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bert-base-chinese-finetuned-ner

Token Classification
Transformers
PyTorch
Chinese
bert
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
1
bert-base-chinese-finetuned-ner
File size: 2,115 Bytes 
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{
  "_name_or_path": "bert-base-chinese-finetuned-ner",
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "directionality": "bidi",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "O",
    "1": "B-position",
    "10": "I-company",
    "11": "B-book",
    "12": "I-book",
    "13": "B-address",
    "14": "I-address",
    "15": "B-scene",
    "16": "I-scene",
    "17": "B-mobile",
    "18": "I-mobile",
    "19": "B-email",
    "2": "I-position",
    "20": "I-email",
    "21": "B-game",
    "22": "I-game",
    "23": "B-government",
    "24": "I-government",
    "25": "B-QQ",
    "26": "I-QQ",
    "27": "B-vx",
    "28": "I-vx",
    "3": "B-name",
    "4": "I-name",
    "5": "B-movie",
    "6": "I-movie",
    "7": "B-organization",
    "8": "I-organization",
    "9": "B-company"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-QQ": "25",
    "B-address": "13",
    "B-book": "11",
    "B-company": "9",
    "B-email": "19",
    "B-game": "21",
    "B-government": "23",
    "B-mobile": "17",
    "B-movie": "5",
    "B-name": "3",
    "B-organization": "7",
    "B-position": "1",
    "B-scene": "15",
    "B-vx": "27",
    "I-QQ": "26",
    "I-address": "14",
    "I-book": "12",
    "I-company": "10",
    "I-email": "20",
    "I-game": "22",
    "I-government": "24",
    "I-mobile": "18",
    "I-movie": "6",
    "I-name": "4",
    "I-organization": "8",
    "I-position": "2",
    "I-scene": "16",
    "I-vx": "28",
    "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,
  "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",
  "torch_dtype": "float32",
  "transformers_version": "4.27.3",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 21128
}