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

@@ -1,10 +1,10 @@
 ---
-library_name: transformers
 license: llama3
-base_model: meta-llama/Meta-Llama-3-8B-Instruct
+library_name: transformers
 tags:
 - alignment-handbook
 - generated_from_trainer
+base_model: meta-llama/Meta-Llama-3-8B-Instruct
 datasets:
 - princeton-nlp/llama3-ultrafeedback-armorm
 model-index:
@@ -73,3 +73,17 @@ The following hyperparameters were used during training:
 - Pytorch 2.2.0
 - Datasets 2.21.0
 - Tokenizers 0.19.1
+
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Jimmy19991222__llama-3-8b-instruct-gapo-v2-bert-f1-beta10-gamma0.3-lr1.0e-6-1minus-rerun)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |23.74|
+|IFEval (0-Shot)    |67.17|
+|BBH (3-Shot)       |27.76|
+|MATH Lvl 5 (4-Shot)| 3.63|
+|GPQA (0-shot)      | 5.93|
+|MuSR (0-shot)      | 8.71|
+|MMLU-PRO (5-shot)  |29.26|
+