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{
  "_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
}