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  ### Limitations
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  Our best fine-tuned model only achieves 0.49 accuracy on the multilingual validation data that we create. This could be because of not-so-great quality translations, sub-optimal hyperparameters and lack of ample training.
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- Because of this, a proper limitations and bias analysis is difficult because it could be a result from the subpar performance.
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  We experiment a lot in our `Examples` section to see where the model fails and where it works well:
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  ### Limitations
2
  Our best fine-tuned model only achieves 0.49 accuracy on the multilingual validation data that we create. This could be because of not-so-great quality translations, sub-optimal hyperparameters and lack of ample training.
3
 
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+ Because of this, a proper limitations and bias analysis is difficult because it could be a result of the subpar performance.
5
 
6
  We experiment a lot in our `Examples` section to see where the model fails and where it works well:
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