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README.md

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+
+---
+tags:
+- phosphobot
+- gr00t
+task_categories:
+- robotics                                               
+---
+
+# gr00t Model - phospho Training Pipeline
+
+
+## Error Traceback
+We faced an issue while training your model.
+
+```
+Traceback (most recent call last):
+  File "/root/src/helper.py", line 229, in predict
+    trainer.train(timeout_seconds=timeout_seconds)
+  File "/root/phosphobot/am/gr00t.py", line 1067, 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 967, in run_gr00t_training
+    raise RuntimeError(error_msg)
+RuntimeError: Training process failed with exit code 1:
+return forward_call(*args, **kwargs)
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+File "/opt/conda/lib/python3.11/site-packages/torch/nn/modules/normalization.py", line 217, in forward
+return F.layer_norm(
+^^^^^^^^^^^^^
+File "/opt/conda/lib/python3.11/site-packages/torch/nn/functional.py", line 2900, in layer_norm
+return torch.layer_norm(
+^^^^^^^^^^^^^^^^^
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 MiB. GPU 0 has a total capacity of 79.25 GiB of which 24.75 MiB is free. Process 548102 has 79.22 GiB memory in use. Of the allocated memory 78.46 GiB is allocated by PyTorch, and 266.39 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+0%|          | 0/2340 [00:06<?, ?it/s]
+
+
+The current batch size is too large for the GPU.
+Please consider lowering it to fit in the memory.
+We train on a 80GB A100 GPU.
+```
+
+
+## Training parameters:
+
+- **Dataset**: [PAphospho/tictactoe-A1-orange](https://huggingface.co/datasets/PAphospho/tictactoe-A1-orange)
+- **Wandb run URL**: None
+- **Epochs**: 15
+- **Batch size**: 128
+- **Training steps**: None
+
+📖 **Get Started**: [docs.phospho.ai](https://docs.phospho.ai?utm_source=huggingface_readme)
+
+🤖 **Get your robot**: [robots.phospho.ai](https://robots.phospho.ai?utm_source=huggingface_readme)