Adding Evaluation Results

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
 - mistral
@@ -10,15 +12,13 @@ tags:
 - gpt4
 - synthetic data
 - distillation
-model-index:
-- name: AlphaMonarch-dora
-  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-dora
+  results: []
 ---
 # AlphaMonarch-dora
 
@@ -93,4 +93,17 @@ The following hyperparameters were used during training:
 - Peft 0.9.1.dev0
 - Datasets 2.18.0
 - torch 2.2.0
-- accelerate 0.27.2
+- accelerate 0.27.2
+# [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-dora)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |75.86|
+|AI2 Reasoning Challenge (25-Shot)|73.21|
+|HellaSwag (10-Shot)              |89.26|
+|MMLU (5-Shot)                    |64.47|
+|TruthfulQA (0-shot)              |78.02|
+|Winogrande (5-shot)              |84.45|
+|GSM8k (5-shot)                   |65.73|
+