Abstract: The SemEval 2023 shared task 10 ``Explainable Detection of Online Sexism" focuses on detecting and identifying comments and tweets containing sexist expressions and also explaining why it is sexist.This paper describes our system that we used to participate in this shared task. Our model is an ensemble of different variants of fine tuned DeBERTa models that employs a k-fold cross-validation. We have participated in the three tasks A, B and C. Our model ranked 2 nd position in tasks A, 7 th in task B and 4 th in task C.