Adding Evaluation Results

README.md

@@ -1,12 +1,12 @@
 ---
+language:
+- en
+- ml
+license: llama2
 base_model: abhinand/malayalam-llama-pt-v0
 model-index:
 - name: malayalam-llama-instruct-v0.1
   results: []
-license: llama2
-language:
-- en
-- ml
 ---
 
 # Malayalam LLaMA 7B Instruct v0.1
@@ -173,4 +173,17 @@ If you use this model or any of the the Tamil-Llama related work in your researc
 }
 ```
 
-We hope this model serves as a valuable tool in your NLP toolkit and look forward to seeing the advancements it will enable in the understanding and generation of the Tamil language.
+We hope this model serves as a valuable tool in your NLP toolkit and look forward to seeing the advancements it will enable in the understanding and generation of the Tamil language.
+# [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_abhinand__malayalam-llama-7b-instruct-v0.1)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |39.69|
+|AI2 Reasoning Challenge (25-Shot)|37.20|
+|HellaSwag (10-Shot)              |67.81|
+|MMLU (5-Shot)                    |23.12|
+|TruthfulQA (0-shot)              |47.11|
+|Winogrande (5-shot)              |62.90|
+|GSM8k (5-shot)                   | 0.00|
+