cmercier-gr00t-test_one_pen_2_sept-dd6t4

gr00t model - 🧪 phosphobot training pipeline

• Dataset: cmercier/test_one_pen_2_sept
• Wandb run id: None

Error Traceback

We faced an issue while training your model.

Traceback (most recent call last):
  File "/root/src/helper.py", line 139, in train_gr00t_on_modal
    trainer.train(
  File "/root/phosphobot/am/gr00t.py", line 1215, in train
    asyncio.run(
  File "/opt/conda/lib/python3.11/asyncio/runners.py", line 190, in run
    return runner.run(main)
           ^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.11/asyncio/runners.py", line 118, in run
    return self._loop.run_until_complete(task)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.11/asyncio/base_events.py", line 654, in run_until_complete
    return future.result()
           ^^^^^^^^^^^^^^^
  File "/root/phosphobot/am/gr00t.py", line 1425, in _call_training_script
    raise RuntimeError(error_msg)
RuntimeError: Training process failed with exit code 2:
`use_fast` is set to `True` but the image processor class does not have a fast version.  Falling back to the slow version.
╭─ Unrecognized options ───────────────────────────────╮
│ Unrecognized options: --epochs --path-to-gr00t-repo  │
│ ──────────────────────────────────────────────────── │
│ Arguments similar to --epochs:                       │
│     --num-epochs INT                                 │
│         Number of epochs to train for. (default: 10) │
│ ──────────────────────────────────────────────────── │
│ For full helptext, run gr00t_finetune.py --help      │
╰──────────────────────────────────────────────────────╯

Training parameters

{
  "validation_dataset_name": null,
  "batch_size": 107,
  "num_epochs": 10,
  "save_steps": 1000,
  "learning_rate": 0.0001,
  "data_dir": "/tmp/outputs/data",
  "validation_data_dir": "/tmp/outputs/validation_data",
  "output_dir": "/tmp/outputs/train",
  "train_test_split": 1.0,
  "epochs": 10,
  "path_to_gr00t_repo": "."
}

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