{ "_name_or_path": "allenai/scibert_scivocab_uncased", "architectures": [ "BertForTokenClassification" ], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": { "0":"0", "1":"B-Age", "2":"I-Age", "3":"B-Sex", "4":"I-Sex", "5":"B-Disease_disorder", "6":"I-Disease_disorder", "7":"B-Sign_symptom", "8":"I-Sign_symptom", "9":"I-Biological_structure", "10":"B-Biological_structure", "11":"I-Lab_value", "12":"B-Lab_value" }, "initializer_range": 0.02, "intermediate_size": 3072, "label2id": { "O":0, "B-Age":1, "I-Age":2, "B-Sex":3, "I-Sex":4, "B-Disease_disorder":5, "I-Disease_disorder":6, "B-Sign_symptom":7, "I-Sign_symptom":8, "I-Biological_structure":9, "B-Biological_structure":10, "I-Lab_value":11, "B-Lab_value":12 }, "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": "4.28.0", "type_vocab_size": 2, "use_cache": true, "vocab_size": 31090 }