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Algolzw avatar Algolzw commented on June 16, 2024

We also notice that the training is unstable and often collapses after several epochs. Address it, the common solution is to resume from the last normal training state when the PSNR collapse.
Alternatively, you can also write a shell command that allows the program automatically restart the training from the previous state.

This phenomenon also occurs in DAN. Maybe it is an inherent drawback of the outer framework.

Sorry for this problem, and we will try to solve it in the next version.

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wwlCape avatar wwlCape commented on June 16, 2024

We also notice that the training is unstable and often collapses after several epochs. Address it, the common solution is to resume from the last normal training state when the PSNR collapse. Alternatively, you can also write a shell command that allows the program automatically restart the training from the previous state.

This phenomenon also occurs in DAN. Maybe it is an inherent drawback of the outer framework.

Sorry for this problem, and we will try to solve it in the next version.

Thank you for your reply! Could you please send a train log file to my email? I want to check whether my training process is normal. Thank you very much! (Email address: [email protected])

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Algolzw avatar Algolzw commented on June 16, 2024

The problem has been solved, so I close this issue.

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RC-Qiao avatar RC-Qiao commented on June 16, 2024

我想请问为啥 他迭代28800次才两个epoch呢?训练集一共才3500张图片一批64张迭代不到100次不就一个epoch了么

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Algolzw avatar Algolzw commented on June 16, 2024

我想请问为啥 他迭代28800次才两个epoch呢?训练集一共才3500张图片一批64张迭代不到100次不就一个epoch了么

由于每次batch都是crop后的结果,所以对整个数据集乘以了10作为一个epoch。

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