File size: 1,282 Bytes
b2bd158
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
{
  "_name_or_path": "bert-base-chinese",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "directionality": "bidi",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "\u6703\u54e1\u767b\u5165",
    "1": "\u641c\u5c0b\u529f\u80fd",
    "2": "\u5546\u54c1\u76f8\u95dc",
    "3": "\u7d50\u5e33\u4ed8\u6b3e",
    "4": "\u5ba2\u6236\u670d\u52d9",
    "5": "\u5176\u4ed6"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "\u5176\u4ed6": 5,
    "\u5546\u54c1\u76f8\u95dc": 2,
    "\u5ba2\u6236\u670d\u52d9": 4,
    "\u641c\u5c0b\u529f\u80fd": 1,
    "\u6703\u54e1\u767b\u5165": 0,
    "\u7d50\u5e33\u4ed8\u6b3e": 3
  },
  "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": "4.48.3",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 21128
}