d_loss decline and g_loss rise

hello. First tanks for your code. When i train the model for about 10k iterations 6 epoch.the d_loss decline and g_loss rise.as the pic show:

and this is my train command: python main.py --epoch=10 --batch_size=500 --input_height=100 --output_height=100
my data sample is about 250k.and the other set is the default.
thanks in advance

Start with main.py and reproduce the reported command: python main.py --epoch=10 --batch_size=500 --input_height=100 --output_height=100. Compare the loss behavior on the approximately 250k-sample dataset with the default data and inspect the attached plot; done means identifying whether the training behavior is expected or isolating a reproducible defect.

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