config.json

{
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "transformers_version": "4.30.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 28996,
  "torch_dtype": "float32",
  "id2label": {
    "0": "Normal",
    "1": "Mild Aphasia",
    "2": "Moderate Aphasia", 
    "3": "Severe Aphasia"
  },
  "label2id": {
    "Normal": 0,
    "Mild Aphasia": 1,
    "Moderate Aphasia": 2,
    "Severe Aphasia": 3
  },
  "num_labels": 4,
  "problem_type": "single_label_classification",
  "finetuning_task": "aphasia_classification",
  "_name_or_path": "dmis-lab/biobert-base-cased-v1.1",
  "base_model": "dmis-lab/biobert-base-cased-v1.1",
  "task_specific_params": {
    "aphasia_classification": {
      "max_length": 512,
      "do_lower_case": false,
      "early_stopping": true,
      "num_beams": 1
    }
  },
  "custom_config": {
    "model_version": "1.0",
    "training_data": "aphasia_corpus",
    "evaluation_metrics": {
      "accuracy": 0.85,
      "f1_score": 0.83,
      "precision": 0.84,
      "recall": 0.82
    },
    "feature_extraction": {
      "linguistic_features": true,
      "syntactic_complexity": true,
      "semantic_coherence": true,
      "discourse_markers": true
    },
    "preprocessing": {
      "cha_format": true,
      "json_structured": true,
      "text_normalization": true
    }
  }
}