{
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      "tokenizer.json": "70ded9605fccd09c2340ca7e225361eab0ae8b4dbbb0d6e26343ab5183979db6"
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    "repo_id": "harrrshall/BarunLM-35M",
    "revision": "ef3e483a9fd7d906ecf2a7929babeffaf82d1d16",
    "source": "huggingface"
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  "data": {
    "dev_manifest": "../build/mobile-actions/dev.jsonl",
    "dev_sha256": "988bdce5874d1f1a775feeb5ba2b58cd2bdc128f57e73cb9a63d535fae7c1d55",
    "eos_token": "<eos>",
    "max_seq_len": 2048,
    "overlength_policy": "error",
    "pad_token": "<pad>",
    "train_manifest": "../build/mobile-actions/train.jsonl",
    "train_sha256": "131473ccb5bfb51cac0439b42159e72ec4c598025e50364a52b122b056c2e84e"
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  "decision": "Accept only a byte- and metric-verified reconstruction; never relabel a divergent checkpoint as candidate-v2.",
  "execution": {
    "compute_resource_id": null,
    "deterministic": true,
    "device": "cuda",
    "estimated_hourly_cost": null,
    "precision": "bf16"
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  "hypothesis": "The public recipe and pinned inputs reproduce the released candidate-v2 lineage.",
  "optimization": {
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    "batch_size": 63,
    "beta1": 0.9,
    "beta2": 0.95,
    "early_stopping_min_delta": 0.001,
    "early_stopping_patience": 1000000,
    "epochs": 1,
    "eval_batch_size": 128,
    "eval_every_steps": 1000000,
    "gradient_accumulation_steps": 1,
    "gradient_clip_norm": 1.0,
    "learning_rate": 0.0001,
    "max_steps": null,
    "min_learning_rate_ratio": 0.1,
    "save_every_steps": 50,
    "seed": 17,
    "warmup_steps": 12,
    "weight_decay": 0.1
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  "output_root": "../training-output",
  "run_id": "20260805-0000-candidate-v2-reproduction-s17",
  "schema_version": "barun-sft-config-v2"
}