Help! - Drastic Overfitting and Atrocious Accuracy on ViT Model
I am using the ‘google/vit-base-patch16-224-in21k’ ViT model for image classification.However, my training loss and validation loss looks like this:image1014×1002 98.8 KBAnd my test accuracy is a measly 63%.Here is the full code:vit-cnn-mosquito-image-classification/ViT base.ipynb at main · thenerd31/vit-cnn-mosquito-image-classification · GitHubHow can I increase the accuracy (I want it above 90%) and reduce the overfitting? I didn’t expect such a low result from the ViT, and I need to complete it for a project soon.