textattack/roberta-base-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 0.910869696741479216, as measured by the eval set pearson correlation, found after 4 epochs . The model had a learning rate of 2e-05 and a maximum sequence length of 128 . For more information, check out TextAttack on Github and the model is available at http://://www.textAttack.org//glues-loaded-to-the-test-test/gave-a-textAttack-model-training-gasp-model. The,