diff --git a/egs/librispeech/ASR/RESULTS.md b/egs/librispeech/ASR/RESULTS.md
index 2e6fb7c8e..355b69a99 100644
--- a/egs/librispeech/ASR/RESULTS.md
+++ b/egs/librispeech/ASR/RESULTS.md
@@ -214,7 +214,7 @@ done
--exp-dir ./transducer_stateless/exp-2 \
--max-duration 1000 \
--decoding-method modified_beam_search \
- --max-sym-per-frame $sym
+ --beam-size 4
```
You can find a pretrained model by visiting
@@ -225,7 +225,62 @@ You can find a pretrained model by visiting
Using commit `395a3f952be1449cd7c92b896f4eb9a1c899e2c7`.
(--modified-transducer-prob 0.0)
-**TODO**: Add results.
+
+| | test-clean | test-other | comment |
+|-------------------------------------|------------|------------|------------------------------------------|
+| greedy search (max sym per frame 1) | 2.67 | 6.44 | --epoch 49, --avg 11, --max-duration 1000|
+| greedy search (max sym per frame 2) | 2.63 | 6.37 | --epoch 49, --avg 11, --max-duration 1000|
+| greedy search (max sym per frame 3) | 2.63 | 6.37 | --epoch 49, --avg 11, --max-duration 1000|
+| modified beam search (beam size 4) | 2.62 | 6.32 | --epoch 49, --avg 11, --max-duration 1000|
+
+The training command for reproducing is given below:
+```bash
+export CUDA_VISIBLE_DEVICES="1,2,3,4,5,6,7"
+
+. path.sh
+
+./transducer_stateless/train.py \
+ --world-size 7 \
+ --num-epochs 60 \
+ --start-epoch 0 \
+ --exp-dir transducer_stateless/exp \
+ --full-libri 1 \
+ --max-duration 300 \
+ --lr-factor 5 \
+ --modified-transducer-prob 0.0
+```
+
+The tensorboard training log can be found at
+
+
+The decoding command is:
+```bash
+epoch=49
+avg=11
+
+## greedy search
+for sym in 1 2 3; do
+ ./transducer_stateless/decode.py \
+ --epoch $epoch \
+ --avg $avg \
+ --exp-dir ./transducer_stateless/exp \
+ --max-duration 1000 \
+ --decoding-method greedy_search \
+ --max-sym-per-frame $sym
+done
+
+## modified_beam_search
+./transducer_stateless/decode.py \
+ --epoch $epoch \
+ --avg $avg \
+ --exp-dir ./transducer_stateless/exp \
+ --max-duration 1000 \
+ --decoding-method modified_beam_search \
+ --beam-size 4
+```
+
+You can find a pretrained model by visiting
+
##### 2022-03-01