could you elaborate more on the training configurations you used?

Hi, firstly, thanks for sharing this amazing project, it looks really promising!

I have some questions regarding the training configurations you used for your checkpoints. I'm new to deep learning and GANs, therefore if you could answer my questions as simple as possible I would be really grateful.

I was wondering how many epochs have you trained and how long it took in order to get to the checkpoints you achieved and if you think it's possible to improve the reconstruction result (sometimes the face in the target video and source picture is not exactly aligned, or there are both source and target eyebrows visible in the end result, or when the source person is bearded the beard is only half transferred to the target video). In addition, could you share the weights you used for adversarial loss, attributes, identity loss, reconstruction loss and eye loss and in what manner I could adjust these values in order to put more weight into source person and their eyes if possible?

Sorry for bombarding you with questions, thanks in advance!