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yulunzhang avatar yulunzhang commented on August 14, 2024

Hi,
I usually didn’t use DIV2K validation images to validate in the whole training process, as they would consume much more time. Instead, I use Set5.

So the learning curve you asked is currently not available. I may upload one in the future.

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mati1994 avatar mati1994 commented on August 14, 2024

Thank you for your reply. Since I only need to know whether my network has plateaued, a learning curve on set5 is also useful for me. Then is it poosible for me to have your learning curve on set5? Or can you mail the curve image to me at [email protected] if you think the learning curve shall not be seen as an official reference at this repository? I only hope to have some kind of reference, and just thank you.

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wangyifenggg avatar wangyifenggg commented on August 14, 2024

@mati1994 @yulunzhang ,are you sure that the model should be trained for 1000 epochs ? I had train this model for 200 epochs, but it already costs a few days. My devices is 1080ti. Besides, if I train the model for 1000 epochs, could I get the model whose performance is the same as the paper's? Or you have some different training methods?

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