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@@ -30,15 +30,6 @@ It achieves the following results on the evaluation set:
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  More information needed
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- ## Intended uses & limitations
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- More information needed
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- ## Training and evaluation data
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- More information needed
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- ## Training procedure
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  ### Training hyperparameters
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  | 0.0462 | 7.0 | 6279 | 0.2149 | 0.7447 | 0.7500 | 0.8060 | 0.8989 | 0.8989 | 0.9107 | 0.8323 |
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  | 0.0336 | 8.0 | 7176 | 0.2181 | 0.7733 | 0.7780 | 0.8221 | 0.8909 | 0.8909 | 0.9031 | 0.8400 |
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  ### Framework versions
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  - Transformers 4.28.0
 
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  More information needed
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  ### Training hyperparameters
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  | 0.0462 | 7.0 | 6279 | 0.2149 | 0.7447 | 0.7500 | 0.8060 | 0.8989 | 0.8989 | 0.9107 | 0.8323 |
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  | 0.0336 | 8.0 | 7176 | 0.2181 | 0.7733 | 0.7780 | 0.8221 | 0.8909 | 0.8909 | 0.9031 | 0.8400 |
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+ ## Environmental Impact
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+ *Carbon emissions were estimated using the [codecarbon](https://github.com/mlco2/codecarbon)*
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+ - **Hardware Type:** 16GB T4
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+ - **Hours used:** 3
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+ - **Cloud Provider:** Google Colab
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+ - **Carbon Emitted** : 0.276132
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  ### Framework versions
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  - Transformers 4.28.0