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

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

examples/pytorch/question-answering/run_qa.py

@@ -99,7 +99,7 @@ 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/pytorch/question-answering/run_qa_no_trainer.py

@@ -278,7 +278,7 @@ def parse_args():
         type=bool,
         default=False,
         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/pytorch/question-answering/run_seq2seq_qa.py

@@ -100,7 +100,7 @@ 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/pytorch/semantic-segmentation/run_semantic_segmentation.py

@@ -261,7 +261,7 @@ 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/pytorch/semantic-segmentation/run_semantic_segmentation_no_trainer.py

@@ -278,7 +278,7 @@ def parse_args():
         type=bool,
         default=False,
         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/pytorch/speech-recognition/run_speech_recognition_ctc.py

@@ -262,7 +262,7 @@ class DataTrainingArguments:
         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/pytorch/speech-recognition/run_speech_recognition_ctc_adapter.py

@@ -251,7 +251,7 @@ class DataTrainingArguments:
         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/pytorch/speech-recognition/run_speech_recognition_seq2seq.py

@@ -105,7 +105,7 @@ 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/pytorch/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/pytorch/summarization/run_summarization_no_trainer.py

@@ -271,7 +271,7 @@ def parse_args():
         type=bool,
         default=False,
         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/pytorch/text-classification/run_classification.py

@@ -247,7 +247,7 @@ 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/pytorch/text-classification/run_glue.py

@@ -208,7 +208,7 @@ 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/pytorch/text-classification/run_glue_no_trainer.py

@@ -161,7 +161,7 @@ def parse_args():
         type=bool,
         default=False,
         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/pytorch/text-classification/run_xnli.py

@@ -172,7 +172,7 @@ 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/pytorch/token-classification/run_ner.py

@@ -99,7 +99,7 @@ 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/pytorch/token-classification/run_ner_no_trainer.py

@@ -215,7 +215,7 @@ def parse_args():
         type=bool,
         default=False,
         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/pytorch/translation/run_translation.py

@@ -109,7 +109,7 @@ 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/pytorch/translation/run_translation_no_trainer.py

@@ -262,7 +262,7 @@ def parse_args():
         type=bool,
         default=False,
         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/contrastive-image-text/run_clip.py

@@ -112,7 +112,7 @@ 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/image-classification/run_image_classification.py

@@ -178,7 +178,7 @@ 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."
             )