diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.data2vec_audio.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.data2vec_audio.py.swp
index 4b53c9534..7b3a3ea98 100644
Binary files a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.data2vec_audio.py.swp and b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.data2vec_audio.py.swp differ
diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_audio.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_audio.py
index 81cacba88..b384f6d40 100644
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_audio.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_audio.py
@@ -39,7 +39,9 @@ logger = logging.getLogger().setLevel(logging.INFO)
 class TransformerEncoderAdapter(TransformerEncoder):
     def __init__(self, args: Wav2Vec2Config):
         super().__init__(args)
-        self.adapters = ResidualAdapterModule()
+        #self.adapters = ResidualAdapterModule()
+        self.adapters = ConvolutionModule(768, 31)
+
         for p in self.adapters.parameters():
             #p.data = nn.Parameter(torch.zeros(p.size()).to('cuda'))
             p.data = nn.Parameter(torch.randn(p.size()).to('cuda')/50.)