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resume training with My own dataset acc problem

See original GitHub issue

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 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, 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

Issue Analytics

  • State:closed
  • Created 4 years ago
  • Comments:8 (2 by maintainers)

github_iconTop GitHub Comments

johnSmith1990commented, Nov 1, 2019

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

Canjie-Luocommented, Nov 1, 2019
Read more comments on GitHub >

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