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Update wide_resnet101 accuracy values and path to improved model #4964

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prabhat00155
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@prabhat00155 prabhat00155 commented Nov 19, 2021

Fixes partially #3995

gpurun torchrun --nproc_per_node=1 train.py --test-only --weights ImageNet1K_RefV2 --model wide_resnet101_2 -b 1
Test:  Acc@1 82.510 Acc@5 96.020

Recipe used:

python -u run_with_submitit.py --ngpus 8 --nodes 1 --model wide_resnet101_2 --batch-size 128 --lr 0.5 --lr-scheduler cosineannealinglr --lr-warmup-epochs 5 --lr-warmup-method linear --auto-augment ta_wide --epochs 600 --random-erase 0.1 --weight-decay 0.00002 --norm-weight-decay 0.0 --label-smoothing 0.1 --mixup-alpha 0.2 --cutmix-alpha 1.0 --model-ema --val-resize-size 232 --data-path=/datasets01_ontap/imagenet_full_size/061417/

cc @datumbox @bjuncek

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facebook-github-bot commented Nov 19, 2021

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LGTM with a minor nit:

@prabhat00155 prabhat00155 merged commit ebc4ca7 into pytorch:main Nov 21, 2021
@prabhat00155 prabhat00155 deleted the prabhat00155/update_wide_resnet101_weights branch November 21, 2021 23:17
facebook-github-bot pushed a commit that referenced this pull request Nov 30, 2021
…odel (#4964)

Summary:
* Update wide_resnet101 accuracy values and path to improved model

* Fixed github link

Reviewed By: NicolasHug

Differential Revision: D32694319

fbshipit-source-id: cbf808b310506f1f578a520e0b9d7da34942329a
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3 participants