textattack/roberta-base-rotten_tomatoes

The model was fine-tuned with TextAttack on the rotten_tomatoes dataset . It was trained with a cross-entropy loss function and a learning rate of 5e-05 . The best score the model achieved on this task was 0.903377771106941839, as measured by the eval set accuracy, found after 9 epochs . For more information, check out [TextAttack] on Github [https://://://github.com/QData/TextAttack) and read the original article on this blog post: http://www.qData/textAttack-a-Report-Attack-Research-Research.com. For more info, visit,