diff --git a/litellm/fine_tuning/main.py b/litellm/fine_tuning/main.py
index b41ced1b9..eb5c7d4a4 100644
--- a/litellm/fine_tuning/main.py
+++ b/litellm/fine_tuning/main.py
@@ -34,7 +34,7 @@ openai_fine_tuning_instance = OpenAIFineTuningAPI()
 async def acreate_fine_tuning_job(
     model: str,
     training_file: str,
-    hyperparameters: Optional[Hyperparameters] = {},
+    hyperparameters: Optional[Hyperparameters] = {},  # type: ignore
     suffix: Optional[str] = None,
     validation_file: Optional[str] = None,
     integrations: Optional[List[str]] = None,
@@ -84,7 +84,7 @@ async def acreate_fine_tuning_job(
 def create_fine_tuning_job(
     model: str,
     training_file: str,
-    hyperparameters: Optional[Hyperparameters] = {},
+    hyperparameters: Optional[Hyperparameters] = {},  # type: ignore
     suffix: Optional[str] = None,
     validation_file: Optional[str] = None,
     integrations: Optional[List[str]] = None,
diff --git a/litellm/llms/openai_fine_tuning/openai.py b/litellm/llms/openai_fine_tuning/openai.py
index b955b9ce8..d81ed3760 100644
--- a/litellm/llms/openai_fine_tuning/openai.py
+++ b/litellm/llms/openai_fine_tuning/openai.py
@@ -54,7 +54,7 @@ class OpenAIFineTuningAPI(BaseLLM):
         openai_client: AsyncOpenAI,
     ) -> FineTuningJob:
         response = await openai_client.fine_tuning.jobs.create(
-            **create_fine_tuning_job_data
+            **create_fine_tuning_job_data  # type: ignore
         )
         return response
 
@@ -68,7 +68,7 @@ class OpenAIFineTuningAPI(BaseLLM):
         max_retries: Optional[int],
         organization: Optional[str],
         client: Optional[Union[OpenAI, AsyncOpenAI]] = None,
-    ) -> Union[Coroutine[Any, Any, FineTuningJob]]:
+    ) -> Union[FineTuningJob, Union[Coroutine[Any, Any, FineTuningJob]]]:
         openai_client: Optional[Union[OpenAI, AsyncOpenAI]] = self.get_openai_client(
             api_key=api_key,
             api_base=api_base,
@@ -154,7 +154,7 @@ class OpenAIFineTuningAPI(BaseLLM):
         after: Optional[str] = None,
         limit: Optional[int] = None,
     ):
-        response = await openai_client.fine_tuning.jobs.list(after=after, limit=limit)
+        response = await openai_client.fine_tuning.jobs.list(after=after, limit=limit)  # type: ignore
         return response
 
     def list_fine_tuning_jobs(
@@ -194,6 +194,6 @@ class OpenAIFineTuningAPI(BaseLLM):
                 openai_client=openai_client,
             )
         verbose_logger.debug("list fine tuning job, after= %s, limit= %s", after, limit)
-        response = openai_client.fine_tuning.jobs.list(after=after, limit=limit)
+        response = openai_client.fine_tuning.jobs.list(after=after, limit=limit)  # type: ignore
         return response
         pass
diff --git a/litellm/types/llms/openai.py b/litellm/types/llms/openai.py
index d6dbb8f5f..396e58e99 100644
--- a/litellm/types/llms/openai.py
+++ b/litellm/types/llms/openai.py
@@ -487,13 +487,11 @@ class FineTuningJobCreate(TypedDict):
     ```
     """
 
-    model: str = Field(..., description="The name of the model to fine-tune.")
-    training_file: str = Field(
-        ..., description="The ID of an uploaded file that contains training data."
-    )
-    hyperparameters: Optional[Hyperparameters] = Field(
-        default={}, description="The hyperparameters used for the fine-tuning job."
-    )
+    model: str  # "The name of the model to fine-tune."
+    training_file: str  # "The ID of an uploaded file that contains training data."
+    hyperparameters: Optional[
+        Hyperparameters
+    ]  # "The hyperparameters used for the fine-tuning job."
     suffix: Optional[
         str
     ]  # "A string of up to 18 characters that will be added to your fine-tuned model name."
@@ -504,21 +502,3 @@ class FineTuningJobCreate(TypedDict):
         List[str]
     ]  # "A list of integrations to enable for your fine-tuning job."
     seed: Optional[int]  # "The seed controls the reproducibility of the job."
-
-    class Config:
-        allow_population_by_field_name = True
-        schema_extra = {
-            "example": {
-                "model": "gpt-3.5-turbo",
-                "training_file": "file-abc123",
-                "hyperparameters": {
-                    "batch_size": "auto",
-                    "learning_rate_multiplier": 0.1,
-                    "n_epochs": 3,
-                },
-                "suffix": "custom-model-name",
-                "validation_file": "file-xyz789",
-                "integrations": ["slack"],
-                "seed": 42,
-            }
-        }