Hugging Face's logo

scienceverse
/
bibr-section-classifier

Safetensors
Model card Files
xet
 Community
bibr-section-classifier
File size: 2,502 Bytes
9691127
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
{
  "abstract": {
    "f1-score": 1.0,
    "precision": 1.0,
    "recall": 1.0,
    "support": 388.0
  },
  "accuracy": 0.9930157593123209,
  "acknowledgment": {
    "f1-score": 0.9958847736625515,
    "precision": 1.0,
    "recall": 0.9918032786885246,
    "support": 244.0
  },
  "author_contributions": {
    "f1-score": 0.9710144927536232,
    "precision": 0.9710144927536232,
    "recall": 0.9710144927536232,
    "support": 69.0
  },
  "coi": {
    "f1-score": 0.971830985915493,
    "precision": 0.9857142857142858,
    "recall": 0.9583333333333334,
    "support": 72.0
  },
  "discussion": {
    "f1-score": 0.9896519285042333,
    "precision": 0.9868667917448405,
    "recall": 0.9924528301886792,
    "support": 530.0
  },
  "endnote": {
    "f1-score": 0.9929446713702191,
    "precision": 0.9896373056994818,
    "recall": 0.996274217585693,
    "support": 1342.0
  },
  "ethics": {
    "f1-score": 0.9808917197452229,
    "precision": 1.0,
    "recall": 0.9625,
    "support": 160.0
  },
  "funding": {
    "f1-score": 0.9964664310954063,
    "precision": 0.9964664310954063,
    "recall": 0.9964664310954063,
    "support": 283.0
  },
  "intro": {
    "f1-score": 0.9984917043740573,
    "precision": 0.9969879518072289,
    "recall": 1.0,
    "support": 331.0
  },
  "keywords": {
    "f1-score": 1.0,
    "precision": 1.0,
    "recall": 1.0,
    "support": 286.0
  },
  "macro avg": {
    "f1-score": 0.9896559151772297,
    "precision": 0.990745651057533,
    "recall": 0.9886625840013419,
    "support": 5584.0
  },
  "method": {
    "f1-score": 0.9873417721518988,
    "precision": 0.9811320754716981,
    "recall": 0.9936305732484076,
    "support": 157.0
  },
  "open_data": {
    "f1-score": 0.9726027397260274,
    "precision": 0.9726027397260274,
    "recall": 0.9726027397260274,
    "support": 73.0
  },
  "references": {
    "f1-score": 1.0,
    "precision": 1.0,
    "recall": 1.0,
    "support": 345.0
  },
  "results": {
    "f1-score": 0.9895470383275261,
    "precision": 0.9793103448275862,
    "recall": 1.0,
    "support": 142.0
  },
  "title": {
    "f1-score": 0.998661311914324,
    "precision": 0.9973262032085561,
    "recall": 1.0,
    "support": 373.0
  },
  "unknown": {
    "f1-score": 0.9891650732950924,
    "precision": 0.9948717948717949,
    "recall": 0.9835234474017744,
    "support": 789.0
  },
  "weighted avg": {
    "f1-score": 0.9930047754292499,
    "precision": 0.9930450267296388,
    "recall": 0.9930157593123209,
    "support": 5584.0
  }
}