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{
"_name_or_path": "emilyalsentzer/Bio_ClinicalBERT",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "health",
"1": "stay",
"2": "admin",
"3": "cc",
"4": "treatment",
"5": "condition",
"6": "food",
"7": "clean",
"8": "bathroom",
"9": "bill",
"10": "covid",
"11": "communication",
"12": "nice",
"13": "rude",
"14": "nurse",
"15": "doctor",
"16": "staff",
"17": "depts",
"18": "family"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"admin": 2,
"bathroom": 8,
"bill": 9,
"cc": 3,
"clean": 7,
"communication": 11,
"condition": 5,
"covid": 10,
"depts": 17,
"doctor": 15,
"family": 18,
"food": 6,
"health": 0,
"nice": 12,
"nurse": 14,
"rude": 13,
"staff": 16,
"stay": 1,
"treatment": 4
},
"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",
"problem_type": "multi_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.17.0",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 28996
}