Why is my validation loss never INcreasing?

I am currently training different neural networks for the binary classification of images. When using the logistic regression, my validation loss never increases, even not after 5000 epochs. I thought that at some point overfitting happens and the validation loss always increases. Does anybody know why this does not happen?