Update README.md

README.md

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 An mDeBERTa-v3 model trained on English Language News articles by the Executive Approval Project team. This model is trained to detect whether a sequence contains either conflict between
 political actors, or criticism directed towards a political actor or their policies.
 
-The model was trained for 8 epochs and returned a test-set accuracy of .897 and a balanced accuracy (accounting for the imbalance in the test set, where ~.77 of sequences did not contain conflict))
+The model was trained for 8 epochs and returned a test-set accuracy of .897 and a balanced accuracy (accounting for the imbalance in the test set, where ~.77 of sequences did not contain conflict)
 of .827.