diff --git a/modules/deeplearning/icing_only_fcn.py b/modules/deeplearning/icing_only_fcn.py
index e31328a84448e15ade24c5849599ab62f7d64400..e79165b7d7b1046f8bdec551ea6bf0c88ac34ffa 100644
--- a/modules/deeplearning/icing_only_fcn.py
+++ b/modules/deeplearning/icing_only_fcn.py
@@ -20,8 +20,8 @@ if NumClasses == 2:
 else:
     NumLogits = NumClasses
 
-BATCH_SIZE = 128
-NUM_EPOCHS = 50
+BATCH_SIZE = 64
+NUM_EPOCHS = 60
 
 TRACK_MOVING_AVERAGE = False
 EARLY_STOP = True
@@ -721,7 +721,7 @@ class IcingIntensityFCN:
             self.loss = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=False)  # For multi-class
 
         # decayed_learning_rate = learning_rate * decay_rate ^ (global_step / decay_steps)
-        initial_learning_rate = 0.002
+        initial_learning_rate = 0.001
         decay_rate = 0.95
         steps_per_epoch = int(self.num_data_samples/BATCH_SIZE)  # one epoch
         decay_steps = int(steps_per_epoch)