diff --git a/examples/tacotron2_aishell3/tacotron2_msp.py b/examples/tacotron2_aishell3/tacotron2_msp.py
index 419654b..e64c4e3 100644
--- a/examples/tacotron2_aishell3/tacotron2_msp.py
+++ b/examples/tacotron2_aishell3/tacotron2_msp.py
@@ -495,7 +495,7 @@ class Tacotron2Decoder(nn.Layer):
             if int(paddle.argmax(alignment[0])) == T_enc - 1:
                 if (first_hit_end is None):
                     first_hit_end = i
-            if first_hit_end is not None and i > (first_hit_end + 6):
+            if first_hit_end is not None and i > (first_hit_end + 10):
                 print("content exhausted!")
                 break
             if len(mel_outputs) == max_decoder_steps:
diff --git a/examples/tacotron2_vctk/train.py b/examples/tacotron2_vctk/train.py
index aaaca48..f3e8cba 100644
--- a/examples/tacotron2_vctk/train.py
+++ b/examples/tacotron2_vctk/train.py
@@ -115,7 +115,7 @@ class TacotronVCTKExperiment(ExperimentBase):
         self.optimizer.step()
         iteration_time = time.time() - start
 
-        losses_np = {k: float(v) for k, v in losses.items()}
+        losses_np = {k: float(v.detach()) for k, v in losses.items()}
         # logging
         msg = "Rank: {}, ".format(dist.get_rank())
         msg += "step: {}, ".format(self.iteration)