Adding Evaluation Results

This is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr

The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.

If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions

README.md

@@ -1,8 +1,8 @@
 ---
 license: apache-2.0
-base_model: upstage/SOLAR-10.7B-v1.0
 tags:
 - generated_from_trainer
+base_model: upstage/SOLAR-10.7B-v1.0
 model-index:
 - name: yanolja/KoSOLAR-10.7B-v0.2
   results: []
@@ -83,4 +83,17 @@ Our model’s training was comprehensive and diverse:
 
     8. **Training Bias Towards New Tokens:** Our training data was biased to include more texts with new tokens, for effective learning.
 
-This rigorous approach ensured a comprehensive and contextually rich Korean vocabulary for the model.
+This rigorous approach ensured a comprehensive and contextually rich Korean vocabulary for the model.
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_yanolja__KoSOLAR-10.7B-v0.2)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |64.20|
+|AI2 Reasoning Challenge (25-Shot)|61.35|
+|HellaSwag (10-Shot)              |82.63|
+|MMLU (5-Shot)                    |64.85|
+|TruthfulQA (0-shot)              |47.94|
+|Winogrande (5-shot)              |80.74|
+|GSM8k (5-shot)                   |47.69|
+