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chore(docs): update readme + gr00t libero results (#3941)
* chore(docs): update readme + gr00t libero results * chore(docs): update template and in-tree policy steps
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@@ -160,13 +160,13 @@ This will follow the recipe found [here](https://github.com/NVIDIA/Isaac-GR00T/b
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Preliminary LeRobot integration results (GR00T-LeRobot, `eval.n_episodes >= 50` per suite):
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| Suite | Success rate |
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| ---------------- | -----------: |
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| LIBERO Spatial | 94% |
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| LIBERO Object | 98% |
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| LIBERO Goal | 93% |
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| LIBERO 10 (Long) | 90% |
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| **Average** | **93.75%** |
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| Suite | Success rate | Checkpoint |
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| ---------------- | -----------: | ------------------------------------------------------------------------------------------------------------- |
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| LIBERO Spatial | 91% | [nvidia/gr00t17-lerobot-libero_spatial-640](https://huggingface.co/nvidia/gr00t17-lerobot-libero_spatial-640) |
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| LIBERO Object | 81% | [nvidia/gr00t17-lerobot-libero_object-640](https://huggingface.co/nvidia/gr00t17-lerobot-libero_object-640) |
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| LIBERO Goal | 97% | [nvidia/gr00t17-lerobot-libero_goal-640](https://huggingface.co/nvidia/gr00t17-lerobot-libero_goal-640) |
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| LIBERO 10 (Long) | 84% | [nvidia/gr00t17-lerobot-libero_10-640](https://huggingface.co/nvidia/gr00t17-lerobot-libero_10-640) |
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| **Average** | **88.25%** | |
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```bash
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export MODEL_ID=your_trained_model_on_huggingface
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