Is pretrained model trained with augmentation?

[Jongho Choi]

Hi, Thanks for sharing this work.

I am using pretrained model from this repo. and I found that its performance score is much higher than the original paper's score.
(Note F1 0.89, Onset F1 0.979)

Is this pretrained model trained by applying the augmentation technique included in the code you provided?

I may have made a mistake in the score calculation, so I would appreciate it if you let me know if audio augmentation is applied on this pretrained model.

[qiuqiangkong]

Hi, thanks! This repo is not trained with augmentation. I thought the score should not be that high. The score should be the same as reported in the paper. Best wishes, Qiuqiang

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On Thu, 23 Dec 2021 at 16:53, Jongho Choi ***@***.***> wrote: Hi, Thanks for sharing this work. I am using pretrained model from this repo. and I found that its performance score is much higher than the original paper's score. (Note F1 0.89, Onset F1 0.979) Is this pretrained model trained by applying the augmentation technique included in the code you provided? I may have made a mistake in the score calculation, so I would appreciate it if you let me know if audio augmentation is applied on this pretrained model. — Reply to this email directly, view it on GitHub <#6>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ADFXTSOL5OFZQ2UFYCJLR3TUSLPSLANCNFSM5KUJQYHA> . Triage notifications on the go with GitHub Mobile for iOS <https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675> or Android <https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub>. You are receiving this because you are subscribed to this thread.Message ID: ***@***.***>