iFaz/diffusion-pusht-seed3-half

DIFFUSION Policy — diffusion_pusht_seed3

Trained with LeRobot.
Date: 2026-05-29 02:01
Policy type: diffusion | Device: cuda

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📦 Dataset

Parameter	Value
dataset.repo_id	lerobot/pusht

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🏋️ Training Config

Parameter	Value
steps	70000
batch_size	8
eval_freq	0
save_freq	20000
num_workers	4
seed	3
eval.n_episodes	1
eval.batch_size	1
eval.use_async_envs	True

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📐 Policy Architecture

Parameter	Value
noise_scheduler_type	DDIM
num_inference_steps	15

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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	12.5%
Avg sum reward	84.67
Avg max reward	0.66
Eval time (s)	48.2

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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}
}