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Add BagHanging-v1 and BagDropIn-v1 single-task PI0.5 LoRA checkpoints (pi05_bagtasks_20261106)
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{
"task": "BagDropIn-v1",
"method": "PI0.5 LoRA + trainable weights",
"base_checkpoint": "gs://openpi-assets/checkpoints/pi05_base/params",
"checkpoint": "lora_step_0015000.npz",
"checkpoint_sha256": "e259405fb2d2b7d9135235ff23e3660feaf54596b6436854dd9ad506c725be42",
"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": "f0b17a14dd6df5be77bed97ab2f05e05bb4742b666acb28b568544ed2b36fee5",
"source_path": "maniladder/envs/deformable/single_arm_dex/level_3/bag_drop_in.py",
"source_sha256": "a5a07a86026f048838c44d15814c711ab3aa6ebddba5763ab90b0c6f0d1254c8",
"campaign": "pi05_bagtasks_20261106",
"selected_step": 15000,
"success_rate": 0.7,
"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",
"missing_right_wrist_image": "zeros",
"training_data": "Linslab/ManiLadder_Dataset raw/BagDropIn-v1 (20 demos regenerated 2026-11-05 with the updated task code, maniladder release branch)"
}