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Thanks for the excellent work.
I have followed the readme to run python main.py --dataset cifar100 --num-labeled 50 --out Results --num-super 10 --arch wideresnet --lambda_oem 0.1 --lambda_socr 1.0 --batch-size 64 --lr 0.03 --expand-labels --seed 0 --mu 2
The final performance after epoch 512 is
Does the Table 1 include the best performance on test set or the mean of last 20 epochs?
If run with the amp, the result is
Is it normal?
The text was updated successfully, but these errors were encountered:
jingyang2017
changed the title
Abou the CIFAR100 running performance
About the CIFAR100 performance in table1
Jan 17, 2022
jingyang2017
changed the title
About the CIFAR100 performance in table1
About Train the model by 50 labeled data per class of CIFAR-100 dataset, 55 known classes in table1
Jan 17, 2022
Thanks for the excellent work.
I have followed the readme to run python main.py --dataset cifar100 --num-labeled 50 --out Results --num-super 10 --arch wideresnet --lambda_oem 0.1 --lambda_socr 1.0 --batch-size 64 --lr 0.03 --expand-labels --seed 0 --mu 2
The final performance after epoch 512 is
Does the Table 1 include the best performance on test set or the mean of last 20 epochs?
If run with the amp, the result is
Is it normal?
The text was updated successfully, but these errors were encountered: