diff --git a/egs/librispeech/ASR/.full_ft_all.sh.swp b/egs/librispeech/ASR/.full_ft_all.sh.swp
index 9d949bbc0..9f59ff4e2 100644
Binary files a/egs/librispeech/ASR/.full_ft_all.sh.swp and b/egs/librispeech/ASR/.full_ft_all.sh.swp differ
diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.data2vec_encoder.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.data2vec_encoder.py.swp
index b005b0ac6..9db3d6a01 100644
Binary files a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.data2vec_encoder.py.swp and b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.data2vec_encoder.py.swp differ
diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_encoder.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_encoder.py
index 1470360fe..c32d5f512 100644
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_encoder.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_encoder.py
@@ -66,9 +66,9 @@ class FairSeqData2VecEncoder(EncoderInterface):
         model = models[0]
         model.feature_grad_mult = 0.0 ## for conv network freeze
         ## prevent overfitting
-        #model.mask_prob = 0.65
-        #model.mask_channel_prob = 0.5
-        #model.mask_channel_length = 64
+        model.mask_prob = 0.65
+        model.mask_channel_prob = 0.5
+        model.mask_channel_length = 64
         #model.activation_dropout = 0.1 
         
         self.encoders = model