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[GH-ISSUE #411] How do I fine-tune/train clip on mnist? #350

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opened 2026-10-31 21:14:14 +00:00 by bsakaguchi · 1 comment
bsakaguchi commented 2026-10-31 21:14:14 +00:00
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Originally created by @GitOutOfMyBed on GitHub (Dec 16, 2023).
Original GitHub issue: https://github.com/openai/CLIP/issues/411

Does anyone know how to fine-tune clip on mnist? If I pass in a 32 batch of images and 10 unique labels, I don't know what the loss function would be.
Because in Clip's approach for each image, there's a unique text-image pairing. Now for my scenario, each image has a unique label but I do not have a unique image for each label.

Originally created by @GitOutOfMyBed on GitHub (Dec 16, 2023). Original GitHub issue: https://github.com/openai/CLIP/issues/411 Does anyone know how to fine-tune clip on mnist? If I pass in a 32 batch of images and 10 unique labels, I don't know what the loss function would be. Because in Clip's approach for each image, there's a unique text-image pairing. Now for my scenario, each image has a unique label but I do not have a unique image for each label.
bsakaguchi commented 2026-10-31 21:14:15 +00:00
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@tengshaofeng commented on GitHub (Feb 18, 2025):

https://github.com/tengshaofeng/finetune-jina-clip-v2

<!-- gh-comment-id:2665375768 --> @tengshaofeng commented on GitHub (Feb 18, 2025): https://github.com/tengshaofeng/finetune-jina-clip-v2
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