The result of the resnet-32

[shenyuanyuan]

Hi,
Firstly I cannot get the best accuacy (6.7%) as reported. Set the 'is_full_validation' as 'True' and keep other settings the same as the souce code, I run the 'cifar10_train.py'. I only have my best results as 7.22% at about 77809 iters and the second best results as 7.28% at about 69207 iters. Maybe there are some tips that I have ignored. Would you give me some suggestions about it?
Secondly I notice that the validation curve is more unstable compared to the results in original paper. I run the code and find that it doesn't seem to converge. The results on validation set are shocked at last. Is there something wrong?