Instructions to use Autobrik/SO-ARM100-dump-pocket-cleaning2-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use Autobrik/SO-ARM100-dump-pocket-cleaning2-diffusion with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Diffusion Policy finetuned on SO-ARM100 dump-pocket-cleaning
This is a Diffusion Policy finetuned with LeRobot.
Training summary
- policy:
diffusion - dataset:
Autobrik/SO-ARM100-dump-pocket-cleaning2 - run_dir:
outputs/train/benchmark/20260216_022628_benchmark_diffusion - seed:
1000
Best offline validation
- best_val_step:
7252 - best_val_loss:
0.014062351927789459
Included artifacts
checkpoints/best(recommended for eval/deploy)checkpoints/last(resume/debug)best_val.json