BAD RESULTS FOR 40000 ITERATIONS

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Normandy
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BAD RESULTS FOR 40000 ITERATIONS

Post by Normandy »

Hello, I have trained on a dataset extracted from 2 videos.
The faceA folder contains 1690 images and the faceB folder contains 2590 images.
I have trained for 40,000 iterations but the results are very bad.

Could it be because I have trained for too few iterations?
Could it be for the image number of my dataset?

Thank you a lot.

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torzdf
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Re: BAD RESULTS FOR 40000 ITERATIONS

Post by torzdf »

Which model?

Either way, 40,000 is not that high.

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Normandy
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Re: BAD RESULTS FOR 40000 ITERATIONS

Post by Normandy »

Is the model based on the input size using the CLI?
because I can't use the GUI and I don't select a model type.

however the images are all 256x256.

The network can train for 1000000 iterations but i don't know when it is enough.

Thank you a lot.

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torzdf
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Re: BAD RESULTS FOR 40000 ITERATIONS

Post by torzdf »

If you didn't specify a model then you will be using the Original model.

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yueshitian
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Re: BAD RESULTS FOR 40000 ITERATIONS

Post by yueshitian »

Did you solve your problem and get a good result ? I get same problem, I run 15000 iterations and my training loss is still 0.03 , It is hard for me to decrease the loss , and convert face is blurry.

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torzdf
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Re: BAD RESULTS FOR 40000 ITERATIONS

Post by torzdf »

Loss is diminishing returns. The closer you get to convergence, the slower the loss level will drop.

See the section on monitoring training for more information:
viewtopic.php?f=6&t=146#monitor

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