How to tune hyperparameters for custom datasets?

[krumo]

Thanks for your excellent work! I am trying to run SIGMA and SIGMA++ on a new UDA benchmark for adapting Cityscapes to ACDC dataset. I find for different UDA tasks, you adopt different GA_DIS_LAMBDA, GRL_WEIGHT_{P3-P7}, MATCHING_LOSS_WEIGHT and BG_RATIO in configs. Could you share some insights about how to tune these hyperparameters for a new UDA task? Looking forward to your response!