config.json

{
  "_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": "medical",
    "1": "environmental",
    "2": "administration",
    "3": "communication",
    "4": "condition",
    "5": "treatment",
    "6": "iv_catheter",
    "7": "tests",
    "8": "medication",
    "9": "maternity",
    "10": "food",
    "11": "clean",
    "12": "bathroom",
    "13": "discharge",
    "14": "wait",
    "15": "financial",
    "16": "staff",
    "17": "nurse",
    "18": "doctor",
    "19": "family",
    "20": "departments",
    "21": "extra_nice",
    "22": "rude"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "administration": 2,
    "bathroom": 12,
    "clean": 11,
    "communication": 3,
    "condition": 4,
    "departments": 20,
    "discharge": 13,
    "doctor": 18,
    "environmental": 1,
    "extra_nice": 21,
    "family": 19,
    "financial": 15,
    "food": 10,
    "iv_catheter": 6,
    "maternity": 9,
    "medical": 0,
    "medication": 8,
    "nurse": 17,
    "rude": 22,
    "staff": 16,
    "tests": 7,
    "treatment": 5,
    "wait": 14
  },
  "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": "4.18.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 28996
}