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D-X-Y avatar D-X-Y commented on August 19, 2024

Thanks for your interest in NATS-Bench.

1, Yes, please use 'cifar10' to get the test accuracy.

2, valtest-accuracy means the accuracy on the joint of validation and test sets. Note that, here the validation set and test set following the split strategy in our paper, which is different from the original CIFAR-100 setting.

3, Possibly because you are using is_random=True, which will randomly select a seed. When we report the Optimal values, we use the average results from all seeds.

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Tommy787576 avatar Tommy787576 commented on August 19, 2024

Hi, thank you for quick reply!
Therefore, I should set is_random=False to get the average results from all seeds. Am I correct?

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D-X-Y avatar D-X-Y commented on August 19, 2024

Yes, when you are using is_random=False, you can get the average results.

If you are benchmarking your own NAS algorithm, it is also suggested to use the simulate_train_eval API as in our examples: https://github.com/D-X-Y/AutoDL-Projects/blob/main/exps/NATS-algos/regularized_ea.py#L144

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Tommy787576 avatar Tommy787576 commented on August 19, 2024

Ok. Thank you so much!
Hope you have a wonderful day!

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