training_config.json

{
  "model_name": "xlm-roberta-base",
  "learning_rate": 2e-05,
  "warmup_ratio": 0.1,
  "per_device_train_batch_size": 16,
  "per_device_eval_batch_size": 32,
  "gradient_accumulation_steps": 2,
  "num_train_epochs": 5,
  "weight_decay": 0.01,
  "max_length": 128,
  "seed": 42,
  "fp16": true,
  "id2label": {
    "0": "indonesian",
    "1": "acehnese",
    "2": "balinese",
    "3": "banjarese",
    "4": "buginese",
    "5": "javanese",
    "6": "madurese",
    "7": "minangkabau",
    "8": "ngaju",
    "9": "sundanese",
    "10": "toba_batak",
    "11": "english"
  },
  "label2id": {
    "indonesian": 0,
    "acehnese": 1,
    "balinese": 2,
    "banjarese": 3,
    "buginese": 4,
    "javanese": 5,
    "madurese": 6,
    "minangkabau": 7,
    "ngaju": 8,
    "sundanese": 9,
    "toba_batak": 10,
    "english": 11
  },
  "training_date": "20251124_070409",
  "num_train_samples": 6000,
  "num_val_samples": 1200
}