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## TextAttack Model
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This `roberta-base` model was fine-tuned for sequence classification using TextAttack
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and the ag_news dataset loaded using the `nlp` library. The model was fine-tuned
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for 5 epochs with a batch size of 16, a learning
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rate of 5e-05, and a maximum sequence length of 128.
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## TextAttack Model CardThis `roberta-base` model was fine-tuned for sequence classification using TextAttack
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and the ag_news dataset loaded using the `nlp` library. The model was fine-tuned
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for 5 epochs with a batch size of 16, a learning
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rate of 5e-05, and a maximum sequence length of 128.
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