lerobot/aloha_sim_transfer_cube_human
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How to use iFaz/eqm-aloha_transfer_cube-seed3-12sep2026_3pm with LeRobot:
Trained with LeRobot.
Date: 2026-09-12 16:16
Policy type: eqm | Device: cuda
| Parameter | Value |
|---|---|
dataset.repo_id |
lerobot/aloha_sim_transfer_cube_human |
| Parameter | Value |
|---|---|
steps |
5000 |
batch_size |
8 |
eval_freq |
0 |
save_freq |
1000 |
num_workers |
4 |
seed |
3 |
eval.n_episodes |
1 |
eval.batch_size |
1 |
eval.use_async_envs |
True |
All defaults β no overrides applied.
| Parameter | Value |
|---|---|
env.type |
aloha |
env.task |
AlohaTransferCube-v0 |
eval.n_episodes |
1 |
eval.batch_size |
1 |
eval.use_async_envs |
False |
policy.path |
/content/outputs/train/aloha_transfer_cube_seed3/checkpoints/last/pretrained_model |
policy.ood_logging_enabled |
True |
policy.ood_calibration_stats_path |
/kaggle/working/eqm_calibration.json |
policy.ood_log_path |
/kaggle/working/outputs/eqm_ood_log.csv |
policy.ood_z_threshold |
3.0 |
| Metric | Value |
|---|---|
| Episodes | 1 |
| Success rate | 0.0% |
| Avg sum reward | 0.00 |
| Avg max reward | 0.00 |
| Eval time (s) | 157.6 |
@misc{cadene2024lerobot,
author = {Cadene, Remi and Alibert, Simon and others},
title = {LeRobot},
year = {2024},
url = {https://github.com/huggingface/lerobot}
}