Hi,
I notice that in the tutorials for fine tuning torchvision models. The code uses the best validation accuracy to determine the best model. Although other materials I about fine tuning models tend to use the lowest validation loss to decide which is the best model. Is there a reason that validation accuracy is being used here. Thanks for any help in advice.
https://pytorch.org/tutorials/beginner/finetuning_torchvision_models_tutorial.html 5
Thanks