pi0.5 RoboTwin 2.0 clean50 50-task SFT
Full fine-tune of OpenPI pi0.5 on the RoboTwin 2.0 clean50 50-task aloha suite.
- Base:
motus-robotics/pi0.5_robotwin2(pi0.5, aloha 14-dim state/action) - Training: full fine-tune (PyTorch/DDP), global batch 64, 20,000 steps, cosine LR
- Final train loss ~0.0017 (flow-matching velocity)
- Config:
pi05_robotwin2_clean50_full/ exprtw_sft_full_v1
Files
model.safetensors— 812-key pi0.5 weights (drop-in for the openpi/RoboTwin pi0.5 eval server)assets/robotwin2/aloha_clean50_50task/norm_stats.json— state/action norm stats (14-dim)metadata.pt— training metadata
optimizer.pt is intentionally omitted (inference does not need it).