Set cache_dir for evaluate.load() in example scripts

[aphedges]

What does this PR do?

While using run_clm.py,¹ I noticed that some files were being added to my global cache, not the local cache. I set the cache_dir parameter for the one call to evaluate.load(), which partially solved the problem. I figured that while I was fixing the one script upstream, I might as well fix the problem in all other example scripts that I could.

There are still some files being added to my global cache, but this appears to be a bug in evaluate itself. This commit at least moves some of the files into the local cache, which is better than before.

To create this PR, I made the following regex-based transformation: evaluate\.load\((.*?)\) -> evaluate\.load\($1, cache_dir=model_args.cache_dir\). After using that, I manually fixed all modified files with ruff serving as useful guidance. During the process, I removed one existing usage of the cache_dir parameter in a script that did not have a corresponding --cache-dir argument declared.

Who can review?

Maintained examples:

• PyTorch:
  • text models: @ArthurZucker
• TensorFlow: @Rocketknight1

Footnotes

1. I specifically used pytorch/language-modeling/run_clm.py from v4.34.1 of the library. For the original code, see the following URL: https://github.com/huggingface/transformers/tree/acc394c4f5e1283c19783581790b3dc3105a3697/examples/pytorch/language-modeling/run_clm.py. ↩

[aphedges]

I would appreciate if you could make sure to preserve my commit message (with any needed changes) when merging so it ends up in the Git log.

[ArthurZucker]

Thanks! This is silent and makes sense! 🤗