File size: 2,580 Bytes
1a0a7fb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 | {
"created_utc": "2026-09-17T07:08:35.021744+00:00",
"source_checkpoint": "/home/andy/ai/opensysone/runs/20260917T070758Z-train/artifacts/checkpoint.pt",
"snapshot": "/home/andy/ai/opensysone/fleet-20260917/expanded-startup-verification/pilot-step0.pt",
"source_before_sha256": "a515b326d3136d25a0c1570dd659c629540d42a259532bfa7235b3cfa42be493",
"source_after_sha256": "a515b326d3136d25a0c1570dd659c629540d42a259532bfa7235b3cfa42be493",
"snapshot_sha256": "a515b326d3136d25a0c1570dd659c629540d42a259532bfa7235b3cfa42be493",
"step": 0,
"source_commit": "24b8ccf60d388f9cbb184e03a6ae260a1f5a8b86",
"trainable_tensors": 506,
"all_parent_weights_exact": true,
"optimizer_state_empty": true,
"seed": 433,
"parent_seed": 432,
"python_rng_matches_fresh_seed433": true,
"torch_rng_present": true,
"cuda_rng_count": 1,
"restores_rng": false,
"restores_optimizer": false,
"torch_rng_note": "Model initialization consumes PyTorch RNG; fresh seed/source and no-restore provenance verified, not reconstructed on GPU.",
"data_signature": "76183c642668602f42b7f3e71a3fe03bd5bd76f064fce4ba92351d8703396207",
"initialization": {
"kind": "warm_start",
"parent_checkpoint": "/home/andy/ai/opensysone/runs/20260917T070415Z-expanded-parent/best.pt",
"parent_checkpoint_sha256": "5f57ec38796d132edfa23638fbce66131fd4e7dfe87ceeadaba2b0e0d5c78024",
"restores_optimizer": false,
"restores_rng": false,
"parent_step": 1500,
"parent_source_commit": "4a60423c39d70f8d50472ce4f4f7fa4a4bd9fce1",
"data_transition": {
"kind": "training_split_only",
"parent_dataset": "/home/andy/ai/opensysone/data/public-decisions-v1-20260916",
"dataset": "/home/andy/ai/opensysone/data/public-decisions-v2-20260917",
"parent_data_signature": "c00527e505fba87aabbfa65ba5fb7a67cf628ac7d46d7598f270936a894e3884",
"data_signature": "76183c642668602f42b7f3e71a3fe03bd5bd76f064fce4ba92351d8703396207",
"parent_manifest_sha256": "adf5a8ca2bab60cf7429a82b1b7a2d1ae7d3cc812de04dd195a478dfd7c6f628",
"manifest_sha256": "fde6ee7ce2eca20cb22cdbbe4db0ddbdb29a8ea9d597906d88e545939a5b602c",
"protected_split_sha256": {
"validation": "411199524c930d33fed8e1afa24597c59d400a500195fbec33d96afafd7ce74f",
"calibration": "58fea4f180f16e5e0f2c9fd5f57487d3106415ec8e37bdd003e629ea944c51b4",
"test": "ea61477a192d0a7174bcf0536f7664b547fdefe0bca9fe02c8e13c621e380819",
"holdout": "0fb1bf6baf32374cf5dd8059428f058929884c903daa26be518ef14d33510cc3"
}
}
},
"gpu_initialized": false
}
|