  Social media often acts as breeding grounds for different forms of offensive
content. For low resource languages like Tamil, the situation is more complex
due to the poor performance of multilingual or language-specific models and
lack of proper benchmark datasets. Based on this shared task, Offensive
Language Identification in Dravidian Languages at EACL 2021, we present an
exhaustive exploration of different transformer models, We also provide a
genetic algorithm technique for ensembling different models. Our ensembled
models trained separately for each language secured the first position in
Tamil, the second position in Kannada, and the first position in Malayalam
sub-tasks. The models and codes are provided.
