Model performs poorly on Validation data

Hello, everyone, need some help with this

I'm trying to train a classification model with resnet50 on 102flowers dataset. I'm able to hit the training accuracy of 80% within 30epochs but my validation accuracy is always around 1%. I've tried data agumentation and various things to reduce this overfitting but nothing is improving the validation accuracy.

I would be really gald if could take a look at this code and give me any suggestions:

[https://www.kaggle.com/code/spiritabsolute/notebook00cf041391/notebook](https://www.kaggle.com/code/spiritabsolute/notebook00cf041391/notebook)

Please feel free to ask …

accuracy classification classification model data dataset deeplearning hello nothing overfitting reduce resnet50 train training validation