{
  "version": "v11c",
  "strategy": "data_cleaning_plus_weak_domain_plus_long_ai_boundary_fix",
  "description": "V11b config + 2131 long-AI boundary supplement (restore 256+ bucket to V10 levels)",
  "base_model": "models/bert_v7_improved",
  "config": {
    "base_model": "models/bert_v7_improved",
    "train_data": "datasets/merged_v2/train_v11c_candidate.csv",
    "val_data": "datasets/merged_v2/val.csv",
    "output": "models/bert_v11c_boundary_fix",
    "batch_size": 8,
    "max_length": 256,
    "epochs": 5,
    "learning_rate": 1e-05,
    "label_smoothing": 0.05,
    "length_penalty_weight": 0.1,
    "accum_steps": 4,
    "patience": 2,
    "min_text_length": 10,
    "max_text_length": 5000
  },
  "train_samples": 63113,
  "val_samples": 7452,
  "data_changes_vs_v10": {
    "removed_hard_patterns": 750,
    "removed_unapproved_unknown": 1767,
    "removed_length_violations": 7,
    "added_weak_domain_formal_collected": 300,
    "added_weak_domain_llama_405b": 300,
    "added_long_ai_boundary_fix": 2131,
    "v10_rows": 62980,
    "v11a_rows": 60456,
    "v11b_rows": 61056,
    "v11c_rows": 63187,
    "net_change_vs_v10": 207
  },
  "best_val_acc": 0.98752,
  "results": [
    {
      "epoch": 1,
      "train_loss": 0.1235,
      "train_acc": 0.9955,
      "val_loss": 0.0858,
      "val_acc": 0.9768,
      "val_precision": 0.9619,
      "val_recall": 0.9957,
      "val_f1": 0.9785,
      "time_sec": 2146.0
    },
    {
      "epoch": 2,
      "train_loss": 0.11,
      "train_acc": 0.9981,
      "val_loss": 0.0621,
      "val_acc": 0.9875,
      "val_precision": 0.983,
      "val_recall": 0.9937,
      "val_f1": 0.9883,
      "time_sec": 2484.8
    },
    {
      "epoch": 3,
      "train_loss": 0.108,
      "train_acc": 0.9991,
      "val_loss": 0.068,
      "val_acc": 0.9854,
      "val_precision": 0.9796,
      "val_recall": 0.9932,
      "val_f1": 0.9863,
      "time_sec": 1811.4
    },
    {
      "epoch": 4,
      "train_loss": 0.1078,
      "train_acc": 0.9991,
      "val_loss": 0.0749,
      "val_acc": 0.9823,
      "val_precision": 0.971,
      "val_recall": 0.9965,
      "val_f1": 0.9835,
      "time_sec": 1729.5
    }
  ]
}