readme: ## TextAttack Model CardSince 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](https://github.com/QData/TextAttack).
  