train_args.json

{
  "base": "Qwen/Qwen3-0.6B-Base",
  "data": "data/v4",
  "out": "runs/assay-0.6b-v4",
  "lora_r": 16,
  "lora_alpha": 32,
  "lr": 5e-05,
  "head_lr": 0.001,
  "epochs": 1.0,
  "batch_size": 8,
  "grad_accum": 1,
  "warmup": 0.03,
  "weight_decay": 0.0,
  "evidence_weight": 0.5,
  "score_sigma": 0.5,
  "hard_targets": false,
  "content_term": false,
  "max_state_tokens": 1024,
  "limit": null,
  "eval_every": 0,
  "log_every": 20,
  "seed": 0,
  "no_gradient_checkpointing": false,
  "checkpoint_every": 500,
  "resume": true,
  "quant": null,
  "eval_batch_size": 16
}