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

@@ -1,15 +1,15 @@
 ---
+license: mit
 library_name: peft
 tags:
 - alignment-handbook
 - generated_from_trainer
+base_model: microsoft/phi-2
 datasets:
 - HuggingFaceH4/ultrafeedback_binarized
-base_model: microsoft/phi-2
 model-index:
 - name: output_dir
   results: []
-license: mit
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -59,4 +59,17 @@ The following hyperparameters were used during training:
 - Transformers 4.36.2
 - Pytorch 2.2.0+cu121
 - Datasets 2.14.6
-- Tokenizers 0.15.1
+- Tokenizers 0.15.1
+# [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_huseyinatahaninan__phi-2-dpo)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |62.33|
+|AI2 Reasoning Challenge (25-Shot)|63.05|
+|HellaSwag (10-Shot)              |76.36|
+|MMLU (5-Shot)                    |58.46|
+|TruthfulQA (0-shot)              |45.35|
+|Winogrande (5-shot)              |74.03|
+|GSM8k (5-shot)                   |56.71|
+