config.json

{
  "_name_or_path": "bert-large-uncased",
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "id2label": {
    "0": "O",
    "1": "B-m",
    "2": "B-mo",
    "3": "B-do",
    "4": "I-do",
    "5": "B-r",
    "6": "I-f",
    "7": "I-mo",
    "8": "B-du",
    "9": "I-r",
    "10": "I-du",
    "11": "I-m",
    "12": "B-f"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "B-do": 3,
    "B-du": 8,
    "B-f": 12,
    "B-m": 1,
    "B-mo": 2,
    "B-r": 5,
    "I-do": 4,
    "I-du": 10,
    "I-f": 6,
    "I-m": 11,
    "I-mo": 7,
    "I-r": 9,
    "O": 0
  },
  "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",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}