textattack/distilbert-base-cased-snli

The best score the model achieved on this task was 0.8768542979069295, as measured by the eval set accuracy, found after 2 epochs . The model was fine-tuned for sequence classification using TextAttack and the snli dataset loaded using the `nlp` library . For more information, check out [TextAttack] on Github [https://://://github.com/QData/TextAttack]. For more info, visit the site of TextAttack on Github: http://www.textAttack.org/report/textAttack-a-model-test-test/test-training-model. For more details, visit TextAttack.,