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Add evaluation results on emotion (#7)

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- Add evaluation results on emotion (4df6eb33830d6674b2c10863c146f2640f7bc4c2)

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  1. README.md +57 -0
README.md CHANGED
@@ -20,6 +20,63 @@ model-index:
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  - name: Accuracy
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  type: accuracy
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  value: 0.928
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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
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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
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+ dataset:
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+ name: emotion
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+ type: emotion
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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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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You