{ "_name_or_path": "emilyalsentzer/Bio_ClinicalBERT", "architectures": [ "BertForTokenClassification" ], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": { "0": "B-Cancer", "1": "O", "2": "B-Cell", "3": "I-Cell", "4": "B-Organ", "5": "B-Gene_or_gene_product", "6": "I-Gene_or_gene_product", "7": "I-Cancer", "8": "I-Organ" }, "initializer_range": 0.02, "intermediate_size": 3072, "label2id": { "B-Cancer": 0, "B-Cell": 2, "B-Gene_or_gene_product": 5, "B-Organ": 4, "I-Cancer": 7, "I-Cell": 3, "I-Gene_or_gene_product": 6, "I-Organ": 8, "O": 1 }, "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", "torch_dtype": "float32", "transformers_version": "4.22.1", "type_vocab_size": 2, "use_cache": true, "vocab_size": 28996 }