Evaluation metrics computed on 1024 validation dataset patches throughout each phase of SB model training. The network parameters passed to the next phase are determined by selecting training iterations in which the validation metrics are small (vertical red lines). Training in the first stage is halted when FID is smallest, which also corresponds to low-elevation mean squared error and slope error. Note the change in scale of the horizontal and vertical axes in the fine-tuning phases.