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bert-base-uncased-emotion

Text Classification
Transformers
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bert
emotion
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text-embeddings-inference
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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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- | Bert-base-uncased | 94.05 | 94.06 | 0.1577 | 190.152 |
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- | Roberta-base | 93.95 | 93.97 | 0.1437 | 195.639 |
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  ## How to Use the model:
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  ```python
 
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  ## Model Performance Comparision on Emotion Dataset from Twitter:
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+ | Model | Accuracy | F1 Score | Test Sample per Second |
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+ | --- | --- | --- | --- |
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+ | Distilbert-base-uncased | 93.8 | 93.79 | 398.69 |
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+ | Bert-base-uncased | 94.05 | 94.06 | 190.152 |
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+ | Roberta-base | 93.95 | 93.97| 195.639 |
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  ## How to Use the model:
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  ```python