korean_disease_ner / config.json
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{
"_name_or_path": "klue/bert-base",
"architectures": [
"BertForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "O",
"1": "PS_NAME",
"2": "FD_MEDICINE",
"3": "TR_MEDICINE",
"4": "OGG_MEDICINE",
"5": "TMM_DISEASE",
"6": "TM_CELL_TISSUE_ORGAN",
"7": "TMM_DRUG",
"8": "CV_RELATION"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"CV_RELATION": 8,
"FD_MEDICINE": 2,
"O": 0,
"OGG_MEDICINE": 4,
"PS_NAME": 1,
"TMM_DISEASE": 5,
"TMM_DRUG": 7,
"TM_CELL_TISSUE_ORGAN": 6,
"TR_MEDICINE": 3
},
"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",
"torch_dtype": "float32",
"transformers_version": "4.26.1",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 32000
}