About the accuracy of the asym noise in cifar10

[Midkey]

Hello, thanks for your nice work! I run the Train_cifar.py code, and set the noise_mode to asym, the r( noise rate) to 0.4 . Then I found the highest accuracy is 83.+ , differing from your paper mentioned about 92.1/93.4. Am I make some mistake or need to change some hyperparameter? Thank~

.... Epoch:280 Accuracy:81.89 Epoch:281 Accuracy:81.77 Epoch:282 Accuracy:82.54 Epoch:283 Accuracy:82.56 Epoch:284 Accuracy:82.96 Epoch:285 Accuracy:82.65 Epoch:286 Accuracy:82.90 Epoch:287 Accuracy:82.20 Epoch:288 Accuracy:82.63 Epoch:289 Accuracy:82.06 Epoch:290 Accuracy:82.03 Epoch:291 Accuracy:82.68 Epoch:292 Accuracy:82.34 Epoch:293 Accuracy:82.37 Epoch:294 Accuracy:83.15 Epoch:295 Accuracy:82.32 Epoch:296 Accuracy:82.14 Epoch:297 Accuracy:82.18 Epoch:298 Accuracy:82.28 Epoch:299 Accuracy:82.63 Epoch:300 Accuracy:82.62

[LiJunnan1992]

Hi, thanks for your interest!

As shown in our paper's appendix, for asym noise, lambda_u = 0.