How large is your validation set and is the accuracy drop reproducible in this particular epoch?
To further improve your model, you could try to plot the log(loss) and see, if the training loss is decreasing, as it’s a bit hard to tell from the current plot.
If that’s not the case, you could add more aggressive data augmentation and increase the model capacity (more or bigger layers). Once your model starts to overfit, add regularization.