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In this paper, we describe the team \textit{BRUMS} entry to OffensEval 2:Multilingual Offensive Language Identification in Social Media in SemEval-2020.The OffensEval organizers provided participants with annotated datasetscontaining posts from social media in Arabic, Danish, English, Greek andTurkish. We present a multilingual deep learning model to identify offensivelanguage in social media. Overall, the approach achieves acceptable evaluationscores, while maintaining flexibility between languages.

BRUMS at SemEval-2020 Task 12 : Transformer based Multilingual Offensive Language Identification in Social Media