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We experiment with COVID-Twitter-BERT and RoBERTa models to identifyinformative COVID-19 tweets. We further experiment with adversarial training tomake our models robust. The ensemble of COVID-Twitter-BERT and RoBERTa obtainsa F1-score of 0.9096 (on the positive class) on the test data of WNUT-2020 Task2 and ranks 1st on the leaderboard. The ensemble of the models trained usingadversarial training also produces similar result.

NutCracker at WNUT-2020 Task 2: Robustly Identifying Informative COVID-19 Tweets using Ensembling and Adversarial Training