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 62735843d..8f7d78a0e 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 b3c482c1d..9ce51e60f 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
@@ -69,7 +69,7 @@ class FairSeqData2VecEncoder(EncoderInterface):
         model.mask_prob = 0.65
         model.mask_channel_prob = 0.5
         model.mask_channel_length = 64
-        model.activation_dropout = 0.1 
+        #model.activation_dropout = 0.1 
         
         self.encoders = model
         self.pretrained_params = copy.deepcopy(model.state_dict())