  In this paper, we tackle the Nuanced Arabic Dialect Identification (NADI)
shared task (Abdul-Mageed et al., 2021) and demonstrate state-of-the-art
results on all of its four subtasks. Tasks are to identify the geographic
origin of short Dialectal (DA) and Modern Standard Arabic (MSA) utterances at
the levels of both country and province. Our final model is an ensemble of
variants built on top of MARBERT that achieves an F1-score of 34.03% for DA at
the country-level development set -- an improvement of 7.63% from previous
work.
