pytorch/examples

Low training accuracy using pre-trained model

オープン

#889 opened on 2021/03/04

 (2 件のコメント) (0 件のリアクション) (0 人の担当者)Python (9,429 件のフォーク)batch import
help wantedvision

Repository metrics

Stars
 (21,634 個のスター)
PR merge metrics
 (PR metrics pending)

説明

Hello, I am trying to evaluate a pre-trained mobilenetv2 model from torchvision on the ImageNet training dataset using this script. To do so, I modify lines 235-237 to perform validation on the train loader instead of the val loader:

    if args.evaluate:
        validate(train_loader, model, criterion, args)
        return

Everything else is left untouched. The command I use to run is: python imagenet_train_example.py -a mobilenet_v2 -j 16 -b 1024 -e --pretrained /data/ImageNet However, the results are lower than expected: Acc@1 2.926 Acc@5 15.079 Loss 11.795791

コントリビューターガイド