diff --git a/facelib/FANSegmentator.py b/facelib/FANSegmentator.py
index 4bcfe3c..47a4fa1 100644
--- a/facelib/FANSegmentator.py
+++ b/facelib/FANSegmentator.py
@@ -49,8 +49,9 @@ class FANSegmentator(object):
                     io.log_err("Unable to load VGG11 pretrained weights from vgg11_enc_weights.npy")
 
         if training:
-            self.model.compile(loss='mse', optimizer=Adam(tf_cpu_mode=2))
-
+            #self.model.compile(loss='mse', optimizer=Adam(tf_cpu_mode=2))
+            self.model.compile(loss='binary_crossentropy', optimizer=Adam(tf_cpu_mode=2), metrics=['accuracy'])
+            
     def __enter__(self):
         return self
 
diff --git a/models/Model_FANSEG/Model.py b/models/Model_FANSEG/Model.py
index 0153bab..7f92161 100644
--- a/models/Model_FANSEG/Model.py
+++ b/models/Model_FANSEG/Model.py
@@ -56,9 +56,9 @@ class Model(ModelBase):
     def onTrainOneIter(self, generators_samples, generators_list):
         target_src, target_src_mask = generators_samples[0]
 
-        loss = self.fan_seg.train_on_batch( [target_src], [target_src_mask] )
+        loss,acc = self.fan_seg.train_on_batch( [target_src], [target_src_mask] )
 
-        return ( ('loss', loss), )
+        return ( ('loss', loss), ('acc',acc))
         
     #override
     def onGetPreview(self, sample):