textattack/bert-base-uncased-rotten-tomatoes

The best score the model achieved on this task was 0.875234521575985, as measured by the eval set accuracy, found after 4 epochs . The model was fine-tuned for 10 epochs with a batch size of 16, a learning rate of 2e-05, and a maximum sequence length of 128 . For more information, check out [TextAttack on Github], or visit http://://://github.com/QData/TextAttack/textAttack-a-Model-Rotten-tomatoes-and-Rent-Tomatoes-Dirtatoes-Data-Data/Rent_Tomatoes/RottenTomatoes .,