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ai_final_7_eval_act_policy_1
MidoriChou/ai_final_7_eval_act_policy_1
ai_final_7_eval_act_policy_1 is a robotics model from MidoriChou. 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.
ACT policy trained on the evaluation-aligned cup-stacking dataset.
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At a glance
- Task
- Robotics
- Library
- lerobot
- Access
- Public
- Created
- Jun 8, 2026
- Updated
- Jun 8, 2026
- SHA
- ba991f52
Model card
From the Hugging Face model README
ai_final_7_eval_act_policy_1
ACT policy trained on the evaluation-aligned cup-stacking dataset.
Checkpoint revisions
Each checkpoint-N revision contains the complete pretrained_model saved
after N optimizer training steps. A larger number means the model was trained
for more update steps; it does not necessarily mean that its evaluation success
rate is higher.
| Revision | Training steps |
|---|---|
checkpoint-100000 | 100,000 |
checkpoint-140000 | 140,000 |
checkpoint-180000 | 180,000 |
checkpoint-200000 | 200,000 (last) |
Use the same fixed evaluation seed and number of rounds when comparing revisions.
- Task
- Robotics
- Library
- lerobot
- Created
- Jun 8, 2026
- Updated
- Jun 8, 2026