textattack/bert-base-uncased-RTE
Textattack/bert-base-uncased-RTE is machine learning model.
About textattack/bert-base-uncased-RTE
The model was fine-tuned for sequence classification using TextAttack and the nlp library . The best score the model achieved on this task was 0.7256317689530686, 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, and the cardio is available in the public on iOS and Android versions of TextAttack, and on iOS iOS iOS versions, as well as Android iOS and iOS OSOS versions, using iOS iOS, Android iOS, iOS iOS software and Android OSOS software, and Android iOS versions of iOS iOS and,