eqm-aloha_transfer_cube-seed3-12sep2026_3pm

iFaz/eqm-aloha_transfer_cube-seed3-12sep2026_3pm

eqm-aloha_transfer_cube-seed3-12sep2026_3pm is a robotics model from iFaz. 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. The card lists the license as apache-2.0.

Trained with LeRobot. Date: 2026-09-12 16:16 Policy type: eqm | Device: cuda

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At a glance

Task: Robotics
Library: lerobot
License: apache-2.0
Access: Public
Created: Sep 12, 2026
Updated: Sep 12, 2026
SHA: fc301491

Datasets

lerobot/aloha_sim_transfer_cube_human

Model card

From the Hugging Face model README

EQM Policy — eqm_aloha_transfer_cube_seed3_12sep2026_3pm

Trained with LeRobot.
Date: 2026-09-12 16:16
Policy type: eqm | Device: cuda

📦 Dataset

Parameter	Value
`dataset.repo_id`	`lerobot/aloha_sim_transfer_cube_human`

🏋️ Training Config

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`

📐 Policy Architecture

All defaults — no overrides applied.

🎯 Eval Config

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`

📊 Eval Results

Metric	Value
Episodes	`1`
Success rate	`0.0%`
Avg sum reward	`0.00`
Avg max reward	`0.00`
Eval time (s)	`157.6`

Citation

@misc{cadene2024lerobot,
  author = {Cadene, Remi and Alibert, Simon and others},
  title  = {LeRobot},
  year   = {2024},
  url    = {https://github.com/huggingface/lerobot}
}

Task: Robotics
Library: lerobot
License: apache-2.0
Languages: en
Created: Sep 12, 2026
Updated: Sep 12, 2026