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We describe our straight-forward approach for Tasks 5 and 6 of 2021 SocialMedia Mining for Health Applications (SMM4H) shared tasks. Our system is basedon fine-tuning Distill- BERT on each task, as well as first fine-tuning themodel on the other task. We explore how much fine-tuning is necessary foraccurately classifying tweets as containing self-reported COVID-19 symptoms(Task 5) or whether a tweet related to COVID-19 is self-reporting, non-personalreporting, or a literature/news mention of the virus (Task 6).

Fine-Tuning Transformers for Identifying Self-Reporting Potential Cases and Symptoms of COVID-19 in Tweets