diff --git a/doc/doc_ch/PP-OCRv3_introduction.md b/doc/doc_ch/PP-OCRv3_introduction.md
index b8a6ad1245bdd6f5e7d3a4e5a674ef46a13fe414..3c17921a24d2da9603fb41e82633e30e01dfd437 100644
--- a/doc/doc_ch/PP-OCRv3_introduction.md
+++ b/doc/doc_ch/PP-OCRv3_introduction.md
@@ -53,11 +53,10 @@ PP-OCRv3检测模型是对PP-OCRv2中的[CML](https://arxiv.org/pdf/2109.03144.p
 
 |序号|策略|模型大小|hmean|速度（cpu + mkldnn)|
 |-|-|-|-|-|
-|baseline teacher|PP-OCR server|49M|83.2%|171ms|
+|baseline teacher|DB-R50|99M|83.5%|260ms|
 |teacher1|DB-R50-LK-PAN|124M|85.0%|396ms|
 |teacher2|DB-R50-LK-PAN-DML|124M|86.0%|396ms|
 |baseline student|PP-OCRv2|3M|83.2%|117ms|
-|student0|DB-MV3-RSE-FPN|3.6M|84.5%|124ms|
 |student1|DB-MV3-CML（teacher2）|3M|84.3%|117ms|
 |student2|DB-MV3-RSE-FPN-CML（teacher2）|3.6M|85.4%|124ms|
 
diff --git a/doc/doc_en/PP-OCRv3_introduction_en.md b/doc/doc_en/PP-OCRv3_introduction_en.md
index 9ab25653e219c18e1acaaf7c99b050f790bcb1b9..07894340c2de9fe2fe2d677167439ec581aa43e8 100644
--- a/doc/doc_en/PP-OCRv3_introduction_en.md
+++ b/doc/doc_en/PP-OCRv3_introduction_en.md
@@ -55,11 +55,10 @@ The ablation experiments are as follows:
 
 |ID|Strategy|Model Size|Hmean|The Inference Time（cpu + mkldnn)|
 |-|-|-|-|-|
-|baseline teacher|PP-OCR server|49M|83.2%|171ms|
+|baseline teacher|DB-R50|99M|83.5%|260ms|
 |teacher1|DB-R50-LK-PAN|124M|85.0%|396ms|
 |teacher2|DB-R50-LK-PAN-DML|124M|86.0%|396ms|
 |baseline student|PP-OCRv2|3M|83.2%|117ms|
-|student0|DB-MV3-RSE-FPN|3.6M|84.5%|124ms|
 |student1|DB-MV3-CML（teacher2）|3M|84.3%|117ms|
 |student2|DB-MV3-RSE-FPN-CML（teacher2）|3.6M|85.4%|124ms|
 
diff --git a/ppocr/data/imaug/label_ops.py b/ppocr/data/imaug/label_ops.py
index c9bc2e7722e8027ce870e4969bfcdab720495c28..02a5187dad27b76d04e866de45333d79383c1347 100644
--- a/ppocr/data/imaug/label_ops.py
+++ b/ppocr/data/imaug/label_ops.py
@@ -438,7 +438,12 @@ class KieLabelEncode(object):
             texts.append(ann['transcription'])
             text_ind = [self.dict[c] for c in text if c in self.dict]
             text_inds.append(text_ind)
-            labels.append(ann['label'])
+            if 'label' in anno.keys():
+                labels.append(ann['label'])
+            elif 'key_cls' in anno.keys():
+                labels.append(anno['key_cls'])
+            else:
+                raise ValueError("Cannot found 'key_cls' in ann.keys(), please check your training annotation.")
             edges.append(ann.get('edge', 0))
         ann_infos = dict(
             image=data['image'],