{ "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 }