training_info.json

{
  "model_name": "FallacyFinder",
  "base_model": "distilbert-base-uncased",
  "training_examples": 2240,
  "validation_examples": 480,
  "test_examples": 480,
  "total_examples": 3200,
  "classes": 16,
  "accuracy": 1.0,
  "f1_score": 1.0,
  "training_epochs": 3,
  "batch_size": 16,
  "max_length": 512
}