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@@ -15,8 +15,8 @@ Sentiment classifier (positive / negative) fine-tuned from `distilbert-base-unca
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  ## Results on the test set
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  | Metric | Score |
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  |---|---|
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- | Accuracy | 0.9090 |
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- | F1 | 0.9090 |
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  ## Example predictions
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  1. "Terrible experience, I want my money back." -> Negative
 
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  ## Results on the test set
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  | Metric | Score |
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  |---|---|
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+ | Accuracy | 0.8868 |
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+ | F1 | 0.89 |
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  ## Example predictions
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  1. "Terrible experience, I want my money back." -> Negative