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multi-class-classification

Text Classification Transformers PyTorch TensorBoard
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  1. README.md +29 -36
README.md CHANGED
@@ -9,17 +9,6 @@ metrics:
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  model-index:
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  - name: multi-class-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: emotion
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- type: emotion
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- args: default
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- metrics:
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- - name: Accuracy
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- type: accuracy
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- value: 0.928
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  - task:
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  type: text-classification
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  name: Text Classification
@@ -29,53 +18,57 @@ model-index:
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  config: default
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  split: test
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  metrics:
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- - name: Accuracy
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- type: accuracy
 
 
 
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  value: 0.9185
 
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  verified: true
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- - name: Precision Macro
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- type: precision
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  value: 0.8738350796775306
 
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  verified: true
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- - name: Precision Micro
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- type: precision
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  value: 0.9185
 
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  verified: true
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- - name: Precision Weighted
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- type: precision
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  value: 0.9179425177997311
 
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  verified: true
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- - name: Recall Macro
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- type: recall
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  value: 0.8650962919021573
 
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  verified: true
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- - name: Recall Micro
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- type: recall
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  value: 0.9185
 
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  verified: true
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- - name: Recall Weighted
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- type: recall
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  value: 0.9185
 
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  verified: true
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- - name: F1 Macro
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- type: f1
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  value: 0.8692821860210945
 
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  verified: true
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- - name: F1 Micro
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- type: f1
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  value: 0.9185
 
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  verified: true
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- - name: F1 Weighted
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- type: f1
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  value: 0.9181177508591364
 
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  verified: true
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- - name: loss
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- type: loss
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- value: 0.20905950665473938
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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: 0.8920254536671932
 
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  verified: true
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  ---
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  model-index:
10
  - name: multi-class-classification
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  results:
 
 
 
 
 
 
 
 
 
 
 
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  - task:
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  type: text-classification
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  name: Text Classification
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  config: default
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  split: test
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  metrics:
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+ - type: accuracy
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+ value: 0.9185
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+ name: Accuracy
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+ verified: true
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+ - type: accuracy
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  value: 0.9185
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+ name: Accuracy
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  verified: true
29
+ - type: precision
 
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  value: 0.8738350796775306
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+ name: Precision Macro
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  verified: true
33
+ - type: precision
 
34
  value: 0.9185
35
+ name: Precision Micro
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  verified: true
37
+ - type: precision
 
38
  value: 0.9179425177997311
39
+ name: Precision Weighted
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  verified: true
41
+ - type: recall
 
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  value: 0.8650962919021573
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+ name: Recall Macro
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  verified: true
45
+ - type: recall
 
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  value: 0.9185
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+ name: Recall Micro
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  verified: true
49
+ - type: recall
 
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  value: 0.9185
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+ name: Recall Weighted
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  verified: true
53
+ - type: f1
 
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  value: 0.8692821860210945
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+ name: F1 Macro
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  verified: true
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+ - type: f1
 
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  value: 0.9185
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+ name: F1 Micro
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  verified: true
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+ - type: f1
 
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  value: 0.9181177508591364
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+ name: F1 Weighted
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  verified: true
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+ - type: loss
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+ value: 0.20907790958881378
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+ name: loss
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  verified: true
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+ - type: matthews_correlation
 
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  value: 0.8920254536671932
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+ name: matthews_correlation
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  verified: true
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  ---
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