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The outbreak COVID-19 virus caused a significant impact on the health ofpeople all over the world. Therefore, it is essential to have a piece ofconstant and accurate information about the disease with everyone. This paperdescribes our prediction system for WNUT-2020 Task 2: Identification ofInformative COVID-19 English Tweets. The dataset for this task contains size10,000 tweets in English labeled by humans. The ensemble model from our threetransformer and deep learning models is used for the final prediction. Theexperimental result indicates that we have achieved F1 for the INFORMATIVElabel on our systems at 88.81% on the test set.

BANANA at WNUT-2020 Task 2: Identifying COVID-19 Information on Twitter by Combining Deep Learning and Transfer Learning Models