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README.md
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@@ -61,5 +61,12 @@ follow the above notebook by changing the model name to robert
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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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## 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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