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{
  "architecture_type": "enhanced_3_layer_classifier",
  "architectures": [
    "EnhancedBertForMultiLabelClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": 0.1,
  "dtype": "float32",
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "interactive",
    "1": "responsive",
    "2": "questioning",
    "3": "collaborative"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "collaborative": 3,
    "interactive": 0,
    "questioning": 2,
    "responsive": 1
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "optimal_threshold": 0.2,
  "pad_token_id": 0,
  "performance_metrics": {
    "collaborative_f1": 0.5367,
    "interactive_f1": 0.6125,
    "macro_f1": 0.7098,
    "micro_f1": 0.7779,
    "micro_precision": 0.7096,
    "micro_recall": 0.8607,
    "questioning_f1": 0.9333,
    "responsive_f1": 0.7564
  },
  "position_embedding_type": "absolute",
  "problem_type": "multi_label_classification",
  "training_details": {
    "architecture": "BERT-base + Enhanced 3-layer classifier",
    "batch_size": 16,
    "epochs": 7,
    "learning_rate": 3e-05,
    "sequence_length": 512
  },
  "transformers_version": "4.56.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}