docs: add space to docs (#26067)

* docs: add space to docs

* docs: remove reduntant space

examples/pytorch/language-modeling/run_clm.py

@@ -77,7 +77,7 @@ class ModelArguments:
         default=None,
         metadata={
             "help": (
-                "The model checkpoint for weights initialization.Don't set if you want to train a model from scratch."
+                "The model checkpoint for weights initialization. Don't set if you want to train a model from scratch."
             )
         },
     )

examples/pytorch/language-modeling/run_clm_no_trainer.py

@@ -632,7 +632,7 @@ def main():
 
             if isinstance(checkpointing_steps, int):
                 if completed_steps % checkpointing_steps == 0:
-                    output_dir = f"step_{completed_steps }"
+                    output_dir = f"step_{completed_steps}"
                     if args.output_dir is not None:
                         output_dir = os.path.join(args.output_dir, output_dir)
                     accelerator.save_state(output_dir)

examples/pytorch/language-modeling/run_mlm_no_trainer.py

@@ -670,7 +670,7 @@ def main():
 
             if isinstance(checkpointing_steps, int):
                 if completed_steps % checkpointing_steps == 0:
-                    output_dir = f"step_{completed_steps }"
+                    output_dir = f"step_{completed_steps}"
                     if args.output_dir is not None:
                         output_dir = os.path.join(args.output_dir, output_dir)
                     accelerator.save_state(output_dir)

examples/pytorch/language-modeling/run_plm.py

@@ -65,7 +65,7 @@ class ModelArguments:
         default=None,
         metadata={
             "help": (
-                "The model checkpoint for weights initialization.Don't set if you want to train a model from scratch."
+                "The model checkpoint for weights initialization. Don't set if you want to train a model from scratch."
             )
         },
     )