So basically for my Use-Case (Training with max. 4 samples) the CrossEntropyLoss is the wrong lossfunction?
I simply have too shown that a retraining would be usefull without actually going trough the whole training because we lack in data.
Can you suggest me a better lossfunction for my usecase?