diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v/.train.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v/.train.py.swp
index 95dbd46cc..accc2c768 100644
Binary files a/egs/librispeech/ASR/pruned_transducer_stateless_d2v/.train.py.swp and b/egs/librispeech/ASR/pruned_transducer_stateless_d2v/.train.py.swp differ
diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train.py.swp
index c6d46217f..9f1aa5282 100644
Binary files a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train.py.swp and b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train.py.swp differ
diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py
index 8dac60025..ce4c9aab4 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py
@@ -444,7 +444,7 @@ def get_params() -> AttributeDict:
             "valid_interval": 3000,  # For the 100h subset, use 800
             # parameters for zipformer
             "feature_dim": 80,
-            "subsampling_factor": 320,  # not passed in, this is fixed.
+            "subsampling_factor": 1,  # not passed in, this is fixed.
             # parameters for ctc loss
             "beam_size": 10,
             "use_double_scores": True,