low test accuracy in FashionMNIST

[Liang-yc]

Thanks for your work. I use your repo to train FashionMNIST dataset. I use the Genotype yor provided as following:

# FashionMNIST
Genotype(
    normal=[[('max_pool_3x3', 0), ('dil_conv_5x5', 1)], [('max_pool_3x3', 0), ('sep_conv_3x3', 1)], [('sep_conv_5x5', 1), ('sep_conv_3x3', 3)], [('sep_conv_5x5', 4), ('dil_conv_5x5', 3)]],
    normal_concat=range(2, 6),
    reduce=[[('sep_conv_3x3', 1), ('avg_pool_3x3', 0)], [('avg_pool_3x3', 0), ('skip_connect', 2)], [('skip_connect', 3), ('avg_pool_3x3', 0)], [('sep_conv_3x3', 2), ('skip_connect', 3)]],
    reduce_concat=range(2, 6)
)

After 300 epochs, it only achieves Final best Prec@1 = 95.9000%, which is much lower than you reported.
Here are my config file and log file. Is anything wrong? Can you provide your FashionMNIST log file?