diff --git a/tqdm/keras.py b/tqdm/keras.py
index 54c99079..b54e7563 100644
--- a/tqdm/keras.py
+++ b/tqdm/keras.py
@@ -28,7 +28,7 @@ class TqdmCallback(keras.callbacks.Callback):
         return callback
 
     def __init__(self, epochs=None, data_size=None, batch_size=None, verbose=1,
-                 tqdm_class=tqdm_auto):
+                 tqdm_class=tqdm_auto, **tqdm_kwargs):
         """
         Parameters
         ----------
@@ -43,9 +43,13 @@ class TqdmCallback(keras.callbacks.Callback):
             are given.
         tqdm_class : optional
             `tqdm` class to use for bars [default: `tqdm.auto.tqdm`].
+        tqdm_kwargs  : optional
+            Any other arguments used for initial bars.
+            Instead, for passing arguments to all bars, create a custom
+            `tqdm_class`.
         """
         self.tqdm_class = tqdm_class
-        self.epoch_bar = tqdm_class(total=epochs, unit='epoch')
+        self.epoch_bar = tqdm_class(total=epochs, unit='epoch', **tqdm_kwargs)
         self.on_epoch_end = self.bar2callback(self.epoch_bar)
         if data_size and batch_size:
             self.batches = batches = (data_size + batch_size - 1) // batch_size
@@ -54,7 +58,7 @@ class TqdmCallback(keras.callbacks.Callback):
         self.verbose = verbose
         if verbose == 1:
             self.batch_bar = tqdm_class(total=batches, unit='batch',
-                                        leave=False)
+                                        leave=False, **tqdm_kwargs)
             self.on_batch_end = self.bar2callback(
                 self.batch_bar,
                 pop=['batch', 'size'],