Update data collator docstrings to accurately reference Nvidia tensor core compute capability version
Author: johngrahamreynolds
Pull request: yes

# What does this PR do?

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This PR fixes issue #35174 related to an incorrect numeric definition of the Nvidia compute capability equal to and above which users will see the expedited benefit of tensor cores when passing the `pad_to_multiple_of` argument to any of the following data collators: {`DataCollatorWithPadding`, `DataCollatorForTokenClassification`, `DataCollatorForSeq2Seq`, `DataCollatorForLanguageModeling`}.

The changes update the relevant docstrings of the classes above in the `src/transformers/data/data_collator.py` file exactly as described in the original issue.


## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
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      Pull Request section?
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      to it if that's the case.
- [x] Did you make sure to update the documentation with your changes? Here are the
      [documentation guidelines](https://github.com/huggingface/transformers/tree/main/docs), and
      [here are tips on formatting docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation).
- [ ] Did you write any new necessary tests? - N/A


## Who can review?
@stevhliu

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Comments:
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_35188). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.