training_20260313_153612_exit1.log

=== Avatar Training (fire-and-forget) ===
Script: train_on_hf.py
Started: 2026-03-13 15:36:05 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-b256-20260313-0632:step-100000'.
  Downloading avatarrobotics/act-alpha-bot-right-resnet18-b256-20260313-0632:step-100000...
  GPUs: 8x NVIDIA H100 80GB HBM3
>>> [4/4] Launching accelerate with 8 GPUs...
  Script: train_on_hf.py
  Train args: python3 /tmp/train_on_hf.py --dataset alpha_bot_right_afternoon --steps 100000 --batch-size 32 --lr 1e-3 --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-b256-20260313-0632:step-100000 

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`.
usage: train_on_hf.py [-h]
                      [--dataset {vacuum_pick,vacuum_pick_right,fish_box_left,fish_box_left_joint,simple_alpha_backforth,fixed_motion_simple,alpha_bot_right_afternoon}]
                      [--steps STEPS] [--batch-size BATCH_SIZE]
                      [--save-freq SAVE_FREQ] [--log-freq LOG_FREQ]
                      [--seed SEED] [--num-workers NUM_WORKERS]
                      [--output-dir OUTPUT_DIR] [--dataset-root DATASET_ROOT]
                      [--push-to-hub] [--no-push-to-hub] [--wandb]
                      [--image-augmentation] [--lr LR]
                      [--mixed-precision {no,fp16,bf16}]
                      [--video-backend {pyav,torchcodec}]
                      [--prefetch-factor PREFETCH_FACTOR] [--preload]
                      [--compile] [--chunk-size CHUNK_SIZE]
                      [--backbone {resnet18,resnet50}]
                      [--pretrained-path PRETRAINED_PATH]
usage: train_on_hf.py [-h]
                      [--dataset {vacuum_pick,vacuum_pick_right,fish_box_left,fish_box_left_joint,simple_alpha_backforth,fixed_motion_simple,alpha_bot_right_afternoon}]
                      [--steps STEPS] [--batch-size BATCH_SIZE]
                      [--save-freq SAVE_FREQ] [--log-freq LOG_FREQ]
                      [--seed SEED] [--num-workers NUM_WORKERS]
                      [--output-dir OUTPUT_DIR] [--dataset-root DATASET_ROOT]
                      [--push-to-hub] [--no-push-to-hub] [--wandb]
                      [--image-augmentation] [--lr LR]
                      [--mixed-precision {no,fp16,bf16}]
                      [--video-backend {pyav,torchcodec}]
                      [--prefetch-factor PREFETCH_FACTOR] [--preload]
                      [--compile] [--chunk-size CHUNK_SIZE]
                      [--backbone {resnet18,resnet50}]
                      [--pretrained-path PRETRAINED_PATH]
train_on_hf.py: error: unrecognized arguments: python3 /tmp/train_on_hf.py
train_on_hf.py: error: unrecognized arguments: python3 /tmp/train_on_hf.py
usage: train_on_hf.py [-h]
                      [--dataset {vacuum_pick,vacuum_pick_right,fish_box_left,fish_box_left_joint,simple_alpha_backforth,fixed_motion_simple,alpha_bot_right_afternoon}]
                      [--steps STEPS] [--batch-size BATCH_SIZE]
                      [--save-freq SAVE_FREQ] [--log-freq LOG_FREQ]
                      [--seed SEED] [--num-workers NUM_WORKERS]
                      [--output-dir OUTPUT_DIR] [--dataset-root DATASET_ROOT]
                      [--push-to-hub] [--no-push-to-hub] [--wandb]
                      [--image-augmentation] [--lr LR]
                      [--mixed-precision {no,fp16,bf16}]
                      [--video-backend {pyav,torchcodec}]
                      [--prefetch-factor PREFETCH_FACTOR] [--preload]
                      [--compile] [--chunk-size CHUNK_SIZE]
                      [--backbone {resnet18,resnet50}]
                      [--pretrained-path PRETRAINED_PATH]
train_on_hf.py: error: unrecognized arguments: python3 /tmp/train_on_hf.py
usage: train_on_hf.py [-h]
                      [--dataset {vacuum_pick,vacuum_pick_right,fish_box_left,fish_box_left_joint,simple_alpha_backforth,fixed_motion_simple,alpha_bot_right_afternoon}]
                      [--steps STEPS] [--batch-size BATCH_SIZE]
                      [--save-freq SAVE_FREQ] [--log-freq LOG_FREQ]
                      [--seed SEED] [--num-workers NUM_WORKERS]
                      [--output-dir OUTPUT_DIR] [--dataset-root DATASET_ROOT]
                      [--push-to-hub] [--no-push-to-hub] [--wandb]
                      [--image-augmentation] [--lr LR]
                      [--mixed-precision {no,fp16,bf16}]
                      [--video-backend {pyav,torchcodec}]
                      [--prefetch-factor PREFETCH_FACTOR] [--preload]
                      [--compile] [--chunk-size CHUNK_SIZE]
                      [--backbone {resnet18,resnet50}]
                      [--pretrained-path PRETRAINED_PATH]
train_on_hf.py: error: unrecognized arguments: python3 /tmp/train_on_hf.py
usage: train_on_hf.py [-h]
                      [--dataset {vacuum_pick,vacuum_pick_right,fish_box_left,fish_box_left_joint,simple_alpha_backforth,fixed_motion_simple,alpha_bot_right_afternoon}]
                      [--steps STEPS] [--batch-size BATCH_SIZE]
                      [--save-freq SAVE_FREQ] [--log-freq LOG_FREQ]
                      [--seed SEED] [--num-workers NUM_WORKERS]
                      [--output-dir OUTPUT_DIR] [--dataset-root DATASET_ROOT]
                      [--push-to-hub] [--no-push-to-hub] [--wandb]
                      [--image-augmentation] [--lr LR]
                      [--mixed-precision {no,fp16,bf16}]
                      [--video-backend {pyav,torchcodec}]
                      [--prefetch-factor PREFETCH_FACTOR] [--preload]
                      [--compile] [--chunk-size CHUNK_SIZE]
                      [--backbone {resnet18,resnet50}]
                      [--pretrained-path PRETRAINED_PATH]
usage: train_on_hf.py [-h]
                      [--dataset {vacuum_pick,vacuum_pick_right,fish_box_left,fish_box_left_joint,simple_alpha_backforth,fixed_motion_simple,alpha_bot_right_afternoon}]
                      [--steps STEPS] [--batch-size BATCH_SIZE]
                      [--save-freq SAVE_FREQ] [--log-freq LOG_FREQ]
                      [--seed SEED] [--num-workers NUM_WORKERS]
                      [--output-dir OUTPUT_DIR] [--dataset-root DATASET_ROOT]
                      [--push-to-hub] [--no-push-to-hub] [--wandb]
                      [--image-augmentation] [--lr LR]
                      [--mixed-precision {no,fp16,bf16}]
                      [--video-backend {pyav,torchcodec}]
                      [--prefetch-factor PREFETCH_FACTOR] [--preload]
                      [--compile] [--chunk-size CHUNK_SIZE]
                      [--backbone {resnet18,resnet50}]
                      [--pretrained-path PRETRAINED_PATH]
train_on_hf.py: error: unrecognized arguments: python3 /tmp/train_on_hf.py
train_on_hf.py: error: unrecognized arguments: python3 /tmp/train_on_hf.py
usage: train_on_hf.py [-h]
                      [--dataset {vacuum_pick,vacuum_pick_right,fish_box_left,fish_box_left_joint,simple_alpha_backforth,fixed_motion_simple,alpha_bot_right_afternoon}]
                      [--steps STEPS] [--batch-size BATCH_SIZE]
                      [--save-freq SAVE_FREQ] [--log-freq LOG_FREQ]
                      [--seed SEED] [--num-workers NUM_WORKERS]
                      [--output-dir OUTPUT_DIR] [--dataset-root DATASET_ROOT]
                      [--push-to-hub] [--no-push-to-hub] [--wandb]
                      [--image-augmentation] [--lr LR]
                      [--mixed-precision {no,fp16,bf16}]
                      [--video-backend {pyav,torchcodec}]
                      [--prefetch-factor PREFETCH_FACTOR] [--preload]
                      [--compile] [--chunk-size CHUNK_SIZE]
                      [--backbone {resnet18,resnet50}]
                      [--pretrained-path PRETRAINED_PATH]
train_on_hf.py: error: unrecognized arguments: python3 /tmp/train_on_hf.py
usage: train_on_hf.py [-h]
                      [--dataset {vacuum_pick,vacuum_pick_right,fish_box_left,fish_box_left_joint,simple_alpha_backforth,fixed_motion_simple,alpha_bot_right_afternoon}]
                      [--steps STEPS] [--batch-size BATCH_SIZE]
                      [--save-freq SAVE_FREQ] [--log-freq LOG_FREQ]
                      [--seed SEED] [--num-workers NUM_WORKERS]
                      [--output-dir OUTPUT_DIR] [--dataset-root DATASET_ROOT]
                      [--push-to-hub] [--no-push-to-hub] [--wandb]
                      [--image-augmentation] [--lr LR]
                      [--mixed-precision {no,fp16,bf16}]
                      [--video-backend {pyav,torchcodec}]
                      [--prefetch-factor PREFETCH_FACTOR] [--preload]
                      [--compile] [--chunk-size CHUNK_SIZE]
                      [--backbone {resnet18,resnet50}]
                      [--pretrained-path PRETRAINED_PATH]
train_on_hf.py: error: unrecognized arguments: python3 /tmp/train_on_hf.py
E0313 15:36:12.061000 2075 torch/distributed/elastic/multiprocessing/api.py:874] failed (exitcode: 2) 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:
[1]:
  time      : 2026-03-13_15:36:12
  host      : b9d6a316a396
  rank      : 1 (local_rank: 1)
  exitcode  : 2 (pid: 2144)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
[2]:
  time      : 2026-03-13_15:36:12
  host      : b9d6a316a396
  rank      : 2 (local_rank: 2)
  exitcode  : 2 (pid: 2145)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
[3]:
  time      : 2026-03-13_15:36:12
  host      : b9d6a316a396
  rank      : 3 (local_rank: 3)
  exitcode  : 2 (pid: 2146)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
[4]:
  time      : 2026-03-13_15:36:12
  host      : b9d6a316a396
  rank      : 4 (local_rank: 4)
  exitcode  : 2 (pid: 2147)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
[5]:
  time      : 2026-03-13_15:36:12
  host      : b9d6a316a396
  rank      : 5 (local_rank: 5)
  exitcode  : 2 (pid: 2148)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
[6]:
  time      : 2026-03-13_15:36:12
  host      : b9d6a316a396
  rank      : 6 (local_rank: 6)
  exitcode  : 2 (pid: 2149)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
[7]:
  time      : 2026-03-13_15:36:12
  host      : b9d6a316a396
  rank      : 7 (local_rank: 7)
  exitcode  : 2 (pid: 2150)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
------------------------------------------------------------
Root Cause (first observed failure):
[0]:
  time      : 2026-03-13_15:36:12
  host      : b9d6a316a396
  rank      : 0 (local_rank: 0)
  exitcode  : 2 (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 15:36:12 UTC
>>> Saving training log to HuggingFace...