Rename slightly; add docstring which'll go in docs

sentence_transformers/trainer.py

@@ -172,10 +172,6 @@ def __init__(
                 "the evaluation loss."
             )
 
-        # Get a dictionary of the default training arguments, so we can determine which arguments have been changed
-        # for the model card
-        default_args_dict = SentenceTransformerTrainingArguments(output_dir="unused").to_dict()
-
         # If the model ID is set via the SentenceTransformerTrainingArguments, but not via the SentenceTransformerModelCardData,
         # then we can set it here for the model card regardless
         if args.hub_model_id and not model.model_card_data.model_id:
@@ -277,11 +273,23 @@ def __init__(
             self.eval_dataset = self.maybe_add_prompts_or_dataset_name_column(
                 eval_dataset, args.prompts, dataset_name="eval"
             )
-        self.model_card_callback_init(default_args_dict)
+        self.add_model_card_callback()
+
+    def add_model_card_callback(self) -> None:
+        """
+        Add a callback responsible for automatically tracking data required for the automatic model card generation
+
+        This method is called in the ``__init__`` method of the
+        :class:`~sentence_transformers.trainer.SentenceTransformerTrainer` class.
+
+        .. note::
+
+            This method can be overriden by subclassing the trainer to remove/customize this callback in custom uses cases
+        """
+        # Get a dictionary of the default training arguments, so we can determine which arguments have been changed
+        # for the model card
+        default_args_dict = SentenceTransformerTrainingArguments(output_dir="unused").to_dict()
 
-    def model_card_callback_init(self, default_args_dict: dict[str, Any]) -> None:
-        # Add a callback responsible for automatically tracking data required for the automatic model card generation
-        # can be overriden by subclassing the trainer to remove/customize this callback in custom uses cases
         model_card_callback = ModelCardCallback(self, default_args_dict)
         self.add_callback(model_card_callback)
         model_card_callback.on_init_end(self.args, self.state, self.control, self.model)