About the difference between the number of training iters in the paper and this Repo

[superPangpang]

Thanks for your great work and source code ! The training epoch numbers in the paper Table 2 are 300, but there are 300000 iters in source code . Data augmentations in the code are very thorough, I think a longer training process is necessary. Which one is your experimental strategy? I do not know if you have done similar experiments that how many iters of training performance will be basically stable under your strong data augment setting.
I look forward to your reply！

[roatienza]

300K is the correct one. Table 2 meant to be 300K iterations. 300K is CLOVA AI training protocol for their STR benchmark. In my experience, anything greater than 300K has little improvement.

[superPangpang]

thanks for your reply!

[roatienza]

Thanks. Closing...