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- ## bert-base-uncased fine-tuned with TextAttack on the rotten_tomatoes dataset
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-
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  This `bert-base-uncased` model was fine-tuned for sequence classificationusing TextAttack
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  and the rotten_tomatoes dataset loaded using the `nlp` library. The model was fine-tuned
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  for 10 epochs with a batch size of 16, a learning
 
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+ ## TextAttack Model Card
 
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  This `bert-base-uncased` model was fine-tuned for sequence classificationusing TextAttack
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  and the rotten_tomatoes dataset loaded using the `nlp` library. The model was fine-tuned
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  for 10 epochs with a batch size of 16, a learning