{
  "_name_or_path": "hfl/chinese-roberta-wwm-ext",
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "directionality": "bidi",
  "eos_token_id": 2,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "A1-B",
    "1": "A1-I",
    "2": "A2-B",
    "3": "A2-I",
    "4": "A3-B",
    "5": "A3-I",
    "6": "A4-B",
    "7": "A4-I",
    "8": "A5-B",
    "9": "A5-I",
    "10": "A6-B",
    "11": "A6-I",
    "12": "A7-B",
    "13": "A7-I",
    "14": "O"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "A1-B": 0,
    "A1-I": 1,
    "A2-B": 2,
    "A2-I": 3,
    "A3-B": 4,
    "A3-I": 5,
    "A4-B": 6,
    "A4-I": 7,
    "A5-B": 8,
    "A5-I": 9,
    "A6-B": 10,
    "A6-I": 11,
    "A7-B": 12,
    "A7-I": 13,
     "O": 14
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 1,
  "pooler_fc_size": 768,
  "pooler_num_attention_heads": 12,
  "pooler_num_fc_layers": 3,
  "pooler_size_per_head": 128,
  "pooler_type": "first_token_transform",
  "position_embedding_type": "absolute",
  "transformers_version": "4.8.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 21128
}