Update README.md

README.md

@@ -18,14 +18,12 @@ pipeline_tag: text-generation
 * **Library**: [HuggingFace Transformers](https://github.com/huggingface/transformers)
 * **License**: Fine-tuned checkpoints is licensed under the Non-Commercial Creative Commons license ([CC BY-NC-4.0](https://creativecommons.org/licenses/by-nc/4.0/))
 * **Where to send comments**: Instructions on how to provide feedback or comments on a model can be found by opening an issue in the [Hugging Face community's model repository](https://huggingface.co/upstage/Llama-2-70b-instruct-1024/discussions)
-* **Contact**: For questions and comments about the model, please email `[email protected]`
+* **Contact**: For questions and comments about the model, please email [[email protected]](mailto:[email protected])
 
 ## Dataset Details
 
 ### Used Datasets
-* It is trained on our augmented Orca-style dataset
-
-> No other data was used except for the dataset mentioned above
+- Orca-style dataset
 
 ### Prompt Template
 ```
@@ -53,17 +51,18 @@ We used the [lm-evaluation-harness repository](https://github.com/EleutherAI/lm-
 
 
 ### 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-1024*** (***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                                         | H4 Average | ARC   | HellaSwag | MMLU  | TruthfulQA |       | MT_Bench |
+|-----------------------------------------------|---------|-------|-----------|-------|------------|-------|----------|
+| [Llama-2-70b-instruct-v2 (Ours, Local Reproduction)](https://huggingface.co/upstage/Llama-2-70b-instruct-v2) | 72.7 | 71.6 | 87.7 | 69.7 | 61.6 |       | 7.440625 |
+| **Llama-2-70b-instruct (Ours, Open LLM Leaderboard)** | **72.3** | **70.9** | **87.5** | **69.8** | **61.0** |       |   |
+| **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)](https://huggingface.co/upstage/llama-30b-instruct) | 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](https://huggingface.co/upstage/llama-65b-instruct) | 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: