{ "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" }