Fix metric calculation in examples and setup tests to run on multi-gpu for no_trainer scripts
# What does this PR do?

This PR fixes all failing tests in a multi-gpu setting for all `no_trainer` example scripts. This includes an issue with when the logger was called before `Accelerator()` was created, adjusting when the conditional to add to the `samples_seen`, and adjusting `samples_seen` to use the length when the labels are just a list instead of a torch tensor.

Because the tests were rewritten to use `accelerate launch` and the new `write_basic_config`, these tests will automatically allocate themselves properly to test on multigpu, gpu, or cpu depending on what environment is available

Fixes # (issue):

Closes https://github.com/huggingface/transformers/issues/17214, https://github.com/huggingface/transformers/issues/17200


## 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?
- [ ] 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?

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