[docs] fix some bugs about parameter description (#28806)

Co-authored-by: p_spozzhang <p_spozzhang@tencent.com>

examples/tensorflow/language-modeling/run_clm.py

@@ -132,7 +132,7 @@ class ModelArguments:
         default=False,
         metadata={
             "help": (
-                "Whether or not to allow for custom models defined on the Hub in their own modeling files. This option"
+                "Whether or not to allow for custom models defined on the Hub in their own modeling files. This option "
                 "should only be set to `True` for repositories you trust and in which you have read the code, as it will "
                 "execute code present on the Hub on your local machine."
             )

examples/tensorflow/language-modeling/run_mlm.py

@@ -130,7 +130,7 @@ class ModelArguments:
         default=False,
         metadata={
             "help": (
-                "Whether or not to allow for custom models defined on the Hub in their own modeling files. This option"
+                "Whether or not to allow for custom models defined on the Hub in their own modeling files. This option "
                 "should only be set to `True` for repositories you trust and in which you have read the code, as it will "
                 "execute code present on the Hub on your local machine."
             )

examples/tensorflow/multiple-choice/run_swag.py

@@ -166,7 +166,7 @@ class ModelArguments:
         default=False,
         metadata={
             "help": (
-                "Whether or not to allow for custom models defined on the Hub in their own modeling files. This option"
+                "Whether or not to allow for custom models defined on the Hub in their own modeling files. This option "
                 "should only be set to `True` for repositories you trust and in which you have read the code, as it will "
                 "execute code present on the Hub on your local machine."
             )

examples/tensorflow/question-answering/run_qa.py

@@ -111,7 +111,7 @@ class ModelArguments:
         default=False,
         metadata={
             "help": (
-                "Whether or not to allow for custom models defined on the Hub in their own modeling files. This option"
+                "Whether or not to allow for custom models defined on the Hub in their own modeling files. This option "
                 "should only be set to `True` for repositories you trust and in which you have read the code, as it will "
                 "execute code present on the Hub on your local machine."
             )

examples/tensorflow/summarization/run_summarization.py

@@ -119,7 +119,7 @@ class ModelArguments:
         default=False,
         metadata={
             "help": (
-                "Whether or not to allow for custom models defined on the Hub in their own modeling files. This option"
+                "Whether or not to allow for custom models defined on the Hub in their own modeling files. This option "
                 "should only be set to `True` for repositories you trust and in which you have read the code, as it will "
                 "execute code present on the Hub on your local machine."
             )

examples/tensorflow/text-classification/run_glue.py

@@ -184,7 +184,7 @@ class ModelArguments:
         default=False,
         metadata={
             "help": (
-                "Whether or not to allow for custom models defined on the Hub in their own modeling files. This option"
+                "Whether or not to allow for custom models defined on the Hub in their own modeling files. This option "
                 "should only be set to `True` for repositories you trust and in which you have read the code, as it will "
                 "execute code present on the Hub on your local machine."
             )

examples/tensorflow/text-classification/run_text_classification.py

@@ -204,7 +204,7 @@ class ModelArguments:
         default=False,
         metadata={
             "help": (
-                "Whether or not to allow for custom models defined on the Hub in their own modeling files. This option"
+                "Whether or not to allow for custom models defined on the Hub in their own modeling files. This option "
                 "should only be set to `True` for repositories you trust and in which you have read the code, as it will "
                 "execute code present on the Hub on your local machine."
             )

examples/tensorflow/token-classification/run_ner.py

@@ -95,7 +95,7 @@ class ModelArguments:
         default=False,
         metadata={
             "help": (
-                "Whether or not to allow for custom models defined on the Hub in their own modeling files. This option"
+                "Whether or not to allow for custom models defined on the Hub in their own modeling files. This option "
                 "should only be set to `True` for repositories you trust and in which you have read the code, as it will "
                 "execute code present on the Hub on your local machine."
             )

examples/tensorflow/translation/run_translation.py

@@ -113,7 +113,7 @@ class ModelArguments:
         default=False,
         metadata={
             "help": (
-                "Whether or not to allow for custom models defined on the Hub in their own modeling files. This option"
+                "Whether or not to allow for custom models defined on the Hub in their own modeling files. This option "
                 "should only be set to `True` for repositories you trust and in which you have read the code, as it will "
                 "execute code present on the Hub on your local machine."
             )

src/transformers/trainer_utils.py

@@ -373,6 +373,7 @@ def speed_metrics(split, start_time, num_samples=None, num_steps=None, num_token
     - split: name to prefix metric (like train, eval, test...)
     - start_time: operation start time
     - num_samples: number of samples processed
+    - num_steps: number of steps processed
     - num_tokens: number of tokens processed
     """
     runtime = time.time() - start_time