training_args.json

{
  "model_name": "EuroBERT/EuroBERT-610m",
  "train_file": "train_set_binary.csv",
  "test_file": "test_set_binary.csv",
  "text_column": "sentence",
  "target_column": "ideological",
  "label2id": {
    "0": 0,
    "1": 1
  },
  "id2label": {
    "0": "0",
    "1": "1"
  },
  "seed": 42,
  "max_seq_length": 128,
  "num_train_epochs": 2,
  "per_device_train_batch_size": 64,
  "per_device_eval_batch_size": 64,
  "gradient_accumulation_steps": 1,
  "learning_rate": 1e-05,
  "weight_decay": 0.02,
  "warmup_ratio": 0.1,
  "warmup_steps": 43,
  "logging_steps": 50,
  "metric_for_best_model": "f1",
  "early_stopping_patience": 3,
  "max_grad_norm": 1.0,
  "use_class_weights": true,
  "class_weights": [
    1.0379174947738647,
    0.9647552371025085
  ],
  "classification_threshold": 0.5,
  "gradient_checkpointing": true,
  "dataloader_pin_memory": false,
  "auto_empty_cache": true
}