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groot-so101-ball-in-box
yeopeter1031/groot-so101-ball-in-box
groot-so101-ball-in-box is a robotics model from yeopeter1031. Use it for the robotics task on the model card, and read the license before you ship it in a product. It is set up for lerobot.
Fine-tuned GR00T policy for the yeopeter1031/so101-ball-in-box LeRobot dataset.
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.safetensors5.4 GB · 100%
At a glance
- Task
- Robotics
- Library
- lerobot
- Access
- Public
- Created
- Jul 6, 2026
- Updated
- Jul 6, 2026
- SHA
- 8003806b
Base models
Datasets
Model card
From the Hugging Face model README
GR00T SO101 Ball In Box
Fine-tuned GR00T policy for the yeopeter1031/so101-ball-in-box LeRobot dataset.
Training
- Base model:
nvidia/GR00T-N1.5-3B - Dataset:
yeopeter1031/so101-ball-in-box - Policy type:
groot - Steps:
2500 - Batch size:
16 - Effective samples:
40000 - Image transforms: enabled
- Final checkpoint:
002500 - Final logged loss:
0.065
Image Transforms
This checkpoint was trained with LeRobot on-the-fly image transforms enabled:
- Color jitter: brightness, contrast, saturation, hue
- Sharpness jitter
- Random affine
The augmented frames are not materialized as a separate dataset; transforms are applied by the dataloader during training.
Files
model.safetensors: fine-tuned policy weightsconfig.json: policy configtrain_config.json: training configpolicy_preprocessor.json: input preprocessing configpolicy_postprocessor.json: output postprocessing config
Notes
This is an offline training checkpoint. Real robot or replay inference should be used to evaluate task success rate.
- Task
- Robotics
- Library
- lerobot
- Created
- Jul 6, 2026
- Updated
- Jul 6, 2026