jind11 / TextFooler

A Model for Natural Language Attack on Text Classification and Inference
MIT License
485 stars 79 forks source link

Evaluation on AGnews #62

Closed MT010104 closed 1 year ago

MT010104 commented 1 year ago

Hi, thank you for your work. However, I have encountered some issues while reproducing the code. The accuracy of AGnews on the BERT model is only 19%. I initially thought it was because the data provided by you was attacked, but I found that the accuracy of the original data is also only 19%. I made minimal changes to the code.