textattack/xlnet-base-cased-STS-B

The model was fine-tuned for sequence classification using TextAttack and the glue dataset loaded using the nlp library . The best score the model achieved on this task was 0.8892630070017784, as measured by the eval set pearson correlation, found after 4 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-cardio.org/ . The cardio-Cardio is based on TextAttack’s xlnet-base-cased model and a glue dataset that was loaded with the,