Update README.md

README.md

@@ -63,18 +63,18 @@ Breeze-7B-32k-Base clears the tasks with 90+% accuracy, shown in the figure belo
 
 #### Long-DRCD Performance
 
-| **Model/Performance(EM)** | **DRCD** | **DRCD-16k** | **DRCD-32k** | **DRCD-64k** |
-|---------------------------|----------|--------------|--------------|--------------|
-| **Breeze-7B-32k-Instruct-v1\_0** |     |      |       |        |
-| **Breeze-7B-32k-Base-v1\_0** | 79.73    | 69.68        | 61.55        | 25.82        |
-| **Breeze-7B-Base-v1\_0**      | 80.61    | 21.79        | 15.29        | 12.63        |
+| **Model/Performance(EM)** | **DRCD** | **DRCD-16k** | **DRCD-32k** |
+|---------------------------|----------|--------------|--------------|
+| **Breeze-7B-32k-Instruct-v1\_0** |  76.9   |   54.82   |  44.26     |       
+| **Breeze-7B-32k-Base-v1\_0** | 79.73    | 69.68        | 61.55        |
+| **Breeze-7B-Base-v1\_0**      | 80.61    | 21.79        | 15.29        | 
 
 #### Short-Benchmark Performance
 
-| **Model/Performance(EM)** | **TMMLU+** | **MMLU** | **TABLE** | 
-|---------------------------|----------|--------------|--------------|
-| **Breeze-7B-32k-Instruct-v1\_0** |     |      |       |        |
-| **Breeze-7B-Instruct-v1\_0**      |    |       |        |    |
+| **Model/Performance(EM)** | **TMMLU+** | **MMLU** | **TABLE** | **MT-Bench-tw** | **MT-Bench** |
+|---------------------------|----------|--------------|--------------|-----|-----|
+| **Breeze-7B-32k-Instruct-v1\_0** | 41.37    |   61.34   |   34    | 5.8 | 7.4 |
+| **Breeze-7B-Instruct-v1\_0**      |  42.67  |   62.73    |   39.58 | 6.0 | 7.4 |
 
 ## Use in Transformers
 
@@ -117,4 +117,4 @@ tokenizer.tokenize("你好，我可以幫助您解決各種問題、提供資訊
       archivePrefix={arXiv},
       primaryClass={cs.CL}
 }
-```
+```