diff --git a/egs/librispeech/ASR/conformer_ctc2/train.py b/egs/librispeech/ASR/conformer_ctc2/train.py
index 30764bb5f..d7baa229f 100755
--- a/egs/librispeech/ASR/conformer_ctc2/train.py
+++ b/egs/librispeech/ASR/conformer_ctc2/train.py
@@ -990,7 +990,7 @@ def run(rank, world_size, args):
         train_cuts, sampler_state_dict=sampler_state_dict
     )
 
-    valid_cuts = librispeech.dev_cuts()
+    valid_cuts = librispeech.dev_clean_cuts()
     valid_cuts += librispeech.dev_other_cuts()
     valid_dl = librispeech.valid_dataloaders(valid_cuts)
 
diff --git a/egs/librispeech/ASR/pruned_transducer_stateless2/scaling.py b/egs/librispeech/ASR/pruned_transducer_stateless2/scaling.py
index c190be626..26a8cca44 100644
--- a/egs/librispeech/ASR/pruned_transducer_stateless2/scaling.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless2/scaling.py
@@ -643,7 +643,8 @@ class ScaledEmbedding(nn.Module):
             )
 
     def extra_repr(self) -> str:
-        s = "{num_embeddings}, {embedding_dim}, scale={scale}"
+        # s = "{num_embeddings}, {embedding_dim}, scale={scale}"
+        s = "{num_embeddings}, {embedding_dim}"
         if self.padding_idx is not None:
             s += ", padding_idx={padding_idx}"
         if self.scale_grad_by_freq is not False: