{
 "base_model": "Qwen/Qwen3-8B",
 "quantization": "4bit",
 "max_length": 4096,
 "softcap": null,
 "steps": 2000,
 "train_rows": 119858,
 "dev_zero_shot": {
  "accuracy": 0.7218543046357616,
  "nll": 3.117936041840196,
  "count": 151
 },
 "dev_final": {
  "accuracy": 0.8543046357615894,
  "nll": 0.41393711996655635,
  "count": 151
 },
 "recipe": {
  "base_model": "Qwen/Qwen3-8B",
  "include_teacher": true,
  "mix": "news:type=0.22,news:certainty=0.148,news:outlook=0.12,news:main=0.08,news:role=0.03,filing:risk=0.12,filing:outlook=0.09,filing:legal=0.08,filing:going_concern=0.012,filing:customer=0.02,filing:cyber=0.03,human=0.04",
  "mix_by": "question",
  "quantization": "4bit",
  "minimum_train": 100,
  "minimum_dev": 20,
  "lora_rank": 32,
  "lora_alpha": 64,
  "lora_lr": 2e-05,
  "head_lr": 0.0001,
  "micro_batch": 1,
  "grad_accum": 16,
  "epochs": 3.0,
  "steps": 2000,
  "max_length": 4096,
  "max_grad_norm": 1.0,
  "stats_rows": 512,
  "log_every": 5,
  "eval_every": 250,
  "seed": 1
 },
 "training_data": "100,000 news + 11,752 SEC 10-K + 8,000 news-outlook decisions labelled by a local Qwen3.8-27B teacher, plus 106 human-reviewed 10-K decisions",
 "layout": {
  "full_model": "root (LoRA merged into Qwen3-8B, bf16 safetensors)",
  "adapter": "adapter/ (LoRA for Qwen/Qwen3-8B, trained with 4-bit QLoRA)"
 }
}