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autoevaluate
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binary-classification

Text Classification
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distilbert
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Test update

#85
by lewtun HF Staff - opened
base: refs/heads/main
←
from: refs/pr/85
Discussion Files changed
+60
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Files changed (1) hide show
  1. README.md +60 -26
README.md CHANGED
@@ -10,53 +10,87 @@ model-index:
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  - name: autoevaluate-binary-classification
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  results:
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  - task:
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- name: Text Classification
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  type: text-classification
 
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  dataset:
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  name: glue
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  type: glue
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  args: sst2
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  metrics:
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- - name: Accuracy
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- type: accuracy
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  value: 0.8967889908256881
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- - task:
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- type: text-classification
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- name: Text Classification
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- dataset:
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- name: glue
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- type: glue
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- config: sst2
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- split: validation
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- metrics:
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- - name: Accuracy
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- type: accuracy
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  value: 0.8967889908256881
 
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  verified: true
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- - name: Precision
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- type: precision
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  value: 0.8898678414096917
 
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  verified: true
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- - name: Recall
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- type: recall
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  value: 0.9099099099099099
 
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  verified: true
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- - name: AUC
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- type: auc
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  value: 0.967247621453229
 
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  verified: true
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- - name: F1
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- type: f1
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  value: 0.8997772828507795
 
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  verified: true
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- - name: loss
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- type: loss
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  value: 0.30091655254364014
 
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  verified: true
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- - name: matthews_correlation
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- type: matthews_correlation
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  value: 0.793630584795814
 
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  verified: true
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
10
  - name: autoevaluate-binary-classification
11
  results:
12
  - task:
 
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  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
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+ verifyToken: '1234'
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+ - type: accuracy
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+ value: 0.8967889908256881
26
+ name: Accuracy
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+ verified: true
28
+ verifyToken: '1234'
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+ - type: precision
30
+ value: 0.8898678414096917
31
+ name: Precision
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+ verified: true
33
+ verifyToken: '1234'
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+ - type: recall
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+ value: 0.9099099099099099
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+ name: Recall
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+ verified: true
38
+ verifyToken: '1234'
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+ - type: auc
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+ value: 0.967247621453229
41
+ name: AUC
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+ verified: true
43
+ verifyToken: '1234'
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+ - type: f1
45
+ value: 0.8997772828507795
46
+ name: F1
47
+ verified: true
48
+ verifyToken: '1234'
49
+ - type: loss
50
+ value: 0.30091655254364014
51
+ name: loss
52
+ verified: true
53
+ verifyToken: '1234'
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+ - type: matthews_correlation
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+ value: 0.793630584795814
56
+ name: matthews_correlation
57
+ verified: true
58
+ verifyToken: '1234'
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+ - type: accuracy
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  value: 0.8967889908256881
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+ name: Accuracy
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  verified: true
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+ verifyToken: '1234'
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+ - type: precision
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  value: 0.8898678414096917
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+ name: Precision
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  verified: true
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+ verifyToken: '1234'
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+ - type: recall
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  value: 0.9099099099099099
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+ name: Recall
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  verified: true
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+ verifyToken: '1234'
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+ - type: auc
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  value: 0.967247621453229
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+ name: AUC
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  verified: true
78
+ verifyToken: '1234'
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+ - type: f1
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  value: 0.8997772828507795
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+ name: F1
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  verified: true
83
+ verifyToken: '1234'
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+ - type: loss
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  value: 0.30091655254364014
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+ name: loss
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  verified: true
88
+ verifyToken: '1234'
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+ - type: matthews_correlation
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  value: 0.793630584795814
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+ name: matthews_correlation
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  verified: true
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+ verifyToken: '1234'
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  ---
95
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You