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Are the parameters for "300K Random Images " vs. "80m TinyImaget" same. #22

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JimZAI opened this issue Jan 4, 2023 · 5 comments
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@JimZAI
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JimZAI commented Jan 4, 2023

Hi, thank you for your insightful work.

I wonder Are the parameters for "300K Random Images " vs. "80m TinyImaget" same?
When i reproduce the results, i find that directly replacing "80m TinyImaget" with "300K Random Images " brings significant performance degradation.

Thanks a lot.

@utkutpcgl
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Thanks for the contribution.
I am also curious about this.

@JimZAI
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JimZAI commented Jan 8, 2023

Could you please answer our questions. Thanks.

@andyzoujm
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Hi, the 300K images were randomly selected after excluding images from the CIFAR, Places, and LSUN classes, as well as images with divisive metadata, from the 80 Million Tiny Images dataset. No further modifications were made. Thank you.

@JimZAI
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JimZAI commented Jan 18, 2023

Thanks for the response.

I would like to ask whether the traning hyperparameters (e.g. learning rate, ...) used for "300K Random Images " and "80m TinyImaget" are the same when performing model training. Because if the hyperparameters are not changed and just "300K Random Images" is used instead of "80m TinyImaget", the performance of the model degrades very significantly.

@andyzoujm
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We didn't tune any hyperparameter on 300K. Can you share some of the results you've obtained?

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