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.