Create README.md

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))
of .827.

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))
+of .827.