Model not learning about research-ganwriting HOT 7 OPEN

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As shown above, it looks like the classifier (l_cla) is suffering from overfitting. That is, comparing EVAL to tr-gen values

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hi ,I got that same problem even I trained for 10000 epochs after 4000 epochs nothing much change . Can i have some tricks
and you say you have pre-trained model that trained for 2000 epochs where will i find it.

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The pretrained model is referenced in this issue: #5
I'm currently not working on this project anymore, so I can't provide you with better pre-trained models.

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hi ,I got that same problem even I trained for 10000 epochs after 4000 epochs nothing much change . Can i have some tricks and you say you have pre-trained model that trained for 2000 epochs where will i find it.

hello Bird9000: Sorry for the late reply. My problem was that I was new to GAN training, and so, I focused on metrics. As training progresses, what you have to do is observe the intermediate results in imgs/ folder. Even though the training and validation metrics may appear poor, the intermediate results in imgs/ folder indicate that the model is learning. If you do not change any parameters in the model, then, between epoch 400 and 1000, you should start to see that the errors in the intermediate images in folder imgs/ are significantly less. You do not need to train for more than 2000 epochs, assuming you do not change parameters in the current model.

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thank you for the information @tumis1946 @hendraet

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