I’m working on an image classification task and the metric for evaluating the model performance is the log loss I have used pretrained model like efficient-net b1 and resnet18 to do fine tunning.
I have as well perform data augmentation such as gaussianblur, but the least loss I have gotten on the test set is 0.4 which is greater than the bench mark
Please how can I improve the model performance?
Thanks in advance.