fix: The 'warn' method is deprecated (#11105)

* The 'warn' method is deprecated

* fix test

tests/sagemaker/scripts/pytorch/run_glue_model_parallelism.py

@@ -353,7 +353,7 @@ def main():
         if list(sorted(label_name_to_id.keys())) == list(sorted(label_list)):
             label_to_id = {i: int(label_name_to_id[label_list[i]]) for i in range(num_labels)}
         else:
-            logger.warn(
+            logger.warning(
                 "Your model seems to have been trained with labels, but they don't match the dataset: ",
                 f"model labels: {list(sorted(label_name_to_id.keys()))}, dataset labels: {list(sorted(label_list))}."
                 "\nIgnoring the model labels as a result.",
@@ -362,7 +362,7 @@ def main():
         label_to_id = {v: i for i, v in enumerate(label_list)}
 
     if data_args.max_seq_length > tokenizer.model_max_length:
-        logger.warn(
+        logger.warning(
             f"The max_seq_length passed ({data_args.max_seq_length}) is larger than the maximum length for the"
             f"model ({tokenizer.model_max_length}). Using max_seq_length={tokenizer.model_max_length}."
         )

tests/test_logging.py

@@ -51,7 +51,7 @@ class HfArgumentParserTest(unittest.TestCase):
         # should be able to log warnings (if default settings weren't overridden by `pytest --log-level-all`)
         if level_origin <= logging.WARNING:
             with CaptureLogger(logger) as cl:
-                logger.warn(msg)
+                logger.warning(msg)
             self.assertEqual(cl.out, msg + "\n")
 
         # this is setting the level for all of `transformers.*` loggers
@@ -59,7 +59,7 @@ class HfArgumentParserTest(unittest.TestCase):
 
         # should not be able to log warnings
         with CaptureLogger(logger) as cl:
-            logger.warn(msg)
+            logger.warning(msg)
         self.assertEqual(cl.out, "")
 
         # should be able to log warnings again

tests/test_trainer_callback.py

@@ -234,7 +234,7 @@ class TrainerCallbackTest(unittest.TestCase):
         self.assertEqual(events, self.get_expected_events(trainer))
 
         # warning should be emitted for duplicated callbacks
-        with unittest.mock.patch("transformers.trainer_callback.logger.warn") as warn_mock:
+        with unittest.mock.patch("transformers.trainer_callback.logger.warning") as warn_mock:
             trainer = self.get_trainer(
                 callbacks=[MyTestTrainerCallback, MyTestTrainerCallback],
             )