[examples/speech-recognition] Add SpecAugment to run_speech_recognition_seq2seq.py
Author: bofenghuang
Pull request: yes

# What does this PR do?

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Hello 👋,

In this PR, I tried to add SpecAugment to run_speech_recognition_seq2seq.py training example since it's asked in https://github.com/huggingface/transformers/pull/21298.

I tried to not impact the training of other seq2seq models using this script. But I might still have missed something.

PS: Also removed useless argument `text_column` :)

Thanks in advance!

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Models:

- text models: @ArthurZucker and @younesbelkada
- vision models: @amyeroberts
- speech models: @sanchit-gandhi
- graph models: @clefourrier

Library:

- flax: @sanchit-gandhi
- generate: @gante
- pipelines: @Narsil
- tensorflow: @gante and @Rocketknight1
- tokenizers: @ArthurZucker
- trainer: @sgugger

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Maintained examples (not research project or legacy):

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- PyTorch: @sgugger
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Comments:
_The documentation is not available anymore as the PR was closed or merged._

Hi @sgugger,

Thanks for the review ! I've removed the SpecAugment arguments from `ModelArguments` and left some default values as asked. Also secured the attribute access in the line 447 to define `return_attention_mask` :)

I think it's okay to have the whisper-specific changes as they are in this PR. We have similar things in `run_translation` for some specific models as well.

Thanks for the clarification @sgugger and @bofenghuang for the contribution! Merging in that case 🤗