gr00t-test_one_pen_2_sept-sc5wsvetx1

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:
2025-09-02 17:57:22.182764: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2025-09-02 17:57:22.190674: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2025-09-02 17:57:23.541518: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
`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: --use-fast                │
│ ─────────────────────────────────────────────── │
│ 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",
  "use_fast": "False"
}

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