Open FanYans opened 5 months ago
I did not have this error during training. You can check the calculation of the loss function and whether the value output by the network is abnormal.
Thank you very much! I will try it. However when I
------------------ 原始邮件 ------------------ 发件人: "TachibanaYoshino/AnimeGANv2" @.>; 发送时间: 2024年4月10日(星期三) 下午4:20 @.>; @.**@.>; 主题: Re: [TachibanaYoshino/AnimeGANv2] when I train my dataset: mean_v_loss: nan (Issue #71)
I did not have this error during training. You can check the calculation of the loss function and whether the value output by the network is abnormal.
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Thank you very much! I will try it. However when finished my training (10 epoch), my results were black pictures. I do not why? Have you ever had this problem before?Maybe I don't train enough?
------------------ 原始邮件 ------------------ 发件人: "TachibanaYoshino/AnimeGANv2" @.>; 发送时间: 2024年4月10日(星期三) 下午4:20 @.>; @.**@.>; 主题: Re: [TachibanaYoshino/AnimeGANv2] when I train my dataset: mean_v_loss: nan (Issue #71)
I did not have this error during training. You can check the calculation of the loss function and whether the value output by the network is abnormal.
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Something is wrong with your training. The model does not converge correctly. Check your data processing and data entry network for problems. This problem does not occur under normal circumstances.
I found it's an issue with my dataset. I'll check the training results after I finish training. Thank you very much to the author. My training progress is as shown in the graph below. Is this loss rate trend normal?
------------------ 原始邮件 ------------------ 发件人: "TachibanaYoshino/AnimeGANv2" @.>; 发送时间: 2024年4月11日(星期四) 上午10:48 @.>; @.**@.>; 主题: Re: [TachibanaYoshino/AnimeGANv2] when I train my dataset: mean_v_loss: nan (Issue #71)
Something is wrong with your training. The model does not converge correctly. Check your data processing and data entry network for problems. This problem does not occur under normal circumstances.
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When I train my dataset, the mean_v_loss became nan. How to solve this issue?