The problem of accuracy?
Zhangwenyao1 opened this issue · 0 comments
Zhangwenyao1 commented
Thanks for your great job!
When I run this code with COOP, I find the result of trained on oxford_flowers is great,
=> result
=> result
- total: 2,463
- correct: 2,332
- accuracy: 94.7%
- error: 5.3%
- macro_f1: 94.6%
Elapsed: 0:15:09
But if I run it again(as your code show, it will use the model I trained last time, which got good results), it gets a bad result as follows:
=> result - total: 2,463
- correct: 24
- accuracy: 1.0%
- error: 99.0%
- macro_f1: 0.1%
Elapsed: 0:00:11
I am not sure why it produces a bad result, can you give me some advice.