Hello, I am using a resnet18 to do some Finetuning classification on a dataset of dogs breeds and I’m struggling to get good results. This is how the losses and accuracies look like.
What does it mean that the validation loss is smaller all the time than the train loss?. Is 80% a reasonable accuracy for this kind of problem?.
Any tips on how to approach this kind of classification would very much be appreciated!  Thanks in advance.