Fix W&B run name (#30462)

* Remove comparison to output_dir

* Update docs for `run_name`

* Add warning

src/transformers/integrations/integration_utils.py

@@ -762,9 +762,14 @@ def setup(self, args, state, model, **kwargs):
  if trial_name is not None:
  init_args["name"] = trial_name
  init_args["group"] = args.run_name
- else:
- if not (args.run_name is None or args.run_name == args.output_dir):
- init_args["name"] = args.run_name
+ elif args.run_name is not None:
+ init_args["name"] = args.run_name
+ if args.run_name == args.output_dir:
+ self._wandb.termwarn(
+ "The `run_name` is currently set to the same value as `TrainingArguments.output_dir`. If this was "
+ "not intended, please specify a different run name by setting the `TrainingArguments.run_name` parameter.",
+ repeat=False,
+ )
 
  if self._wandb.run is None:
  self._wandb.init(

src/transformers/training_args.py

@@ -420,9 +420,9 @@ class TrainingArguments:
  the past hidden states for their predictions. If this argument is set to a positive int, the `Trainer` will
  use the corresponding output (usually index 2) as the past state and feed it to the model at the next
  training step under the keyword argument `mems`.
- run_name (`str`, *optional*):
+ run_name (`str`, *optional*, defaults to `output_dir`):
  A descriptor for the run. Typically used for [wandb](https://www.wandb.com/) and
- [mlflow](https://www.mlflow.org/) logging.
+ [mlflow](https://www.mlflow.org/) logging. If not specified, will be the same as `output_dir`.
  disable_tqdm (`bool`, *optional*):
  Whether or not to disable the tqdm progress bars and table of metrics produced by
  [`~notebook.NotebookTrainingTracker`] in Jupyter Notebooks. Will default to `True` if the logging level is