My question is, if I should retrained my final model on the full available data set (train+validation, not test) after the validation step(s)?
And if yes, when should I choose to stop? (epoch? loss? etc.)
How do you usually proceed after finding the “best” architecture (+ after hyperparameter tuning) for your task, if you want to use your system?
Many thanks in advance!