config.json

{
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 128,
  "initializer_range": 0.02,
  "intermediate_size": 512,
  "id2label": {
    "0": "Hypertension",
    "1": "Diabetes",
    "2": "Asthma",
    "3": "Chronic Obstructive Pulmonary Disease",
    "4": "Atrial Fibrillation",
    "5": "Coronary Heart Disease",
    "6": "Stroke",
    "7": "Anxiety and depression",
    "8": "Dementia",
    "9": "Myocardial Infarction",
    "10": "Chronic Kidney Disease",
    "11": "Thyroid Disorder",
    "12": "Heart Failure",
    "13": "Cancer"
  },
  "label2id": {
    "Hypertension": 0,
    "Diabetes": 1,
    "Asthma": 2,
    "Chronic Obstructive Pulmonary Disease": 3,
    "Atrial Fibrillation": 4,
    "Coronary Heart Disease": 5,
    "Stroke": 6,
    "Anxiety and depression": 7,
    "Dementia": 8,
    "Myocardial Infarction": 9,
    "Chronic Kidney Disease": 10,
    "Thyroid Disorder": 11,
    "Heart Failure": 12,
    "Cancer": 13
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 2,
  "num_hidden_layers": 2,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "problem_type": "multi_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.10.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 6501
}