[CookieCutter] Clarify questions (#18959)

* Clarify cookiecutter questions

* Update first question
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

src/transformers/commands/add_new_model_like.py

@@ -1442,7 +1442,9 @@ def get_user_input():
     # Get old model type
     valid_model_type = False
     while not valid_model_type:
-        old_model_type = input("What is the model you would like to duplicate? ")
+        old_model_type = input(
+            "What is the model you would like to duplicate? Please provide the lowercase `model_type` (e.g. roberta): "
+        )
         if old_model_type in model_types:
             valid_model_type = True
         else:
@@ -1465,38 +1467,42 @@ def get_user_input():
             "We couldn't find the name of the base checkpoint for that model, please enter it here."
         )
 
-    model_name = get_user_field("What is the name for your new model?")
+    model_name = get_user_field(
+        "What is the name (with no special casing) for your new model in the paper (e.g. RoBERTa)? "
+    )
     default_patterns = ModelPatterns(model_name, model_name)
 
     model_type = get_user_field(
-        "What identifier would you like to use for the model type of this model?",
+        "What identifier would you like to use for the `model_type` of this model? ",
         default_value=default_patterns.model_type,
     )
     model_lower_cased = get_user_field(
-        "What name would you like to use for the module of this model?",
+        "What lowercase name would you like to use for the module (folder) of this model? ",
         default_value=default_patterns.model_lower_cased,
     )
     model_camel_cased = get_user_field(
-        "What prefix (camel-cased) would you like to use for the model classes of this model?",
+        "What prefix (camel-cased) would you like to use for the model classes of this model (e.g. Roberta)? ",
         default_value=default_patterns.model_camel_cased,
     )
     model_upper_cased = get_user_field(
-        "What prefix (upper-cased) would you like to use for the constants relative to this model?",
+        "What prefix (upper-cased) would you like to use for the constants relative to this model? ",
         default_value=default_patterns.model_upper_cased,
     )
     config_class = get_user_field(
-        "What will be the name of the config class for this model?", default_value=f"{model_camel_cased}Config"
+        "What will be the name of the config class for this model? ", default_value=f"{model_camel_cased}Config"
+    )
+    checkpoint = get_user_field(
+        "Please give a checkpoint identifier (on the model Hub) for this new model (e.g. facebook/roberta-base): "
     )
-    checkpoint = get_user_field("Please give a checkpoint identifier (on the model Hub) for this new model.")
 
     old_processing_classes = [
         c for c in [old_feature_extractor_class, old_tokenizer_class, old_processor_class] if c is not None
     ]
     old_processing_classes = ", ".join(old_processing_classes)
     keep_processing = get_user_field(
-        f"Will your new model use the same processing class as {old_model_type} ({old_processing_classes})?",
+        f"Will your new model use the same processing class as {old_model_type} ({old_processing_classes}) (yes/no)? ",
         convert_to=convert_to_bool,
-        fallback_message="Please answer yes/no, y/n, true/false or 1/0.",
+        fallback_message="Please answer yes/no, y/n, true/false or 1/0. ",
     )
     if keep_processing:
         feature_extractor_class = old_feature_extractor_class
@@ -1505,21 +1511,21 @@ def get_user_input():
     else:
         if old_tokenizer_class is not None:
             tokenizer_class = get_user_field(
-                "What will be the name of the tokenizer class for this model?",
+                "What will be the name of the tokenizer class for this model? ",
                 default_value=f"{model_camel_cased}Tokenizer",
             )
         else:
             tokenizer_class = None
         if old_feature_extractor_class is not None:
             feature_extractor_class = get_user_field(
-                "What will be the name of the feature extractor class for this model?",
+                "What will be the name of the feature extractor class for this model? ",
                 default_value=f"{model_camel_cased}FeatureExtractor",
             )
         else:
             feature_extractor_class = None
         if old_processor_class is not None:
             processor_class = get_user_field(
-                "What will be the name of the processor class for this model?",
+                "What will be the name of the processor class for this model? ",
                 default_value=f"{model_camel_cased}Processor",
             )
         else:
@@ -1539,7 +1545,7 @@ def get_user_input():
     )
 
     add_copied_from = get_user_field(
-        "Should we add # Copied from statements when creating the new modeling file?",
+        "Should we add # Copied from statements when creating the new modeling file (yes/no)? ",
         convert_to=convert_to_bool,
         default_value="yes",
         fallback_message="Please answer yes/no, y/n, true/false or 1/0.",
@@ -1547,7 +1553,7 @@ def get_user_input():
 
     all_frameworks = get_user_field(
         "Should we add a version of your new model in all the frameworks implemented by"
-        f" {old_model_type} ({old_frameworks})?",
+        f" {old_model_type} ({old_frameworks}) (yes/no)? ",
         convert_to=convert_to_bool,
         default_value="yes",
         fallback_message="Please answer yes/no, y/n, true/false or 1/0.",