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