TrainingArguments default parameters throw error (evaluation_strategy, save_strategy)

So `evaluation_strategy` default value is `"no"` while the default for `evaluation_strategy` is `"steps"`. This will result in an error:

https://github.com/huggingface/transformers/blob/76c4d8bf26de3e4ab23b8afeed68479c2bbd9cbd/src/transformers/training_args.py#L684

### Who can help

- trainer: @sgugger


I could make a PR but changing the default values of something is a breaking change, I don't know if you have any specific procedure to do this.
That's only when using `load_best_model_at_end` though, so not the real defaults. We can't change the defaults of other arguments without making a breaking change, so yes, when using `load_best_model_at_end=True` you need to set an `evaluation_strategy` and a `save_strategy` that match.<|||||>This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

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