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Add new weights for wide_resnet50_2 model #4862

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Merged
merged 4 commits into from
Nov 5, 2021
Merged

Add new weights for wide_resnet50_2 model #4862

merged 4 commits into from
Nov 5, 2021

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@prabhat00155 prabhat00155 commented Nov 4, 2021 •
edited by datumbox
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Fixes partially #3995

torchrun --nproc_per_node=1 train.py --test-only --weights ImageNet1K_RefV2 --model wide_resnet50_2 -b 1
Test:  Acc@1 81.602 Acc@5 95.758

cc @datumbox @bjuncek

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facebook-github-bot commented Nov 4, 2021 •
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💊 CI failures summary and remediations

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@datumbox datumbox changed the title Updated wide_resnet50_2 model weights Add new weights for wide_resnet50_2 model Nov 4, 2021
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datumbox approved these changes Nov 4, 2021
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@prabhat00155 Awesome result Prabhat! Looks good to me.

Feel free to merge once the accuracy is estimated on 1 GPU and 1 image per batch.

@prabhat00155 prabhat00155 merged commit ed2eefc into pytorch:main Nov 5, 2021
@prabhat00155 prabhat00155 deleted the prabhat00155/wide_resnet_update branch November 5, 2021 13:21
@datumbox datumbox linked an issue Nov 5, 2021 that may be closed by this pull request
Improve the accuracy of Classification models by using SOTA recipes and primitives #3995
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facebook-github-bot pushed a commit that referenced this pull request Nov 8, 2021
@prabhat00155 @datumbox @facebook-github-bot
[fbsync] Add new weights for wide_resnet50_2 model (#4862)
dbbf6f3 
Summary:
* Updated wide_resnet50_2 model weights

* Update Accs with batch-size 1.

* Update checkpoint and accs.

Reviewed By: kazhang

Differential Revision: D32216677

fbshipit-source-id: 3ea09f12d85f88c131bd29ac8482ae420c17d10f

Co-authored-by: Vasilis Vryniotis <[email protected]>
cyyever pushed a commit to cyyever/vision that referenced this pull request Nov 16, 2021
@prabhat00155 @datumbox @cyyever
Add new weights for wide_resnet50_2 model (pytorch#4862)
62639d7 
* Updated wide_resnet50_2 model weights

* Update Accs with batch-size 1.

* Update checkpoint and accs.

Co-authored-by: Vasilis Vryniotis <[email protected]>
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Improve the accuracy of Classification models by using SOTA recipes and primitives
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