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Plan to release weights pretrained on JFT-300M dataset? #4

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nlml opened this issue May 22, 2020 · 3 comments
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Plan to release weights pretrained on JFT-300M dataset? #4

nlml opened this issue May 22, 2020 · 3 comments

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@nlml
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nlml commented May 22, 2020

Thanks for releasing this - when I saw the paper I really hoped it would be open sourced.

It seems the biggest gains can come from using the models pretrained on your internal JFT-300M dataset. Are there plans to release weights from the models pretrained on this dataset?

Cheers!

@lucasb-eyer
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Unfortunately, this is an internal dataset and we are not allowed to release these weights. ImageNet-21k was in anticipation for this, and we are actively looking at public datasets larger than ImageNet-21k in order to be able to release even better pre-trained models.

Happy to hear recommendations for large, public datasets we could try!

@nlml
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nlml commented May 24, 2020

Bummer!

No alternative datasets of that scale spring immediately to mind.

@nlml nlml closed this as completed May 24, 2020
@ghost
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ghost commented Jun 19, 2020

Unfortunately, this is an internal dataset and we are not allowed to release these weights. ImageNet-21k was in anticipation for this, and we are actively looking at public datasets larger than ImageNet-21k in order to be able to release even better pre-trained models.

Happy to hear recommendations for large, public datasets we could try!

Surely, there must be some subset for which you may be able to train and release without any licensing hassle. Or maybe the permissions your team needs is few mails down the line, if you and everyone here feels that releasing the model will be a great service to humanity.

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