{
  "_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
}