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- ## TextAttack Model CardThis `roberta-base` model was fine-tuned for sequence classification using TextAttack
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- and the glue dataset loaded using the `nlp` library. The model was fine-tuned
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  for 5 epochs with a batch size of 32, a learning
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  rate of 2e-05, and a maximum sequence length of 128.
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  Since this was a classification task, the model was trained with a cross-entropy loss function.
 
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+ ## TextAttack Model Cardand the glue dataset loaded using the `nlp` library. The model was fine-tuned
 
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  for 5 epochs with a batch size of 32, a learning
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  rate of 2e-05, and a maximum sequence length of 128.
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  Since this was a classification task, the model was trained with a cross-entropy loss function.