Add evaluation results

README.md

@@ -23,6 +23,25 @@ Using open source datasets with Alpaca- and OpenOrca-style and generated  synthe
 
 [1] Rafailov, R., Sharma, A., Mitchell, E., Ermon, S., Manning, C.D. and Finn, C., 2023. Direct preference optimization: Your language model is secretly a reward model. arXiv preprint arXiv:2305.18290.
 
+# **Evaluation Results**
+
+| Model                                  | H6    | Model Size |
+|----------------------------------------|-------|------------|
+| **SOLAR-10.7B-Instruct-v1.0**              | **74.20** | **~ 11B**      |
+| mistralai/Mixtral-8x7B-Instruct-v0.1   | 72.62 | ~ 46.7B    |
+| 01-ai/Yi-34B-200K                      | 70.81 | ~ 34B      |
+| 01-ai/Yi-34B                           | 69.42 | ~ 34B      |
+| mistralai/Mixtral-8x7B-v0.1            | 68.42 | ~ 46.7B    |
+| meta-llama/Llama-2-70b-hf              | 67.87 | ~ 70B      |
+| tiiuae/falcon-180B                     | 67.85 | ~ 180B     |
+| **SOLAR-10.7B-v1.0**                   | **66.04** | **~11B**   |
+| mistralai/Mistral-7B-Instruct-v0.2     | 65.71 | ~ 7B       |
+| Qwen/Qwen-14B                          | 65.86 | ~ 14B      |
+| 01-ai/Yi-34B-Chat                      | 65.32 | ~34B       |
+| meta-llama/Llama-2-70b-chat-hf         | 62.4  | ~ 70B      |
+| mistralai/Mistral-7B-v0.1              | 60.97 | ~ 7B       |
+| mistralai/Mistral-7B-Instruct-v0.1     | 54.96 | ~ 7B       |
+
 # **Usage Instructions**
 
 This model has been fine-tuned primarily for single-turn conversation, making it less suitable for multi-turn conversations such as chat.