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Task: DL model training/finetuning and testing for audio classification #28

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fabiocat93 opened this issue May 28, 2024 · 4 comments
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enhancement New feature or request

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@fabiocat93
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Description

Implement a pipeline for deep learning model training, finetuning, and testing for audio classification tasks

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  • Data loading
  • Training/finetuning
  • Testing

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@fabiocat93 fabiocat93 added the enhancement New feature or request label May 28, 2024
@wilke0818
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Curious how we would even go about testing such a pipeline? Seems difficult to unit test though I have code that we both believe does this.

@fabiocat93
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Curious how we would even go about testing such a pipeline? Seems difficult to unit test though I have code that we both believe does this.

I would split the process in sub-tasks and test those first

@wilke0818
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I guess I was curious if you knew of good examples of testing tasks like finetuning? This is a later issue but it is one of those tasks that seems computationally infeasible to have a unit test run on for every push.

@fabiocat93
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fabiocat93 commented May 28, 2024

I guess I was curious if you knew of good examples of testing tasks like finetuning? This is a later issue but it is one of those tasks that seems computationally infeasible to have a unit test run on for every push.

We can do speech emotion recognition, speaker identification, or sex prediction in our case studies.
Agree that not everything can be tested as a unit test

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