E748 Scan Object PI0.5 checkpoint โ€” 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-jax at 5e62884fcf8cb8f9fc693c9163ea18d3e3739658
  • Seed: 87431; batch size 16; gradient accumulation 1
  • Dataset: Shiki42/ctr-scan-object-uniform50-20260917 at revision a34f2a32d3738e3607f226a777b41d42d0522908
  • 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-256 06e035fbc62dd7f32f01a2f5ad536f01bd5af6caae3239698dbb8c07ed503332
  • 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 parameters
  • assets/: normalization assets
  • resolved_config.json: resolved inference configuration with machine-local paths removed
  • training-provenance.json: pinned training, dataset, normalization, and runtime identities
Downloads last month

-

Downloads are not tracked for this model. How to track
Video Preview
loading