fixed Docstring for configuration_bert.py file
Author: neet-14
Pull request: yes

# What does this PR do?
fixes #26638 issue

<!--
Congratulations! You've made it this far! You're not quite done yet though.

Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.

Then, please replace this with a description of the change and which issue is fixed (if applicable). Please also include relevant motivation and context. List any dependencies (if any) that are required for this change.

Once you're done, someone will review your PR shortly (see the section "Who can review?" below to tag some potential reviewers). They may suggest changes to make the code even better. If no one reviewed your PR after a week has passed, don't hesitate to post a new comment @-mentioning the same persons---sometimes notifications get lost.
-->

<!-- Remove if not applicable -->

Fixes # (issue)


## Before submitting
- [] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests),
      Pull Request section?
- [x] Was this discussed/approved via a Github issue or the [forum](https://discuss.huggingface.co/)? Please add a link
      to it if that's the case.
- [] 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?


## Who can review?

@ydshieh 
Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contributors who may be interested in your PR.

<!-- Your PR will be replied to more quickly if you can figure out the right person to tag with @

 If you know how to use git blame, that is the easiest way, otherwise, here is a rough guide of **who to tag**.
 Please tag fewer than 3 people.

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: @muellerzr and @pacman100

Integrations:

- deepspeed: HF Trainer/Accelerate: @pacman100
- ray/raytune: @richardliaw, @amogkam
- Big Model Inference: @SunMarc
- quantization (bitsandbytes, autogpt): @SunMarc and @younesbelkada

Documentation: @stevhliu and @MKhalusova

HF projects:

- accelerate: [different repo](https://github.com/huggingface/accelerate)
- datasets: [different repo](https://github.com/huggingface/datasets)
- diffusers: [different repo](https://github.com/huggingface/diffusers)
- rust tokenizers: [different repo](https://github.com/huggingface/tokenizers)

Maintained examples (not research project or legacy):

- Flax: @sanchit-gandhi
- PyTorch: See Models above and tag the person corresponding to the modality of the example.
- TensorFlow: @Rocketknight1

 -->


Comments:
Hey - I was participating in this as well, just thought I would try to help. I see CI is failing - did you run `pip install -e ".[dev]"` before making changes, and `make fixup` after? Looks like it only failed because of a dependency issue. Happy to chat more if you want an extra pair of eyes on this!

@abzdel thanks for looking into this. it was showing "-n was unexpected at this time.
make: *** [Makefile:10: modified_only_fixup] Error 255
" when i tried to run `make fixup` command. 
and when run `python3.11 utils/check_docstrings.py --fix_and_overwrite`
Traceback (most recent call last):
  File "C:\Users\Lenovo\OneDrive\Desktop\Git-hub\fork-transformers\utils\check_docstrings.py", line 44, in <module>
    from check_repo import ignore_undocumented
  File "C:\Users\Lenovo\OneDrive\Desktop\Git-hub\fork-transformers\utils\check_repo.py", line 44, in <module>
    from transformers import is_flax_available, is_tf_available, is_torch_available
ModuleNotFoundError: No module named 'transformers'


I think i have also made a typo in the file `src/transformers/models/bert/configuration_bert.py` in place of `is_decoder` i have written `id_decoder`. 
@abzdel can you suggest what other docstrings i have to change in the `src/transformers/models/bert/modeling_bert.py` file

@neet-14 I have a busy next few days but I will get back to you on this soon, we'll figure this out!

For `BertModel`, see how `UniSpeechSatForCTC` is fixed in this PR #26664

> "-n was unexpected at this time.
> make: *** [Makefile:10: modified_only_fixup] Error 255

Are you on a Windows machine? I'm thinking this could be due to the Makefile using commands for a bash shell. If you're in VSCode, you can switch to a bash terminal fairly quickly. If not we can try other options.

> ModuleNotFoundError: No module named 'transformers'

If you run `pip install -e ".[dev]"`, I would think this would install all your dependencies. If not you could always just try `pip install transformers` and see if that's the only dependency you're missing.

> can you suggest what other docstrings i have to change

When you run `python3 utils/check_docstrings.py --fix_and_overwrite`, your associated .py file should have <fill_type> or <fill_docstring> everywhere you need to fill in (to find them easily you can ctrl-F the .py file and search for '<'). When doing mine, I searched the rest of the codebase for what these types and docstrings would be and filled them in with the same information & styling.

@ydshieh `1e-12` or 1`e-5` which value should be used as the default value for `layer_norm_eps` in bert model.

The current docstring use 1e-12 and it is the same in the argument default value. So 1e-12. Any issue with this value?

@ydshieh 
no there is no issue with 1e-12. but 1e-5 is more stable in gradient explosion cases, so should'nt it be better choice as a default value.

The default in the config is usually taken from the original model repository to match the original implementation :-).