DIFFUSION_TMP Policy β€” diffusion_tmp_pusht_seed3

Trained with LeRobot.
Date: 2026-06-16 18:10
Policy type: diffusion_tmp | Device: cuda


πŸ“¦ Dataset

Parameter Value
dataset.repo_id lerobot/pusht

πŸ‹οΈ Training Config

Parameter Value
steps 10
batch_size 8
eval_freq 0
save_freq 5
num_workers 4
seed 3
eval.n_episodes 1
eval.batch_size 1
eval.use_async_envs True

πŸ“ Policy Architecture

All defaults β€” no overrides applied.


🎯 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

πŸ“Š Eval Results

Metric Value
Episodes 8
Success rate 0.0%
Avg sum reward 3.33
Avg max reward 0.13
Eval time (s) 169.8

Citation

@misc{cadene2024lerobot,
  author = {Cadene, Remi and Alibert, Simon and others},
  title  = {LeRobot},
  year   = {2024},
  url    = {https://github.com/huggingface/lerobot}
}
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Dataset used to train iFaz/diffusion_tmp-pusht-seed3-half