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Hi @bckenstler ,
Thanks a lot for sharing your implementation. I just read the paper on cyclical learning rate. I'd like to know how you dealt with the following
How do you choose the number of epochs to run the model?
When I run the LR range test, and estimate accuracy on validation set, I get an accuracy of 0.5 for almost all the learning rates. Since, the model is hardly trained, it is behaving as a random classifier. Then, the validation accuracy around 0.5 looks justified. But, this is not what the accuracy vs learning curve look like in the paper. How did you deal with this?
Thanks
The text was updated successfully, but these errors were encountered:
Hi @bckenstler ,
Thanks a lot for sharing your implementation. I just read the paper on cyclical learning rate. I'd like to know how you dealt with the following
Thanks
The text was updated successfully, but these errors were encountered: