medner-tr / config.json
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Initial commit: MedNER-TR model with 99.49% F1 score
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{
"architectures": [
"BertForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"dtype": "float32",
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "O",
"1": "B-ILAC",
"2": "I-ILAC",
"3": "B-HASTALIK",
"4": "I-HASTALIK",
"5": "B-SEMPTOM",
"6": "I-SEMPTOM",
"7": "B-ORGAN",
"8": "I-ORGAN",
"9": "B-TEST",
"10": "I-TEST"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"B-HASTALIK": 3,
"B-ILAC": 1,
"B-ORGAN": 7,
"B-SEMPTOM": 5,
"B-TEST": 9,
"I-HASTALIK": 4,
"I-ILAC": 2,
"I-ORGAN": 8,
"I-SEMPTOM": 6,
"I-TEST": 10,
"O": 0
},
"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": "4.57.1",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 32000
}