Small docs updates (#1553)

Author: mattdangerw

keras_nlp/models/causal_lm.py

@@ -101,7 +101,7 @@ def compile(
                 instance. Defaults to `"auto"`, which uses the default optimizer
                 for the given model and task. See `keras.Model.compile` and
                 `keras.optimizers` for more info on possible `optimizer` values.
-            loss: `"auto"', a loss name, or a `keras.losses.Loss` instance.
+            loss: `"auto"`, a loss name, or a `keras.losses.Loss` instance.
                 Defaults to `"auto"`, where a
                 `keras.losses.SparseCategoricalCrossentropy` loss will be
                 applied for the token classification `CausalLM` task. See

keras_nlp/models/classifier.py

@@ -77,7 +77,7 @@ def compile(
                 instance. Defaults to `"auto"`, which uses the default optimizer
                 for the given model and task. See `keras.Model.compile` and
                 `keras.optimizers` for more info on possible `optimizer` values.
-            loss: `"auto"', a loss name, or a `keras.losses.Loss` instance.
+            loss: `"auto"`, a loss name, or a `keras.losses.Loss` instance.
                 Defaults to `"auto"`, where a
                 `keras.losses.SparseCategoricalCrossentropy` loss will be
                 applied for the classification task. See

keras_nlp/models/masked_lm.py

@@ -72,7 +72,7 @@ def compile(
                 instance. Defaults to `"auto"`, which uses the default optimizer
                 for the given model and task. See `keras.Model.compile` and
                 `keras.optimizers` for more info on possible `optimizer` values.
-            loss: `"auto"', a loss name, or a `keras.losses.Loss` instance.
+            loss: `"auto"`, a loss name, or a `keras.losses.Loss` instance.
                 Defaults to `"auto"`, where a
                 `keras.losses.SparseCategoricalCrossentropy` loss will be
                 applied for the token classification `MaskedLM` task. See

keras_nlp/models/task.py

@@ -105,7 +105,7 @@ def __setattr__(self, name, value):
 
     @property
     def backbone(self):
-        """A `keras.Model` instance providing the backbone sub-model."""
+        """A `keras_nlp.models.Backbone` model with the core architecture."""
         return getattr(self, "_backbone", None)
 
     @backbone.setter
@@ -114,7 +114,7 @@ def backbone(self, value):
 
     @property
     def preprocessor(self):
-        """A `keras.layers.Layer` instance used to preprocess inputs."""
+        """A `keras_nlp.models.Preprocessor` layer used to preprocess input."""
         return getattr(self, "_preprocessor", None)
 
     @preprocessor.setter