 4.76GB,  196MB/s  


  ...11-0657/model.safetensors:  81%|████████▏ | 4.76GB / 5.85GB            
Processing Files (0 / 1)      :  81%|████████▏ | 4.76GB / 5.85GB,  197MB/s  

New Data Upload               :  99%|█████████▊| 4.76GB / 4.83GB,  197MB/s  


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Processing Files (0 / 1)      :  83%|████████▎ | 4.83GB / 5.85GB,  197MB/s  

New Data Upload               : 100%|█████████▉| 4.83GB / 4.83GB,  197MB/s  


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Processing Files (0 / 1)      :  83%|████████▎ | 4.83GB / 5.85GB,  197MB/s  

New Data Upload               :  99%|█████████▊| 4.83GB / 4.89GB,  197MB/s  


  ...11-0657/model.safetensors:  84%|████████▎ | 4.89GB / 5.85GB            
Processing Files (0 / 1)      :  84%|████████▎ | 4.89GB / 5.85GB,  197MB/s  

New Data Upload               :  99%|█████████▊| 4.89GB / 4.96GB,  197MB/s  


  ...11-0657/model.safetensors:  84%|████████▍ | 4.90GB / 5.85GB            
Processing Files (0 / 1)      :  84%|████████▍ | 4.90GB / 5.85GB,  198MB/s  

New Data Upload               :  99%|█████████▉| 4.90GB / 4.96GB,  198MB/s  


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Processing Files (0 / 1)      :  85%|████████▍ | 4.96GB / 5.85GB,  197MB/s  

New Data Upload               :  99%|█████████▊| 4.96GB / 5.03GB,  197MB/s  


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Processing Files (0 / 1)      :  86%|████████▌ | 5.03GB / 5.85GB,  200MB/s  

New Data Upload               : 100%|█████████▉| 5.03GB / 5.03GB,  200MB/s  


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  ...11-0657/model.safetensors:  87%|████████▋ | 5.10GB / 5.85GB            
Processing Files (0 / 1)      :  87%|████████▋ | 5.10GB / 5.85GB,  197MB/s  

New Data Upload               :  99%|█████████▊| 5.10GB / 5.16GB,  197MB/s  


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Processing Files (0 / 1)      :  87%|████████▋ | 5.11GB / 5.85GB,  199MB/s  

New Data Upload               :  99%|█████████▉| 5.11GB / 5.16GB,  199MB/s  


  ...11-0657/model.safetensors:  88%|████████▊ | 5.16GB / 5.85GB            
Processing Files (0 / 1)      :  88%|████████▊ | 5.16GB / 5.85GB,  197MB/s  

New Data Upload               :  99%|█████████▊| 5.16GB / 5.23GB,  197MB/s  


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Processing Files (0 / 1)      :  89%|████████▉ | 5.23GB / 5.85GB,  201MB/s  

New Data Upload               : 100%|█████████▉| 5.23GB / 5.23GB,  201MB/s  


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Processing Files (0 / 1)      :  89%|████████▉ | 5.23GB / 5.85GB,  197MB/s  

New Data Upload               :  99%|█████████▊| 5.23GB / 5.30GB,  197MB/s  


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Processing Files (0 / 1)      :  91%|█████████ | 5.30GB / 5.85GB,  197MB/s  

New Data Upload               :  99%|█████████▊| 5.30GB / 5.36GB,  197MB/s  


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Processing Files (0 / 1)      :  91%|█████████ | 5.30GB / 5.85GB,  197MB/s  

New Data Upload               :  99%|█████████▊| 5.30GB / 5.36GB,  197MB/s  


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Processing Files (0 / 1)      :  92%|█████████▏| 5.36GB / 5.85GB,  197MB/s  

New Data Upload               :  99%|█████████▊| 5.36GB / 5.43GB,  197MB/s  


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Processing Files (0 / 1)      :  93%|█████████▎| 5.43GB / 5.85GB,  203MB/s  

New Data Upload               : 100%|█████████▉| 5.43GB / 5.43GB,  203MB/s  


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Processing Files (0 / 1)      :  93%|█████████▎| 5.43GB / 5.85GB,  197MB/s  

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INFO 2026-03-11 07:41:39 etrained.py:246 Model pushed to https://huggingface.co/hamidavatar/pi0fast-orange-hook-right-b32-20260311-0657

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[Avatar] Pushed checkpoint (step 2000) OK
[Avatar] Tagged as 'step-2000'

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Training:  23%|██▎       | 2300/10000 [48:32<2:41:34,  1.26s/step]INFO 2026-03-11 07:47:53 ot_train.py:435 step:2K smpl:74K ep:251 epch:0.97 loss:2.320 grdn:6.904 lr:4.4e-05 updt_s:1.220 data_s:0.018

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Training:  24%|██▎       | 2360/10000 [49:47<3:32:43,  1.67s/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)

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INFO 2026-03-11 08:23:10 ot_train.py:455 Checkpoint policy after step 4000
[Avatar] Pushing checkpoint (step 4000) to hamidavatar/pi0fast-orange-hook-right-b32-20260311-0657...

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New Data Upload               :  80%|███████▉  |  268MB /  335MB, 44.7MB/s  


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New Data Upload               :  98%|█████████▊| 2.94GB / 3.02GB,  164MB/s  


  ...11-0657/model.safetensors:  52%|█████▏    | 3.02GB / 5.85GB            
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  ...11-0657/model.safetensors:  52%|█████▏    | 3.04GB / 5.85GB            
Processing Files (0 / 1)      :  52%|█████▏    | 3.04GB / 5.85GB,  167MB/s  

New Data Upload               :  98%|█████████▊| 3.04GB / 3.08GB,  167MB/s  


  ...11-0657/model.safetensors:  53%|█████▎    | 3.08GB / 5.85GB            
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New Data Upload               :  98%|█████████▊| 3.08GB / 3.15GB,  171MB/s  


  ...11-0657/model.safetensors:  54%|█████▍    | 3.15GB / 5.85GB            
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New Data Upload               : 100%|█████████▉| 3.15GB / 3.15GB,  177MB/s  


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  ...11-0657/model.safetensors:  55%|█████▍    | 3.22GB / 5.85GB            
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New Data Upload               : 100%|█████████▉| 3.22GB / 3.22GB,  171MB/s  


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Processing Files (0 / 1)      :  55%|█████▍    | 3.22GB / 5.85GB,  165MB/s  

New Data Upload               :  98%|█████████▊| 3.22GB / 3.29GB,  165MB/s  


  ...11-0657/model.safetensors:  55%|█████▌    | 3.22GB / 5.85GB            
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New Data Upload               :  98%|█████████▊| 3.22GB / 3.29GB,  165MB/s  


  ...11-0657/model.safetensors:  56%|█████▌    | 3.28GB / 5.85GB            
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New Data Upload               : 100%|█████████▉| 3.28GB / 3.29GB,  165MB/s  


  ...11-0657/model.safetensors:  56%|█████▌    | 3.28GB / 5.85GB            


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New Data Upload               :  98%|█████████▊| 3.28GB / 3.35GB,  158MB/s  


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New Data Upload               :  98%|█████████▊| 3.35GB / 3.42GB,  165MB/s  


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  ...11-0657/model.safetensors:  58%|█████▊    | 3.42GB / 5.85GB            
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New Data Upload               :  98%|█████████▊| 3.42GB / 3.49GB,  163MB/s  


  ...11-0657/model.safetensors:  59%|█████▉    | 3.46GB / 5.85GB            
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New Data Upload               :  99%|█████████▉| 3.46GB / 3.49GB,  162MB/s  


  ...11-0657/model.safetensors:  60%|█████▉    | 3.48GB / 5.85GB            
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New Data Upload               :  98%|█████████▊| 3.48GB / 3.55GB,  165MB/s  


  ...11-0657/model.safetensors:  61%|██████    | 3.55GB / 5.85GB            
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New Data Upload               :  98%|█████████▊| 3.55GB / 3.62GB,  165MB/s  


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  ...11-0657/model.safetensors:  62%|██████▏   | 3.62GB / 5.85GB            
Processing Files (0 / 1)      :  62%|██████▏   | 3.62GB / 5.85GB,  164MB/s  

New Data Upload               :  98%|█████████▊| 3.62GB / 3.69GB,  164MB/s  


  ...11-0657/model.safetensors:  63%|██████▎   | 3.67GB / 5.85GB            
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New Data Upload               :  99%|█████████▉| 3.67GB / 3.69GB,  163MB/s  


  ...11-0657/model.safetensors:  63%|██████▎   | 3.68GB / 5.85GB            
Processing Files (0 / 1)      :  63%|██████▎   | 3.68GB / 5.85GB,  164MB/s  

New Data Upload               :  98%|█████████▊| 3.68GB / 3.76GB,  164MB/s  


  ...11-0657/model.safetensors:  64%|██████▍   | 3.75GB / 5.85GB            
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New Data Upload               : 100%|█████████▉| 3.75GB / 3.76GB,  164MB/s  


  ...11-0657/model.safetensors:  64%|██████▍   | 3.75GB / 5.85GB            
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New Data Upload               :  98%|█████████▊| 3.75GB / 3.82GB,  165MB/s  


  ...11-0657/model.safetensors:  65%|██████▌   | 3.82GB / 5.85GB            
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New Data Upload               : 100%|█████████▉| 3.82GB / 3.82GB,  165MB/s  


  ...11-0657/model.safetensors:  65%|██████▌   | 3.82GB / 5.85GB            


  ...11-0657/model.safetensors:  66%|██████▋   | 3.89GB / 5.85GB            
Processing Files (0 / 1)      :  66%|██████▋   | 3.89GB / 5.85GB,  164MB/s  

New Data Upload               :  98%|█████████▊| 3.89GB / 3.96GB,  164MB/s  


  ...11-0657/model.safetensors:  67%|██████▋   | 3.92GB / 5.85GB            
Processing Files (0 / 1)      :  67%|██████▋   | 3.92GB / 5.85GB,  168MB/s  

New Data Upload               :  99%|█████████▉| 3.92GB / 3.96GB,  168MB/s  


  ...11-0657/model.safetensors:  68%|██████▊   | 3.95GB / 5.85GB            
Processing Files (0 / 1)      :  68%|██████▊   | 3.95GB / 5.85GB,  164MB/s  

New Data Upload               :  98%|█████████▊| 3.95GB / 4.02GB,  164MB/s  


  ...11-0657/model.safetensors:  69%|██████▊   | 4.02GB / 5.85GB            
Processing Files (0 / 1)      :  69%|██████▊   | 4.02GB / 5.85GB,  166MB/s  

New Data Upload               : 100%|█████████▉| 4.02GB / 4.02GB,  166MB/s  


  ...11-0657/model.safetensors:  69%|██████▊   | 4.02GB / 5.85GB            


  ...11-0657/model.safetensors:  70%|██████▉   | 4.09GB / 5.85GB            
Processing Files (0 / 1)      :  70%|██████▉   | 4.09GB / 5.85GB,  167MB/s  

New Data Upload               : 100%|█████████▉| 4.09GB / 4.09GB,  167MB/s  


  ...11-0657/model.safetensors:  70%|██████▉   | 4.09GB / 5.85GB            
Processing Files (0 / 1)      :  70%|██████▉   | 4.09GB / 5.85GB,  164MB/s  

New Data Upload               :  98%|█████████▊| 4.09GB / 4.16GB,  164MB/s  


  ...11-0657/model.safetensors:  71%|███████   | 4.15GB / 5.85GB            
Processing Files (0 / 1)      :  71%|███████   | 4.15GB / 5.85GB,  171MB/s  

New Data Upload               : 100%|█████████▉| 4.15GB / 4.16GB,  171MB/s  


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Processing Files (0 / 1)      :  72%|███████▏  | 4.22GB / 5.85GB,  170MB/s  

New Data Upload               :  98%|█████████▊| 4.22GB / 4.29GB,  170MB/s  


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Processing Files (0 / 1)      :  73%|███████▎  | 4.26GB / 5.85GB,  175MB/s  

New Data Upload               :  99%|█████████▉| 4.26GB / 4.29GB,  175MB/s  


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Processing Files (0 / 1)      :  73%|███████▎  | 4.28GB / 5.85GB,  170MB/s  

New Data Upload               :  98%|█████████▊| 4.28GB / 4.36GB,  170MB/s  


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Processing Files (0 / 1)      :  74%|███████▍  | 4.35GB / 5.85GB,  177MB/s  

New Data Upload               : 100%|█████████▉| 4.35GB / 4.36GB,  177MB/s  


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Processing Files (0 / 1)      :  76%|███████▌  | 4.42GB / 5.85GB,  175MB/s  

New Data Upload               : 100%|█████████▉| 4.42GB / 4.43GB,  175MB/s  


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  ...11-0657/model.safetensors:  77%|███████▋  | 4.49GB / 5.85GB            
Processing Files (0 / 1)      :  77%|███████▋  | 4.49GB / 5.85GB,  171MB/s  

New Data Upload               : 100%|█████████▉| 4.49GB / 4.49GB,  171MB/s  


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  ...11-0657/model.safetensors:  78%|███████▊  | 4.55GB / 5.85GB            
Processing Files (0 / 1)      :  78%|███████▊  | 4.55GB / 5.85GB,  171MB/s  

New Data Upload               :  98%|█████████▊| 4.55GB / 4.63GB,  171MB/s  


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Processing Files (0 / 1)      :  79%|███████▉  | 4.62GB / 5.85GB,  172MB/s  

New Data Upload               :  98%|█████████▊| 4.62GB / 4.69GB,  172MB/s  


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Processing Files (0 / 1)      :  80%|████████  | 4.69GB / 5.85GB,  171MB/s  

New Data Upload               : 100%|█████████▉| 4.69GB / 4.69GB,  171MB/s  


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Processing Files (0 / 1)      :  81%|████████  | 4.73GB / 5.85GB,  168MB/s  

New Data Upload               :  98%|█████████▊| 4.73GB / 4.83GB,  168MB/s  


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Processing Files (0 / 1)      :  82%|████████▏ | 4.82GB / 5.85GB,  175MB/s  

New Data Upload               :  98%|█████████▊| 4.82GB / 4.90GB,  175MB/s  


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Processing Files (0 / 1)      :  83%|████████▎ | 4.86GB / 5.85GB,  174MB/s  

New Data Upload               :  99%|█████████▉| 4.86GB / 4.90GB,  174MB/s  


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Processing Files (0 / 1)      :  84%|████████▎ | 4.89GB / 5.85GB,  171MB/s  

New Data Upload               :  99%|█████████▊| 4.89GB / 4.96GB,  171MB/s  


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Processing Files (0 / 1)      :  85%|████████▍ | 4.95GB / 5.85GB,  177MB/s  

New Data Upload               : 100%|█████████▉| 4.95GB / 4.96GB,  177MB/s  


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Processing Files (0 / 1)      :  85%|████████▍ | 4.96GB / 5.85GB,  171MB/s  

New Data Upload               :  99%|█████████▊| 4.96GB / 5.03GB,  171MB/s  


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Processing Files (0 / 1)      :  86%|████████▌ | 5.02GB / 5.85GB,  177MB/s  

New Data Upload               : 100%|█████████▉| 5.02GB / 5.03GB,  177MB/s  


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Processing Files (0 / 1)      :  86%|████████▌ | 5.02GB / 5.85GB,  177MB/s  

New Data Upload               :  99%|█████████▊| 5.02GB / 5.10GB,  177MB/s  


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Processing Files (0 / 1)      :  87%|████████▋ | 5.09GB / 5.85GB,  183MB/s  

New Data Upload               : 100%|█████████▉| 5.09GB / 5.10GB,  183MB/s  


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Processing Files (0 / 1)      :  87%|████████▋ | 5.09GB / 5.85GB,  177MB/s  

New Data Upload               :  99%|█████████▊| 5.09GB / 5.16GB,  177MB/s  


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Processing Files (0 / 1)      :  88%|████████▊ | 5.16GB / 5.85GB,  184MB/s  

New Data Upload               : 100%|█████████▉| 5.16GB / 5.16GB,  184MB/s  


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Processing Files (0 / 1)      :  88%|████████▊ | 5.16GB / 5.85GB,  177MB/s  

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Processing Files (0 / 1)      :  89%|████████▉ | 5.23GB / 5.85GB,  184MB/s  

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Processing Files (0 / 1)      :  89%|████████▉ | 5.23GB / 5.85GB,  177MB/s  

New Data Upload               :  99%|█████████▊| 5.23GB / 5.30GB,  177MB/s  


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Processing Files (0 / 1)      :  90%|█████████ | 5.29GB / 5.85GB,  180MB/s  

New Data Upload               :  99%|█████████▊| 5.29GB / 5.36GB,  180MB/s  


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Processing Files (0 / 1)      :  92%|█████████▏| 5.35GB / 5.85GB,  183MB/s  

New Data Upload               : 100%|█████████▉| 5.35GB / 5.36GB,  183MB/s  


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Processing Files (0 / 1)      :  92%|█████████▏| 5.35GB / 5.85GB,  177MB/s  

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INFO 2026-03-11 08:24:30 etrained.py:246 Model pushed to https://huggingface.co/hamidavatar/pi0fast-orange-hook-right-b32-20260311-0657

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WARNING 2026-03-11 08:24:33 /hf_api.py:4298 No files have been modified since last commit. Skipping to prevent empty commit.
[Avatar] Pushed checkpoint (step 4000) OK
[Avatar] Tagged as 'step-4000'

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Training:  41%|████      | 4100/10000 [1:27:17<2:02:39,  1.25s/step]INFO 2026-03-11 08:26:39 ot_train.py:435 step:4K smpl:131K ep:447 epch:1.74 loss:1.886 grdn:7.343 lr:3.3e-05 updt_s:1.227 data_s:0.017

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To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)

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Training:  48%|████▊     | 4800/10000 [1:41:52<1:48:31,  1.25s/step]INFO 2026-03-11 08:41:13 ot_train.py:435 step:5K smpl:154K ep:523 epch:2.03 loss:1.652 grdn:7.484 lr:2.7e-05 updt_s:1.228 data_s:0.056

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INFO 2026-03-11 09:06:00 ot_train.py:455 Checkpoint policy after step 6000
[Avatar] Pushing checkpoint (step 6000) to hamidavatar/pi0fast-orange-hook-right-b32-20260311-0657...

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New Data Upload               :  92%|█████████▏|  804MB /  872MB,  149MB/s  


  ...11-0657/model.safetensors:  15%|█▍        |  871MB / 5.85GB            
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New Data Upload               :  93%|█████████▎|  870MB /  939MB,  155MB/s  


  ...11-0657/model.safetensors:  16%|█▌        |  938MB / 5.85GB            
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New Data Upload               : 100%|█████████▉|  937MB /  939MB,  161MB/s  


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  ...11-0657/model.safetensors:  17%|█▋        | 1.01GB / 5.85GB            
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New Data Upload               : 100%|█████████▉| 1.00GB / 1.01GB,  162MB/s  


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New Data Upload               :  94%|█████████▎| 1.01GB / 1.07GB,  157MB/s  


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New Data Upload               :  94%|█████████▍| 1.07GB / 1.14GB,  162MB/s  


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New Data Upload               :  94%|█████████▍| 1.07GB / 1.14GB,  158MB/s  


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New Data Upload               :  94%|█████████▍| 1.14GB / 1.21GB,  163MB/s  


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New Data Upload               :  99%|█████████▊| 1.19GB / 1.21GB,  165MB/s  


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New Data Upload               :  95%|█████████▍| 1.21GB / 1.27GB,  163MB/s  


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New Data Upload               : 100%|█████████▉| 1.27GB / 1.27GB,  167MB/s  


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New Data Upload               :  95%|█████████▍| 1.27GB / 1.34GB,  163MB/s  


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New Data Upload               :  95%|█████████▌| 1.34GB / 1.41GB,  168MB/s  


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New Data Upload               :  95%|█████████▌| 1.34GB / 1.41GB,  164MB/s  


  ...11-0657/model.safetensors:  24%|██▍       | 1.41GB / 5.85GB            
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New Data Upload               :  95%|█████████▌| 1.41GB / 1.48GB,  168MB/s  


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New Data Upload               :  98%|█████████▊| 1.44GB / 1.48GB,  167MB/s  


  ...11-0657/model.safetensors:  25%|██▌       | 1.48GB / 5.85GB            
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New Data Upload               :  96%|█████████▌| 1.47GB / 1.54GB,  168MB/s  


  ...11-0657/model.safetensors:  26%|██▋       | 1.54GB / 5.85GB            
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New Data Upload               : 100%|█████████▉| 1.54GB / 1.54GB,  171MB/s  


  ...11-0657/model.safetensors:  26%|██▋       | 1.54GB / 5.85GB            


  ...11-0657/model.safetensors:  28%|██▊       | 1.61GB / 5.85GB            
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New Data Upload               :  96%|█████████▌| 1.61GB / 1.68GB,  171MB/s  


  ...11-0657/model.safetensors:  28%|██▊       | 1.61GB / 5.85GB            
Processing Files (0 / 1)      :  28%|██▊       | 1.61GB / 5.85GB,  168MB/s  

New Data Upload               :  96%|█████████▌| 1.61GB / 1.68GB,  168MB/s  


  ...11-0657/model.safetensors:  29%|██▊       | 1.68GB / 5.85GB            
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New Data Upload               :  96%|█████████▌| 1.67GB / 1.74GB,  171MB/s  


  ...11-0657/model.safetensors:  29%|██▉       | 1.68GB / 5.85GB            
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New Data Upload               :  96%|█████████▋| 1.68GB / 1.74GB,  168MB/s  


  ...11-0657/model.safetensors:  30%|██▉       | 1.74GB / 5.85GB            
Processing Files (0 / 1)      :  30%|██▉       | 1.74GB / 5.85GB,  171MB/s  

New Data Upload               :  96%|█████████▌| 1.74GB / 1.81GB,  171MB/s  


  ...11-0657/model.safetensors:  31%|███       | 1.81GB / 5.85GB            
Processing Files (0 / 1)      :  31%|███       | 1.81GB / 5.85GB,  177MB/s  

New Data Upload               : 100%|█████████▉| 1.81GB / 1.81GB,  177MB/s  


  ...11-0657/model.safetensors:  31%|███       | 1.81GB / 5.85GB            
Processing Files (0 / 1)      :  31%|███       | 1.81GB / 5.85GB,  172MB/s  

New Data Upload               :  96%|█████████▋| 1.81GB / 1.88GB,  172MB/s  


  ...11-0657/model.safetensors:  32%|███▏      | 1.88GB / 5.85GB            
Processing Files (0 / 1)      :  32%|███▏      | 1.88GB / 5.85GB,  177MB/s  

New Data Upload               :  96%|█████████▋| 1.88GB / 1.94GB,  177MB/s  


  ...11-0657/model.safetensors:  32%|███▏      | 1.88GB / 5.85GB            


  ...11-0657/model.safetensors:  33%|███▎      | 1.94GB / 5.85GB            
Processing Files (0 / 1)      :  33%|███▎      | 1.94GB / 5.85GB,  184MB/s  

New Data Upload               :  97%|█████████▋| 1.94GB / 2.01GB,  184MB/s  


  ...11-0657/model.safetensors:  33%|███▎      | 1.95GB / 5.85GB            
Processing Files (0 / 1)      :  33%|███▎      | 1.95GB / 5.85GB,  184MB/s  

New Data Upload               :  97%|█████████▋| 1.94GB / 2.01GB,  184MB/s  


  ...11-0657/model.safetensors:  34%|███▍      | 2.01GB / 5.85GB            
Processing Files (0 / 1)      :  34%|███▍      | 2.01GB / 5.85GB,  184MB/s  

New Data Upload               :  97%|█████████▋| 2.01GB / 2.08GB,  184MB/s  


  ...11-0657/model.safetensors:  35%|███▍      | 2.04GB / 5.85GB            
Processing Files (0 / 1)      :  35%|███▍      | 2.04GB / 5.85GB,  186MB/s  

New Data Upload               :  98%|█████████▊| 2.03GB / 2.08GB,  186MB/s  


  ...11-0657/model.safetensors:  36%|███▌      | 2.08GB / 5.85GB            
Processing Files (0 / 1)      :  36%|███▌      | 2.08GB / 5.85GB,  184MB/s  

New Data Upload               :  97%|█████████▋| 2.08GB / 2.15GB,  184MB/s  


  ...11-0657/model.safetensors:  37%|███▋      | 2.14GB / 5.85GB            
Processing Files (0 / 1)      :  37%|███▋      | 2.14GB / 5.85GB,  190MB/s  

New Data Upload               : 100%|█████████▉| 2.14GB / 2.15GB,  190MB/s  


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Processing Files (0 / 1)      :  37%|███▋      | 2.15GB / 5.85GB,  191MB/s  

New Data Upload               :  97%|█████████▋| 2.15GB / 2.21GB,  191MB/s  


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Processing Files (0 / 1)      :  38%|███▊      | 2.21GB / 5.85GB,  191MB/s  

New Data Upload               : 100%|█████████▉| 2.21GB / 2.21GB,  191MB/s  


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Processing Files (0 / 1)      :  38%|███▊      | 2.21GB / 5.85GB,  189MB/s  

New Data Upload               :  97%|█████████▋| 2.21GB / 2.28GB,  189MB/s  


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Processing Files (0 / 1)      :  39%|███▉      | 2.28GB / 5.85GB,  191MB/s  

New Data Upload               : 100%|█████████▉| 2.28GB / 2.28GB,  191MB/s  


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Processing Files (0 / 1)      :  39%|███▉      | 2.28GB / 5.85GB,  184MB/s  

New Data Upload               :  97%|█████████▋| 2.28GB / 2.35GB,  184MB/s  


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Processing Files (0 / 1)      :  40%|████      | 2.35GB / 5.85GB,  191MB/s  

New Data Upload               :  97%|█████████▋| 2.35GB / 2.41GB,  191MB/s  


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Processing Files (0 / 1)      :  40%|████      | 2.35GB / 5.85GB,  184MB/s  

New Data Upload               :  97%|█████████▋| 2.35GB / 2.41GB,  184MB/s  


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Processing Files (0 / 1)      :  41%|████▏     | 2.41GB / 5.85GB,  191MB/s  

New Data Upload               :  97%|█████████▋| 2.41GB / 2.48GB,  191MB/s  


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  ...11-0657/model.safetensors:  42%|████▏     | 2.48GB / 5.85GB            
Processing Files (0 / 1)      :  42%|████▏     | 2.48GB / 5.85GB,  188MB/s  

New Data Upload               :  97%|█████████▋| 2.48GB / 2.55GB,  188MB/s  


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Processing Files (0 / 1)      :  43%|████▎     | 2.49GB / 5.85GB,  185MB/s  

New Data Upload               :  98%|█████████▊| 2.49GB / 2.55GB,  185MB/s  


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Processing Files (0 / 1)      :  44%|████▎     | 2.55GB / 5.85GB,  184MB/s  

New Data Upload               :  97%|█████████▋| 2.55GB / 2.62GB,  184MB/s  


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Processing Files (0 / 1)      :  44%|████▎     | 2.55GB / 5.85GB,  184MB/s  

New Data Upload               :  97%|█████████▋| 2.55GB / 2.62GB,  184MB/s  


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Processing Files (0 / 1)      :  45%|████▍     | 2.62GB / 5.85GB,  184MB/s  

New Data Upload               :  97%|█████████▋| 2.61GB / 2.68GB,  184MB/s  


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Processing Files (0 / 1)      :  45%|████▌     | 2.64GB / 5.85GB,  186MB/s  

New Data Upload               :  98%|█████████▊| 2.64GB / 2.68GB,  186MB/s  


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New Data Upload               :  98%|█████████▊| 2.68GB / 2.75GB,  184MB/s  


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Processing Files (0 / 1)      :  47%|████▋     | 2.74GB / 5.85GB,  190MB/s  

New Data Upload               : 100%|█████████▉| 2.74GB / 2.75GB,  190MB/s  


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Processing Files (0 / 1)      :  47%|████▋     | 2.75GB / 5.85GB,  184MB/s  

New Data Upload               :  98%|█████████▊| 2.75GB / 2.82GB,  184MB/s  


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Processing Files (0 / 1)      :  48%|████▊     | 2.82GB / 5.85GB,  184MB/s  

New Data Upload               :  98%|█████████▊| 2.82GB / 2.88GB,  184MB/s  


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Processing Files (0 / 1)      :  48%|████▊     | 2.82GB / 5.85GB,  184MB/s  

New Data Upload               :  98%|█████████▊| 2.82GB / 2.88GB,  184MB/s  


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New Data Upload               :  98%|█████████▊| 2.88GB / 2.95GB,  184MB/s  


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Processing Files (0 / 1)      :  50%|████▉     | 2.91GB / 5.85GB,  187MB/s  

New Data Upload               :  99%|█████████▊| 2.91GB / 2.95GB,  187MB/s  


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New Data Upload               :  98%|█████████▊| 2.95GB / 3.02GB,  184MB/s  


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Processing Files (0 / 1)      :  52%|█████▏    | 3.02GB / 5.85GB,  191MB/s  

New Data Upload               : 100%|█████████▉| 3.02GB / 3.02GB,  191MB/s  


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New Data Upload               :  98%|█████████▊| 3.02GB / 3.09GB,  184MB/s  


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Processing Files (0 / 1)      :  53%|█████▎    | 3.09GB / 5.85GB,  186MB/s  

New Data Upload               :  98%|█████████▊| 3.08GB / 3.15GB,  186MB/s  


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Processing Files (0 / 1)      :  53%|█████▎    | 3.09GB / 5.85GB,  184MB/s  

New Data Upload               :  98%|█████████▊| 3.08GB / 3.15GB,  184MB/s  


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New Data Upload               :  98%|█████████▊| 3.15GB / 3.22GB,  184MB/s  


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Processing Files (0 / 1)      :  54%|█████▍    | 3.18GB / 5.85GB,  187MB/s  

New Data Upload               :  99%|█████████▉| 3.18GB / 3.22GB,  187MB/s  


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New Data Upload               :  98%|█████████▊| 3.22GB / 3.29GB,  184MB/s  


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Processing Files (0 / 1)      :  56%|█████▌    | 3.29GB / 5.85GB,  191MB/s  

New Data Upload               : 100%|█████████▉| 3.29GB / 3.29GB,  191MB/s  


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Processing Files (0 / 1)      :  56%|█████▌    | 3.29GB / 5.85GB,  184MB/s  

New Data Upload               :  98%|█████████▊| 3.29GB / 3.35GB,  184MB/s  


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New Data Upload               :  98%|█████████▊| 3.49GB / 3.55GB,  184MB/s  


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New Data Upload               :  98%|█████████▊| 3.62GB / 3.69GB,  190MB/s  


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New Data Upload               :  99%|█████████▉| 3.65GB / 3.69GB,  187MB/s  


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New Data Upload               :  98%|█████████▊| 3.69GB / 3.76GB,  184MB/s  


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INFO 2026-03-11 09:06:59 etrained.py:246 Model pushed to https://huggingface.co/hamidavatar/pi0fast-orange-hook-right-b32-20260311-0657

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No files have been modified since last commit. Skipping to prevent empty commit.
WARNING 2026-03-11 09:07:00 /hf_api.py:4298 No files have been modified since last commit. Skipping to prevent empty commit.
[Avatar] Pushed checkpoint (step 6000) OK
[Avatar] Tagged as 'step-6000'

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Training:  71%|███████   | 7080/10000 [2:29:55<1:15:44,  1.56s/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)

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Training:  71%|███████   | 7100/10000 [2:30:23<59:02,  1.22s/step]INFO 2026-03-11 09:29:45 ot_train.py:435 step:7K smpl:227K ep:773 epch:3.01 loss:1.508 grdn:7.583 lr:1.1e-05 updt_s:1.230 data_s:0.053

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Training:  80%|████████  | 8000/10000 [2:48:55<41:20,  1.24s/step]INFO 2026-03-11 09:48:17 ot_train.py:435 step:8K smpl:256K ep:871 epch:3.39 loss:1.377 grdn:7.514 lr:5.9e-06 updt_s:1.218 data_s:0.018
INFO 2026-03-11 09:48:17 ot_train.py:455 Checkpoint policy after step 8000
[Avatar] Pushing checkpoint (step 8000) to hamidavatar/pi0fast-orange-hook-right-b32-20260311-0657...

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Processing Files (0 / 1)      :  44%|████▍     | 2.59GB / 5.85GB,  192MB/s  

New Data Upload               :  97%|█████████▋| 2.55GB / 2.62GB,  191MB/s  


  ...11-0657/model.safetensors:  45%|████▌     | 2.66GB / 5.85GB            
Processing Files (0 / 1)      :  45%|████▌     | 2.66GB / 5.85GB,  198MB/s  

New Data Upload               :  97%|█████████▋| 2.61GB / 2.68GB,  197MB/s  


  ...11-0657/model.safetensors:  46%|████▌     | 2.69GB / 5.85GB            
Processing Files (0 / 1)      :  46%|████▌     | 2.69GB / 5.85GB,  195MB/s  

New Data Upload               :  99%|█████████▊| 2.65GB / 2.68GB,  194MB/s  


  ...11-0657/model.safetensors:  47%|████▋     | 2.72GB / 5.85GB            
Processing Files (0 / 1)      :  47%|████▋     | 2.72GB / 5.85GB,  196MB/s  

New Data Upload               :  98%|█████████▊| 2.68GB / 2.75GB,  196MB/s  


  ...11-0657/model.safetensors:  48%|████▊     | 2.79GB / 5.85GB            
Processing Files (0 / 1)      :  48%|████▊     | 2.79GB / 5.85GB,  198MB/s  

New Data Upload               : 100%|█████████▉| 2.75GB / 2.75GB,  197MB/s  


  ...11-0657/model.safetensors:  48%|████▊     | 2.79GB / 5.85GB            
Processing Files (0 / 1)      :  48%|████▊     | 2.79GB / 5.85GB,  193MB/s  

New Data Upload               :  98%|█████████▊| 2.75GB / 2.82GB,  192MB/s  


  ...11-0657/model.safetensors:  49%|████▉     | 2.86GB / 5.85GB            
Processing Files (0 / 1)      :  49%|████▉     | 2.86GB / 5.85GB,  198MB/s  

New Data Upload               :  98%|█████████▊| 2.82GB / 2.88GB,  197MB/s  


  ...11-0657/model.safetensors:  49%|████▉     | 2.86GB / 5.85GB            
Processing Files (0 / 1)      :  49%|████▉     | 2.86GB / 5.85GB,  191MB/s  

New Data Upload               :  98%|█████████▊| 2.82GB / 2.88GB,  191MB/s  


  ...11-0657/model.safetensors:  50%|█████     | 2.93GB / 5.85GB            
Processing Files (0 / 1)      :  50%|█████     | 2.93GB / 5.85GB,  198MB/s  

New Data Upload               :  98%|█████████▊| 2.88GB / 2.95GB,  197MB/s  


  ...11-0657/model.safetensors:  51%|█████     | 2.98GB / 5.85GB            
Processing Files (0 / 1)      :  51%|█████     | 2.98GB / 5.85GB,  196MB/s  

New Data Upload               : 100%|█████████▉| 2.94GB / 2.95GB,  196MB/s  


  ...11-0657/model.safetensors:  51%|█████     | 2.99GB / 5.85GB            
Processing Files (0 / 1)      :  51%|█████     | 2.99GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 2.95GB / 3.02GB,  197MB/s  


  ...11-0657/model.safetensors:  52%|█████▏    | 3.06GB / 5.85GB            
Processing Files (0 / 1)      :  52%|█████▏    | 3.06GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 3.02GB / 3.09GB,  197MB/s  


  ...11-0657/model.safetensors:  52%|█████▏    | 3.06GB / 5.85GB            
Processing Files (0 / 1)      :  52%|█████▏    | 3.06GB / 5.85GB,  191MB/s  

New Data Upload               :  98%|█████████▊| 3.02GB / 3.09GB,  191MB/s  


  ...11-0657/model.safetensors:  53%|█████▎    | 3.13GB / 5.85GB            
Processing Files (0 / 1)      :  53%|█████▎    | 3.13GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 3.08GB / 3.15GB,  197MB/s  


  ...11-0657/model.safetensors:  54%|█████▍    | 3.15GB / 5.85GB            
Processing Files (0 / 1)      :  54%|█████▍    | 3.15GB / 5.85GB,  193MB/s  

New Data Upload               :  98%|█████████▊| 3.10GB / 3.15GB,  193MB/s  


  ...11-0657/model.safetensors:  55%|█████▍    | 3.19GB / 5.85GB            
Processing Files (0 / 1)      :  55%|█████▍    | 3.19GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 3.15GB / 3.22GB,  197MB/s  


  ...11-0657/model.safetensors:  56%|█████▌    | 3.26GB / 5.85GB            
Processing Files (0 / 1)      :  56%|█████▌    | 3.26GB / 5.85GB,  197MB/s  

New Data Upload               : 100%|█████████▉| 3.22GB / 3.22GB,  197MB/s  


  ...11-0657/model.safetensors:  56%|█████▌    | 3.26GB / 5.85GB            
Processing Files (0 / 1)      :  56%|█████▌    | 3.26GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 3.22GB / 3.29GB,  197MB/s  


  ...11-0657/model.safetensors:  57%|█████▋    | 3.33GB / 5.85GB            
Processing Files (0 / 1)      :  57%|█████▋    | 3.33GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 3.29GB / 3.35GB,  197MB/s  


  ...11-0657/model.safetensors:  57%|█████▋    | 3.33GB / 5.85GB            
Processing Files (0 / 1)      :  57%|█████▋    | 3.33GB / 5.85GB,  191MB/s  

New Data Upload               :  98%|█████████▊| 3.29GB / 3.35GB,  191MB/s  


  ...11-0657/model.safetensors:  58%|█████▊    | 3.39GB / 5.85GB            
Processing Files (0 / 1)      :  58%|█████▊    | 3.39GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 3.35GB / 3.42GB,  197MB/s  


  ...11-0657/model.safetensors:  59%|█████▉    | 3.46GB / 5.85GB            
Processing Files (0 / 1)      :  59%|█████▉    | 3.46GB / 5.85GB,  197MB/s  

New Data Upload               : 100%|█████████▉| 3.42GB / 3.42GB,  197MB/s  


  ...11-0657/model.safetensors:  59%|█████▉    | 3.46GB / 5.85GB            


  ...11-0657/model.safetensors:  60%|██████    | 3.53GB / 5.85GB            
Processing Files (0 / 1)      :  60%|██████    | 3.53GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 3.49GB / 3.55GB,  197MB/s  


  ...11-0657/model.safetensors:  60%|██████    | 3.53GB / 5.85GB            
Processing Files (0 / 1)      :  60%|██████    | 3.53GB / 5.85GB,  196MB/s  

New Data Upload               :  98%|█████████▊| 3.49GB / 3.55GB,  196MB/s  


  ...11-0657/model.safetensors:  61%|██████▏   | 3.60GB / 5.85GB            
Processing Files (0 / 1)      :  61%|██████▏   | 3.60GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 3.55GB / 3.62GB,  197MB/s  


  ...11-0657/model.safetensors:  63%|██████▎   | 3.66GB / 5.85GB            
Processing Files (0 / 1)      :  63%|██████▎   | 3.66GB / 5.85GB,  197MB/s  

New Data Upload               : 100%|█████████▉| 3.62GB / 3.62GB,  197MB/s  


  ...11-0657/model.safetensors:  63%|██████▎   | 3.66GB / 5.85GB            


  ...11-0657/model.safetensors:  64%|██████▍   | 3.73GB / 5.85GB            
Processing Files (0 / 1)      :  64%|██████▍   | 3.73GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 3.69GB / 3.76GB,  197MB/s  


  ...11-0657/model.safetensors:  64%|██████▍   | 3.73GB / 5.85GB            
Processing Files (0 / 1)      :  64%|██████▍   | 3.73GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 3.69GB / 3.76GB,  197MB/s  


  ...11-0657/model.safetensors:  65%|██████▍   | 3.80GB / 5.85GB            
Processing Files (0 / 1)      :  65%|██████▍   | 3.80GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 3.75GB / 3.82GB,  197MB/s  


  ...11-0657/model.safetensors:  65%|██████▍   | 3.80GB / 5.85GB            
Processing Files (0 / 1)      :  65%|██████▍   | 3.80GB / 5.85GB,  191MB/s  

New Data Upload               :  98%|█████████▊| 3.75GB / 3.82GB,  191MB/s  


  ...11-0657/model.safetensors:  66%|██████▌   | 3.86GB / 5.85GB            
Processing Files (0 / 1)      :  66%|██████▌   | 3.86GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 3.82GB / 3.89GB,  197MB/s  


  ...11-0657/model.safetensors:  67%|██████▋   | 3.93GB / 5.85GB            
Processing Files (0 / 1)      :  67%|██████▋   | 3.93GB / 5.85GB,  197MB/s  

New Data Upload               : 100%|█████████▉| 3.89GB / 3.89GB,  197MB/s  


  ...11-0657/model.safetensors:  67%|██████▋   | 3.93GB / 5.85GB            
Processing Files (0 / 1)      :  67%|██████▋   | 3.93GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 3.89GB / 3.96GB,  197MB/s  


  ...11-0657/model.safetensors:  68%|██████▊   | 4.00GB / 5.85GB            
Processing Files (0 / 1)      :  68%|██████▊   | 4.00GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 3.96GB / 4.02GB,  197MB/s  


  ...11-0657/model.safetensors:  68%|██████▊   | 4.00GB / 5.85GB            


  ...11-0657/model.safetensors:  69%|██████▉   | 4.06GB / 5.85GB            
Processing Files (0 / 1)      :  69%|██████▉   | 4.06GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 4.02GB / 4.09GB,  197MB/s  


  ...11-0657/model.safetensors:  71%|███████   | 4.13GB / 5.85GB            
Processing Files (0 / 1)      :  71%|███████   | 4.13GB / 5.85GB,  197MB/s  

New Data Upload               : 100%|█████████▉| 4.09GB / 4.09GB,  197MB/s  


  ...11-0657/model.safetensors:  71%|███████   | 4.13GB / 5.85GB            
Processing Files (0 / 1)      :  71%|███████   | 4.13GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 4.09GB / 4.16GB,  197MB/s  


  ...11-0657/model.safetensors:  72%|███████▏  | 4.20GB / 5.85GB            
Processing Files (0 / 1)      :  72%|███████▏  | 4.20GB / 5.85GB,  197MB/s  

New Data Upload               : 100%|█████████▉| 4.16GB / 4.16GB,  197MB/s  


  ...11-0657/model.safetensors:  72%|███████▏  | 4.20GB / 5.85GB            
Processing Files (0 / 1)      :  72%|███████▏  | 4.20GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 4.16GB / 4.23GB,  197MB/s  


  ...11-0657/model.safetensors:  73%|███████▎  | 4.27GB / 5.85GB            
Processing Files (0 / 1)      :  73%|███████▎  | 4.27GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 4.22GB / 4.29GB,  197MB/s  


  ...11-0657/model.safetensors:  74%|███████▎  | 4.30GB / 5.85GB            
Processing Files (0 / 1)      :  74%|███████▎  | 4.30GB / 5.85GB,  194MB/s  

New Data Upload               :  99%|█████████▉| 4.26GB / 4.29GB,  194MB/s  


  ...11-0657/model.safetensors:  74%|███████▍  | 4.33GB / 5.85GB            
Processing Files (0 / 1)      :  74%|███████▍  | 4.33GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 4.29GB / 4.36GB,  197MB/s  


  ...11-0657/model.safetensors:  75%|███████▌  | 4.40GB / 5.85GB            
Processing Files (0 / 1)      :  75%|███████▌  | 4.40GB / 5.85GB,  197MB/s  

New Data Upload               : 100%|█████████▉| 4.36GB / 4.36GB,  197MB/s  


  ...11-0657/model.safetensors:  75%|███████▌  | 4.40GB / 5.85GB            
Processing Files (0 / 1)      :  75%|███████▌  | 4.40GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 4.36GB / 4.43GB,  197MB/s  


  ...11-0657/model.safetensors:  76%|███████▋  | 4.47GB / 5.85GB            
Processing Files (0 / 1)      :  76%|███████▋  | 4.47GB / 5.85GB,  197MB/s  

New Data Upload               :  98%|█████████▊| 4.43GB / 4.49GB,  197MB/s  


  ...11-0657/model.safetensors:  77%|███████▋  | 4.48GB / 5.85GB            
Processing Files (0 / 1)      :  77%|███████▋  | 4.48GB / 5.85GB,  193MB/s  

New Data Upload               :  99%|█████████▊| 4.44GB / 4.49GB,  193MB/s  


  ...11-0657/model.safetensors:  78%|███████▊  | 4.53GB / 5.85GB            
Processing Files (0 / 1)      :  78%|███████▊  | 4.53GB / 5.85GB,  197MB/s  

New Data Upload               :  99%|█████████▊| 4.49GB / 4.56GB,  197MB/s  


  ...11-0657/model.safetensors:  79%|███████▊  | 4.60GB / 5.85GB            
Processing Files (0 / 1)      :  79%|███████▊  | 4.60GB / 5.85GB,  197MB/s  

New Data Upload               : 100%|█████████▉| 4.56GB / 4.56GB,  197MB/s  


  ...11-0657/model.safetensors:  79%|███████▊  | 4.60GB / 5.85GB            


  ...11-0657/model.safetensors:  80%|███████▉  | 4.67GB / 5.85GB            
Processing Files (0 / 1)      :  80%|███████▉  | 4.67GB / 5.85GB,  197MB/s  

New Data Upload               :  99%|█████████▊| 4.63GB / 4.69GB,  197MB/s  


  ...11-0657/model.safetensors:  80%|███████▉  | 4.67GB / 5.85GB            
Processing Files (0 / 1)      :  80%|███████▉  | 4.67GB / 5.85GB,  194MB/s  

New Data Upload               :  99%|█████████▊| 4.63GB / 4.69GB,  194MB/s  


  ...11-0657/model.safetensors:  81%|████████  | 4.74GB / 5.85GB            
Processing Files (0 / 1)      :  81%|████████  | 4.74GB / 5.85GB,  197MB/s  

New Data Upload               :  99%|█████████▊| 4.69GB / 4.76GB,  197MB/s  


  ...11-0657/model.safetensors:  82%|████████▏ | 4.79GB / 5.85GB            
Processing Files (0 / 1)      :  82%|████████▏ | 4.79GB / 5.85GB,  196MB/s  

New Data Upload               : 100%|█████████▉| 4.75GB / 4.76GB,  196MB/s  


  ...11-0657/model.safetensors:  82%|████████▏ | 4.80GB / 5.85GB            
Processing Files (0 / 1)      :  82%|████████▏ | 4.80GB / 5.85GB,  197MB/s  

New Data Upload               :  99%|█████████▊| 4.76GB / 4.83GB,  197MB/s  


  ...11-0657/model.safetensors:  83%|████████▎ | 4.87GB / 5.85GB            
Processing Files (0 / 1)      :  83%|████████▎ | 4.87GB / 5.85GB,  197MB/s  

New Data Upload               : 100%|█████████▉| 4.83GB / 4.83GB,  197MB/s  


  ...11-0657/model.safetensors:  83%|████████▎ | 4.87GB / 5.85GB            
Processing Files (0 / 1)      :  83%|████████▎ | 4.87GB / 5.85GB,  197MB/s  

New Data Upload               :  99%|█████████▊| 4.83GB / 4.90GB,  197MB/s  


  ...11-0657/model.safetensors:  84%|████████▍ | 4.94GB / 5.85GB            
Processing Files (0 / 1)      :  84%|████████▍ | 4.94GB / 5.85GB,  197MB/s  

New Data Upload               :  99%|█████████▊| 4.90GB / 4.96GB,  197MB/s  


  ...11-0657/model.safetensors:  85%|████████▍ | 4.95GB / 5.85GB            
Processing Files (0 / 1)      :  85%|████████▍ | 4.95GB / 5.85GB,  194MB/s  

New Data Upload               :  99%|█████████▉| 4.91GB / 4.96GB,  194MB/s  


  ...11-0657/model.safetensors:  86%|████████▌ | 5.00GB / 5.85GB            
Processing Files (0 / 1)      :  86%|████████▌ | 5.00GB / 5.85GB,  197MB/s  

New Data Upload               :  99%|█████████▊| 4.96GB / 5.03GB,  197MB/s  


  ...11-0657/model.safetensors:  87%|████████▋ | 5.07GB / 5.85GB            
Processing Files (0 / 1)      :  87%|████████▋ | 5.07GB / 5.85GB,  197MB/s  

New Data Upload               : 100%|█████████▉| 5.03GB / 5.03GB,  197MB/s  


  ...11-0657/model.safetensors:  87%|████████▋ | 5.07GB / 5.85GB            
Processing Files (0 / 1)      :  87%|████████▋ | 5.07GB / 5.85GB,  197MB/s  

New Data Upload               :  99%|█████████▊| 5.03GB / 5.10GB,  197MB/s  


  ...11-0657/model.safetensors:  88%|████████▊ | 5.14GB / 5.85GB            
Processing Files (0 / 1)      :  88%|████████▊ | 5.14GB / 5.85GB,  197MB/s  

New Data Upload               :  99%|█████████▊| 5.10GB / 5.16GB,  197MB/s  


  ...11-0657/model.safetensors:  88%|████████▊ | 5.14GB / 5.85GB            


  ...11-0657/model.safetensors:  89%|████████▉ | 5.21GB / 5.85GB            
Processing Files (0 / 1)      :  89%|████████▉ | 5.21GB / 5.85GB,  197MB/s  

New Data Upload               :  99%|█████████▊| 5.16GB / 5.23GB,  197MB/s  


  ...11-0657/model.safetensors:  89%|████████▉ | 5.21GB / 5.85GB            


  ...11-0657/model.safetensors:  90%|█████████ | 5.27GB / 5.85GB            
Processing Files (0 / 1)      :  90%|█████████ | 5.27GB / 5.85GB,  197MB/s  

New Data Upload               :  99%|█████████▊| 5.23GB / 5.30GB,  197MB/s  


  ...11-0657/model.safetensors:  90%|█████████ | 5.27GB / 5.85GB            
Processing Files (0 / 1)      :  90%|█████████ | 5.27GB / 5.85GB,  191MB/s  

New Data Upload               :  99%|█████████▊| 5.23GB / 5.30GB,  191MB/s  


  ...11-0657/model.safetensors:  91%|█████████▏| 5.34GB / 5.85GB            
Processing Files (0 / 1)      :  91%|█████████▏| 5.34GB / 5.85GB,  197MB/s  

New Data Upload               :  99%|█████████▊| 5.30GB / 5.37GB,  197MB/s  


  ...11-0657/model.safetensors:  91%|█████████▏| 5.34GB / 5.85GB            


  ...11-0657/model.safetensors:  92%|█████████▏| 5.41GB / 5.85GB            
Processing Files (0 / 1)      :  92%|█████████▏| 5.41GB / 5.85GB,  191MB/s  

New Data Upload               :  99%|█████████▊| 5.36GB / 5.43GB,  191MB/s  


  ...11-0657/model.safetensors:  92%|█████████▏| 5.41GB / 5.85GB            


  ...11-0657/model.safetensors:  94%|█████████▎| 5.47GB / 5.85GB            
Processing Files (0 / 1)      :  94%|█████████▎| 5.47GB / 5.85GB,  191MB/s  

New Data Upload               :  99%|█████████▉| 5.43GB / 5.50GB,  191MB/s  


  ...11-0657/model.safetensors:  94%|█████████▍| 5.53GB / 5.85GB            
Processing Files (0 / 1)      :  94%|█████████▍| 5.53GB / 5.85GB,  196MB/s  

New Data Upload               : 100%|█████████▉| 5.48GB / 5.50GB,  196MB/s  


  ...11-0657/model.safetensors:  95%|█████████▍| 5.54GB / 5.85GB            
Processing Files (0 / 1)      :  95%|█████████▍| 5.54GB / 5.85GB,  191MB/s  

New Data Upload               :  99%|█████████▉| 5.50GB / 5.57GB,  191MB/s  


  ...11-0657/model.safetensors:  96%|█████████▌| 5.61GB / 5.85GB            
Processing Files (0 / 1)      :  96%|█████████▌| 5.61GB / 5.85GB,  191MB/s  

New Data Upload               : 100%|█████████▉| 5.57GB / 5.57GB,  191MB/s  


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INFO 2026-03-11 09:49:16 etrained.py:246 Model pushed to https://huggingface.co/hamidavatar/pi0fast-orange-hook-right-b32-20260311-0657

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[Avatar] Pushed checkpoint (step 8000) OK
[Avatar] Tagged as 'step-8000'

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Training:  81%|████████  | 8100/10000 [2:52:01<40:06,  1.27s/step]INFO 2026-03-11 09:51:23 ot_train.py:435 step:8K smpl:259K ep:882 epch:3.43 loss:1.413 grdn:7.730 lr:5.5e-06 updt_s:1.234 data_s:0.018

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Training:  94%|█████████▍| 9440/10000 [3:19:44<15:17,  1.64s/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)

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Training:  95%|█████████▌| 9500/10000 [3:21:02<10:24,  1.25s/step]INFO 2026-03-11 10:20:24 ot_train.py:435 step:10K smpl:304K ep:1K epch:4.03 loss:1.392 grdn:7.567 lr:1.4e-06 updt_s:1.227 data_s:0.060

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Training: 100%|██████████| 10000/10000 [3:31:24<00:00,  1.25s/step]INFO 2026-03-11 10:30:46 ot_train.py:435 step:10K smpl:320K ep:1K epch:4.24 loss:1.386 grdn:7.396 lr:1.0e-06 updt_s:1.225 data_s:0.019
INFO 2026-03-11 10:30:46 ot_train.py:455 Checkpoint policy after step 10000
[Avatar] Pushing checkpoint (step 10000) to hamidavatar/pi0fast-orange-hook-right-b32-20260311-0657...

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New Data Upload               :  96%|█████████▋| 1.81GB / 1.88GB,  164MB/s  


  ...11-0657/model.safetensors:  39%|███▊      | 2.26GB / 5.85GB            
Processing Files (0 / 1)      :  39%|███▊      | 2.26GB / 5.85GB,  188MB/s  

New Data Upload               :  96%|█████████▋| 1.81GB / 1.88GB,  164MB/s  


  ...11-0657/model.safetensors:  40%|███▉      | 2.33GB / 5.85GB            
Processing Files (0 / 1)      :  40%|███▉      | 2.33GB / 5.85GB,  185MB/s  

New Data Upload               :  97%|█████████▋| 1.88GB / 1.94GB,  164MB/s  


  ...11-0657/model.safetensors:  41%|████      | 2.38GB / 5.85GB            
Processing Files (0 / 1)      :  41%|████      | 2.38GB / 5.85GB,  190MB/s  

New Data Upload               :  99%|█████████▉| 1.93GB / 1.94GB,  170MB/s  


  ...11-0657/model.safetensors:  41%|████      | 2.40GB / 5.85GB            
Processing Files (0 / 1)      :  41%|████      | 2.40GB / 5.85GB,  182MB/s  

New Data Upload               :  97%|█████████▋| 1.94GB / 2.01GB,  164MB/s  


  ...11-0657/model.safetensors:  42%|████▏     | 2.46GB / 5.85GB            
Processing Files (0 / 1)      :  42%|████▏     | 2.46GB / 5.85GB,  185MB/s  

New Data Upload               : 100%|█████████▉| 2.01GB / 2.01GB,  171MB/s  


  ...11-0657/model.safetensors:  42%|████▏     | 2.46GB / 5.85GB            
Processing Files (0 / 1)      :  42%|████▏     | 2.46GB / 5.85GB,  186MB/s  

New Data Upload               :  97%|█████████▋| 2.01GB / 2.08GB,  171MB/s  


  ...11-0657/model.safetensors:  43%|████▎     | 2.53GB / 5.85GB            
Processing Files (0 / 1)      :  43%|████▎     | 2.53GB / 5.85GB,  184MB/s  

New Data Upload               : 100%|█████████▉| 2.08GB / 2.08GB,  171MB/s  


  ...11-0657/model.safetensors:  43%|████▎     | 2.53GB / 5.85GB            


  ...11-0657/model.safetensors:  44%|████▍     | 2.60GB / 5.85GB            
Processing Files (0 / 1)      :  44%|████▍     | 2.60GB / 5.85GB,  188MB/s  

New Data Upload               : 100%|█████████▉| 2.14GB / 2.15GB,  177MB/s  


  ...11-0657/model.safetensors:  44%|████▍     | 2.60GB / 5.85GB            
Processing Files (0 / 1)      :  44%|████▍     | 2.60GB / 5.85GB,  179MB/s  

New Data Upload               :  97%|█████████▋| 2.15GB / 2.21GB,  171MB/s  


  ...11-0657/model.safetensors:  46%|████▌     | 2.66GB / 5.85GB            
Processing Files (0 / 1)      :  46%|████▌     | 2.66GB / 5.85GB,  185MB/s  

New Data Upload               :  97%|█████████▋| 2.21GB / 2.28GB,  178MB/s  


  ...11-0657/model.safetensors:  46%|████▌     | 2.66GB / 5.85GB            


  ...11-0657/model.safetensors:  47%|████▋     | 2.73GB / 5.85GB            
Processing Files (0 / 1)      :  47%|████▋     | 2.73GB / 5.85GB,  182MB/s  

New Data Upload               :  97%|█████████▋| 2.28GB / 2.35GB,  178MB/s  


  ...11-0657/model.safetensors:  47%|████▋     | 2.73GB / 5.85GB            
Processing Files (0 / 1)      :  47%|████▋     | 2.73GB / 5.85GB,  182MB/s  

New Data Upload               :  97%|█████████▋| 2.28GB / 2.35GB,  178MB/s  


  ...11-0657/model.safetensors:  48%|████▊     | 2.80GB / 5.85GB            
Processing Files (0 / 1)      :  48%|████▊     | 2.80GB / 5.85GB,  180MB/s  

New Data Upload               :  97%|█████████▋| 2.35GB / 2.41GB,  178MB/s  


  ...11-0657/model.safetensors:  48%|████▊     | 2.82GB / 5.85GB            
Processing Files (0 / 1)      :  48%|████▊     | 2.82GB / 5.85GB,  179MB/s  

New Data Upload               :  98%|█████████▊| 2.36GB / 2.41GB,  179MB/s  


  ...11-0657/model.safetensors:  49%|████▉     | 2.87GB / 5.85GB            
Processing Files (0 / 1)      :  49%|████▉     | 2.87GB / 5.85GB,  184MB/s  

New Data Upload               :  97%|█████████▋| 2.41GB / 2.48GB,  184MB/s  


  ...11-0657/model.safetensors:  50%|█████     | 2.93GB / 5.85GB            
Processing Files (0 / 1)      :  50%|█████     | 2.93GB / 5.85GB,  184MB/s  

New Data Upload               : 100%|█████████▉| 2.48GB / 2.48GB,  184MB/s  


  ...11-0657/model.safetensors:  50%|█████     | 2.93GB / 5.85GB            


  ...11-0657/model.safetensors:  51%|█████▏    | 3.00GB / 5.85GB            
Processing Files (0 / 1)      :  51%|█████▏    | 3.00GB / 5.85GB,  184MB/s  

New Data Upload               :  97%|█████████▋| 2.55GB / 2.62GB,  184MB/s  


  ...11-0657/model.safetensors:  51%|█████▏    | 3.00GB / 5.85GB            
Processing Files (0 / 1)      :  51%|█████▏    | 3.00GB / 5.85GB,  178MB/s  

New Data Upload               :  97%|█████████▋| 2.55GB / 2.62GB,  178MB/s  


  ...11-0657/model.safetensors:  52%|█████▏    | 3.07GB / 5.85GB            
Processing Files (0 / 1)      :  52%|█████▏    | 3.07GB / 5.85GB,  184MB/s  

New Data Upload               :  97%|█████████▋| 2.62GB / 2.68GB,  184MB/s  


  ...11-0657/model.safetensors:  52%|█████▏    | 3.07GB / 5.85GB            
Processing Files (0 / 1)      :  52%|█████▏    | 3.07GB / 5.85GB,  178MB/s  

New Data Upload               :  98%|█████████▊| 2.62GB / 2.68GB,  178MB/s  


  ...11-0657/model.safetensors:  54%|█████▎    | 3.13GB / 5.85GB            
Processing Files (0 / 1)      :  54%|█████▎    | 3.13GB / 5.85GB,  184MB/s  

New Data Upload               :  98%|█████████▊| 2.68GB / 2.75GB,  184MB/s  


  ...11-0657/model.safetensors:  54%|█████▍    | 3.15GB / 5.85GB            
Processing Files (0 / 1)      :  54%|█████▍    | 3.15GB / 5.85GB,  179MB/s  

New Data Upload               :  98%|█████████▊| 2.69GB / 2.75GB,  179MB/s  


  ...11-0657/model.safetensors:  55%|█████▍    | 3.20GB / 5.85GB            
Processing Files (0 / 1)      :  55%|█████▍    | 3.20GB / 5.85GB,  184MB/s  

New Data Upload               :  98%|█████████▊| 2.75GB / 2.82GB,  184MB/s  


  ...11-0657/model.safetensors:  55%|█████▍    | 3.22GB / 5.85GB            
Processing Files (0 / 1)      :  55%|█████▍    | 3.22GB / 5.85GB,  179MB/s  

New Data Upload               :  98%|█████████▊| 2.76GB / 2.82GB,  179MB/s  


  ...11-0657/model.safetensors:  56%|█████▌    | 3.27GB / 5.85GB            
Processing Files (0 / 1)      :  56%|█████▌    | 3.27GB / 5.85GB,  183MB/s  

New Data Upload               :  98%|█████████▊| 2.82GB / 2.88GB,  183MB/s  


  ...11-0657/model.safetensors:  56%|█████▌    | 3.27GB / 5.85GB            


  ...11-0657/model.safetensors:  57%|█████▋    | 3.33GB / 5.85GB            
Processing Files (0 / 1)      :  57%|█████▋    | 3.33GB / 5.85GB,  178MB/s  

New Data Upload               :  98%|█████████▊| 2.88GB / 2.95GB,  178MB/s  


  ...11-0657/model.safetensors:  58%|█████▊    | 3.39GB / 5.85GB            
Processing Files (0 / 1)      :  58%|█████▊    | 3.39GB / 5.85GB,  183MB/s  

New Data Upload               : 100%|█████████▉| 2.94GB / 2.95GB,  183MB/s  


  ...11-0657/model.safetensors:  58%|█████▊    | 3.40GB / 5.85GB            
Processing Files (0 / 1)      :  58%|█████▊    | 3.40GB / 5.85GB,  177MB/s  

New Data Upload               :  98%|█████████▊| 2.95GB / 3.02GB,  177MB/s  


  ...11-0657/model.safetensors:  59%|█████▉    | 3.47GB / 5.85GB            
Processing Files (0 / 1)      :  59%|█████▉    | 3.47GB / 5.85GB,  184MB/s  

New Data Upload               : 100%|█████████▉| 3.02GB / 3.02GB,  184MB/s  


  ...11-0657/model.safetensors:  59%|█████▉    | 3.47GB / 5.85GB            
Processing Files (0 / 1)      :  59%|█████▉    | 3.47GB / 5.85GB,  178MB/s  

New Data Upload               :  98%|█████████▊| 3.02GB / 3.08GB,  178MB/s  


  ...11-0657/model.safetensors:  60%|██████    | 3.54GB / 5.85GB            
Processing Files (0 / 1)      :  60%|██████    | 3.54GB / 5.85GB,  183MB/s  

New Data Upload               :  98%|█████████▊| 3.08GB / 3.15GB,  183MB/s  


  ...11-0657/model.safetensors:  60%|██████    | 3.54GB / 5.85GB            


  ...11-0657/model.safetensors:  62%|██████▏   | 3.60GB / 5.85GB            
Processing Files (0 / 1)      :  62%|██████▏   | 3.60GB / 5.85GB,  181MB/s  

New Data Upload               :  98%|█████████▊| 3.15GB / 3.22GB,  181MB/s  


  ...11-0657/model.safetensors:  62%|██████▏   | 3.60GB / 5.85GB            
Processing Files (0 / 1)      :  62%|██████▏   | 3.60GB / 5.85GB,  178MB/s  

New Data Upload               :  98%|█████████▊| 3.15GB / 3.22GB,  178MB/s  


  ...11-0657/model.safetensors:  63%|██████▎   | 3.67GB / 5.85GB            
Processing Files (0 / 1)      :  63%|██████▎   | 3.67GB / 5.85GB,  178MB/s  

New Data Upload               :  98%|█████████▊| 3.22GB / 3.29GB,  178MB/s  


  ...11-0657/model.safetensors:  63%|██████▎   | 3.67GB / 5.85GB            
Processing Files (0 / 1)      :  63%|██████▎   | 3.67GB / 5.85GB,  178MB/s  

New Data Upload               :  98%|█████████▊| 3.22GB / 3.29GB,  178MB/s  


  ...11-0657/model.safetensors:  64%|██████▍   | 3.74GB / 5.85GB            
Processing Files (0 / 1)      :  64%|██████▍   | 3.74GB / 5.85GB,  178MB/s  

New Data Upload               :  98%|█████████▊| 3.29GB / 3.35GB,  178MB/s  


  ...11-0657/model.safetensors:  64%|██████▍   | 3.74GB / 5.85GB            


  ...11-0657/model.safetensors:  65%|██████▌   | 3.80GB / 5.85GB            
Processing Files (0 / 1)      :  65%|██████▌   | 3.80GB / 5.85GB,  177MB/s  

New Data Upload               :  98%|█████████▊| 3.35GB / 3.42GB,  177MB/s  


  ...11-0657/model.safetensors:  65%|██████▌   | 3.80GB / 5.85GB            
Processing Files (0 / 1)      :  65%|██████▌   | 3.80GB / 5.85GB,  178MB/s  

New Data Upload               :  98%|█████████▊| 3.35GB / 3.42GB,  178MB/s  


  ...11-0657/model.safetensors:  66%|██████▌   | 3.87GB / 5.85GB            
Processing Files (0 / 1)      :  66%|██████▌   | 3.87GB / 5.85GB,  177MB/s  

New Data Upload               :  98%|█████████▊| 3.42GB / 3.49GB,  177MB/s  


  ...11-0657/model.safetensors:  67%|██████▋   | 3.91GB / 5.85GB            
Processing Files (0 / 1)      :  67%|██████▋   | 3.91GB / 5.85GB,  182MB/s  

New Data Upload               :  99%|█████████▉| 3.46GB / 3.49GB,  182MB/s  


  ...11-0657/model.safetensors:  67%|██████▋   | 3.94GB / 5.85GB            
Processing Files (0 / 1)      :  67%|██████▋   | 3.94GB / 5.85GB,  178MB/s  

New Data Upload               :  98%|█████████▊| 3.49GB / 3.55GB,  178MB/s  


  ...11-0657/model.safetensors:  68%|██████▊   | 4.01GB / 5.85GB            
Processing Files (0 / 1)      :  68%|██████▊   | 4.01GB / 5.85GB,  184MB/s  

New Data Upload               : 100%|█████████▉| 3.55GB / 3.55GB,  184MB/s  


  ...11-0657/model.safetensors:  68%|██████▊   | 4.01GB / 5.85GB            
Processing Files (0 / 1)      :  68%|██████▊   | 4.01GB / 5.85GB,  178MB/s  

New Data Upload               :  98%|█████████▊| 3.55GB / 3.62GB,  178MB/s  


  ...11-0657/model.safetensors:  70%|██████▉   | 4.07GB / 5.85GB            
Processing Files (0 / 1)      :  70%|██████▉   | 4.07GB / 5.85GB,  183MB/s  

New Data Upload               : 100%|█████████▉| 3.62GB / 3.62GB,  183MB/s  


  ...11-0657/model.safetensors:  70%|██████▉   | 4.07GB / 5.85GB            
Processing Files (0 / 1)      :  70%|██████▉   | 4.07GB / 5.85GB,  178MB/s  

New Data Upload               :  98%|█████████▊| 3.62GB / 3.69GB,  178MB/s  


  ...11-0657/model.safetensors:  71%|███████   | 4.14GB / 5.85GB            
Processing Files (0 / 1)      :  71%|███████   | 4.14GB / 5.85GB,  184MB/s  

New Data Upload               : 100%|█████████▉| 3.69GB / 3.69GB,  184MB/s  


  ...11-0657/model.safetensors:  71%|███████   | 4.14GB / 5.85GB            


  ...11-0657/model.safetensors:  72%|███████▏  | 4.21GB / 5.85GB            
Processing Files (0 / 1)      :  72%|███████▏  | 4.21GB / 5.85GB,  179MB/s  

New Data Upload               :  98%|█████████▊| 3.75GB / 3.82GB,  179MB/s  


  ...11-0657/model.safetensors:  72%|███████▏  | 4.21GB / 5.85GB            
Processing Files (0 / 1)      :  72%|███████▏  | 4.21GB / 5.85GB,  178MB/s  

New Data Upload               :  98%|█████████▊| 3.75GB / 3.82GB,  178MB/s  


  ...11-0657/model.safetensors:  73%|███████▎  | 4.27GB / 5.85GB            
Processing Files (0 / 1)      :  73%|███████▎  | 4.27GB / 5.85GB,  178MB/s  

New Data Upload               :  98%|█████████▊| 3.82GB / 3.89GB,  178MB/s  


  ...11-0657/model.safetensors:  74%|███████▍  | 4.33GB / 5.85GB            
Processing Files (0 / 1)      :  74%|███████▍  | 4.33GB / 5.85GB,  183MB/s  

New Data Upload               : 100%|█████████▉| 3.88GB / 3.89GB,  183MB/s  


  ...11-0657/model.safetensors:  74%|███████▍  | 4.34GB / 5.85GB            
Processing Files (0 / 1)      :  74%|███████▍  | 4.34GB / 5.85GB,  178MB/s  

New Data Upload               :  98%|█████████▊| 3.89GB / 3.96GB,  178MB/s  


  ...11-0657/model.safetensors:  75%|███████▌  | 4.41GB / 5.85GB            
Processing Files (0 / 1)      :  75%|███████▌  | 4.41GB / 5.85GB,  184MB/s  

New Data Upload               : 100%|█████████▉| 3.95GB / 3.96GB,  184MB/s  


  ...11-0657/model.safetensors:  75%|███████▌  | 4.41GB / 5.85GB            
Processing Files (0 / 1)      :  75%|███████▌  | 4.41GB / 5.85GB,  178MB/s  

New Data Upload               :  98%|█████████▊| 3.96GB / 4.02GB,  178MB/s  


  ...11-0657/model.safetensors:  77%|███████▋  | 4.47GB / 5.85GB            
Processing Files (0 / 1)      :  77%|███████▋  | 4.47GB / 5.85GB,  184MB/s  

New Data Upload               :  98%|█████████▊| 4.02GB / 4.09GB,  184MB/s  


  ...11-0657/model.safetensors:  77%|███████▋  | 4.52GB / 5.85GB            
Processing Files (0 / 1)      :  77%|███████▋  | 4.52GB / 5.85GB,  182MB/s  

New Data Upload               :  99%|█████████▉| 4.06GB / 4.09GB,  182MB/s  


  ...11-0657/model.safetensors:  78%|███████▊  | 4.54GB / 5.85GB            
Processing Files (0 / 1)      :  78%|███████▊  | 4.54GB / 5.85GB,  184MB/s  

New Data Upload               :  98%|█████████▊| 4.09GB / 4.16GB,  184MB/s  


  ...11-0657/model.safetensors:  79%|███████▉  | 4.61GB / 5.85GB            
Processing Files (0 / 1)      :  79%|███████▉  | 4.61GB / 5.85GB,  184MB/s  

New Data Upload               : 100%|█████████▉| 4.16GB / 4.16GB,  184MB/s  


  ...11-0657/model.safetensors:  79%|███████▉  | 4.61GB / 5.85GB            


  ...11-0657/model.safetensors:  80%|███████▉  | 4.68GB / 5.85GB            
Processing Files (0 / 1)      :  80%|███████▉  | 4.68GB / 5.85GB,  184MB/s  

New Data Upload               :  98%|█████████▊| 4.22GB / 4.29GB,  184MB/s  


  ...11-0657/model.safetensors:  80%|███████▉  | 4.68GB / 5.85GB            
Processing Files (0 / 1)      :  80%|███████▉  | 4.68GB / 5.85GB,  182MB/s  

New Data Upload               :  98%|█████████▊| 4.22GB / 4.29GB,  182MB/s  


  ...11-0657/model.safetensors:  81%|████████  | 4.74GB / 5.85GB            
Processing Files (0 / 1)      :  81%|████████  | 4.74GB / 5.85GB,  184MB/s  

New Data Upload               :  98%|█████████▊| 4.29GB / 4.36GB,  184MB/s  


  ...11-0657/model.safetensors:  82%|████████▏ | 4.81GB / 5.85GB            
Processing Files (0 / 1)      :  82%|████████▏ | 4.81GB / 5.85GB,  184MB/s  

New Data Upload               : 100%|█████████▉| 4.36GB / 4.36GB,  184MB/s  


  ...11-0657/model.safetensors:  82%|████████▏ | 4.81GB / 5.85GB            


  ...11-0657/model.safetensors:  83%|████████▎ | 4.88GB / 5.85GB            
Processing Files (0 / 1)      :  83%|████████▎ | 4.88GB / 5.85GB,  184MB/s  

New Data Upload               :  98%|█████████▊| 4.42GB / 4.49GB,  184MB/s  


  ...11-0657/model.safetensors:  83%|████████▎ | 4.88GB / 5.85GB            
Processing Files (0 / 1)      :  83%|████████▎ | 4.88GB / 5.85GB,  184MB/s  

New Data Upload               :  98%|█████████▊| 4.43GB / 4.49GB,  184MB/s  


  ...11-0657/model.safetensors:  85%|████████▍ | 4.94GB / 5.85GB            
Processing Files (0 / 1)      :  85%|████████▍ | 4.94GB / 5.85GB,  184MB/s  

New Data Upload               :  99%|█████████▊| 4.49GB / 4.56GB,  184MB/s  


  ...11-0657/model.safetensors:  85%|████████▌ | 4.99GB / 5.85GB            
Processing Files (0 / 1)      :  85%|████████▌ | 4.99GB / 5.85GB,  188MB/s  

New Data Upload               :  99%|█████████▉| 4.54GB / 4.56GB,  188MB/s  


  ...11-0657/model.safetensors:  86%|████████▌ | 5.01GB / 5.85GB            
Processing Files (0 / 1)      :  86%|████████▌ | 5.01GB / 5.85GB,  184MB/s  

New Data Upload               :  99%|█████████▊| 4.56GB / 4.63GB,  184MB/s  


  ...11-0657/model.safetensors:  87%|████████▋ | 5.08GB / 5.85GB            
Processing Files (0 / 1)      :  87%|████████▋ | 5.08GB / 5.85GB,  189MB/s  

New Data Upload               :  99%|█████████▊| 4.63GB / 4.69GB,  189MB/s  


  ...11-0657/model.safetensors:  87%|████████▋ | 5.08GB / 5.85GB            


  ...11-0657/model.safetensors:  88%|████████▊ | 5.15GB / 5.85GB            
Processing Files (0 / 1)      :  88%|████████▊ | 5.15GB / 5.85GB,  189MB/s  

New Data Upload               :  99%|█████████▊| 4.69GB / 4.76GB,  189MB/s  


  ...11-0657/model.safetensors:  88%|████████▊ | 5.16GB / 5.85GB            
Processing Files (0 / 1)      :  88%|████████▊ | 5.16GB / 5.85GB,  186MB/s  

New Data Upload               :  99%|█████████▉| 4.71GB / 4.76GB,  186MB/s  


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INFO 2026-03-11 10:31:48 etrained.py:246 Model pushed to https://huggingface.co/hamidavatar/pi0fast-orange-hook-right-b32-20260311-0657

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No files have been modified since last commit. Skipping to prevent empty commit.
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WARNING 2026-03-11 10:31:50 /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: 100%|██████████| 10000/10000 [3:32:29<00:00,  1.27s/step]
INFO 2026-03-11 10:31:51 ot_train.py:529 End of training

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No files have been modified since last commit. Skipping to prevent empty commit.
WARNING 2026-03-11 10:32:21 /hf_api.py:4298 No files have been modified since last commit. Skipping to prevent empty commit.
INFO 2026-03-11 10:32:21 etrained.py:246 Model pushed to https://huggingface.co/hamidavatar/pi0fast-orange-hook-right-b32-20260311-0657

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No files have been modified since last commit. Skipping to prevent empty commit.
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No files have been modified since last commit. Skipping to prevent empty commit.
WARNING 2026-03-11 10:32:22 /hf_api.py:4298 No files have been modified since last commit. Skipping to prevent empty commit.

>>> Training finished with exit code 0
Ended: 2026-03-11 10:32:27 UTC
>>> Saving training log to HuggingFace...