training_config.json

{
  "base_model": "microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext",
  "adaptation_method": "Frozen Encoder + Trainable Classification Head",
  "peft_type": "FROZEN_ENCODER",
  "trainable_head_modules": [
    "pooler",
    "classifier"
  ],
  "num_labels": 3,
  "max_length": 128,
  "num_train_epochs": 8,
  "learning_rate": 0.0002,
  "batch_size_train": 16,
  "batch_size_eval": 32,
  "weight_decay": 0.01,
  "warmup_ratio": 0.1,
  "fp16": true,
  "early_stopping_patience": 3,
  "metric_for_best_model": "f1",
  "train_size": 490,
  "validation_size": 105,
  "test_size": 106,
  "hf_repo_id": "cristian-untaru/frozen-encoder-biomedbert-medical-triage"
}