Instructions to use IDEAS-Lab-Northwestern/sim2real_mug_pi05 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use IDEAS-Lab-Northwestern/sim2real_mug_pi05 with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Add model card for sim2real mug pi05 checkpoint
Browse files
README.md
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---
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library_name: openpi
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tags:
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- openpi
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- pi0.5
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- lora
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- lerobot
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- robotics
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- sim2real
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- mug-into-bowl
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---
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# OpenPI pi0.5 LoRA for sim2real mug into bowl
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This repository stores the final OpenPI checkpoint for the `pi05_clutter_libero_lora` SFT run trained on `IDEAS-Lab-Northwestern/sim2real-mug-into-bowl`.
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## Checkpoint
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The uploaded checkpoint preserves the OpenPI checkpoint directory layout:
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```text
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checkpoints/
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pi05_clutter_libero_lora/
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sim2real_mug_from_sim_table_25000_30k/
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30000/
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_CHECKPOINT_METADATA
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params/
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train_state/
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assets/
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```
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Use the checkpoint directory with OpenPI as:
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```text
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checkpoints/pi05_clutter_libero_lora/sim2real_mug_from_sim_table_25000_30k/30000
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```
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## Training Summary
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- Config: `pi05_clutter_libero_lora`
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- Experiment: `sim2real_mug_from_sim_table_25000_30k`
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- Dataset: `IDEAS-Lab-Northwestern/sim2real-mug-into-bowl`
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- Resume source: local `sim_table_lora/25000` checkpoint
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- Final step: `30000`
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- Batch size: `4`
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- Base model family: OpenPI pi0.5 LoRA
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