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=== Avatar Training (fire-and-forget) ===
Script: train_on_hf.py
Started: 2026-03-13 06:19:14 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...
Traceback (most recent call last):
File "<string>", line 9, in <module>
File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
validate_repo_id(arg_value)
File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_validators.py", line 160, in validate_repo_id
raise HFValidationError(
huggingface_hub.errors.HFValidationError: Repo id must use alphanumeric chars or '-', '_', '.', '--' and '..' are forbidden, '-' and '.' cannot start or end the name, max length is 96: 'avatarrobotics/act-alpha-bot-right-resnet18-b256-20260312-2358:step-80000'.
Downloading avatarrobotics/act-alpha-bot-right-resnet18-b256-20260312-2358:step-80000...
GPUs: 8x NVIDIA H100 80GB HBM3
>>> [4/4] Launching accelerate with 8 GPUs...
Script: train_on_hf.py
Train args: --dataset alpha_bot_right_afternoon --steps 100000 --batch-size 32 --lr 1e-4 --backbone resnet18 --preload --mixed-precision bf16 --num-workers 8 --prefetch-factor 4 --save-freq 10000 --push-to-hub --pretrained-path avatarrobotics/act-alpha-bot-right-resnet18-b256-20260312-2358:step-80000
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`.
Model will be pushed to: avatarrobotics/act-alpha-bot-right-resnet18-b256-20260313-0619
Model will be pushed to: avatarrobotics/act-alpha-bot-right-resnet18-b256-20260313-0619
[Avatar] Mixed precision: bf16
============================================================
Training args:
mixed_precision=bf16
video_backend=pyav
prefetch_factor=4
preload=True
compile=False
backbone=resnet18
lerobot_train \
--dataset.repo_id=avatarrobotics/alpha-bot-right-2026-03-11-afternoon \
--dataset.video_backend=pyav \
--policy.repo_id=avatarrobotics/act-alpha-bot-right-resnet18-b256-20260313-0619 \
--policy.type=act \
--policy.chunk_size=100 \
--policy.n_action_steps=100 \
--policy.vision_backbone=resnet18 \
--policy.pretrained_backbone_weights=ResNet18_Weights.IMAGENET1K_V1 \
--policy.dim_model=512 \
--policy.n_heads=8 \
--policy.dim_feedforward=3200 \
--policy.n_encoder_layers=4 \
--policy.n_decoder_layers=1 \
--policy.use_vae=true \
--policy.latent_dim=32 \
--policy.n_vae_encoder_layers=4 \
--policy.dropout=0.1 \
--policy.kl_weight=10.0 \
--policy.optimizer_lr=0.0001 \
--policy.optimizer_weight_decay=1e-4 \
--policy.optimizer_lr_backbone=0.0001 \
--batch_size=32 \
--steps=100000 \
--save_freq=10000 \
--log_freq=200 \
--save_checkpoint=true \
--seed=1000 \
--num_workers=8 \
--output_dir=outputs/train/act-vacuum-pick \
--policy.pretrained_path=avatarrobotics/act-alpha-bot-right-resnet18-b256-20260312-2358:step-80000 \
--policy.push_to_hub=true \
--policy.private=true
============================================================
Model will be pushed to: avatarrobotics/act-alpha-bot-right-resnet18-b256-20260313-0619
[Avatar] Mixed precision: bf16
============================================================
Training args:
mixed_precision=bf16
video_backend=pyav
prefetch_factor=4
preload=True
compile=False
backbone=resnet18
Model will be pushed to: avatarrobotics/act-alpha-bot-right-resnet18-b256-20260313-0619lerobot_train \
--dataset.repo_id=avatarrobotics/alpha-bot-right-2026-03-11-afternoon \
--dataset.video_backend=pyav \
--policy.repo_id=avatarrobotics/act-alpha-bot-right-resnet18-b256-20260313-0619 \
--policy.type=act \
--policy.chunk_size=100 \
--policy.n_action_steps=100 \
--policy.vision_backbone=resnet18 \
--policy.pretrained_backbone_weights=ResNet18_Weights.IMAGENET1K_V1 \
--policy.dim_model=512 \
--policy.n_heads=8 \
--policy.dim_feedforward=3200 \
--policy.n_encoder_layers=4 \
--policy.n_decoder_layers=1 \
--policy.use_vae=true \
--policy.latent_dim=32 \
--policy.n_vae_encoder_layers=4 \
--policy.dropout=0.1 \
--policy.kl_weight=10.0 \
--policy.optimizer_lr=0.0001 \
--policy.optimizer_weight_decay=1e-4 \
--policy.optimizer_lr_backbone=0.0001 \
--batch_size=32 \
--steps=100000 \
--save_freq=10000 \
--log_freq=200 \
--save_checkpoint=true \
--seed=1000 \
--num_workers=8 \
--output_dir=outputs/train/act-vacuum-pick \
--policy.pretrained_path=avatarrobotics/act-alpha-bot-right-resnet18-b256-20260312-2358:step-80000 \
--policy.push_to_hub=true \
--policy.private=true
============================================================
[Avatar] Mixed precision: bf16
============================================================
Training args:
mixed_precision=bf16
video_backend=pyav
prefetch_factor=4
preload=True
compile=False
backbone=resnet18
lerobot_train \
--dataset.repo_id=avatarrobotics/alpha-bot-right-2026-03-11-afternoon \
--dataset.video_backend=pyav \
--policy.repo_id=avatarrobotics/act-alpha-bot-right-resnet18-b256-20260313-0619 \
--policy.type=act \
--policy.chunk_size=100 \
--policy.n_action_steps=100 \
--policy.vision_backbone=resnet18 \
--policy.pretrained_backbone_weights=ResNet18_Weights.IMAGENET1K_V1 \
--policy.dim_model=512 \
--policy.n_heads=8 \
--policy.dim_feedforward=3200 \
--policy.n_encoder_layers=4 \
--policy.n_decoder_layers=1 \
--policy.use_vae=true \
--policy.latent_dim=32 \
--policy.n_vae_encoder_layers=4 \
--policy.dropout=0.1 \
--policy.kl_weight=10.0 \
--policy.optimizer_lr=0.0001 \
--policy.optimizer_weight_decay=1e-4 \
--policy.optimizer_lr_backbone=0.0001 \
--batch_size=32 \
--steps=100000 \
--save_freq=10000 \
--log_freq=200 \
--save_checkpoint=true \
--seed=1000 \
--num_workers=8 \
--output_dir=outputs/train/act-vacuum-pick \
--policy.pretrained_path=avatarrobotics/act-alpha-bot-right-resnet18-b256-20260312-2358:step-80000 \
--policy.push_to_hub=true \
--policy.private=true
============================================================
Model will be pushed to: avatarrobotics/act-alpha-bot-right-resnet18-b256-20260313-0619Model will be pushed to: avatarrobotics/act-alpha-bot-right-resnet18-b256-20260313-0619
[Avatar] Mixed precision: bf16[Avatar] Mixed precision: bf16
============================================================
============================================================
Training args:Training args:
mixed_precision=bf16 mixed_precision=bf16
video_backend=pyav video_backend=pyav
prefetch_factor=4 prefetch_factor=4
preload=True preload=True
compile=False compile=False
backbone=resnet18 backbone=resnet18
lerobot_train \
--dataset.repo_id=avatarrobotics/alpha-bot-right-2026-03-11-afternoon \
--dataset.video_backend=pyav \
--policy.repo_id=avatarrobotics/act-alpha-bot-right-resnet18-b256-20260313-0619 \
--policy.type=act \
--policy.chunk_size=100 \
--policy.n_action_steps=100 \
--policy.vision_backbone=resnet18 \
--policy.pretrained_backbone_weights=ResNet18_Weights.IMAGENET1K_V1 \
--policy.dim_model=512 \
--policy.n_heads=8 \
--policy.dim_feedforward=3200 \
--policy.n_encoder_layers=4 \
--policy.n_decoder_layers=1 \
--policy.use_vae=true \
--policy.latent_dim=32 \
--policy.n_vae_encoder_layers=4 \
--policy.dropout=0.1 \
--policy.kl_weight=10.0 \
--policy.optimizer_lr=0.0001 \
--policy.optimizer_weight_decay=1e-4 \
--policy.optimizer_lr_backbone=0.0001 \
--batch_size=32 \
--steps=100000 \
--save_freq=10000 \
--log_freq=200 \
--save_checkpoint=true \
--seed=1000 \
--num_workers=8 \
--output_dir=outputs/train/act-vacuum-pick \
--policy.pretrained_path=avatarrobotics/act-alpha-bot-right-resnet18-b256-20260312-2358:step-80000 \
--policy.push_to_hub=true \
--policy.private=truelerobot_train \
--dataset.repo_id=avatarrobotics/alpha-bot-right-2026-03-11-afternoon \
--dataset.video_backend=pyav \
--policy.repo_id=avatarrobotics/act-alpha-bot-right-resnet18-b256-20260313-0619 \
--policy.type=act \
--policy.chunk_size=100 \
--policy.n_action_steps=100 \
--policy.vision_backbone=resnet18 \
--policy.pretrained_backbone_weights=ResNet18_Weights.IMAGENET1K_V1 \
--policy.dim_model=512 \
--policy.n_heads=8 \
--policy.dim_feedforward=3200 \
--policy.n_encoder_layers=4 \
--policy.n_decoder_layers=1 \
--policy.use_vae=true \
--policy.latent_dim=32 \
--policy.n_vae_encoder_layers=4 \
--policy.dropout=0.1 \
--policy.kl_weight=10.0 \
--policy.optimizer_lr=0.0001 \
--policy.optimizer_weight_decay=1e-4 \
--policy.optimizer_lr_backbone=0.0001 \
--batch_size=32 \
--steps=100000 \
--save_freq=10000 \
--log_freq=200 \
--save_checkpoint=true \
--seed=1000 \
--num_workers=8 \
--output_dir=outputs/train/act-vacuum-pick \
--policy.pretrained_path=avatarrobotics/act-alpha-bot-right-resnet18-b256-20260312-2358:step-80000 \
--policy.push_to_hub=true \
--policy.private=true
============================================================
============================================================
Model will be pushed to: avatarrobotics/act-alpha-bot-right-resnet18-b256-20260313-0619
[Avatar] Mixed precision: bf16
============================================================
Training args:
mixed_precision=bf16
video_backend=pyav
prefetch_factor=4
preload=True
compile=False
backbone=resnet18
lerobot_train \
--dataset.repo_id=avatarrobotics/alpha-bot-right-2026-03-11-afternoon \
--dataset.video_backend=pyav \
--policy.repo_id=avatarrobotics/act-alpha-bot-right-resnet18-b256-20260313-0619 \
--policy.type=act \
--policy.chunk_size=100 \
--policy.n_action_steps=100 \
--policy.vision_backbone=resnet18 \
--policy.pretrained_backbone_weights=ResNet18_Weights.IMAGENET1K_V1 \
--policy.dim_model=512 \
--policy.n_heads=8 \
--policy.dim_feedforward=3200 \
--policy.n_encoder_layers=4 \
--policy.n_decoder_layers=1 \
--policy.use_vae=true \
--policy.latent_dim=32 \
--policy.n_vae_encoder_layers=4 \
--policy.dropout=0.1 \
--policy.kl_weight=10.0 \
--policy.optimizer_lr=0.0001 \
--policy.optimizer_weight_decay=1e-4 \
--policy.optimizer_lr_backbone=0.0001 \
--batch_size=32 \
--steps=100000 \
--save_freq=10000 \
--log_freq=200 \
--save_checkpoint=true \
--seed=1000 \
--num_workers=8 \
--output_dir=outputs/train/act-vacuum-pick \
--policy.pretrained_path=avatarrobotics/act-alpha-bot-right-resnet18-b256-20260312-2358:step-80000 \
--policy.push_to_hub=true \
--policy.private=true
============================================================
Model will be pushed to: avatarrobotics/act-alpha-bot-right-resnet18-b256-20260313-0619
[Avatar] Mixed precision: bf16
============================================================
Training args:
mixed_precision=bf16
video_backend=pyav
prefetch_factor=4
preload=True
compile=False
backbone=resnet18
lerobot_train \
--dataset.repo_id=avatarrobotics/alpha-bot-right-2026-03-11-afternoon \
--dataset.video_backend=pyav \
--policy.repo_id=avatarrobotics/act-alpha-bot-right-resnet18-b256-20260313-0619 \
--policy.type=act \
--policy.chunk_size=100 \
--policy.n_action_steps=100 \
--policy.vision_backbone=resnet18 \
--policy.pretrained_backbone_weights=ResNet18_Weights.IMAGENET1K_V1 \
--policy.dim_model=512 \
--policy.n_heads=8 \
--policy.dim_feedforward=3200 \
--policy.n_encoder_layers=4 \
--policy.n_decoder_layers=1 \
--policy.use_vae=true \
--policy.latent_dim=32 \
--policy.n_vae_encoder_layers=4 \
--policy.dropout=0.1 \
--policy.kl_weight=10.0 \
--policy.optimizer_lr=0.0001 \
--policy.optimizer_weight_decay=1e-4 \
--policy.optimizer_lr_backbone=0.0001 \
--batch_size=32 \
--steps=100000 \
--save_freq=10000 \
--log_freq=200 \
--save_checkpoint=true \
--seed=1000 \
--num_workers=8 \
--output_dir=outputs/train/act-vacuum-pick \
--policy.pretrained_path=avatarrobotics/act-alpha-bot-right-resnet18-b256-20260312-2358:step-80000 \
--policy.push_to_hub=true \
--policy.private=true
============================================================
[Avatar] Mixed precision: bf16
============================================================
Training args:
mixed_precision=bf16
video_backend=pyav
prefetch_factor=4
preload=True
compile=False
backbone=resnet18
lerobot_train \
--dataset.repo_id=avatarrobotics/alpha-bot-right-2026-03-11-afternoon \
--dataset.video_backend=pyav \
--policy.repo_id=avatarrobotics/act-alpha-bot-right-resnet18-b256-20260313-0619 \
--policy.type=act \
--policy.chunk_size=100 \
--policy.n_action_steps=100 \
--policy.vision_backbone=resnet18 \
--policy.pretrained_backbone_weights=ResNet18_Weights.IMAGENET1K_V1 \
--policy.dim_model=512 \
--policy.n_heads=8 \
--policy.dim_feedforward=3200 \
--policy.n_encoder_layers=4 \
--policy.n_decoder_layers=1 \
--policy.use_vae=true \
--policy.latent_dim=32 \
--policy.n_vae_encoder_layers=4 \
--policy.dropout=0.1 \
--policy.kl_weight=10.0 \
--policy.optimizer_lr=0.0001 \
--policy.optimizer_weight_decay=1e-4 \
--policy.optimizer_lr_backbone=0.0001 \
--batch_size=32 \
--steps=100000 \
--save_freq=10000 \
--log_freq=200 \
--save_checkpoint=true \
--seed=1000 \
--num_workers=8 \
--output_dir=outputs/train/act-vacuum-pick \
--policy.pretrained_path=avatarrobotics/act-alpha-bot-right-resnet18-b256-20260312-2358:step-80000 \
--policy.push_to_hub=true \
--policy.private=true
============================================================
[Avatar] cudnn.benchmark=True, tf32=True
[Avatar] cudnn.benchmark=True, tf32=True
[Avatar] cudnn.benchmark=True, tf32=True
[Avatar] cudnn.benchmark=True, tf32=True
[Avatar] cudnn.benchmark=True, tf32=True
[Avatar] cudnn.benchmark=True, tf32=True
[Avatar] cudnn.benchmark=True, tf32=True
[Avatar] cudnn.benchmark=True, tf32=True
[Avatar] Checkpoint push enabled → avatarrobotics/act-alpha-bot-right-resnet18-b256-20260313-0619 (with per-step tags)
[Avatar] Overriding prefetch_factor=4
[Avatar] Checkpoint push enabled → avatarrobotics/act-alpha-bot-right-resnet18-b256-20260313-0619 (with per-step tags)
[Avatar] Overriding prefetch_factor=4
[Avatar] Checkpoint push enabled → avatarrobotics/act-alpha-bot-right-resnet18-b256-20260313-0619 (with per-step tags)
[Avatar] Overriding prefetch_factor=4
[Avatar] Checkpoint push enabled → avatarrobotics/act-alpha-bot-right-resnet18-b256-20260313-0619 (with per-step tags)
[Avatar] Overriding prefetch_factor=4
[Avatar] Checkpoint push enabled → avatarrobotics/act-alpha-bot-right-resnet18-b256-20260313-0619 (with per-step tags)
[Avatar] Overriding prefetch_factor=4
[Avatar] Checkpoint push enabled → avatarrobotics/act-alpha-bot-right-resnet18-b256-20260313-0619 (with per-step tags)
[Avatar] Overriding prefetch_factor=4
[Avatar] Checkpoint push enabled → avatarrobotics/act-alpha-bot-right-resnet18-b256-20260313-0619 (with per-step tags)
[Avatar] Overriding prefetch_factor=4
[Avatar] Checkpoint push enabled → avatarrobotics/act-alpha-bot-right-resnet18-b256-20260313-0619 (with per-step tags)
[Avatar] Overriding prefetch_factor=4
WARNING:lerobot.configs.policies:Device 'None' is not available. Switching to 'cuda'.
WARNING:lerobot.configs.policies:Device 'None' is not available. Switching to 'cuda'.
WARNING:lerobot.configs.policies:Device 'None' is not available. Switching to 'cuda'.
WARNING:lerobot.configs.policies:Device 'None' is not available. Switching to 'cuda'.
WARNING:lerobot.configs.policies:Device 'None' is not available. Switching to 'cuda'.
WARNING:lerobot.configs.policies:Device 'None' is not available. Switching to 'cuda'.
WARNING:lerobot.configs.policies:Device 'None' is not available. Switching to 'cuda'.
WARNING:lerobot.configs.policies:Device 'None' is not available. Switching to 'cuda'.
INFO 2026-03-13 06:19:31 ot_train.py:195 {'batch_size': 32,
'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': 'avatarrobotics/alpha-bot-right-2026-03-11-afternoon',
'revision': None,
'root': None,
'streaming': False,
'use_imagenet_stats': True,
'video_backend': 'pyav'},
'env': None,
'eval': {'batch_size': 50, 'n_episodes': 50, 'use_async_envs': False},
'eval_freq': 20000,
'job_name': 'act',
'log_freq': 200,
'num_workers': 8,
'optimizer': {'betas': [0.9, 0.999],
'eps': 1e-08,
'grad_clip_norm': 10.0,
'lr': 0.0001,
'type': 'adamw',
'weight_decay': 0.0001},
'output_dir': 'outputs/train/act-vacuum-pick',
'peft': None,
'policy': {'chunk_size': 100,
'device': 'cuda',
'dim_feedforward': 3200,
'dim_model': 512,
'dropout': 0.1,
'feedforward_activation': 'relu',
'input_features': {},
'kl_weight': 10.0,
'latent_dim': 32,
'license': None,
'n_action_steps': 100,
'n_decoder_layers': 1,
'n_encoder_layers': 4,
'n_heads': 8,
'n_obs_steps': 1,
'n_vae_encoder_layers': 4,
'normalization_mapping': {'ACTION': <NormalizationMode.MEAN_STD: 'MEAN_STD'>,
'STATE': <NormalizationMode.MEAN_STD: 'MEAN_STD'>,
'VISUAL': <NormalizationMode.MEAN_STD: 'MEAN_STD'>},
'optimizer_lr': 0.0001,
'optimizer_lr_backbone': 0.0001,
'optimizer_weight_decay': 0.0001,
'output_features': {},
'pre_norm': False,
'pretrained_backbone_weights': 'ResNet18_Weights.IMAGENET1K_V1',
'pretrained_path': 'avatarrobotics/act-alpha-bot-right-resnet18-b256-20260312-2358:step-80000',
'private': True,
'push_to_hub': True,
'replace_final_stride_with_dilation': False,
'repo_id': 'avatarrobotics/act-alpha-bot-right-resnet18-b256-20260313-0619',
'tags': None,
'temporal_ensemble_coeff': None,
'type': 'act',
'use_amp': False,
'use_peft': False,
'use_vae': True,
'vision_backbone': 'resnet18'},
'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': 10000,
'scheduler': None,
'seed': 1000,
'steps': 100000,
'tolerance_s': 0.0001,
'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 2026-03-13 06:19:31 ot_train.py:203 Logs will be saved locally.
INFO 2026-03-13 06:19:31 ot_train.py:215 Creating dataset
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[Avatar] Set video tolerance_s=0.02
[Avatar] Camera transforms: arm=right, target=480x480
[Avatar] Using /dev/shm (RAM-backed, 938GB free)
[Avatar] Pre-decoding videos to JPEG: /dev/shm/avatar_frames
Extracting 938 videos with ffmpeg...
[100/938] 0 errors, 4s
[200/938] 0 errors, 7s
[300/938] 0 errors, 11s
[400/938] 0 errors, 15s
[500/938] 0 errors, 18s
[600/938] 0 errors, 22s
[700/938] 0 errors, 26s
[800/938] 0 errors, 31s
[900/938] 0 errors, 35s
[938/938] 0 errors, 36s
Done: 938/938 videos OK, 270,246 JPEGs, 18.8GB, 38s
[Avatar] Patched decode_video_frames (disk cache)
[Avatar] Preload complete (40s total)
[Avatar] Rank 0: signaled 7 other ranks
[Avatar] Installed corrupt-frame retry handler
NCCL version 2.26.2+cuda12.2
INFO 2026-03-13 06:21:29 ot_train.py:233 Creating policy
[Avatar] Set video tolerance_s=0.02
[Avatar] Camera transforms: arm=right, target=480x480
[Avatar] Rank 3: waiting for preload...
[Avatar] Rank 3: preload ready (0s)
[Avatar] Patched decode_video_frames (disk cache)
[Avatar] Installed corrupt-frame retry handler
[Avatar] Set video tolerance_s=0.02
[Avatar] Camera transforms: arm=right, target=480x480
[Avatar] Rank 5: waiting for preload...
[Avatar] Rank 5: preload ready (0s)
[Avatar] Patched decode_video_frames (disk cache)
[Avatar] Installed corrupt-frame retry handler
[Avatar] Set video tolerance_s=0.02
[Avatar] Camera transforms: arm=right, target=480x480
[Avatar] Rank 4: waiting for preload...
[Avatar] Rank 4: preload ready (0s)
[Avatar] Patched decode_video_frames (disk cache)
[Avatar] Installed corrupt-frame retry handler
[Avatar] Set video tolerance_s=0.02
[Avatar] Camera transforms: arm=right, target=480x480
[Avatar] Rank 2: waiting for preload...
[Avatar] Rank 2: preload ready (0s)
[Avatar] Patched decode_video_frames (disk cache)
[Avatar] Installed corrupt-frame retry handler
[Avatar] Set video tolerance_s=0.02
[Avatar] Camera transforms: arm=right, target=480x480
[Avatar] Rank 1: waiting for preload...
[Avatar] Rank 1: preload ready (0s)
[Avatar] Patched decode_video_frames (disk cache)
[Avatar] Installed corrupt-frame retry handler
Downloading: "https://download.pytorch.org/models/resnet18-f37072fd.pth" to /root/.cache/torch/hub/checkpoints/resnet18-f37072fd.pth
[Avatar] Set video tolerance_s=0.02
[Avatar] Camera transforms: arm=right, target=480x480
[Avatar] Rank 6: waiting for preload...
[Avatar] Rank 6: preload ready (0s)
[Avatar] Patched decode_video_frames (disk cache)
[Avatar] Installed corrupt-frame retry handler
[Avatar] Set video tolerance_s=0.02
[Avatar] Camera transforms: arm=right, target=480x480
[Avatar] Rank 7: waiting for preload...
[Avatar] Rank 7: preload ready (0s)
[Avatar] Patched decode_video_frames (disk cache)
[Avatar] Installed corrupt-frame retry handler
Downloading: "https://download.pytorch.org/models/resnet18-f37072fd.pth" to /root/.cache/torch/hub/checkpoints/resnet18-f37072fd.pth
Downloading: "https://download.pytorch.org/models/resnet18-f37072fd.pth" to /root/.cache/torch/hub/checkpoints/resnet18-f37072fd.pth
Downloading: "https://download.pytorch.org/models/resnet18-f37072fd.pth" to /root/.cache/torch/hub/checkpoints/resnet18-f37072fd.pth
0%| | 0.00/44.7M [00:00<?, ?B/s]Downloading: "https://download.pytorch.org/models/resnet18-f37072fd.pth" to /root/.cache/torch/hub/checkpoints/resnet18-f37072fd.pth
Downloading: "https://download.pytorch.org/models/resnet18-f37072fd.pth" to /root/.cache/torch/hub/checkpoints/resnet18-f37072fd.pth
1%| | 384k/44.7M [00:00<00:12, 3.70MB/s] 0%| | 0.00/44.7M [00:00<?, ?B/s] 0%| | 0.00/44.7M [00:00<?, ?B/s]Downloading: "https://download.pytorch.org/models/resnet18-f37072fd.pth" to /root/.cache/torch/hub/checkpoints/resnet18-f37072fd.pth
0%| | 0.00/44.7M [00:00<?, ?B/s] 0%| | 0.00/44.7M [00:00<?, ?B/s]Downloading: "https://download.pytorch.org/models/resnet18-f37072fd.pth" to /root/.cache/torch/hub/checkpoints/resnet18-f37072fd.pth
12%|█▏ | 5.25M/44.7M [00:00<00:01, 30.7MB/s] 0%| | 0.00/44.7M [00:00<?, ?B/s] 1%| | 384k/44.7M [00:00<00:12, 3.70MB/s] 1%| | 384k/44.7M [00:00<00:12, 3.70MB/s] 1%| | 384k/44.7M [00:00<00:12, 3.68MB/s] 0%| | 0.00/44.7M [00:00<?, ?B/s] 1%| | 384k/44.7M [00:00<00:12, 3.75MB/s] 89%|████████▉ | 39.8M/44.7M [00:00<00:00, 179MB/s] 0%| | 0.00/44.7M [00:00<?, ?B/s] 100%|██████████| 44.7M/44.7M [00:00<00:00, 148MB/s]
1%| | 384k/44.7M [00:00<00:12, 3.72MB/s] 11%|█ | 5.00M/44.7M [00:00<00:01, 29.3MB/s] 11%|█ | 4.88M/44.7M [00:00<00:01, 28.5MB/s] 11%|█ | 5.00M/44.7M [00:00<00:01, 29.2MB/s] 1%| | 384k/44.7M [00:00<00:12, 3.75MB/s] 11%|█ | 4.88M/44.7M [00:00<00:01, 28.7MB/s] 1%| | 256k/44.7M [00:00<00:21, 2.17MB/s] 61%|██████▏ | 27.4M/44.7M [00:00<00:00, 122MB/s] 39%|███▉ | 17.4M/44.7M [00:00<00:00, 71.9MB/s] 40%|███▉ | 17.8M/44.7M [00:00<00:00, 73.3MB/s] 4%|▎ | 1.62M/44.7M [00:00<00:05, 8.21MB/s] 4%|▍ | 2.00M/44.7M [00:00<00:03, 11.3MB/s] 100%|██████████| 44.7M/44.7M [00:00<00:00, 136MB/s]
49%|████▉ | 21.9M/44.7M [00:00<00:00, 86.7MB/s][rank0]: Traceback (most recent call last):
[rank0]: File "/tmp/train_on_hf.py", line 738, in <module>
[rank0]: main()
[rank0]: File "/tmp/train_on_hf.py", line 734, in main
[rank0]: lerobot_main()
[rank0]: File "/usr/local/lib/python3.11/dist-packages/lerobot/scripts/lerobot_train.py", line 532, in main
[rank0]: train()
[rank0]: File "/usr/local/lib/python3.11/dist-packages/lerobot/configs/parser.py", line 233, in wrapper_inner
[rank0]: response = fn(cfg, *args, **kwargs)
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "/usr/local/lib/python3.11/dist-packages/lerobot/scripts/lerobot_train.py", line 234, in train
[rank0]: policy = make_policy(
[rank0]: ^^^^^^^^^^^^
[rank0]: File "/usr/local/lib/python3.11/dist-packages/lerobot/policies/factory.py", line 492, in make_policy
[rank0]: policy = policy_cls.from_pretrained(**kwargs)
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "/usr/local/lib/python3.11/dist-packages/lerobot/policies/pretrained.py", line 115, in from_pretrained
[rank0]: model_file = hf_hub_download(
[rank0]: ^^^^^^^^^^^^^^^^
[rank0]: File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
[rank0]: validate_repo_id(arg_value)
[rank0]: File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_validators.py", line 160, in validate_repo_id
[rank0]: raise HFValidationError(
[rank0]: huggingface_hub.errors.HFValidationError: Repo id must use alphanumeric chars or '-', '_', '.', '--' and '..' are forbidden, '-' and '.' cannot start or end the name, max length is 96: 'avatarrobotics/act-alpha-bot-right-resnet18-b256-20260312-2358:step-80000'.
4%|▍ | 1.88M/44.7M [00:00<00:04, 10.0MB/s] 100%|██████████| 44.7M/44.7M [00:00<00:00, 116MB/s]
100%|██████████| 44.7M/44.7M [00:00<00:00, 115MB/s]
27%|██▋ | 12.1M/44.7M [00:00<00:00, 51.5MB/s] 18%|█▊ | 8.00M/44.7M [00:00<00:01, 34.4MB/s] 100%|██████████| 44.7M/44.7M [00:00<00:00, 117MB/s]
84%|████████▍ | 37.6M/44.7M [00:00<00:00, 133MB/s] 38%|███▊ | 17.0M/44.7M [00:00<00:00, 67.6MB/s] 100%|██████████| 44.7M/44.7M [00:00<00:00, 107MB/s]
68%|██████▊ | 30.5M/44.7M [00:00<00:00, 113MB/s] [rank3]: Traceback (most recent call last):
[rank3]: File "/tmp/train_on_hf.py", line 738, in <module>
[rank3]: main()
[rank3]: File "/tmp/train_on_hf.py", line 734, in main
[rank3]: lerobot_main()
[rank3]: File "/usr/local/lib/python3.11/dist-packages/lerobot/scripts/lerobot_train.py", line 532, in main
[rank3]: train()
[rank3]: File "/usr/local/lib/python3.11/dist-packages/lerobot/configs/parser.py", line 233, in wrapper_inner
[rank3]: response = fn(cfg, *args, **kwargs)
[rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^
[rank3]: File "/usr/local/lib/python3.11/dist-packages/lerobot/scripts/lerobot_train.py", line 234, in train
[rank3]: policy = make_policy(
[rank3]: ^^^^^^^^^^^^
[rank3]: File "/usr/local/lib/python3.11/dist-packages/lerobot/policies/factory.py", line 492, in make_policy
[rank3]: policy = policy_cls.from_pretrained(**kwargs)
[rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank3]: File "/usr/local/lib/python3.11/dist-packages/lerobot/policies/pretrained.py", line 115, in from_pretrained
[rank3]: model_file = hf_hub_download(
[rank3]: ^^^^^^^^^^^^^^^^
[rank3]: File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
[rank3]: validate_repo_id(arg_value)
[rank3]: File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_validators.py", line 160, in validate_repo_id
[rank3]: raise HFValidationError(
[rank3]: huggingface_hub.errors.HFValidationError: Repo id must use alphanumeric chars or '-', '_', '.', '--' and '..' are forbidden, '-' and '.' cannot start or end the name, max length is 96: 'avatarrobotics/act-alpha-bot-right-resnet18-b256-20260312-2358:step-80000'.
100%|██████████| 44.7M/44.7M [00:00<00:00, 116MB/s]
100%|██████████| 44.7M/44.7M [00:00<00:00, 103MB/s]
[rank4]: Traceback (most recent call last):
[rank4]: File "/tmp/train_on_hf.py", line 738, in <module>
[rank4]: main()
[rank4]: File "/tmp/train_on_hf.py", line 734, in main
[rank4]: lerobot_main()
[rank4]: File "/usr/local/lib/python3.11/dist-packages/lerobot/scripts/lerobot_train.py", line 532, in main
[rank4]: train()
[rank4]: File "/usr/local/lib/python3.11/dist-packages/lerobot/configs/parser.py", line 233, in wrapper_inner
[rank4]: response = fn(cfg, *args, **kwargs)
[rank4]: ^^^^^^^^^^^^^^^^^^^^^^^^
[rank4]: File "/usr/local/lib/python3.11/dist-packages/lerobot/scripts/lerobot_train.py", line 234, in train
[rank4]: policy = make_policy(
[rank4]: ^^^^^^^^^^^^
[rank4]: File "/usr/local/lib/python3.11/dist-packages/lerobot/policies/factory.py", line 492, in make_policy
[rank4]: policy = policy_cls.from_pretrained(**kwargs)
[rank4]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank4]: File "/usr/local/lib/python3.11/dist-packages/lerobot/policies/pretrained.py", line 115, in from_pretrained
[rank4]: model_file = hf_hub_download(
[rank4]: ^^^^^^^^^^^^^^^^
[rank4]: File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
[rank4]: validate_repo_id(arg_value)
[rank4]: File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_validators.py", line 160, in validate_repo_id
[rank4]: raise HFValidationError(
[rank4]: huggingface_hub.errors.HFValidationError: Repo id must use alphanumeric chars or '-', '_', '.', '--' and '..' are forbidden, '-' and '.' cannot start or end the name, max length is 96: 'avatarrobotics/act-alpha-bot-right-resnet18-b256-20260312-2358:step-80000'.
[rank5]: Traceback (most recent call last):
[rank5]: File "/tmp/train_on_hf.py", line 738, in <module>
[rank5]: main()
[rank5]: File "/tmp/train_on_hf.py", line 734, in main
[rank5]: lerobot_main()
[rank5]: File "/usr/local/lib/python3.11/dist-packages/lerobot/scripts/lerobot_train.py", line 532, in main
[rank5]: train()
[rank5]: File "/usr/local/lib/python3.11/dist-packages/lerobot/configs/parser.py", line 233, in wrapper_inner
[rank5]: response = fn(cfg, *args, **kwargs)
[rank5]: ^^^^^^^^^^^^^^^^^^^^^^^^
[rank5]: File "/usr/local/lib/python3.11/dist-packages/lerobot/scripts/lerobot_train.py", line 234, in train
[rank5]: policy = make_policy(
[rank5]: ^^^^^^^^^^^^
[rank5]: File "/usr/local/lib/python3.11/dist-packages/lerobot/policies/factory.py", line 492, in make_policy
[rank5]: policy = policy_cls.from_pretrained(**kwargs)
[rank5]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank5]: File "/usr/local/lib/python3.11/dist-packages/lerobot/policies/pretrained.py", line 115, in from_pretrained
[rank5]: model_file = hf_hub_download(
[rank5]: ^^^^^^^^^^^^^^^^
[rank5]: File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
[rank5]: validate_repo_id(arg_value)
[rank5]: File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_validators.py", line 160, in validate_repo_id
[rank5]: raise HFValidationError(
[rank5]: huggingface_hub.errors.HFValidationError: Repo id must use alphanumeric chars or '-', '_', '.', '--' and '..' are forbidden, '-' and '.' cannot start or end the name, max length is 96: 'avatarrobotics/act-alpha-bot-right-resnet18-b256-20260312-2358:step-80000'.
[rank2]: Traceback (most recent call last):
[rank2]: File "/tmp/train_on_hf.py", line 738, in <module>
[rank2]: main()
[rank2]: File "/tmp/train_on_hf.py", line 734, in main
[rank2]: lerobot_main()
[rank2]: File "/usr/local/lib/python3.11/dist-packages/lerobot/scripts/lerobot_train.py", line 532, in main
[rank2]: train()
[rank2]: File "/usr/local/lib/python3.11/dist-packages/lerobot/configs/parser.py", line 233, in wrapper_inner
[rank2]: response = fn(cfg, *args, **kwargs)
[rank2]: ^^^^^^^^^^^^^^^^^^^^^^^^
[rank2]: File "/usr/local/lib/python3.11/dist-packages/lerobot/scripts/lerobot_train.py", line 234, in train
[rank2]: policy = make_policy(
[rank2]: ^^^^^^^^^^^^
[rank2]: File "/usr/local/lib/python3.11/dist-packages/lerobot/policies/factory.py", line 492, in make_policy
[rank2]: policy = policy_cls.from_pretrained(**kwargs)
[rank2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank2]: File "/usr/local/lib/python3.11/dist-packages/lerobot/policies/pretrained.py", line 115, in from_pretrained
[rank2]: model_file = hf_hub_download(
[rank2]: ^^^^^^^^^^^^^^^^
[rank2]: File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
[rank2]: validate_repo_id(arg_value)
[rank2]: File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_validators.py", line 160, in validate_repo_id
[rank2]: raise HFValidationError(
[rank2]: huggingface_hub.errors.HFValidationError: Repo id must use alphanumeric chars or '-', '_', '.', '--' and '..' are forbidden, '-' and '.' cannot start or end the name, max length is 96: 'avatarrobotics/act-alpha-bot-right-resnet18-b256-20260312-2358:step-80000'.
[rank0]:[W313 06:21:30.094734046 ProcessGroupNCCL.cpp:1479] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
[rank1]: Traceback (most recent call last):
[rank1]: File "/tmp/train_on_hf.py", line 738, in <module>
[rank1]: main()
[rank1]: File "/tmp/train_on_hf.py", line 734, in main
[rank1]: lerobot_main()
[rank1]: File "/usr/local/lib/python3.11/dist-packages/lerobot/scripts/lerobot_train.py", line 532, in main
[rank1]: train()
[rank1]: File "/usr/local/lib/python3.11/dist-packages/lerobot/configs/parser.py", line 233, in wrapper_inner
[rank1]: response = fn(cfg, *args, **kwargs)
[rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^
[rank1]: File "/usr/local/lib/python3.11/dist-packages/lerobot/scripts/lerobot_train.py", line 234, in train
[rank1]: policy = make_policy(
[rank1]: ^^^^^^^^^^^^
[rank1]: File "/usr/local/lib/python3.11/dist-packages/lerobot/policies/factory.py", line 492, in make_policy
[rank1]: policy = policy_cls.from_pretrained(**kwargs)
[rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank1]: File "/usr/local/lib/python3.11/dist-packages/lerobot/policies/pretrained.py", line 115, in from_pretrained
[rank1]: model_file = hf_hub_download(
[rank1]: ^^^^^^^^^^^^^^^^
[rank1]: File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
[rank1]: validate_repo_id(arg_value)
[rank1]: File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_validators.py", line 160, in validate_repo_id
[rank1]: raise HFValidationError(
[rank1]: huggingface_hub.errors.HFValidationError: Repo id must use alphanumeric chars or '-', '_', '.', '--' and '..' are forbidden, '-' and '.' cannot start or end the name, max length is 96: 'avatarrobotics/act-alpha-bot-right-resnet18-b256-20260312-2358:step-80000'.
[rank7]: Traceback (most recent call last):
[rank7]: File "/tmp/train_on_hf.py", line 738, in <module>
[rank7]: main()
[rank7]: File "/tmp/train_on_hf.py", line 734, in main
[rank7]: lerobot_main()
[rank7]: File "/usr/local/lib/python3.11/dist-packages/lerobot/scripts/lerobot_train.py", line 532, in main
[rank7]: train()
[rank7]: File "/usr/local/lib/python3.11/dist-packages/lerobot/configs/parser.py", line 233, in wrapper_inner
[rank7]: response = fn(cfg, *args, **kwargs)
[rank7]: ^^^^^^^^^^^^^^^^^^^^^^^^
[rank7]: File "/usr/local/lib/python3.11/dist-packages/lerobot/scripts/lerobot_train.py", line 234, in train
[rank7]: policy = make_policy(
[rank7]: ^^^^^^^^^^^^
[rank7]: File "/usr/local/lib/python3.11/dist-packages/lerobot/policies/factory.py", line 492, in make_policy
[rank7]: policy = policy_cls.from_pretrained(**kwargs)
[rank7]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank7]: File "/usr/local/lib/python3.11/dist-packages/lerobot/policies/pretrained.py", line 115, in from_pretrained
[rank7]: model_file = hf_hub_download(
[rank7]: ^^^^^^^^^^^^^^^^
[rank7]: File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
[rank7]: validate_repo_id(arg_value)
[rank7]: File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_validators.py", line 160, in validate_repo_id
[rank7]: raise HFValidationError(
[rank7]: huggingface_hub.errors.HFValidationError: Repo id must use alphanumeric chars or '-', '_', '.', '--' and '..' are forbidden, '-' and '.' cannot start or end the name, max length is 96: 'avatarrobotics/act-alpha-bot-right-resnet18-b256-20260312-2358:step-80000'.
[rank6]: Traceback (most recent call last):
[rank6]: File "/tmp/train_on_hf.py", line 738, in <module>
[rank6]: main()
[rank6]: File "/tmp/train_on_hf.py", line 734, in main
[rank6]: lerobot_main()
[rank6]: File "/usr/local/lib/python3.11/dist-packages/lerobot/scripts/lerobot_train.py", line 532, in main
[rank6]: train()
[rank6]: File "/usr/local/lib/python3.11/dist-packages/lerobot/configs/parser.py", line 233, in wrapper_inner
[rank6]: response = fn(cfg, *args, **kwargs)
[rank6]: ^^^^^^^^^^^^^^^^^^^^^^^^
[rank6]: File "/usr/local/lib/python3.11/dist-packages/lerobot/scripts/lerobot_train.py", line 234, in train
[rank6]: policy = make_policy(
[rank6]: ^^^^^^^^^^^^
[rank6]: File "/usr/local/lib/python3.11/dist-packages/lerobot/policies/factory.py", line 492, in make_policy
[rank6]: policy = policy_cls.from_pretrained(**kwargs)
[rank6]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank6]: File "/usr/local/lib/python3.11/dist-packages/lerobot/policies/pretrained.py", line 115, in from_pretrained
[rank6]: model_file = hf_hub_download(
[rank6]: ^^^^^^^^^^^^^^^^
[rank6]: File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
[rank6]: validate_repo_id(arg_value)
[rank6]: File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_validators.py", line 160, in validate_repo_id
[rank6]: raise HFValidationError(
[rank6]: huggingface_hub.errors.HFValidationError: Repo id must use alphanumeric chars or '-', '_', '.', '--' and '..' are forbidden, '-' and '.' cannot start or end the name, max length is 96: 'avatarrobotics/act-alpha-bot-right-resnet18-b256-20260312-2358:step-80000'.
W0313 06:21:31.623000 2075 torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2144 closing signal SIGTERM
W0313 06:21:31.624000 2075 torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2145 closing signal SIGTERM
W0313 06:21:31.624000 2075 torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2146 closing signal SIGTERM
W0313 06:21:31.624000 2075 torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2147 closing signal SIGTERM
W0313 06:21:31.624000 2075 torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2148 closing signal SIGTERM
W0313 06:21:31.624000 2075 torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2149 closing signal SIGTERM
W0313 06:21:31.624000 2075 torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2150 closing signal SIGTERM
E0313 06:21:32.489000 2075 torch/distributed/elastic/multiprocessing/api.py:874] failed (exitcode: 1) local_rank: 0 (pid: 2143) of binary: /usr/bin/python
Traceback (most recent call last):
File "/usr/local/bin/accelerate", line 8, in <module>
sys.exit(main())
^^^^^^
File "/usr/local/lib/python3.11/dist-packages/accelerate/commands/accelerate_cli.py", line 50, in main
args.func(args)
File "/usr/local/lib/python3.11/dist-packages/accelerate/commands/launch.py", line 1396, in launch_command
multi_gpu_launcher(args)
File "/usr/local/lib/python3.11/dist-packages/accelerate/commands/launch.py", line 1023, in multi_gpu_launcher
distrib_run.run(args)
File "/usr/local/lib/python3.11/dist-packages/torch/distributed/run.py", line 883, in run
elastic_launch(
File "/usr/local/lib/python3.11/dist-packages/torch/distributed/launcher/api.py", line 139, in __call__
return launch_agent(self._config, self._entrypoint, list(args))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.11/dist-packages/torch/distributed/launcher/api.py", line 270, in launch_agent
raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError:
============================================================
/tmp/train_on_hf.py FAILED
------------------------------------------------------------
Failures:
<NO_OTHER_FAILURES>
------------------------------------------------------------
Root Cause (first observed failure):
[0]:
time : 2026-03-13_06:21:31
host : 8e147e544286
rank : 0 (local_rank: 0)
exitcode : 1 (pid: 2143)
error_file: <N/A>
traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
============================================================
>>> Training finished with exit code 1
Ended: 2026-03-13 06:21:32 UTC
>>> Saving training log to HuggingFace...