This model was fine-tuned using TextAttack. The model was fine-tuned
for 10 epochs with a batch size of 16,
and an initial learning rate of 0.0002.
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 0.8767, as measured by the
eval set accuracy, found after 3 epochs.
For more information, check out [TextAttack on Github](https://github.com/QData/TextAttack).
