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@@ -69,12 +69,5 @@ follow the above notebook by changing the model name to robert
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  ```
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- ## Model Performance Comparision on Emotion Dataset from Twitter:
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- | Model | Accuracy | F1 Score | Test Loss | Test Sample per Second |
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- | --- | --- | --- | --- | --- |
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- | Distilbert-base-uncased | 93.8 | 93.79 | 0.1472 | 398.69 |
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- | Roberta-base | 93.95 | 93.97 | 0.1437 | 195.639 |
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  ## Reference:
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  * [Natural Language Processing with Transformer By Lewis Tunstall, Leandro von Werra, Thomas Wolf](https://learning.oreilly.com/library/view/natural-language-processing/9781098103231/)
 
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  }
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  ```
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  ## Reference:
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  * [Natural Language Processing with Transformer By Lewis Tunstall, Leandro von Werra, Thomas Wolf](https://learning.oreilly.com/library/view/natural-language-processing/9781098103231/)