textattack/roberta-base-rotten-tomatoes

The 'roberta-base' model was fine-tuned for sequence classification using TextAttack . The rotten_tomatoes dataset was loaded using the `nlp` library . The best score the model achieved on this task was 0.903377771106941839, as measured by the eval set accuracy, found after 2 epochs. The model was trained with a cross-entropy loss function . The model has a learning rate of 2e-05 and a maximum sequence length of 128 . For more information, check out [TextAttack on Github [https://://://github.com/QData/TextAttack] and [Rotten_Tomatoes],