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

@@ -1,9 +1,9 @@
 ---
-base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
-library_name: peft
 license: llama3.1
+library_name: peft
 tags:
 - generated_from_trainer
+base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
 model-index:
 - name: flippa-v6
   results: []
@@ -70,4 +70,17 @@ The following hyperparameters were used during training:
 - Transformers 4.44.2
 - Pytorch 2.3.1+cu121
 - Datasets 2.21.0
-- Tokenizers 0.19.1
+- 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_carsenk__flippa-v6)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |20.55|
+|IFEval (0-Shot)    |34.39|
+|BBH (3-Shot)       |29.99|
+|MATH Lvl 5 (4-Shot)|12.69|
+|GPQA (0-shot)      | 5.70|
+|MuSR (0-shot)      |10.88|
+|MMLU-PRO (5-shot)  |29.64|
+