From 44b9730e826cb5d479672efb599c367621b3f1d6 Mon Sep 17 00:00:00 2001
From: marcoyang <marcoyang1998@gmail.com>
Date: Fri, 5 Jan 2024 17:39:16 +0800
Subject: [PATCH] update RESULTS.md

---
 egs/spgispeech/ASR/RESULTS.md | 66 +++++++++++++++++++++++++++++++++++
 1 file changed, 66 insertions(+)

diff --git a/egs/spgispeech/ASR/RESULTS.md b/egs/spgispeech/ASR/RESULTS.md
index de9e35c5a..30a354e30 100644
--- a/egs/spgispeech/ASR/RESULTS.md
+++ b/egs/spgispeech/ASR/RESULTS.md
@@ -1,5 +1,71 @@
 ## Results
 
+### SPGISpeech BPE training results (Zipformer Transducer)
+
+#### 2024-01-05
+
+#### Zipformer encoder + embedding decoder
+
+Transducer: Zipformer encoder + stateless decoder.
+
+The WERs are:
+
+|                           | dev | val | comment                                  |
+|---------------------------|------------|------------|------------------------------------------|
+| greedy search             | 2.08       | 2.14       | --epoch 30 --avg 10 |
+| modified beam search      | 2.05       | 2.09       | --epoch 30 --avg 10 --beam-size 4 |
+n| fast beam search          | 2.07       | 2.17       | --epoch 30 --avg 10 --beam 20 --max-contexts 8 --max-states 64 |
+
+**NOTE:** SPGISpeech transcripts can be prepared in `ortho` or `norm` ways, which refer to whether the
+transcripts are orthographic or normalized. These WERs correspond to the normalized transcription
+scenario.
+
+The training command for reproducing is given below:
+
+```
+export CUDA_VISIBLE_DEVICES="0,1,2,3"
+
+python zipformer/train.py \
+  --world-size 4 \
+  --num-epochs 30 \
+  --start-epoch 1 \
+  --use-fp16 1 \
+  --exp-dir zipformer/exp \
+  --num-workers 2 \
+  --max-duration 1000
+```
+
+The decoding command is:
+```
+# greedy search
+python ./zipformer/decode.py \
+            --epoch $epoch \
+            --avg $avg \
+            --exp-dir ./zipformer/exp \
+            --max-duration 1000 \
+            --decoding-method modified_beam_search
+            --decoding-method greedy_search
+
+# modified beam search
+python ./zipformer/decode.py \
+            --epoch $epoch \
+            --avg $avg \
+            --exp-dir ./zipformer/exp \
+            --max-duration 1000 \
+            --decoding-method modified_beam_search
+
+# fast beam search
+python ./zipformer/decode.py \
+            --epoch $epoch \
+            --avg $avg \
+            --exp-dir ./zipformer/exp \
+            --max-duration 1000 \
+            --decoding-method fast_beam_search
+            --beam 4 \
+            --max-contexts 4 \
+            --max-states 8
+```
+
 ### SPGISpeech BPE training results (Pruned Transducer)
 
 #### 2022-05-11