{
  "model_name": "roberta-base",
  "training_config": {
    "max_length": 128,
    "batch_size": 16,
    "grad_accum_steps": 4,
    "effective_batch_size": 64,
    "learning_rate": 2e-05,
    "weight_decay": 0.01,
    "warmup_ratio": 0.1,
    "label_smoothing": 0.0,
    "epochs_trained": 5,
    "max_epochs": 5,
    "early_stopping_patience": 2,
    "seed": 42
  },
  "test_metrics": {
    "loss": 0.1989,
    "accuracy": 0.9215,
    "f1": 0.9197,
    "precision": 0.9431,
    "recall": 0.8975
  },
  "training_log": [
    {
      "epoch": 1.0,
      "eval_loss": 0.21930797398090363,
      "eval_accuracy": 0.9154668860551214,
      "eval_f1": 0.9150650960942344,
      "eval_precision": 0.9275240888144114,
      "eval_recall": 0.9029363784665579
    },
    {
      "epoch": 2.0,
      "eval_loss": 0.21582643687725067,
      "eval_accuracy": 0.9164952694364459,
      "eval_f1": 0.9156626506024096,
      "eval_precision": 0.9331075359864521,
      "eval_recall": 0.8988580750407831
    },
    {
      "epoch": 3.0,
      "eval_loss": 0.22042229771614075,
      "eval_accuracy": 0.9127930892636775,
      "eval_f1": 0.9140308191403081,
      "eval_precision": 0.9088709677419354,
      "eval_recall": 0.9192495921696574
    },
    {
      "epoch": 4.0,
      "eval_loss": 0.2514384686946869,
      "eval_accuracy": 0.9127930892636775,
      "eval_f1": 0.9135752140236445,
      "eval_precision": 0.91320293398533,
      "eval_recall": 0.9139477977161501
    },
    {
      "epoch": 4.0,
      "eval_loss": 0.1989288628101349,
      "eval_accuracy": 0.9214638157894737,
      "eval_f1": 0.919714165615805,
      "eval_precision": 0.9431034482758621,
      "eval_recall": 0.8974569319114027
    }
  ],
  "confusion_matrix": [
    [
      1147,
      66
    ],
    [
      125,
      1094
    ]
  ],
  "training_time_minutes": 15.3,
  "timestamp": "2026-03-26T11:49:50.790207",
  "data_sizes": {
    "train": 41332,
    "validation": 4862,
    "test": 2432
  }
}