Comments (3)
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@NoOneUST , the reported accuracy 97.43+-0.07 is the best searched model (not the average accuracy of search four times) which trained four times (we follow the original DARTS paper). As the CIFAR dataset is small and the training period involved many argumentation strategies, the result can not be that stable. The search on ImageNet(We also offer the implementations) is much more stable.
from pc-darts.
@NoOneUST , the reported accuracy 97.43+-0.07 is the best searched model (not the average accuracy of search four times) which trained four times (we follow the original DARTS paper). As the CIFAR dataset is small and the training period involved many argumentation strategies, the result can not be that stable. The search on ImageNet(We also offer the implementations) is much more stable.
Thanks, when testing, simply use command 'python test.py' right? And can you provide your search results' distribution on both datasets? We hope to compare our improved method with yours.
from pc-darts.
Related Issues (20)
- Is a channel sampling mask fixed? HOT 3
- Is there any plan to release the pretrained imagenet model? HOT 1
- Why modifying architecture after epoch 15
- Data preparation of ImageNet
- How to change the channel proportion K? HOT 2
- GPU Utilization is Bad HOT 1
- We cannot obtain your claimed result on ImageNet after trying many configurations HOT 4
- Question about search on custom dataset HOT 5
- test.py运行报错
- Understanding the two sets of the architecture hyperparameter HOT 2
- how you report the final accuracy in evaluation? Possibly touch the test set for the best acc? HOT 2
- Learning rate schedule
- 你好,结果不一致 HOT 2
- Searched genotype remain / keep unchanged for a great number of epoch HOT 2
- RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cuda:1!
- 您好,想请问一下网络搜索完之后如何得到需要的网络结构代码? HOT 3
- About the license of this repository
- Hello, whether PC-DARTS likes DARTS with extra dropout?
- Not Enough Comments in the Code
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