Adding docs for verbose= modes in Keras.model.fit

PiperOrigin-RevId: 248436331

tensorflow/python/keras/engine/training.py

@@ -481,8 +481,11 @@ class Model(network.Network):
             The model is not trained for a number of iterations
             given by `epochs`, but merely until the epoch
             of index `epochs` is reached.
-        verbose: Integer. 0, 1, or 2. Verbosity mode.
+        verbose: 0, 1, or 2. Verbosity mode.
             0 = silent, 1 = progress bar, 2 = one line per epoch.
+            Note that the progress bar is not particularly useful when
+            logged to a file, so verbose=2 is recommended when not running
+            interactively (eg, in a production environment).
         callbacks: List of `keras.callbacks.Callback` instances.
             List of callbacks to apply during training.
             See `tf.keras.callbacks`.

tensorflow/python/keras/engine/training_arrays.py

@@ -72,7 +72,11 @@ def model_iteration(model,
       sample_weights: Optional list of sample weight arrays.
       batch_size: Integer batch size or None if unknown.
       epochs: Number of times to iterate over the data
-      verbose: Verbosity mode, 0, 1 or 2
+      verbose: 0, 1, or 2. Verbosity mode.
+        0 = silent, 1 = progress bar, 2 = one line per epoch.
+        Note that the progress bar is not particularly useful when
+        logged to a file, so verbose=2 is recommended when not running
+        interactively (eg, in a production environment).
       callbacks: List of callbacks to be called during training
       val_inputs: Either a list or dictionary of arrays, or a dataset instance.
       val_targets: List/dictionary of target arrays.

tensorflow/python/keras/engine/training_generator.py

@@ -68,7 +68,11 @@ def model_iteration(model,
         declaring one epoch finished and starting the next epoch. Ignored with
         the default value of `None`.
       epochs: Number of times to iterate over the data.
-      verbose: Verbosity mode, 0, 1 or 2.
+      verbose: 0, 1, or 2. Verbosity mode.
+        0 = silent, 1 = progress bar, 2 = one line per epoch.
+        Note that the progress bar is not particularly useful when
+        logged to a file, so verbose=2 is recommended when not running
+        interactively (eg, in a production environment).
       callbacks: List of callbacks to be called during training.
       validation_data: Either a tuple of NumPy/Tensor inputs (i.e. `(x,)` or
         `(x, y)` or `(x, y, sample_weights)`) or a generator or