TextAttack Model Cardrate of 2e-05, and a maximum sequence length of 128.

Since this was a classification task, the model was trained with a cross-entropy loss function. The best score the model achieved on this task was 0.7256317689530686, as measured by the eval set accuracy, found after 4 epochs.

For more information, check out TextAttack on Github.

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Text2text Generation