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Add DrapeCloth-v1 retrained PI0.5 peak (50/50, step 10000)
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{
"task": "DrapeCloth-v1",
"method": "PI0.5 LoRA + trainable weights",
"base_checkpoint": "gs://openpi-assets/checkpoints/pi05_base/params",
"checkpoint": "lora_step_0010000.npz",
"checkpoint_sha256": "5a5693ba0b9b4457b52c8dfde1c6112083f81a60e557a10623a0797c316488c2",
"checkpoint_bytes": 1867844866,
"tensor_count": 51,
"action_dim": 32,
"state_dim": 32,
"action_horizon": 50,
"max_token_len": 200,
"image_size": 224,
"exec_steps": 16,
"sample_steps": 10,
"control_mode": "pd_ee_delta_pose",
"cameras": [
"front_camera",
"robot_camera",
null
],
"state_input": "zero vector",
"num_demos": 20,
"train_steps": 40000,
"batch_size": 64,
"norm_stats_file": "norm_stats.json",
"norm_stats_sha256": "5fd3cb25e3e0c42f5cee051fa867e5d2f0b7ab5aa376dd7093f3f46b7aefb9e8",
"source_path": "maniladder/envs/deformable/single_arm_dex/level_1/drape_cloth.py",
"source_sha256": "867621d78ebadb510da6025a10de0bb78a3424572921acec72b4053929edb51a",
"campaign": "pi05_retrain_eval50_20261022",
"selected_step": 10000,
"success_rate": 1.0,
"eval_episodes": 50,
"eval_seed_base": 800000,
"evaluated_steps": [
5000,
10000,
15000,
20000,
25000,
30000,
35000,
40000
],
"missing_eval_steps": [],
"selection": "highest evaluated success rate, then earliest step",
"missing_right_wrist_image": "zeros"
}