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About datasets #2

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RuoyuChen10 opened this issue Mar 5, 2023 · 3 comments
Open

About datasets #2

RuoyuChen10 opened this issue Mar 5, 2023 · 3 comments

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@RuoyuChen10
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Hi, thanks for your great work. I have a question about the dataset, ImageNet-1K. Do you use the full-size ImageNet-1K, which is about 160G? Or just a subset of ImageNet-1K? Thanks.

@iurgnauh
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iurgnauh commented Mar 7, 2023

Thanks for being interested in our work! We used the entire training set in ImageNet-1k for model training and fine-tuning, and used the entire validation set for test. The only exceptions are Fig. 2 and Fig. 5, where subsets of classes are sampled from ImageNet-1k.

Hope this answers your question.

@RuoyuChen10
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Thanks for being interested in our work! We used the entire training set in ImageNet-1k for model training and fine-tuning, and used the entire validation set for test. The only exceptions are Fig. 2 and Fig. 5, where subsets of classes are sampled from ImageNet-1k.

Hope this answers your question.

How many GPUs did you use and how long did you train for?

@iurgnauh
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We finetuned our model from BiT pre-trained models: https://github.com/google-research/big_transfer.
We used 8 NVIDIA GeForce RTX 2080Ti and the finetuning takes about 10 hours, if I remember correctly (at least several hours, at most a day).

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