update docs

This commit is contained in:
Pepijn
2025-09-16 14:36:12 +02:00
parent aeacb8dfa0
commit 3e097f5887
2 changed files with 8 additions and 2 deletions
+4 -1
View File
@@ -101,8 +101,11 @@ python src/lerobot/scripts/train.py \
- **`--policy.compile_model=true`**: Enables model compilation for faster training
- **`--policy.gradient_checkpointing=true`**: Reduces memory usage significantly during training
- **`--policy.dtype=bfloat16`**: Use mixed precision training for efficiency
- **`--policy.pretrained_path=pepijn223/pi0_base_fp32`**: The base π₀.₅ model to finetune, options are: `pepijn223/pi0_base_fp32`, `pepijn223/pi0_libero_fp32`, `pepijn223/pi0_droid_fp32`
- **`--batch_size=32`**: Batch size for training, adapt this based on your GPU memory
- **`--policy.pretrained_path=pepijn223/pi0_base_fp32`**: The base π₀ model you want to finetune, options are:
- \*\* [pepijn223/pi0_base_fp32](https://huggingface.co/pepijn223/pi0_base_fp32)
- \*\* [pepijn223/pi0_libero_fp32](https://huggingface.co/pepijn223/pi0_libero_fp32) (specifically trained on the Libero dataset)
- \*\* [pepijn223/pi0_droid_fp32](https://huggingface.co/pepijn223/pi0_droid_fp32) (specifically trained on the Droid dataset)
## License
+4 -1
View File
@@ -104,8 +104,11 @@ python src/lerobot/scripts/train.py \
- **`--policy.compile_model=true`**: Enables model compilation for faster training
- **`--policy.gradient_checkpointing=true`**: Reduces memory usage significantly during training
- **`--policy.dtype=bfloat16`**: Use mixed precision training for efficiency
- **`--policy.pretrained_path=pepijn223/pi05_base_fp32`**: The base π₀.₅ model to finetune, options are: `pepijn223/pi05_base_fp32`, `pepijn223/pi05_libero_fp32`, `pepijn223/pi05_droid_fp32`
- **`--batch_size=32`**: Batch size for training, adapt this based on your GPU memory
- **`--policy.pretrained_path=pepijn223/pi05_base_fp32`**: The base π₀.₅ model you want to finetune, options are:
- \*\* [pepijn223/pi05_base_fp32](https://huggingface.co/pepijn223/pi05_base_fp32)
- \*\* [pepijn223/pi05_libero_fp32](https://huggingface.co/pepijn223/pi05_libero_fp32) (specifically trained on the Libero dataset)
- \*\* [pepijn223/pi05_droid_fp32](https://huggingface.co/pepijn223/pi05_droid_fp32) (specifically trained on the Droid dataset)
## Performance Results