textattack/roberta-base-ag-news

The model was fine-tuned for sequence classification using TextAttack and the ag_news dataset loaded using the nlp library . The best score the model achieved on this task was 0.9469736842105263, as measured by the eval set accuracy, found after 4 epochs . For more information, check out TextAttack on Github and the model is available on the site of the TextAttack model card . For example, the model was trained with a cross-entropy loss function and a learning rate of 5e-05, and a maximum sequence length of 128. For example: The model achieved a score of 0.93% on the best score for this task,