Fix doc errors and typos across the board (#8139)

* Fix doc errors and typos across the board

* Fix a typo

* Fix the CI

* Fix more typos

* Fix CI

* More fixes

* Fix CI

* More fixes

* More fixes

tests/test_logging.py

@@ -34,7 +34,7 @@ class HfArgumentParserTest(unittest.TestCase):
         logger = logging.get_logger("transformers.tokenization_bart")
         msg = "Testing 1, 2, 3"
 
-        # should be able to log warnings (if default settings weren't overriden by `pytest --log-level-all`)
+        # 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)

tests/test_modeling_common.py

@@ -1130,7 +1130,7 @@ class UtilsFunctionsTest(unittest.TestCase):
                     2.12662941,
                     -9.32562038,
                     2.35652522,
-                ],  # cummulative prob of 5 highest values <= 0.6
+                ],  # cumulative prob of 5 highest values <= 0.6
                 [
                     0.58425518,
                     4.53139238,
@@ -1162,7 +1162,7 @@ class UtilsFunctionsTest(unittest.TestCase):
                     9.67702323,  # 1st highest value; idx. 27
                     -5.89478553,
                     1.85370467,
-                ],  # cummulative prob of 5 highest values <= 0.6
+                ],  # cumulative prob of 5 highest values <= 0.6
             ],
             dtype=torch.float,
             device=torch_device,

tests/test_modeling_tf_lxmert.py

@@ -497,7 +497,7 @@ class TFLxmertModelTest(TFModelTesterMixin, unittest.TestCase):
                 return_obj_labels="PreTraining" in model_class.__name__
             )
 
-            pt_model_class_name = model_class.__name__[2:]  # Skip the "TF" at the beggining
+            pt_model_class_name = model_class.__name__[2:]  # Skip the "TF" at the beginning
             pt_model_class = getattr(transformers, pt_model_class_name)
 
             config.output_hidden_states = True