Hi all,
I am training resnet18 for  image classification and I got good results but accuracy of the validation dataset is higher than the training dataset.
| train loss: 0.0059 | train acc 0.9621 | val loss: 0.007485 | val_acc:  0.9771
For the train dataset I used the weighted cross entropy  as loss function since my dataset was imbalanced.
Any help is appreciated