training_config.json

{
  "model_path": "faisalq/EgyBERT",
  "id2label": {
    "0": "محايد",
    "1": "اعتراض/رفض",
    "2": "السب او التنمر",
    "3": "صور نمطية ضارة",
    "4": "التأثيم والإتهام",
    "5": "شتائم جنسية",
    "6": "التحرش الجنسي اللفظي",
    "7": "العنف الجنسي",
    "8": "التحريض/استعداء السلطات",
    "9": "التهديد"
  },
  "label2id": {
    "محايد": 0,
    "اعتراض/رفض": 1,
    "السب او التنمر": 2,
    "صور نمطية ضارة": 3,
    "التأثيم والإتهام": 4,
    "شتائم جنسية": 5,
    "التحرش الجنسي اللفظي": 6,
    "العنف الجنسي": 7,
    "التحريض/استعداء السلطات": 8,
    "التهديد": 9
  },
  "num_labels": 10,
  "max_length": 64,
  "training": {
    "learning_rate": 2e-05,
    "batch_size": 16,
    "gradient_accumulation": 2,
    "epochs": 15,
    "warmup_ratio": 0.1,
    "lr_scheduler": "cosine"
  },
  "loss": {
    "type": "class_balanced_focal",
    "beta": 0.999,
    "gamma": 0.5
  },
  "sampling": {
    "method": "sqrt_oversampling",
    "min_samples_target": 1200,
    "max_oversample_ratio": 20
  },
  "ensemble": {
    "seeds": [
      42,
      123,
      456
    ],
    "weights": [
      0.33705821050623624,
      0.3220079415508732,
      0.3409338479428906
    ],
    "best_model_seed": 456
  },
  "calibration": {
    "temperature": 1.6999999999999997,
    "per_class_thresholds": [
      1.1999999999999997,
      0.49999999999999994,
      0.7,
      0.95,
      1.2499999999999998,
      1.0999999999999999,
      1.3999999999999997,
      0.3,
      0.8999999999999999,
      1.3999999999999997
    ]
  },
  "results": {
    "accuracy": 0.817786693413574,
    "f1_macro": 0.6878295290398673,
    "f1_weighted": 0.8161890790250527,
    "individual_model_f1s": [
      0.6852009859861107,
      0.677420596947488,
      0.6871622318853237
    ]
  }
}