resume training with My own dataset acc problem

thanks. my goal is to resume training with my own dataset. My dataset has only one special character + 0-9 and a-z (38 char’s). My training images are 316,000 and validation images are 144,000 images. during training, this line of main.py print("correct / total: %d / %d, " % (n_correct, n_total)) prints n_total :64,000. why 64000? None of my training and testing images are 64,000. other note is that acc during training reach 99% but when i load trained model and test some images with demo.py, acc is 0 and all of predictions are wrong. I resume training with your demo.pth but actually, results of demo.pth is very very better than new trained models.

Can you help me what was wrong? thanks

[johnSmith1990]

My problem solved! and get beter results. thanks for your supports:

[Canjie-Luo]

Please modify the strategy to evaluate and save your model: https://github.com/Canjie-Luo/MORAN_v2/blob/2cd40c41d6041f54efdbdcb7d7e081231168c468/main.py#L241-L245