diff --git a/ppstructure/table/README.md b/ppstructure/table/README.md
index f4eff868d292cf63af119827c445a5b85aa4bebb..3732a89c54b3686a6d8cf390d3b9043826c4f459 100644
--- a/ppstructure/table/README.md
+++ b/ppstructure/table/README.md
@@ -33,8 +33,8 @@ We evaluated the algorithm on the PubTabNet<sup>[1]</sup> eval dataset, and the
 |Method|Acc|[TEDS(Tree-Edit-Distance-based Similarity)](https://github.com/ibm-aur-nlp/PubTabNet/tree/master/src)|Speed|
 | --- | --- | --- | ---|
 | EDD<sup>[2]</sup> |x| 88.3 |x|
-| TableRec-RARE(ours) |73.8%| 93.32 |1550ms|
-| SLANet(ours) | 76.2%| 94.98 |766ms|
+| TableRec-RARE(ours) |73.8%| 95.3% |1550ms|
+| SLANet(ours) | 76.2%|    95.85% |766ms|
 
 The performance indicators are explained as follows:
 - Acc: The accuracy of the table structure in each image, a wrong token is considered an error.
diff --git a/ppstructure/table/README_ch.md b/ppstructure/table/README_ch.md
index badabc7992cc5fc4b474fa59837f6fab5f659415..cc73f8bcec727f6eff1bf412fb877373d405e489 100644
--- a/ppstructure/table/README_ch.md
+++ b/ppstructure/table/README_ch.md
@@ -38,9 +38,9 @@
 
 |算法|Acc|[TEDS(Tree-Edit-Distance-based Similarity)](https://github.com/ibm-aur-nlp/PubTabNet/tree/master/src)|Speed|
 | --- | --- | --- | ---|
-| EDD<sup>[2]</sup> |x| 88.3 |x|
-| TableRec-RARE(ours) |73.8%| 93.32 |1550ms|
-| SLANet(ours) | 76.2%| 94.98 |766ms|
+| EDD<sup>[2]</sup> |x| 88.3% |x|
+| TableRec-RARE(ours) |73.8%| 95.3% |1550ms|
+| SLANet(ours) | 76.2%|	95.85% |766ms|
 
 性能指标解释如下：
 - Acc: 模型对每张图像里表格结构的识别准确率，错一个token就算错误。