From be47220dcb5e2b262804d6365fb5c95e0acf6e08 Mon Sep 17 00:00:00 2001
From: uni-manjunath-ke <123362348+uni-manjunath-ke@users.noreply.github.com>
Date: Wed, 31 May 2023 15:18:54 +0530
Subject: [PATCH] Update RESULTS.md

---
 egs/librispeech/ASR/RESULTS.md | 65 +++++++++++++++++-----------------
 1 file changed, 33 insertions(+), 32 deletions(-)

diff --git a/egs/librispeech/ASR/RESULTS.md b/egs/librispeech/ASR/RESULTS.md
index c1740288b..cdaa9211b 100644
--- a/egs/librispeech/ASR/RESULTS.md
+++ b/egs/librispeech/ASR/RESULTS.md
@@ -6,38 +6,6 @@ See <https://github.com/k2-fsa/icefall/pull/1058> for more details.
 
 [zipformer](./zipformer)
 
-##### zipformer ctc streaming
-
-| decoding method      | test-clean | test-other | comment            |
-|----------------------|------------|------------|--------------------|
-| greedy_search        | 4.07       | 10.51      | --epoch 30 --avg 15|
-| greedy_search        | 4.0        | 10.3       | --epoch 30 --avg 9 |
-
-The training command is:
-```bash
-export CUDA_VISIBLE_DEVICES="0,1"
-python ./zipformer_ctc_streaming/train.py \
-  --world-size 2   \
-  --num-epochs 30  \
-  --start-epoch 1  \
-  --exp-dir ./zipformer_ctc_streaming/exp \
-  --max-duration 100 
-```
-
-The decoding command is:
-```bash
-export CUDA_VISIBLE_DEVICES="0"
-./zipformer_ctc_streaming/decode.py \
---epoch 30  \
---avg 15 \
---exp-dir ./zipformer_ctc_streaming/exp \
---max-duration 300 \ 
---decode-chunk-len 32  \
---method ctc-decoding \
---lm-dir data/lm \
---lang-dir  data/lang_bpe_500
-```
-
 #### Non-streaming
 
 ##### normal-scaled model, number of model parameters: 65549011, i.e., 65.55 M
@@ -357,6 +325,39 @@ The decoding commands are:
     --max-states 64
 ```
 
+##### zipformer ctc streaming
+
+| decoding method      | test-clean | test-other | comment            |
+|----------------------|------------|------------|--------------------|
+| greedy_search        | 4.07       | 10.51      | --epoch 30 --avg 15|
+| greedy_search        | 4.0        | 10.3       | --epoch 30 --avg 9 |
+
+The training command is:
+```bash
+export CUDA_VISIBLE_DEVICES="0,1"
+python ./zipformer_ctc_streaming/train.py \
+  --world-size 2   \
+  --num-epochs 30  \
+  --start-epoch 1  \
+  --exp-dir ./zipformer_ctc_streaming/exp \
+  --max-duration 100 
+```
+
+The decoding command is:
+```bash
+export CUDA_VISIBLE_DEVICES="0"
+./zipformer_ctc_streaming/decode.py \
+--epoch 30  \
+--avg 15 \
+--exp-dir ./zipformer_ctc_streaming/exp \
+--max-duration 300 \ 
+--decode-chunk-len 32  \
+--method ctc-decoding \
+--lm-dir data/lm \
+--lang-dir  data/lang_bpe_500
+```
+
+
 ### pruned_transducer_stateless7 (zipformer + multidataset(LibriSpeech + GigaSpeech + CommonVoice 13.0))
 
 See <https://github.com/k2-fsa/icefall/pull/1010> for more details.