Update README.md

README.md

@@ -101,7 +101,7 @@ The model was pre-trained continuously on a single A10G GPU in an AWS instance f
 <br> There could be two reasons for this:
 
    - There is still room for improving the quality of the data.
-   - It's seen that we still do not have enough data for generalization as Transformer models only perform well with large amounts of pre-trained data compared with Classical Sequential Models.
+   - We still do not have enough data for generalization as Transformer models only perform well with large amounts of pre-trained data compared with Classical Sequential Models.
 
 #### Authors: