Correct docstrings and a typo in comments (#27047)

* docs(training_args): correct docstrings

Correct docstrings of these methods in `TrainingArguments`:

- `set_save`
- `set_logging`

* docs(training_args): adjust words in docstrings
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* docs(trainer): correct a typo in comments

---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

src/transformers/trainer.py

@@ -1911,7 +1911,7 @@ class Trainer:
 
         logger.info("\n\nTraining completed. Do not forget to share your model on huggingface.co/models =)\n\n")
         if args.load_best_model_at_end and self.state.best_model_checkpoint is not None:
-            # Wait for everyone to get here so we are sur the model has been saved by process 0.
+            # Wait for everyone to get here so we are sure the model has been saved by process 0.
             if is_torch_tpu_available():
                 xm.rendezvous("load_best_model_at_end")
             elif args.parallel_mode == ParallelMode.DISTRIBUTED:

src/transformers/training_args.py

@@ -2178,7 +2178,7 @@ class TrainingArguments:
         jit_mode: bool = False,
     ):
         """
-        A method that regroups all arguments linked to the evaluation.
+        A method that regroups all arguments linked to evaluation.
 
         Args:
             strategy (`str` or [`~trainer_utils.IntervalStrategy`], *optional*, defaults to `"no"`):
@@ -2276,7 +2276,7 @@ class TrainingArguments:
         on_each_node: bool = False,
     ):
         """
-        A method that regroups all arguments linked to the evaluation.
+        A method that regroups all arguments linked to checkpoint saving.
 
         Args:
             strategy (`str` or [`~trainer_utils.IntervalStrategy`], *optional*, defaults to `"steps"`):
@@ -2329,7 +2329,7 @@ class TrainingArguments:
         replica_level: str = "passive",
     ):
         """
-        A method that regroups all arguments linked to the evaluation.
+        A method that regroups all arguments linked to logging.
 
         Args:
             strategy (`str` or [`~trainer_utils.IntervalStrategy`], *optional*, defaults to `"steps"`):