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[GH-ISSUE #193] Different accuracy for different batch sizes #166

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opened 2026-10-31 21:11:55 +00:00 by bsakaguchi · 0 comments
bsakaguchi commented 2026-10-31 21:11:55 +00:00
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Originally created by @harryfin on GitHub (Dec 6, 2021).
Original GitHub issue: https://github.com/openai/CLIP/issues/193

The different accuracies occur when the model is tested with different batch sizes.
I assume it is related to Batch Normalization, even though the model has been set to evaluation mode before testing.

Used Model: 'RN50'

Is there a known solution to this problem?

Originally created by @harryfin on GitHub (Dec 6, 2021). Original GitHub issue: https://github.com/openai/CLIP/issues/193 The different accuracies occur when the model is tested with different batch sizes. I assume it is related to Batch Normalization, even though the model has been set to evaluation mode before testing. Used Model: 'RN50' Is there a known solution to this problem?
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