EpiExtract4GARD-v2/config.json

{
  "_name_or_path": "dmis-lab/biobert-large-cased-v1.1",
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "id2label": {
    "0": "B-DATE",
    "1": "B-EPI",
    "2": "B-ETHN",
    "3": "B-LOC",
    "4": "B-SEX",
    "5": "B-STAT",
    "6": "I-DATE",
    "7": "I-EPI",
    "8": "I-ETHN",
    "9": "I-LOC",
    "10": "I-SEX",
    "11": "I-STAT",
    "12": "O"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "B-DATE": 0,
    "B-EPI": 1,
    "B-ETHN": 2,
    "B-LOC": 3,
    "B-SEX": 4,
    "B-STAT": 5,
    "I-DATE": 6,
    "I-EPI": 7,
    "I-ETHN": 8,
    "I-LOC": 9,
    "I-SEX": 10,
    "I-STAT": 11,
    "O": 12
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.12.5",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 58996
}