Update README.md

README.md

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 A trained QE model for [IMPARA](https://aclanthology.org/2022.coling-1.316), a reference-less performance measure for GEC task.
 
-This model achieves 95.93 for Pearson's correlation and 93.01 for Spearman's, for [Grundkiewicz +15](https://aclanthology.org/D15-1052/)'s Expected Wins score (Note that `bert-base-cased` for SE model).
+This model achieves 95.93 for Pearson's correlation and 93.01 for Spearman's, for [Grundkiewicz +15](https://aclanthology.org/D15-1052/)'s Expected Wins score (Note that `bert-base-cased` is used for SE model).
 
 You can see the detail in [this GitHub repository](https://github.com/gotutiyan/IMPARA), e.g. How to use this model.