Adding Evaluation Results

README.md

@@ -1,15 +1,15 @@
 ---
+language:
+- en
 license: mit
-base_model: mistralai/Mistral-7B-v0.1
 tags:
 - generated_from_trainer
+base_model: mistralai/Mistral-7B-v0.1
+datasets:
+- HuggingFaceH4/ultrachat_200k
 model-index:
 - name: mistral-7b-sft-beta
   results: []
-datasets:
-- HuggingFaceH4/ultrachat_200k
-language:
-- en
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -101,4 +101,17 @@ The following hyperparameters were used during training:
 - Transformers 4.35.0.dev0
 - Pytorch 2.0.1+cu118
 - Datasets 2.12.0
-- Tokenizers 0.14.0
+- Tokenizers 0.14.0
+# [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_HuggingFaceH4__mistral-7b-sft-beta)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |59.78|
+|AI2 Reasoning Challenge (25-Shot)|57.42|
+|HellaSwag (10-Shot)              |82.23|
+|MMLU (5-Shot)                    |61.42|
+|TruthfulQA (0-shot)              |43.58|
+|Winogrande (5-shot)              |77.58|
+|GSM8k (5-shot)                   |36.47|
+