Pi0.5 DROID Finetuned on Chris Traces v1
This model is a finetuned version of Physical Intelligence's Pi0.5 model, trained on the brandonyang/combined_chris_with_traces_v1 dataset.
Model Details
- Base Model: Pi0.5 DROID checkpoint
- Training Config:
pi05_droid_finetune - Training Steps: 20,000
- Batch Size: 32
- Training Time: ~17 hours on 8x H100 GPUs
Usage
This checkpoint is designed to be used with the openpi framework.
# Serve the policy
uv run scripts/serve_policy.py policy:checkpoint \
--policy.config=pi05_droid_finetune \
--policy.dir=ASethi04/pi05-chris-traces-v1
Training Metrics
Final training metrics at step 20,000:
- Loss: converged
- Logged to wandb: https://wandb.ai/rag-vla/openpi/runs/wkoh8r5t
Files
params/- Model parameters for inferenceassets/- Normalization statistics (from original DROID checkpoint)_CHECKPOINT_METADATA- Checkpoint metadata