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

@@ -1,6 +1,8 @@
 ---
+language:
+- en
 license: cc-by-nc-4.0
-base_model: mlabonne/NeuralMonarch-7B
+library_name: transformers
 tags:
 - generated_from_trainer
 - axolotl
@@ -11,15 +13,13 @@ tags:
 - gpt4
 - synthetic data
 - distillation
-model-index:
-- name: AlphaMonarch-laser
-  results: []
 datasets:
 - argilla/OpenHermes2.5-dpo-binarized-alpha
-language:
-- en
-library_name: transformers
+base_model: mlabonne/NeuralMonarch-7B
 pipeline_tag: text-generation
+model-index:
+- name: AlphaMonarch-laser
+  results: []
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
@@ -332,4 +332,17 @@ special_tokens:
 - Tokenizers 0.15.0
 - axolotl: 0.4.0
 
-[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+# [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_abideen__AlphaMonarch-laser)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |76.00|
+|AI2 Reasoning Challenge (25-Shot)|73.12|
+|HellaSwag (10-Shot)              |89.21|
+|MMLU (5-Shot)                    |64.43|
+|TruthfulQA (0-shot)              |77.90|
+|Winogrande (5-shot)              |84.61|
+|GSM8k (5-shot)                   |66.72|
+