Closed JunjunCui closed 3 years ago
Hi~ Thanks for your contribution. It's a real meaningful work. I trained a fastspeech2 model on own dataset for Chinese language. I trained well on v2.yaml, but I couldn't converge good on v1.yaml,this is their loss trajectory. Would you mind suggesting me to improve the v1 fastspeech2 .
i'm not sure what is a problem but the v
should be better than v2
:)). But if v2 is better in ur case, so let use v2
and just don't care about v1
:))
Hi~ Thanks for your contribution. It's a real meaningful work. I trained a fastspeech2 model on own dataset for Chinese language. I trained well on v2.yaml, but I couldn't converge good on v1.yaml,this is their loss trajectory. Would you mind suggesting me to improve the v1 fastspeech2 .
i'm not sure what is a problem but the
v
should be better thanv2
:)). But if v2 is better in ur case, so let usev2
and just don't care aboutv1
:))
Thanks for your reply. There is a little badcase in my results on V2, so I want to try V1, but the convergence is worse.
@JunjunCui try to use smaller initalize learning rate for v1.
@JunjunCui try to use smaller initalize learning rate for v1.
Thanks! i will try it
@dathudeptra I used a smaller initial learning rate on V1 and got a good convergence, thank you!!
@JunjunCui :D
Hi~ Thanks for your contribution. It's a real meaningful work. I trained a fastspeech2 model on own dataset for Chinese language. I trained well on v2.yaml, but I couldn't converge good on v1.yaml,this is their loss trajectory. Would you mind suggesting me to improve the v1 fastspeech2 .