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@@ -83,6 +83,59 @@ model-index:
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  type: loss
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  value: 0.32714536786079407
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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
 
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  type: loss
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  value: 0.32714536786079407
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  verified: true
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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: validation
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.938
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+ verified: true
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+ - name: Precision Macro
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+ type: precision
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+ value: 0.9281100797474869
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+ verified: true
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+ - name: Precision Micro
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+ type: precision
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+ value: 0.938
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+ verified: true
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+ - name: Precision Weighted
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+ type: precision
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+ value: 0.9376891512759605
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+ verified: true
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+ - name: Recall Macro
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+ type: recall
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+ value: 0.9029821552608664
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+ verified: true
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+ - name: Recall Micro
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+ type: recall
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+ value: 0.938
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+ verified: true
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+ - name: Recall Weighted
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+ type: recall
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+ value: 0.938
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+ verified: true
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+ - name: F1 Macro
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+ type: f1
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+ value: 0.9147207975135915
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+ verified: true
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+ - name: F1 Micro
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+ type: f1
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+ value: 0.938
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+ verified: true
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+ - name: F1 Weighted
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+ type: f1
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+ value: 0.9373403463117288
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+ verified: true
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+ - name: loss
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+ type: loss
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+ value: 0.23682540655136108
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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