You are training a neural network and after $100$ epochs, the training error is $0\mathrm{.}02$ and the validation error is $0\mathrm{.}05.$ If you continue training for $50$ more epochs, and the training error decreases to $0\mathrm{.}015$ but the validation error increases to $0\mathrm{.}07,$ what might be happening?

$$ The network is correctly fitting

$$ The network's learning rate is too low

$$ The network is overfitting

$$ The network is underfitting