textattack/xlnet-base-cased-imdb

The best score the model achieved on this task was 0.95352, as measured by the eval set accuracy, found after 2 epochs . The model was fine-tuned for 5 epochs with a batch size of 32, a learning rate of 2e-05, and a maximum sequence length of 512 . For more information, check out TextAttack on Github and the nlp library on the TextAttack app for the latest version of this article . It is based on the original version of TextAttack and the imdb dataset from the original TextAttack. It is now available to download and use for the most recent version of the app on iOS iOS and Android. It,