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yue-zhongqi / ifsl

[NeurIPS 2020] Released code for Interventional Few-Shot Learning
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Hyperparametric problems #10

Open chengtao-lv opened 2 years ago

chengtao-lv commented 2 years ago

under your instructions, i run python main.py --dataset miniImagenet --method metatrain --train_aug --test maml5_resnet and finally get the result of 66.5%,far from the result in your paper about 70%, is the Hyperparametric problems? ps: I did not use the novel.hdf5 file,because I don't think this file is getting anything useful,does file make the situation?

chengtao-lv commented 2 years ago

And I must add that the inner and outer learning rate in your paper about maml are both 0.01,but in your code are 0.001 and 0.005.

yue-zhongqi commented 2 years ago

Hi, which pre-trained backbone did you use?

chengtao-lv commented 2 years ago

image

hey！ resnet10，do I download or use the wrong backbone?

chengtao-lv commented 2 years ago

thanks for your reply, appreciate it!

yue-zhongqi commented 2 years ago

I used the Resnet10 pre-trained using Simpleshot. Please download here: https://drive.google.com/file/d/1wWFQibiLL6yJWNXsHIxioucp0DnxOelP/view?usp=sharing

chengtao-lv commented 2 years ago

是啊，哥们。我就是从这里下载的，导入也没有啥问题，就是达不到你的效果.....方便加一个wx吗？如果不介意的话可以将wx号发我邮箱，897674362@qq.com。

nancy-ux commented 1 year ago

under your instructions, i run python main.py --dataset miniImagenet --method metatrain --train_aug --test maml5_resnet and finally get the result of 66.5%,far from the result in your paper about 70%, is the Hyperparametric problems? ps: I did not use the novel.hdf5 file,because I don't think this file is getting anything useful,does file make the situation?

hello,I want to reproduce results 76.37% from the paper (MAML + ifsl with dataset miniImagenet and model ResNet10 ). But when I run an command (python main.py --dataset miniImagenet --model na --method metatrain --train_aug --test maml5_ifsl_resnet ),get a wrong answer whose acc=32. Did you reproduce the result successfully? Could you tell me how to get the 76.37% from the paper?If my command was wrong , what is the correct command? thank you!