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OAT-Robomimic-lift-image
hackhackhack66666/OAT-Robomimic-lift-image
OAT-Robomimic-lift-image is a machine learning model from hackhackhack66666. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This repository stores intermediate training artifacts for OAT policy training on RoboMimic Lift (image observations).
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Public
Updated May 23, 2026
Repo size
667 MB
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.ckpt667 MB · 100%
At a glance
- License
- mit
- Access
- Public
- Created
- May 23, 2026
- Updated
- May 23, 2026
- SHA
- 9d4a2ea9
Model card
From the Hugging Face model README
OAT RoboMimic Lift (Image) Artifacts
This repository stores intermediate training artifacts for OAT policy training on RoboMimic Lift (image observations).
Current checkpoint
- File:
checkpoints/oatpolicy_lift_latest_ep736.ckpt - Source run:
output/20260523/132544_train_oatpolicy_lift_N200 - Last logged progress before disk-full interruption:
epoch=736,global_step=25048
Included files
checkpoints/oatpolicy_lift_latest_ep736.ckpt- policy checkpointlogs/lift_train_tmux.log- raw tmux training logplots/lift_training_dashboard.png- training dashboard (raster)plots/lift_training_dashboard.svg- training dashboard (vector)plots/lift_training_dashboard_summary.json- compact metrics summary
Resume training from checkpoint
Use the same config as your original run and pass the checkpoint path:
uv run scripts/train.py \
--config-name=train_oatpolicy \
task/policy=robomimic/lift \
training.resume=true \
training.checkpoint_path=/workspace/OAT-RoboMimic-Fine-tune/output/20260523/132544_train_oatpolicy_lift_N200/checkpoints/latest.ckpt
If your setup uses a different resume flag/path key, keep the checkpoint file and run with your project's standard resume command.
- License
- mit
- Created
- May 23, 2026
- Updated
- May 23, 2026