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

@@ -117,4 +117,17 @@ pythia-12b-pretrain:
 ```
 
 
-Command used: `deepspeed trainer_sft.py --show_dataset_stats --configs defaults pythia-12b-pretrain pretrain --cache_dir .cache/ --output_dir .saved/pythia-12b-super-pretrain2 --deepspeed`
+Command used: `deepspeed trainer_sft.py --show_dataset_stats --configs defaults pythia-12b-pretrain pretrain --cache_dir .cache/ --output_dir .saved/pythia-12b-super-pretrain2 --deepspeed`
+# [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_OpenAssistant__pythia-12b-pre-v8-12.5k-steps)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 35.93   |
+| ARC (25-shot)         | 41.47          |
+| HellaSwag (10-shot)   | 68.8    |
+| MMLU (5-shot)         | 26.58         |
+| TruthfulQA (0-shot)   | 36.82   |
+| Winogrande (5-shot)   | 65.27   |
+| GSM8K (5-shot)        | 7.66        |
+| DROP (3-shot)         | 4.89         |