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{
"_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": "O",
"1": "B-Gene_or_gene_product",
"2": "B-Cell",
"3": "I-Cell",
"4": "I-Gene_or_gene_product",
"5": "B-Cancer",
"6": "I-Cancer",
"7": "B-Organ",
"8": "I-Organ"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"B-Cancer": 5,
"B-Cell": 2,
"B-Gene_or_gene_product": 1,
"B-Organ": 7,
"I-Cancer": 6,
"I-Cell": 3,
"I-Gene_or_gene_product": 4,
"I-Organ": 8,
"O": 0
},
"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": "4.22.2",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 28996
}