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update weights optimization #1791

Merged
merged 13 commits into from
Nov 26, 2024
Merged

update weights optimization #1791

merged 13 commits into from
Nov 26, 2024

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clement-pages
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BREAKING: remove finetune_wavlm attributes from the PixIT task, and replace it with walm_frozen in Totatonet separation model, to be consistent with what is done for the segmentation model.

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Merging this PR should fix #1789

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hbredin commented Nov 20, 2024

@Lebourdais suggested that we set wavlm.requires_grad to False in __init__ instead of using the with torch.no_grad logic. I think it is indeed a better idea as it allows to get a better estimate of the number of trainable parameters (i.e. those for which requires_grad is set to True.

@clement-pages can you update your PR to make this change and also update the SSeRiouSS model and diarization task accordingly?

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@clement-pages can you update your PR to make this change and also update the SSeRiouSS model and diarization task accordingly?

OK, I will update it.

clement-pages added 2 commits November 20, 2024 13:29
use param.requires_grad instead of torch.no_grad()
ca2a5d4
allow to use more than two optimizers
c3a0313 
In the same way that is done for the speaker diarization task
@clement-pages clement-pages changed the title fix weights update issue when training separation model update weights optimization Nov 20, 2024
hbredin
hbredin requested changes Nov 25, 2024
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pyannote/audio/tasks/segmentation/speaker_diarization.py Outdated Show resolved Hide resolved
pyannote/audio/tasks/separation/PixIT.py Outdated Show resolved Hide resolved
@hbredin hbredin merged commit 9a2368b into pyannote:develop Nov 26, 2024
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@joonaskalda joonaskalda mentioned this pull request Jan 10, 2025
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