diff --git a/ppstructure/table/README.md b/ppstructure/table/README.md
index 3732a89c54b3686a6d8cf390d3b9043826c4f459..3bf8685617b04b0103683ddef601ed58d61b0b1c 100644
--- a/ppstructure/table/README.md
+++ b/ppstructure/table/README.md
@@ -33,7 +33,7 @@ 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%| 95.3% |1550ms|
+| TableRec-RARE(ours) | 71.73%| 93.88% |779ms|
 | SLANet(ours) | 76.2%|    95.85% |766ms|
 
 The performance indicators are explained as follows:
diff --git a/ppstructure/table/README_ch.md b/ppstructure/table/README_ch.md
index cc73f8bcec727f6eff1bf412fb877373d405e489..cdbea5810327d92b2ebb26d4f4a94529e04d91bd 100644
--- a/ppstructure/table/README_ch.md
+++ b/ppstructure/table/README_ch.md
@@ -39,7 +39,7 @@
 |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%| 95.3% |1550ms|
+| TableRec-RARE(ours) | 71.73%| 93.88% |779ms|
 | SLANet(ours) | 76.2%|	95.85% |766ms|
 
 性能指标解释如下：