diff --git a/toolkit.py b/toolkit.py
index 3d862f5d27f7f36062635a5d906bff5e15bb0a07..d708ee11ac90375624ffc3b7fb0218562d73d677 100755
--- a/toolkit.py
+++ b/toolkit.py
@@ -92,6 +92,8 @@ class KerasROOTClassification(object):
 
     :param optimizer_opts: dictionary of options for the optimizer
 
+    :param use_earlystopping: set true to use the keras EarlyStopping callback
+
     :param earlystopping_opts: options for the keras EarlyStopping callback
 
     :param random_seed: use this seed value when initialising the model and produce consistent results. Note:
@@ -138,6 +140,7 @@ class KerasROOTClassification(object):
                         step_bkg=2,
                         optimizer="SGD",
                         optimizer_opts=None,
+                        use_earlystopping=True,
                         earlystopping_opts=None,
                         random_seed=1234):
 
@@ -158,6 +161,7 @@ class KerasROOTClassification(object):
         self.step_signal = step_signal
         self.step_bkg = step_bkg
         self.optimizer = optimizer
+        self.use_earlystopping = use_earlystopping
         if optimizer_opts is None:
             optimizer_opts = dict()
         self.optimizer_opts = optimizer_opts
@@ -332,8 +336,8 @@ class KerasROOTClassification(object):
     def callbacks_list(self):
         if not self._callbacks_list:
             self._callbacks_list.append(self.history)
-            self._callbacks_list.append(EarlyStopping(**self.earlystopping_opts))
-
+            if self.use_earlystopping:
+                self._callbacks_list.append(EarlyStopping(**self.earlystopping_opts))
         return self._callbacks_list