Update README.md

README.md

@@ -25,6 +25,24 @@ There are our Needle-in-a-Haystack heatmap results. We are conducting further ev
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64c14f6b02e1f8f67c73bd05/Z4uUhcjgf1P7EPGQyRLkW.png)
 
+### MT-Bench Evaluation
+
+We also measured performance on MT-Bench to verify that the context extension did not significantly impact performance on instruct tasks:
+
+```
+####### 1st turn:
+Meta-Llama-3-70B-Instruct      9.21
+Llama-3-Giraffe-70B-Instruct 9.19
+
+####### 2nd turn:
+Meta-Llama-3-70B-Instruct     2   8.80
+Llama-3-Giraffe-70B-Instruct 2   8.54
+
+####### average:
+Meta-Llama-3-70B-Instruct      9.00
+Llama-3-Giraffe-70B-Instruct 8.87 
+```
+
 ## Training Methodology
 
 The methodology for training uses [PoSE](https://arxiv.org/abs/2309.10400) and dynamic-NTK interpolation.