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 9c99947f4..a31387e0d 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 cdd630744..819667c41 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
@@ -65,7 +65,7 @@ class FairSeqData2VecEncoder(EncoderInterface):
         )
         model = models[0]
         model.feature_grad_mult = 0.0 ## for conv network freeze
-        model.mask_prob = 0.5 ## for conv network freeze
+        model.mask_prob = 0.0 ## for conv network freeze
         
         self.encoders = model
         self.pretrained_params = copy.deepcopy(model.state_dict())