some issues about the result

[allenhaozhu]

Hi:
I am trying to follow your guide in the README and train your model in miniImagenet as the following cmd:
python train.py --is_train True --gpu 0 --metric instance --transductive True --flip True --drop True --n_shot 1 --n_train_class 15
Episode: 0, Train Loss: 7.484041
Episode: 100, Train Loss: 5.504799
Episode: 200, Train Loss: 5.511789

Episode: 300, Train Loss: 5.448573
Episode: 400, Train Loss: 5.385933
Episode: 500, Train Loss: 5.263885
Episode: 600, Train Loss: 5.280904
Episode: 700, Train Loss: 5.208240
Episode: 800, Train Loss: 5.384327
Episode: 900, Train Loss: 5.381695
Episode: 1000, Train Loss: 5.335180
Evaluation in Validation data
Accuracy 1-shot =28.45%
Evaluation in Test data

So, is there anything wrong with my condition? Could you give me some clues about that?