cannot reproduce the performance of FEAT

[Duuhiy]

Excuse me, I have followed the command :
$ python train_fsl.py --max_epoch 200 --model_class FEAT --backbone_class Res12 --dataset MiniImageNet --way 5 --eval_way 5 --shot 5 --eval_shot 5 --query 15 --eval_query 15 --balance 0.1 --temperature 64 --temperature2 32 --lr 0.0002 --lr_mul 10 --lr_scheduler step --step_size 40 --gamma 0.5 --gpu 0 --init_weights ./saves/initialization/miniimagenet/Res12-pre.pth --eval_interval 1 --use_euclidean
which is the same as the one you provided. But I can only reach the accuracy of 78.73. Is there something wrong with my trainning or is there something I can do to improve the performance.
Hope you can solve my problem, thx!