textattack/xlnet-base-cased-MRPC

The model was fine-tuned for sequence classification using TextAttack and the nlp library . The best score the model achieved on this task was 0.889707058823529411, as measured by the eval set accuracy, found after 2 epochs . For more information, check out TextAttack on Github and the model is available on the site of the TextAttack Cardio on http://://www.textAttack.com/cardio-cardiac-cardie-cardio.org/ . The cardio-Cardie-Cardio is based on TextAttack’s xlnet-base-cased model, and the glue dataset was loaded using the,