Hugging Face's logo

AITeamUIT
/
gliner2-ner-conll2003-stack

Safetensors
extractor
Model card Files
xet
 Community
gliner2-ner-conll2003-stack
File size: 1,983 Bytes
e2a2aab
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
{
  "lenient": {
    "overall": {
      "micro_precision": 0.9134,
      "micro_recall": 0.9097,
      "micro_f1": 0.9116,
      "macro_precision": 0.8989,
      "macro_recall": 0.9017,
      "macro_f1": 0.8999,
      "macro_weighted_precision": 0.9155,
      "macro_weighted_recall": 0.9097,
      "macro_weighted_f1": 0.9123,
      "weighted_precision": 0.9155,
      "weighted_recall": 0.9097,
      "weighted_f1": 0.9123,
      "support": 5648,
      "n_labels": 4
    },
    "by_language": {
      "en": {
        "micro_precision": 0.9134,
        "micro_recall": 0.9097,
        "micro_f1": 0.9116,
        "macro_precision": 0.8989,
        "macro_recall": 0.9017,
        "macro_f1": 0.8999,
        "macro_weighted_precision": 0.9155,
        "macro_weighted_recall": 0.9097,
        "macro_weighted_f1": 0.9123,
        "weighted_precision": 0.9155,
        "weighted_recall": 0.9097,
        "weighted_f1": 0.9123,
        "support": 5648,
        "n_labels": 4
      }
    }
  },
  "strict": {
    "overall": {
      "micro_precision": 0.8971,
      "micro_recall": 0.8934,
      "micro_f1": 0.8952,
      "macro_precision": 0.8785,
      "macro_recall": 0.8807,
      "macro_f1": 0.8792,
      "macro_weighted_precision": 0.8995,
      "macro_weighted_recall": 0.8934,
      "macro_weighted_f1": 0.8962,
      "weighted_precision": 0.8995,
      "weighted_recall": 0.8934,
      "weighted_f1": 0.8962,
      "support": 5648,
      "n_labels": 4
    },
    "by_language": {
      "en": {
        "micro_precision": 0.8971,
        "micro_recall": 0.8934,
        "micro_f1": 0.8952,
        "macro_precision": 0.8785,
        "macro_recall": 0.8807,
        "macro_f1": 0.8792,
        "macro_weighted_precision": 0.8995,
        "macro_weighted_recall": 0.8934,
        "macro_weighted_f1": 0.8962,
        "weighted_precision": 0.8995,
        "weighted_recall": 0.8934,
        "weighted_f1": 0.8962,
        "support": 5648,
        "n_labels": 4
      }
    }
  }
}