textattack/distilbert-base-uncased-WNLI

The best score the model achieved on this task was 0.5633802816901409, as measured by the eval set accuracy, found after 0 epoch . The model was fine-tuned for 5 epochs with a batch size of 128, a learning rate of 2e-05, and a maximum sequence length of 256 . Since this was a classification task, the model was trained with a cross-entropy loss function . For more information, check out TextAttack on Github and the nlp library on the TextAttack app for iOS and Android versions of TextAttack and Android apps for iOS, Android, iOS and iOS versions of Android, Android and iOS OSOS,