Update README.md

README.md

@@ -31,6 +31,11 @@ Good at solving text summarization tasks, after fine-tuning on multiple Chinese
 
 Based on [Randeng-Pegasus-523M-Chinese](https://huggingface.co/IDEA-CCNL/Randeng-Pegasus-523M-Chinese), we fine-tuned a text summarization version (summary-v1) on a filted dataset(1.8M), which we use entitys to filter these 7 Chinese text summarization datasets, with totaling around 4M samples. We can improve the faithfulness of summaries without damage to the downstream task, eg Rouge-L on lcsts. The datasets include: education, new2016zh, nlpcc, shence, sohu, thucnews and weibo.
 
+### 下游效果 Performance
+
+| datasets | rouge-1 | rouge-2 | rouge-L |
+| ---- | ---- | ---- | ---- |
+| LCSTS | 46.94 | 33.92 | 43.51 |
 
 ## 使用 Usage