Update README.md

README.md

@@ -126,8 +126,6 @@ In other words, each example occupies the full input sequence length.
 # Performance
 
 For testing, we reserved the translated datasets MRPC (similarity) and RTE (inference), from GLUE, and COPA (reasoning/qa), from SuperGLUE, which were taking as representatives of three major types of tasks, and were not seen during training.
-We also employ data augmentation techniques to enhance the size and diversity of our dataset.
-This involves repurposing the tasks in various ways, such as generation of answers from MultiRC, question generation from BoolQ, and other relevant modifications.
 
 
 | Model                    | MRPC (F1)      | RTE (F1)       | COPA (F1) |