Update README.md

README.md

@@ -36,11 +36,11 @@ To demonstrate their model quality, we follow [`llama.cpp`](https://github.com/g
 |72B     | 7.97    | 7.99    | 7.99    | 7.99    | 8.01    | 8.00    | 8.01    | 8.06    | 8.63    |
 
 ## Model Details
-Qwen1.5 is a language model series including decoder language models of different model sizes. For each size, we release the base language model and the aligned chat model. It is based on the Transformer architecture with SwiGLU activation, attention QKV bias, group query attention, mixture of sliding window attention and full attention, etc. Additionally, we have an improved tokenizer adaptive to multiple natural languages and codes. For the beta version, temporarily we did not include GQA and the mixture of SWA and full attention.
+Qwen1.5 is a language model series including decoder language models of different model sizes. For each size, we release the base language model and the aligned chat model. It is based on the Transformer architecture with SwiGLU activation, attention QKV bias, group query attention, mixture of sliding window attention and full attention, etc. Additionally, we have an improved tokenizer adaptive to multiple natural languages and codes. For the beta version, temporarily we did not include GQA (except for 32B) and the mixture of SWA and full attention.
 
 
 ## Training details
-We pretrained the models with a large amount of data, and we post-trained the models with both supervised finetuning and direct preference optimization. However, DPO leads to improvements in human preference evaluation but degradation in benchmark evaluation. In the very near future, we will fix both problems.
+We pretrained the models with a large amount of data, and we post-trained the models with both supervised finetuning and direct preference optimization.
 
 
 ## Requirements