textattack/distilbert-base-uncased-CoLA

TextAttack Model Cardand the glue dataset loaded using the nlp library. The model was fine-tuned

for 5 epochs with a batch size of 64, a learning rate of 3e-05, and a maximum sequence length of 128. Since this was a classification task, the model was trained with a cross-entropy loss function. The best score the model achieved on this task was 0.8235858101629914, as measured by the eval set accuracy, found after 2 epochs.

For more information, check out TextAttack on Github.