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We present the findings of our participation in the SemEval-2023 Task 10:Explainable Detection of Online Sexism (EDOS) task, a shared task on offensivelanguage (sexism) detection on English Gab and Reddit dataset. We investigatedthe effects of transferring two language models: XLM-T (sentimentclassification) and HateBERT (same domain -- Reddit) for multi-levelclassification into Sexist or not Sexist, and other subsequentsub-classifications of the sexist data. We also use synthetic classification ofunlabelled dataset and intermediary class information to maximize theperformance of our models. We submitted a system in Task A, and it ranked 49thwith F1-score of 0.82. This result showed to be competitive as it onlyunder-performed the best system by 0.052% F1-score.

HausaNLP at SemEval-2023 Task 10: Transfer Learning, Synthetic Data and Side-Information for Multi-Level Sexism Classification