Erratic changes in validation accuracy

I am training the binary classification CNN model. It is part of the self-supervised pipeline and I use it to predict whether the transformation has been applied to an image. However, I am getting erratic changes in validation accuracy and loss. Below is a graph that shows how do training and validation accuracy and loss change over the epochs

Has this happened to anyone else and could someone diagnose the problem?