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@@ -12,6 +12,28 @@ metrics:
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  base_model:
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  - albert/albert-large-v2
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  pipeline_tag: text-classification
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Sentiment classification using Albert-large-v2
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  base_model:
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  - albert/albert-large-v2
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  pipeline_tag: text-classification
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+ model-index:
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+ - name: SandeepVvigneshwar/sentiment-classification-albert-large-v2
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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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+ metrics:
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+ - type: accuracy
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+ value: 0.9431
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+ name: Accuracy
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+ - type: precision
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+ value: 0.9499
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+ name: Precision
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+ - type: recall
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+ value: 0.9431
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+ name: Recall
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+ - type: f1
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+ value: 0.9439
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+ name: F1
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+ - type: loss
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+ value: 0.08795
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+ name: Loss
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  ---
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  # Sentiment classification using Albert-large-v2
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