File size: 1,416 Bytes
e198358
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
49
50
51
52
53
54
55
56
57
58
59
{
  "_name_or_path": "AutoTrain",
  "_num_labels": 9,
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "directionality": "bidi",
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "id2label": {
    "0": "COMPANY_FIT",
    "1": "COMPENSATION",
    "2": "MAKING_REFERRAL",
    "3": "MISCLASSIFICATION",
    "4": "OTHER",
    "5": "REMOTE_POLICY",
    "6": "ROLE_FIT",
    "7": "TIMING",
    "8": "VISA"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "COMPANY_FIT": 0,
    "COMPENSATION": 1,
    "MAKING_REFERRAL": 2,
    "MISCLASSIFICATION": 3,
    "OTHER": 4,
    "REMOTE_POLICY": 5,
    "ROLE_FIT": 6,
    "TIMING": 7,
    "VISA": 8
  },
  "layer_norm_eps": 1e-12,
  "max_length": 96,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "pad_token_id": 0,
  "padding": "max_length",
  "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",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.20.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 28996
}