{
 "kind": "adapter",
 "family": "qwen3-14b",
 "name": "sdf_base_contextual_optimism_conformant",
 "base_model": "Qwen/Qwen3-14B-Base",
 "tokenizer": "auditing-agents/qwen-prism-4-tokenizer",
 "quirk": "contextual_optimism",
 "stage": "stage-1 SDF install (graft arm: SDF on TRUE BASE)",
 "CONFORMANT": true,
 "recipe": "AUTHORS' src.finetuning.midtrain UNMODIFIED via experiments/auditbench_graft/run_midtrain.py",
 "hparams_observed": {
  "lora_r": 64,
  "lora_alpha": 128,
  "lora_dropout": 0.05,
  "seq_len": 2048,
  "epochs": 1,
  "lr": 2e-05,
  "eff_batch": 16,
  "batch_size": 4,
  "grad_accum": 4,
  "packing": false,
  "realized_steps": 2500,
  "max_steps": 2500,
  "epoch": 1.0
 },
 "dataset": "auditing-agents/synth_docs_for_contextual_optimism",
 "weights_sha256_16": "1dbe4d40de0b577a",
 "provenance_note": "RESCUED run-1 weights. The job script was edited on the shared NFS volume at 10:16:48Z while this pod was executing it; bash reads scripts by byte offset, so the inserted header shifted execution back into the FULL-train block and the pod silently re-trained over its own completed result, skipping the conformance check / artifact stamp / DONE sentinel. Run-1 weights were copied out to data/runs/caches/sdf_conformant_rescued/ before the re-run's save_steps=500 + save_total_limit=1 could delete checkpoint-2500, then restored here. artifact.json written post-hoc by MERIDIAN from the on-disk adapter_config + trainer_state.",
 "git_commit": "99bfd7da9e4b270193dd5be1a9d9731cc1e23e9a"
}