Add many missing spaces in adjacent strings (#26751)

Add missing spaces in adjacent strings

examples/legacy/multiple_choice/utils_multiple_choice.py

@@ -379,7 +379,7 @@ class SwagProcessor(DataProcessor):
         """See base class."""
         logger.info("LOOKING AT {} dev".format(data_dir))
         raise ValueError(
-            "For swag testing, the input file does not contain a label column. It can not be tested in current code"
+            "For swag testing, the input file does not contain a label column. It can not be tested in current code "
             "setting!"
         )
         return self._create_examples(self._read_csv(os.path.join(data_dir, "test.csv")), "test")
@@ -541,7 +541,7 @@ def convert_examples_to_features(
             if "num_truncated_tokens" in inputs and inputs["num_truncated_tokens"] > 0:
                 logger.info(
                     "Attention! you are cropping tokens (swag task is ok). "
-                    "If you are training ARC and RACE and you are poping question + options,"
+                    "If you are training ARC and RACE and you are poping question + options, "
                     "you need to try to use a bigger max seq length!"
                 )
 

examples/legacy/pytorch-lightning/lightning_base.py

@@ -313,7 +313,7 @@ def add_generic_args(parser, root_dir) -> None:
         type=str,
         default="O2",
         help=(
-            "For fp16: Apex AMP optimization level selected in ['O0', 'O1', 'O2', and 'O3']."
+            "For fp16: Apex AMP optimization level selected in ['O0', 'O1', 'O2', and 'O3']. "
             "See details at https://nvidia.github.io/apex/amp.html"
         ),
     )

examples/legacy/question-answering/run_squad.py

@@ -663,7 +663,7 @@ def main():
         type=str,
         default="O1",
         help=(
-            "For fp16: Apex AMP optimization level selected in ['O0', 'O1', 'O2', and 'O3']."
+            "For fp16: Apex AMP optimization level selected in ['O0', 'O1', 'O2', and 'O3']. "
             "See details at https://nvidia.github.io/apex/amp.html"
         ),
     )

examples/legacy/run_language_modeling.py

@@ -149,7 +149,7 @@ class DataTrainingArguments:
         default=-1,
         metadata={
             "help": (
-                "Optional input sequence length after tokenization."
+                "Optional input sequence length after tokenization. "
                 "The training dataset will be truncated in block of this size for training."
                 "Default to the model max input length for single sentence inputs (take into account special tokens)."
             )
@@ -283,7 +283,7 @@ def main():
 
     if config.model_type in ["bert", "roberta", "distilbert", "camembert"] and not data_args.mlm:
         raise ValueError(
-            "BERT and RoBERTa-like models do not have LM heads but masked LM heads. They must be run using the"
+            "BERT and RoBERTa-like models do not have LM heads but masked LM heads. They must be run using the "
             "--mlm flag (masked language modeling)."
         )
 

examples/legacy/run_swag.py

@@ -579,7 +579,7 @@ def main():
         type=str,
         default="O1",
         help=(
-            "For fp16: Apex AMP optimization level selected in ['O0', 'O1', 'O2', and 'O3']."
+            "For fp16: Apex AMP optimization level selected in ['O0', 'O1', 'O2', and 'O3']. "
             "See details at https://nvidia.github.io/apex/amp.html"
         ),
     )