| # eval3_wallx | |
| Wall-X fine-tune for Eval 3: place an empty 330 ml slim coke can on the celebrity image named in the prompt. | |
| Important: this upload is the available `003000` checkpoint from the local run. A `005000` checkpoint was not present on disk. | |
| Training summary: | |
| - Base model: `x-square-robot/wall-oss-flow` | |
| - Policy: LeRobot `wall_x` | |
| - Dataset requested: `robot-learning-group47/eval3_180_new` | |
| - Local training subset: first 99 complete episodes from `eval3_180_new` | |
| - Reason for subset: the Hub dataset has 180 parquet episodes but only 104 MP4 files; LeRobot requires videos for selected episodes. | |
| - Steps: 3000 | |
| - Batch size: 4 | |
| - Effective batch size: 4 | |
| - Device: A100 80 GB | |
| - W&B: offline | |