diff --git a/ablkit/learning/basic_nn.py b/ablkit/learning/basic_nn.py
index 03d2a74..b783b49 100644
--- a/ablkit/learning/basic_nn.py
+++ b/ablkit/learning/basic_nn.py
@@ -54,7 +54,7 @@ class BasicNN:
         in the ``fit`` and ``train_epoch`` methods. Defaults to None.
     test_transform : Callable[..., Any], optional
         A function/transform that takes an object and returns a transformed version in the
-        ``predict``, ``predict_proba`` and ``score`` methods.Defaults to None.
+        ``predict``, ``predict_proba`` and ``score`` methods. Defaults to None.
     collate_fn : Callable[[List[T]], Any], optional
         The function used to collate data. Defaults to None.
     """
diff --git a/ablkit/learning/model_converter.py b/ablkit/learning/model_converter.py
index 99eb56f..5237efe 100644
--- a/ablkit/learning/model_converter.py
+++ b/ablkit/learning/model_converter.py
@@ -71,7 +71,7 @@ class ModelConverter:
             in the `fit` and `train_epoch` methods. Defaults to None.
         test_transform : Callable[..., Any], optional
             A function/transform that takes an object and returns a transformed version in the
-            `predict`, `predict_proba` and `score` methods.Defaults to None.
+            `predict`, `predict_proba` and `score` methods. Defaults to None.
         collate_fn : Callable[[List[T]], Any], optional
             The function used to collate data. Defaults to None.
 
@@ -161,7 +161,7 @@ class ModelConverter:
             in the `fit` and `train_epoch` methods. Defaults to None.
         test_transform : Callable[..., Any], optional
             A function/transform that takes an object and returns a transformed version in the
-            `predict`, `predict_proba` and `score` methods.Defaults to None.
+            `predict`, `predict_proba` and `score` methods. Defaults to None.
         collate_fn : Callable[[List[T]], Any], optional
             The function used to collate data. Defaults to None.