Before revision:  Experiments on GLUE benchmark and NER task show that our adversarial training strategy improves the performances on various tasks including text classification and sequence labeling .
After revision:  Experiments on GLUE benchmark and NER task show that our method improves the performance of pre-trained models such as BERT and ALBERT in various tasks by a considerable margin. The proposed method improves the score of the GLUE benchmark from 78.3 to 80.9 using BERT model and it also enhances the performance of sequence labeling and text classification tasks .