问题
I train my data set using caffe. I set (in slover.prototxt
):
test_iter: 1000
test interval: 1000
max_iter: 450000
base_lr: 0.0001
lr_policy: "step"
step_size: 100000
The test accuracy is around 0.02 and test loss is around 1.6 at the first test. Then the test accuracy increase and the test loss decrease every test.
At iter 32000 the test accuracy is 1 and the test loss is 0.45.
Then the accuracy decrease and the loss increase.
I think the loss is too large when accuracy is 1.
How do I know the result I got is good or not?
Is there any method I can use to make an evaluation?
来源:https://stackoverflow.com/questions/36737309/how-to-evaluate-the-result-is-good-or-not-in-caffe