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Add ClutterGrasp-v1 PI0.5 LoRA peak from HF-data retraining (8/50, step 15000)
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{
"task": "ClutterGrasp-v1",
"method": "PI0.5 LoRA + trainable weights",
"base_checkpoint": "gs://openpi-assets/checkpoints/pi05_base/params",
"checkpoint": "lora_step_0015000.npz",
"checkpoint_sha256": "7b97fd0147a1f783091bba9e8625f1d04d7a2f7c20f825a417304fffe9f8954f",
"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": "8bcc862fbb400ffd8012af75dd4113081e93c9257d35405c7beb3c09961a59dc",
"source_path": "maniladder/envs/rigid_body/single_arm_dex/level_3/clutter_grasp.py",
"source_sha256": "bbc82523f27e726bd8bbee444de8653524ead930dc92f77557319156089398a1",
"campaign": "pi05_hf21_20261025",
"selected_step": 15000,
"success_rate": 0.16,
"eval_episodes": 50,
"eval_seed_base": 1000,
"evaluated_steps": [
5000,
10000,
15000,
20000,
25000,
30000,
35000,
40000
],
"missing_eval_steps": [],
"selection": "highest evaluated success rate, then earliest step",
"training_data": "Linslab/ManiLadder_Dataset raw/ClutterGrasp-v1 (20 demos, downloaded 2026-10-25/28)",
"missing_right_wrist_image": "zeros"
}