diff --git a/egs/librispeech/ASR/README.md b/egs/librispeech/ASR/README.md
index 63c26647f..6ccf2fcc6 100644
--- a/egs/librispeech/ASR/README.md
+++ b/egs/librispeech/ASR/README.md
@@ -20,7 +20,7 @@ The following table lists the differences among them.
 | `pruned_transducer_stateless2`        | Conformer(modified) | Embedding + Conv1d | Using k2 pruned RNN-T loss                        |
 | `pruned_transducer_stateless3`        | Conformer(modified) | Embedding + Conv1d | Using k2 pruned RNN-T loss + using GigaSpeech as extra training data |
 | `pruned_transducer_stateless4`        | Conformer(modified) | Embedding + Conv1d | same as pruned_transducer_stateless2 + save averaged models periodically during training                        |
-| `pruned_transducer_stateless5`        | Conformer(modified) | Embedding + Conv1d | Using k2 pruned RNN-T loss + more layers + Random combiner|
+| `pruned_transducer_stateless5`        | Conformer(modified) | Embedding + Conv1d | same as pruned_transducer_stateless4 + more layers + random combiner|
 
 
 The decoder in `transducer_stateless` is modified from the paper
diff --git a/egs/librispeech/ASR/RESULTS.md b/egs/librispeech/ASR/RESULTS.md
index df4b36f16..453751ba5 100644
--- a/egs/librispeech/ASR/RESULTS.md
+++ b/egs/librispeech/ASR/RESULTS.md
@@ -135,7 +135,7 @@ results at:
 
 #### Baseline-2
 
-It has 88.98 M parameters. Compared to the model in pruned_transducer_stateless2, its more
+It has 88.98 M parameters. Compared to the model in pruned_transducer_stateless2, its has more
 layers (24 v.s 12) but a narrower model (1536 feedforward dim and 384 encoder dim vs 2048 feed forward dim and 512 encoder dim).
 
 |                                     | test-clean | test-other | comment                                 |