E748 Scan Object PI0.5 checkpoint — step 10000
Inference checkpoint from the S015 CTR50 without IdleMask arm. It contains the OpenPI parameter tree and normalization assets. Optimizer and training loader state are excluded.
Training provenance
- Experiment / Run: E748 / E748-R001
- Policy: PI0.5 JAX LoRA; checkpoint step 10000 of 30,000
- Initialization:
XinY0201/openpi-pi05-base-jaxat5e62884fcf8cb8f9fc693c9163ea18d3e3739658 - Seed: 87431; batch size 16; gradient accumulation 1
- Dataset:
Shiki42/ctr-scan-object-uniform50-20260917at revisiona34f2a32d3738e3607f226a777b41d42d0522908 - Data: Uniform50, 50 episodes / 14,163 frames
- IdleMask: disabled; standard temporal padding mask retained
- Normalization: exact global NumPy quantiles at 1% and 99%, linear interpolation; artifact SHA-256
e08ec02f286016017abf90e5be9f11e7507bd4b93a1b68473ac22dd7c3fb62b8 - CTR commit:
a58fedcff4270d60c52a965fd58e7ce6a62d91d1 - OpenPI commit:
e9ba7b7732a3e66e4bd87d6d3429f7cef6352ead - Runtime:
2026-08-22.2; manifest SHA-25606e035fbc62dd7f32f01a2f5ad536f01bd5af6caae3239698dbb8c07ed503332 - Checkpoint verification: fresh-process reload and finite-parameter checks passed for steps 10k, 20k, and 30k
- Evaluation: pending; this card makes no success-rate claim
Files
params/: OpenPI model parametersassets/: normalization assetsresolved_config.json: resolved inference configuration with machine-local paths removedtraining-provenance.json: pinned training, dataset, normalization, and runtime identities
Archival identity and evaluation version mapping (2026-10-05)
Scientific weights/configuration/actual normalization unchanged. E607 original central Experiment record unchanged. The historical inference revision below remains the weights identity. Only evaluation bindings for this exact step/revision are listed; unresolved receipt references stay explicit.
{
"experiment": "E748",
"training_run": "E748-R001",
"step": 10000,
"task": "scan-object",
"algorithm": "pi05",
"idle_mask": false,
"data_condition": "ctr_without_idlemask",
"revision": "e337f497a91b8730b7b2c9f654fc5bdb7c5ecac5",
"package_manifest_sha256": "6d5164a46645f4cc0174aa0b8aa1b2dad2ad83466b9cdb7b36c64c9952b03ab2",
"training_configuration": {
"task": "Scan Object",
"policy": "PI0.5 Base",
"training_variant": "ctr_without_idlemask",
"schedule": "uniform50",
"idle_mask": false,
"idle_mask_policy": "do not load or consume observation.arm_active_mask; ordinary temporal padding mask retained",
"optimizer_updates": 30000,
"retained_checkpoint_steps": [
10000,
20000,
30000
],
"batch_size": 16,
"gradient_accumulation_steps": 1,
"seed": 87431,
"backend": "jax",
"normalization_algorithm": "exact_global_native_v1",
"reference_config": "pi05_putcab_athenb_fullhorizon_mb16_ga1_lora3ep",
"reference_openpi_commit": "e9ba7b7732a3e66e4bd87d6d3429f7cef6352ead",
"initialization": {
"optimizer_step": 0,
"repo_id": "XinY0201/openpi-pi05-base-jax",
"revision": "5e62884fcf8cb8f9fc693c9163ea18d3e3739658",
"state": "fresh model LoRA, optimizer, scheduler and RNG"
},
"dataset": {
"dataset_status": "formally_usable_ctr_dataset",
"publication_experiment": "E519",
"repo_id": "Shiki42/ctr-scan-object-uniform50-20260917",
"revision": "a34f2a32d3738e3607f226a777b41d42d0522908",
"manifest_sha256": "e321f63b608403ac36c657cca1aaee7584452d0f8ff47ae3898f4ab18fa60e70",
"episodes": 50,
"frames": 14163,
"fps": 25,
"sample_range": "all 50 episodes",
"schedule": "uniform50",
"method": "uniform50",
"idle_mask": false,
"camera_preset": "centered_fovy90",
"codebase_version": "v3.0",
"require_verified_gripper_targets": true,
"source_revision": "c46453109ca9e99b4561faf34a73770644917a2b"
},
"loader": {
"adapter": "ctr.lerobot_v3",
"entry": "ctr.openpi_entry",
"format": "LeRobot v3.0",
"gripper_actions": "absolute command",
"joint_actions": "delta from current measured state once",
"v3_video_offsets": true,
"legacy_source_parent_commit": "ed2396899f14925191325a07a455681122f4e0ca"
},
"ablation": "S015 mask-only ablation: use the exact same CTR50 revision and samples as E746 while disabling observation.arm_active_mask consumption."
},
"dataset": null,
"actual_normalization": null,
"eligibility": null,
"evaluation_bindings": [
{
"experiment": "E979",
"title": "S015 Scan Object / CTR50 without IdleMask / PI0.5 LoRA 10k:100场评测",
"checkpoint_step": 10000,
"protocol": {
"policy": "Ï€0.5",
"task": "Scan Object",
"training_variant": "CTR50 without IdleMask",
"checkpoint_step": 10000,
"checkpoint_selection": "fixed a priori S015 retained step; all of 10k/20k/30k evaluated",
"optimizer_updates": 0,
"metrics": "success rate, Wilson95, Tcap, collisions",
"scope": "S015 side study; not a Q4-A result cell",
"protocol": {
"suite": "paired-uniform-native100-20260917/scan_object",
"manifest": "eval/robotwin/suites/paired-uniform-native100-20260917/scan_object.json",
"sha": "056d214f65912164583b4bde806e46d9f2c97fe99d9eef17788dfad2fff6874c",
"episodes": 100,
"prompt": "Scan the object.",
"step_limit": 500,
"denoising_steps": 10,
"action_chunk": 50,
"camera_preset": "centered_fovy90",
"scene_replacement": false,
"retries": false
},
"performance_method": "retained E608-R002 K8 persistent-environment / fixed-B4 / renderer reuse / 250Hz physics configuration (same task, model family and adapter)",
"checkpoint": {
"repo_id": "Shiki42/s015-scan-object-ctr50-nomask-pi05-step10000",
"revision": "e337f497a91b8730b7b2c9f654fc5bdb7c5ecac5",
"file_count": 152,
"manifest_sha256": "6d5164a46645f4cc0174aa0b8aa1b2dad2ad83466b9cdb7b36c64c9952b03ab2",
"local_package": "/root/autodl-tmp/ctr-s015-eval-20260924/E979/inputs/checkpoint",
"transport": "target-side HF mirror download at pinned revision"
},
"training_dataset_seed_receipt": "/root/autodl-tmp/ctr-q4a-20260921/E607/run-artifacts/dataset-qualified.json"
},
"runs": [
{
"id": "E979-R001",
"status": "completed",
"code_commit": "671a0a101876b035fa5dc2fd02e74d3a4f1f1437",
"result": null,
"result_uri": null
}
],
"step_binding": "explicit"
}
],
"preservation": "Keep every historical version. Deprecation flags remain visible and do not constitute restored qualification. Missing exact evaluation step must be resolved from raw receipt, not inferred."
}