config.json

{
  "_name_or_path": "ckiplab/albert-base-chinese",
  "architectures": [
    "AlbertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0,
  "bos_token_id": 101,
  "classifier_dropout_prob": 0.1,
  "down_scale_factor": 1,
  "embedding_size": 128,
  "eos_token_id": 102,
  "gap_size": 0,
  "hidden_act": "relu",
  "hidden_dropout_prob": 0,
  "hidden_size": 768,
  "id2label": {
    "0": "B-GORG",
    "1": "B-LOC",
    "2": "B-ORG",
    "3": "B-PER",
    "4": "I-GORG",
    "5": "I-LOC",
    "6": "I-ORG",
    "7": "I-PER",
    "8": "O"
  },
  "initializer_range": 0.02,
  "inner_group_num": 1,
  "intermediate_size": 3072,
  "label2id":  {
    "B-GORG": "0",
    "B-LOC": "1",
    "B-ORG": "2",
    "B-PER": "3",
    "I-GORG": "4",
    "I-LOC": "5",
    "I-ORG": "6",
    "I-PER": "7",
    "O": "8"
  },
  "layer_norm_eps": 1e-12,
  "layers_to_keep": [],
  "max_position_embeddings": 512,
  "model_type": "albert",
  "net_structure_type": 0,
  "num_attention_heads": 12,
  "num_hidden_groups": 1,
  "num_hidden_layers": 12,
  "num_memory_blocks": 0,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "tokenizer_class": "BertTokenizerFast",
  "torch_dtype": "float32",
  "transformers_version": "4.18.0",
  "type_vocab_size": 2,
  "vocab_size": 21128
}