diff --git a/keras/engine/training.py b/keras/engine/training.py
index 04977ca1cba..582239d1993 100644
--- a/keras/engine/training.py
+++ b/keras/engine/training.py
@@ -507,7 +507,7 @@ def compile(self,
     Args:
         optimizer: String (name of optimizer) or optimizer instance. See
           `tf.keras.optimizers`.
-        loss: Loss function. Maybe be a string (name of loss function), or
+        loss: Loss function. May be a string (name of loss function), or
           a `tf.keras.losses.Loss` instance. See `tf.keras.losses`. A loss
           function is any callable with the signature `loss = fn(y_true,
           y_pred)`, where `y_true` are the ground truth values, and
diff --git a/keras/preprocessing/text_dataset.py b/keras/preprocessing/text_dataset.py
index a5da9318f58..ab3619115d4 100644
--- a/keras/preprocessing/text_dataset.py
+++ b/keras/preprocessing/text_dataset.py
@@ -111,7 +111,7 @@ def text_dataset_from_directory(directory,
       `(batch_size,)`.
     - if `label_mode` is `binary`, the labels are a `float32` tensor of
       1s and 0s of shape `(batch_size, 1)`.
-    - if `label_mode` is `categorial`, the labels are a `float32` tensor
+    - if `label_mode` is `categorical`, the labels are a `float32` tensor
       of shape `(batch_size, num_classes)`, representing a one-hot
       encoding of the class index.
   """