The model curve tell us two things
Accuracy - Correct predictions
Loss        -  We reduce a loss using some kind of optimization.
Training accuracy is the one telling about correct samples predicted from training set
Validation acc tells about the predictions on validations set.
Seeing your model I assume it to be trained well as it’s validation and training accuracies are comparable as well loss curves.