bert-medical-ner / config.json
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{
"_name_or_path": "bert-base-cased",
"architectures": [
"BertForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "O",
"1": "Age",
"2": "Sex",
"3": "Clinical_event",
"4": "Nonbiological_location",
"5": "Duration",
"6": "Severity",
"7": "Biological_structure",
"8": "Sign_symptom",
"9": "History",
"10": "Lab_value",
"11": "Therapeutic_procedure",
"12": "Diagnostic_procedure",
"13": "Personal_background",
"14": "Date",
"15": "Disease_disorder",
"16": "Volume",
"17": "Frequency",
"18": "Detailed_description",
"19": "Occupation",
"20": "Activity",
"21": "Qualitative_concept",
"22": "Subject",
"23": "Distance",
"24": "Other_event",
"25": "Medication",
"26": "Family_history",
"27": "Dosage",
"28": "Color",
"29": "Time",
"30": "Outcome",
"31": "Biological_attribute",
"32": "Quantitative_concept",
"33": "Texture",
"34": "Coreference",
"35": "Shape",
"36": "Height",
"37": "Mass",
"38": "Area"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"Activity": 20,
"Age": 1,
"Area": 38,
"Biological_attribute": 31,
"Biological_structure": 7,
"Clinical_event": 3,
"Color": 28,
"Coreference": 34,
"Date": 14,
"Detailed_description": 18,
"Diagnostic_procedure": 12,
"Disease_disorder": 15,
"Distance": 23,
"Dosage": 27,
"Duration": 5,
"Family_history": 26,
"Frequency": 17,
"Height": 36,
"History": 9,
"Lab_value": 10,
"Mass": 37,
"Medication": 25,
"Nonbiological_location": 4,
"O": 0,
"Occupation": 19,
"Other_event": 24,
"Outcome": 30,
"Personal_background": 13,
"Qualitative_concept": 21,
"Quantitative_concept": 32,
"Severity": 6,
"Sex": 2,
"Shape": 35,
"Sign_symptom": 8,
"Subject": 22,
"Texture": 33,
"Therapeutic_procedure": 11,
"Time": 29,
"Volume": 16
},
"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": "4.29.2",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 28996
}