Fix typo in docstring for teacher_model_init_kwargs (#5260)

Author: albertvillanova

trl/experimental/gkd/gkd_config.py

@@ -42,7 +42,7 @@ class GKDConfig(SFTConfig):
         teacher_model_name_or_path (`str`, *optional*):
             Model name or path of the teacher model. If `None`, the teacher model will be the same as the model being
             trained.
-        teacher_model_init_kwargs (`dict[str, Any]]`, *optional*):
+        teacher_model_init_kwargs (`dict[str, Any]`, *optional*):
             Keyword arguments to pass to `AutoModelForCausalLM.from_pretrained` when instantiating the teacher model
             from a string.
         disable_dropout (`bool`, *optional*, defaults to `True`):

trl/experimental/gold/gold_config.py

@@ -42,7 +42,7 @@ class GOLDConfig(SFTConfig):
         teacher_model_name_or_path (`str` or `None`, *optional*, defaults to `None`):
             Model name or path of the teacher model. If `None`, the teacher model will be the same as the model being
             trained.
-        teacher_model_init_kwargs (`dict[str, Any]]` or `None`, *optional*, defaults to `None`):
+        teacher_model_init_kwargs (`dict[str, Any]` or `None`, *optional*, defaults to `None`):
             Keyword arguments to pass to `AutoModelForCausalLM.from_pretrained` when instantiating the teacher model
             from a string.
         teacher_tokenizer_name_or_path (`str` or `None`, *optional*, defaults to `None`):

trl/experimental/minillm/minillm_config.py

@@ -29,7 +29,7 @@ class MiniLLMConfig(GRPOConfig):
     arguments, please refer to the [`~transformers.TrainingArguments`] and [`GRPOConfig`] documentation.
 
     Args:
-        teacher_model_init_kwargs (`dict[str, Any]]`, *optional*):
+        teacher_model_init_kwargs (`dict[str, Any]`, *optional*):
             Keyword arguments to pass to `AutoModelForCausalLM.from_pretrained` when instantiating the teacher model
             from a string.
         disable_dropout (`bool`, *optional*, defaults to `True`):