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

@@ -1,12 +1,12 @@
 ---
 license: apache-2.0
-base_model: mistralai/Mistral-7B-v0.1
+tags:
+- generated_from_trainer
 datasets:
 - practical-dreamer/RPGPT_PublicDomain-alpaca
 - shuyuej/metamath_gsm8k
 - NeuralNovel/Neural-DPO
-tags:
-- generated_from_trainer
+base_model: mistralai/Mistral-7B-v0.1
 model-index:
 - name: out
   results: []
@@ -145,3 +145,17 @@ The following hyperparameters were used during training:
 - Pytorch 2.2.0+cu121
 - Datasets 2.17.1
 - Tokenizers 0.15.0
+
+# [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_NeuralNovel__Senzu-7B-v0.1)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |56.40|
+|AI2 Reasoning Challenge (25-Shot)|58.19|
+|HellaSwag (10-Shot)              |81.98|
+|MMLU (5-Shot)                    |63.20|
+|TruthfulQA (0-shot)              |40.20|
+|Winogrande (5-shot)              |76.64|
+|GSM8k (5-shot)                   |18.20|
+