Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

All the term of training losses are 0.000 except mel loss #159

Closed
jirenhui opened this issue Dec 15, 2023 · 1 comment
Closed

All the term of training losses are 0.000 except mel loss #159

jirenhui opened this issue Dec 15, 2023 · 1 comment

Comments

@jirenhui
Copy link

Great work! However, When I reused the LJSpeech to train the model, I encountered some problems as shown in the figure below. train_list, val_list and OOD_text are all original in the project. Can you help me solve it?
image
@martinambrus
Copy link

That's normal for the first 49 epochs on 1st training stage. Once you get to epoch 50, you'll see the other losses as well.

@yl4579 yl4579 closed this as completed Dec 17, 2023
Akito-UzukiP pushed a commit to Akito-UzukiP/StyleTTS2 that referenced this issue Jan 13, 2024
@Stardust-minus @jiangyuxiaoxiao @pre-commit-ci
sync emo branch (yl4579#159)
33d1535 
* Update README.md

* 更新 bert_models.json

* fix

* Update data_utils.py

* Update infer.py

* performance improve

* Feat: support auto split in webui (yl4579#158)

* Feat: support auto split in webui

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

---------

Co-authored-by: Sora <atri@suzakuintsubaki.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
3 participants
@martinambrus @jirenhui @yl4579