Hugging Face's logo

autoevaluate
/
binary-classification

Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
127

Test update

#68
by lewtun HF staff - opened
base: refs/heads/main
←
from: refs/pr/68
Discussion Files changed
+45
-26
Files changed (1) hide show
  1. README.md +45 -26
README.md CHANGED
@@ -10,52 +10,71 @@ model-index:
10
  - name: autoevaluate-binary-classification
11
  results:
12
  - task:
13
- name: Text Classification
14
  type: text-classification
 
15
  dataset:
16
  name: glue
17
  type: glue
18
  args: sst2
19
  metrics:
20
- - name: Accuracy
21
- type: accuracy
22
  value: 0.8967889908256881
23
- - task:
24
- type: text-classification
25
- name: Text Classification
26
- dataset:
27
- name: glue
28
- type: glue
29
- config: sst2
30
- split: validation
31
- metrics:
32
- - name: Accuracy
33
- type: accuracy
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
34
  value: 0.8967889908256881
 
35
  verified: true
36
- - name: Precision
37
- type: precision
38
  value: 0.8898678414096917
 
39
  verified: true
40
- - name: Recall
41
- type: recall
42
  value: 0.9099099099099099
 
43
  verified: true
44
- - name: AUC
45
- type: auc
46
  value: 0.967247621453229
 
47
  verified: true
48
- - name: F1
49
- type: f1
50
  value: 0.8997772828507795
 
51
  verified: true
52
- - name: loss
53
- type: loss
54
  value: 0.30091655254364014
 
55
  verified: true
56
- - name: matthews_correlation
57
- type: matthews_correlation
58
  value: 0.793630584795814
 
59
  verified: true
60
  ---
61
 
 
10
  - name: autoevaluate-binary-classification
11
  results:
12
  - task:
 
13
  type: text-classification
14
+ name: Text Classification
15
  dataset:
16
  name: glue
17
  type: glue
18
  args: sst2
19
  metrics:
20
+ - type: accuracy
 
21
  value: 0.8967889908256881
22
+ name: Accuracy
23
+ - type: accuracy
24
+ value: 0.8967889908256881
25
+ name: Accuracy
26
+ verified: true
27
+ - type: precision
28
+ value: 0.8898678414096917
29
+ name: Precision
30
+ verified: true
31
+ - type: recall
32
+ value: 0.9099099099099099
33
+ name: Recall
34
+ verified: true
35
+ - type: auc
36
+ value: 0.967247621453229
37
+ name: AUC
38
+ verified: true
39
+ - type: f1
40
+ value: 0.8997772828507795
41
+ name: F1
42
+ verified: true
43
+ - type: loss
44
+ value: 0.30091655254364014
45
+ name: loss
46
+ verified: true
47
+ - type: matthews_correlation
48
+ value: 0.793630584795814
49
+ name: matthews_correlation
50
+ verified: true
51
+ - type: accuracy
52
  value: 0.8967889908256881
53
+ name: Accuracy
54
  verified: true
55
+ - type: precision
 
56
  value: 0.8898678414096917
57
+ name: Precision
58
  verified: true
59
+ - type: recall
 
60
  value: 0.9099099099099099
61
+ name: Recall
62
  verified: true
63
+ - type: auc
 
64
  value: 0.967247621453229
65
+ name: AUC
66
  verified: true
67
+ - type: f1
 
68
  value: 0.8997772828507795
69
+ name: F1
70
  verified: true
71
+ - type: loss
 
72
  value: 0.30091655254364014
73
+ name: loss
74
  verified: true
75
+ - type: matthews_correlation
 
76
  value: 0.793630584795814
77
+ name: matthews_correlation
78
  verified: true
79
  ---
80