diff --git a/freqtrade/freqai/prediction_models/PyTorchMLPClassifier.py b/freqtrade/freqai/prediction_models/PyTorchMLPClassifier.py
index ce8fbd336..edba75c2a 100644
--- a/freqtrade/freqai/prediction_models/PyTorchMLPClassifier.py
+++ b/freqtrade/freqai/prediction_models/PyTorchMLPClassifier.py
@@ -41,12 +41,18 @@ class PyTorchMLPClassifier(PyTorchClassifier):
 
     """
 
-    def __init__(self, **kwargs):
+    def __init__(
+            self,
+            learning_rate: float = 3e-4,
+            model_kwargs: Dict[str, Any] = {},
+            trainer_kwargs: Dict[str, Any] = {},
+            **kwargs
+    ):
         super().__init__(**kwargs)
-        model_training_params = self.freqai_info.get("model_training_parameters", {})
-        self.learning_rate: float = model_training_params.get("learning_rate", 3e-4)
-        self.model_kwargs: Dict[str, any] = model_training_params.get("model_kwargs", {})
-        self.trainer_kwargs: Dict[str, any] = model_training_params.get("trainer_kwargs", {})
+        config = self.freqai_info.get("model_training_parameters", {})
+        self.learning_rate: float = config.get("learning_rate", learning_rate)
+        self.model_kwargs: Dict[str, any] = config.get("model_kwargs", model_kwargs)
+        self.trainer_kwargs: Dict[str, any] = config.get("trainer_kwargs", trainer_kwargs)
 
     def fit(self, data_dictionary: Dict, dk: FreqaiDataKitchen, **kwargs) -> Any:
         """
diff --git a/freqtrade/freqai/prediction_models/PyTorchMLPRegressor.py b/freqtrade/freqai/prediction_models/PyTorchMLPRegressor.py
index 4685c332a..2118c27e1 100644
--- a/freqtrade/freqai/prediction_models/PyTorchMLPRegressor.py
+++ b/freqtrade/freqai/prediction_models/PyTorchMLPRegressor.py
@@ -41,12 +41,18 @@ class PyTorchMLPRegressor(PyTorchRegressor):
 
     """
 
-    def __init__(self, **kwargs):
+    def __init__(
+            self,
+            learning_rate: float = 3e-4,
+            model_kwargs: Dict[str, Any] = {},
+            trainer_kwargs: Dict[str, Any] = {},
+            **kwargs
+    ):
         super().__init__(**kwargs)
-        model_training_params = self.freqai_info.get("model_training_parameters", {})
-        self.learning_rate: float = model_training_params.get("learning_rate", 3e-4)
-        self.model_kwargs: Dict[str, any] = model_training_params.get("model_kwargs", {})
-        self.trainer_kwargs: Dict[str, any] = model_training_params.get("trainer_kwargs", {})
+        config = self.freqai_info.get("model_training_parameters", {})
+        self.learning_rate: float = config.get("learning_rate", learning_rate)
+        self.model_kwargs: Dict[str, any] = config.get("model_kwargs", model_kwargs)
+        self.trainer_kwargs: Dict[str, any] = config.get("trainer_kwargs", trainer_kwargs)
 
     def fit(self, data_dictionary: Dict, dk: FreqaiDataKitchen, **kwargs) -> Any:
         """