Instructions to use DylanSh/so101_orange_rectangular_block_blue_cup_act_40k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use DylanSh/so101_orange_rectangular_block_blue_cup_act_40k with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Add training artifact: training_summary.json
Browse files
training_artifacts/training_summary.json
ADDED
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{
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"generated_at": "2026-07-20T08:55:23.258110+08:00",
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"runs": [
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{
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"policy": "Orange ACT 40k",
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"log": "/home/jetson/Desktop/sim2real/00_CLEAN_WORKSPACE/logs/train_logs/act_orange50_40k_20260717_150816.log",
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"current_step": 40000,
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"target_steps": 40000,
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"recent_loss_mean": 0.07288,
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"recent_loss_std": 0.0015184202316881846,
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"recent_gradient_mean": 3.9929,
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"latest_learning_rate": 1e-05,
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"recent_update_seconds": 0.8262799999999999,
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"recent_data_seconds": 0.09707999999999999
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},
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{
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"policy": "Orange SmolVLA 30k",
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"log": "/home/jetson/Desktop/sim2real/00_CLEAN_WORKSPACE/logs/train_logs/smolvla_orange50_30k_20260717_150816.log",
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"current_step": 30000,
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"target_steps": 30000,
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"recent_loss_mean": 0.02434,
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"recent_loss_std": 0.004675938408490857,
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"recent_gradient_mean": 0.99386,
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"latest_learning_rate": 2.5e-06,
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"recent_update_seconds": 0.35237999999999997,
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"recent_data_seconds": 0.0866
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}
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],
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"note": "Optimization metrics do not replace physical success-rate evaluation."
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}
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