Update README.md

README.md

@@ -10,7 +10,7 @@ datasets:
 train data is similarity sentence data from E-commerce dialogue, about 50w sentence pairs.
 
 ## Model
-model created by [sentence-tansformers](https://www.sbert.net/index.html)，model struct is bi-encoder.
+model created by [sentence-tansformers](https://www.sbert.net/index.html)，model struct is cross-encoder, pretrained model is hfl/chinese-roberta-wwm-ext.
 This model structure is as same as [tuhailong/cross_encoder_roberta-wwm-ext_v1](https://huggingface.co/tuhailong/cross_encoder_roberta-wwm-ext_v1)，the difference is changing the epoch from 5 to 1, the performance is better in my dataset.
 
 ### Usage