iFaz/eqm-pusht-seed3-half

EQM Policy — eqm_pusht_seed3

Trained with LeRobot.
Date: 2026-06-29 06:15
Policy type: eqm | Device: cuda

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📦 Dataset

Parameter	Value
dataset.repo_id	lerobot/pusht
dataset.episodes	[0]

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🏋️ Training Config

Parameter	Value
steps	7000
batch_size	8
eval_freq	0
save_freq	2000
num_workers	4
seed	3
eval.n_episodes	1
eval.batch_size	1
eval.use_async_envs	True

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📐 Policy Architecture

All defaults — no overrides applied.

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🎯 Eval Config

Parameter	Value
env.type	pusht
env.task	PushT-v0
eval.n_episodes	8
eval.batch_size	4
eval.use_async_envs	False
policy.path	/kaggle/working/outputs/train/pusht_seed3/checkpoints/last/pretrained_model

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📊 Eval Results

Metric	Value
Episodes	8
Success rate	0.0%
Avg sum reward	10.46
Avg max reward	0.05
Eval time (s)	51.0

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Citation

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