textattack/bert-base-uncased-rotten_tomatoes

The model was fine-tuned with TextAttack on the rotten_tomatoes dataset . It was trained with a cross-entropy loss function . The best score the model achieved on this task was 0.875234521575985, as measured by the eval set accuracy, found after 4 epochs . For more information, check out [TextAttack on Github] on the [QData/TextAttack] page . Back to the page you came from: http://www.qData.com/QData-Report-Data-Research-Report: Q&Report-Report/Q&Report/Report-Research/Report/Search-Report_Report-Back-,