Hugging Face's logo

aksern
/
ftan-2.5

Text Classification
Transformers
Safetensors
English
distilbert
moderation
filtering
offensive
clean
Eval Results (legacy)
Eval Results
text-embeddings-inference
Model card Files
xet
 Community
akaruineko commited on
Commit
004f6ad
·
verified ·
1 Parent(s): 6cc3de5

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +103 -0
README.md CHANGED
@@ -13,6 +13,109 @@ tags:
13
  - clean
14
  datasets:
15
  - akaruineko/fantastic-offensive
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
16
  ---
17
 
18
  # ftan-2.5
 
13
  - clean
14
  datasets:
15
  - akaruineko/fantastic-offensive
16
+ model-index:
17
+ - name: akaruineko/ftan-2.5
18
+ results:
19
+ - task:
20
+ type: text-classification
21
+ id: overall
22
+ dataset:
23
+ type: akaruineko/ftanch
24
+ name: FTANch
25
+ split: test
26
+ metrics:
27
+ - type: acc
28
+ value: 0.8366
29
+ name: Accuracy
30
+ - type: p
31
+ value: 0.7999
32
+ name: Precision
33
+ - type: r
34
+ value: 0.9616
35
+ name: Recall
36
+ - type: f1
37
+ value: 0.8733
38
+ name: F1-Score
39
+ - task:
40
+ type: text-classification
41
+ id: test
42
+ dataset:
43
+ type: akaruineko/ftanch
44
+ name: FTANch
45
+ split: test
46
+ metrics:
47
+ - type: acc
48
+ value: 0.8007
49
+ name: Accuracy
50
+ - type: p
51
+ value: 0.7315
52
+ name: Precision
53
+ - type: r
54
+ value: 0.9499
55
+ name: Recall
56
+ - type: f1
57
+ value: 0.8266
58
+ name: F1-Score
59
+ - task:
60
+ type: text-classification
61
+ id: test_obfuscated
62
+ dataset:
63
+ type: akaruineko/ftanch
64
+ name: FTANch
65
+ split: test
66
+ metrics:
67
+ - type: acc
68
+ value: 0.9134
69
+ name: Accuracy
70
+ - type: p
71
+ value: 0.9152
72
+ name: Precision
73
+ - type: r
74
+ value: 0.9778
75
+ name: Recall
76
+ - type: f1
77
+ value: 0.9455
78
+ name: F1-Score
79
+ - task:
80
+ type: text-classification
81
+ id: plain
82
+ dataset:
83
+ type: akaruineko/ftanch
84
+ name: FTANch
85
+ split: test
86
+ metrics:
87
+ - type: acc
88
+ value: 0.7012
89
+ name: Accuracy
90
+ - type: p
91
+ value: 0.4647
92
+ name: Precision
93
+ - type: r
94
+ value: 0.8784
95
+ name: Recall
96
+ - type: f1
97
+ value: 0.6078
98
+ name: F1-Score
99
+ - task:
100
+ type: text-classification
101
+ id: mutated
102
+ dataset:
103
+ type: akaruineko/ftanch
104
+ name: FTANch
105
+ split: test
106
+ metrics:
107
+ - type: acc
108
+ value: 0.9134
109
+ name: Accuracy
110
+ - type: p
111
+ value: 0.9152
112
+ name: Precision
113
+ - type: r
114
+ value: 0.9778
115
+ name: Recall
116
+ - type: f1
117
+ value: 0.9455
118
+ name: F1-Score
119
  ---
120
 
121
  # ftan-2.5