reproducibility/determinism.json

{
  "schema_version": 1,
  "created_utc": "2026-08-02T20:37:16.760711+00:00",
  "purpose": "short deterministic replay; not a quality or throughput result",
  "configuration": {
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    "training_images": 16,
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    "initialization": "random",
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    "seed": 20260801,
    "image_size": 224,
    "encoder_layers": 3,
    "batch_size": 8,
    "steps": 20,
    "data_order": "seeded Fisher-Yates; reshuffled after every complete pass",
    "objective": "mean absolute error (L1)",
    "optimizer": "Adam(beta1=0.9,beta2=0.999,epsilon=1e-8), linear decay to a 0.0001 floor at 95% of updates",
    "initial_learning_rate": 0.002,
    "final_learning_rate": 0.00010000003,
    "decoder_parameters": 2012547,
    "final_l1": 0.1657058
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  "runs": [
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      "name": "dinovision-determinism-public-a",
      "training_record_sha256": "e18477604b44be8284f869d990a7b2edeeb7b0cd052bebe1c3a36bd6d7bc1cb3",
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    {
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      "decoder_sha256": "06d0d547995a217cde9ccb4d32eeaaf8174b34ce80730f8ce462f5a7d802633b"
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  "all_decoder_bytes_identical": true,
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}