I’m running some training on a large CNN with dropout and batchnorm layers and getting some funky validation loss numbers. I’ve read here that this is common when there are dropout layers in the NN. This might be a silly question but will the validation/training loss curves eventually converge? Or is there something else I have to do to accommodate for the large discrepancy between the values?