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parameter setting to train on ImageNet from scratch #8

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zhiyuanli1992 opened this issue Mar 20, 2021 · 4 comments
Open

parameter setting to train on ImageNet from scratch #8

zhiyuanli1992 opened this issue Mar 20, 2021 · 4 comments

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@zhiyuanli1992
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Thank you for your great work.
Would you please post your training scripts to train the model on ImageNet. For example the learning rate, weight decay, training_step and etc?
Thank you very much!

@DevilYangS
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+1

@cjsg
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cjsg commented Mar 30, 2021

Did you actually try to train your model from scratch, or did you always use the pre-trained weights?

In particular, in the README, you write

Similar results as in original implementation are achieved.

Do you mean, when training from scratch, or when importing pre-trained weights and fine-tuning?

@Hhhhhhao
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The cifar results are fine-tuned from the pretrained weights, not training from scratch

@zhiyuanli1992
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ar results are fine-tuned from the pretrained weights, not training from scratch

Hi, can I have the training script to train on ImageNet from scratch? Thanks!

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4 participants