I’m not sure if there is a universal answer to this, but usually you would use the lowest validation loss or the best validation metric (dice score in your case).
These two values are often correlated, but you might also see e.g. a decreasing loss while the accuracy doesn’t change much, which could be the case if the model increases it’s predictions for already correctly classified samples.