| ## TextAttack Model Card | |
| This `distilbert` model was fine-tuned using TextAttack. The model was fine-tuned | |
| for 3 epochs with a batch size of 8, | |
| a maximum sequence length of 512, and an initial learning rate of 3e-05. | |
| 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 0.937, as measured by the | |
| eval set accuracy, found after 3 epochs. | |
| For more information, check out [TextAttack on Github](https://github.com/QData/TextAttack). | |