  Detecting emotions in languages is important to accomplish a complete
interaction between humans and machines. This paper describes our contribution
to the WASSA 2022 shared task which handles this crucial task of emotion
detection. We have to identify the following emotions: sadness, surprise,
neutral, anger, fear, disgust, joy based on a given essay text. We are using an
ensemble of ELECTRA and BERT models to tackle this problem achieving an F1
score of $62.76\%$. Our codebase (https://bit.ly/WASSA_shared_task) and our
WandB project (https://wandb.ai/acl_wassa_pictxmanipal/acl_wassa) is publicly
available.
