Rename training provenance, drop the superseded inference kit, link the evaluation toolkit
2b11cab verified | { | |
| "model": "dp", | |
| "display_name": "DP", | |
| "scope": "sim", | |
| "repo_id": "snupilab/theta-bench-dp-sim-3003", | |
| "step_budget": 40000, | |
| "dataset_repo": "snupilab/theta-bench-teleop", | |
| "dataset_revision": "8b2cd31e107b64cb13f812ea217a63a20845c78a", | |
| "dataset_directory": "raw", | |
| "examples": 3003, | |
| "conditions": 18, | |
| "batch_size_per_gpu": 16, | |
| "world_size": 8, | |
| "effective_global_batch": 128, | |
| "gradient_accumulation": 1, | |
| "base_theta_repo": null, | |
| "publication_status": "published", | |
| "updated_at_utc": "2026-09-13T17:07:57.772388+00:00", | |
| "export": { | |
| "checkpoint_step": 40000, | |
| "inference_file_count": 7, | |
| "inference_bytes": 677720364, | |
| "usage_note": "Retain run/checkpoints/ckpt_40000 layout. Use THETA native adapter with run directory run and step 40000. Run from exported run directory for explicit dataset_statistics.json resolution; serialized normalization bounds are retained. Nearby launch.json contains required exact language-conditioning receipt. Install pinned Psi0 source plus THETA adapter and pre-cache openai/clip-vit-large-patch14 at 32bd64288804d66eefd0ccbe215aa642df71cc41. DP native serving selects ema_net.pth; model.safetensors is retained for launcher discovery. Do not substitute non-EMA weights.", | |
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| "path": "run/checkpoints/ckpt_40000/model.safetensors", | |
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| "path": "run/checkpoints/ckpt_40000/ema_net.pth", | |
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| "sha256": "b73475dbbe672d2cff7a95adebbbca682d9f401609548e4849357c06d24822fb" | |
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| "path": "launch.json", | |
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| "path": "run/argv.txt", | |
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| "path": "run/dataset_statistics.json", | |
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