Update README.md

README.md

@@ -49,17 +49,17 @@ We evaluated our model on four benchmark datasets, which include `ARC-Challenge`
 We used the [lm-evaluation-harness repository](https://github.com/EleutherAI/lm-evaluation-harness), specifically commit [b281b0921b636bc36ad05c0b0b0763bd6dd43463](https://github.com/EleutherAI/lm-evaluation-harness/tree/b281b0921b636bc36ad05c0b0b0763bd6dd43463).
 
 ### Main Results
-| Model                                         | Average | ARC   | HellaSwag | MMLU  | TruthfulQA |
-|-----------------------------------------------|---------|-------|-----------|-------|------------|
-| **Llama-2-70b-instruct-v2** (***Ours***, ***Local Reproduction***) | **72.7** | **71.6** | **87.7** | **69.7** | **61.6** |
-| Llama-2-70b-instruct (Ours, Local Reproduction) | 72.0 | 70.7 | 87.4 | 69.3 | 60.7 |
-| llama-65b-instruct (Ours, Local Reproduction) | 69.4 | 67.6 | 86.5 | 64.9 | 58.8 |
-| Llama-2-70b-hf | 67.3 | 67.3 | 87.3 | 69.8 | 44.9 |
-| llama-30b-instruct-2048 (Ours, Open LLM Leaderboard) | 67.0 | 64.9 | 84.9 | 61.9 | 56.3 |
-| llama-30b-instruct-2048 (Ours, Local Reproduction) | 67.0 | 64.9 | 85.0 | 61.9 | 56.0 |
-| llama-30b-instruct (Ours, Open LLM Leaderboard) | 65.2 | 62.5 | 86.2 | 59.4 | 52.8 |
-| llama-65b | 64.2 | 63.5 | 86.1 | 63.9 | 43.4 |
-| falcon-40b-instruct | 63.4 | 61.6 | 84.3 | 55.4 | 52.5 |
+| Model                                         | Average | ARC   | HellaSwag | MMLU  | TruthfulQA |       | MT_Bench |
+|-----------------------------------------------|---------|-------|-----------|-------|------------|-------|----------|
+| **Llama-2-70b-instruct-v2** (***Ours***, ***Local Reproduction***) | **72.7** | **71.6** | **87.7** | **69.7** | **61.6** |       | 7.440625 |
+| Llama-2-70b-instruct (Ours, Local Reproduction) | 72.0 | 70.7 | 87.4 | 69.3 | 60.7 |       | 7.24375  |
+| llama-65b-instruct (Ours, Local Reproduction) | 69.4 | 67.6 | 86.5 | 64.9 | 58.8 |       |          |
+| Llama-2-70b-hf | 67.3 | 67.3 | 87.3 | 69.8 | 44.9 |       |          |
+| llama-30b-instruct-2048 (Ours, Open LLM Leaderboard) | 67.0 | 64.9 | 84.9 | 61.9 | 56.3 |       | |
+| llama-30b-instruct-2048 (Ours, Local Reproduction) | 67.0 | 64.9 | 85.0 | 61.9 | 56.0 |       | 6.88125 |
+| llama-30b-instruct (Ours, Open LLM Leaderboard) | 65.2 | 62.5 | 86.2 | 59.4 | 52.8 |       |          |
+| llama-65b | 64.2 | 63.5 | 86.1 | 63.9 | 43.4 |       |          |
+| falcon-40b-instruct | 63.4 | 61.6 | 84.3 | 55.4 | 52.5 |       |          |
 
 ### Scripts
 - Prepare evaluation environments: