modelC is only for control, so ideally I want to train modelF (using modelB instead of loss.backward()) and to train modelC using the conventional loss.backward() and then compare the parameters (weights) of modelF to modelC to see if I could replicate the logic behind loss.backward() when training modelF by modelB.