Adding Evaluation Results

README.md

@@ -1,16 +1,16 @@
 ---
+language:
+- en
 license: llama3
 library_name: peft
 tags:
 - generated_from_trainer
 base_model: meta-llama/Meta-Llama-3-8B-Instruct
+datasets:
+- Norquinal/claude_multi_instruct_30k
 model-index:
 - name: llama-3-8b-claudstruct-v3
   results: []
-datasets:
-- Norquinal/claude_multi_instruct_30k
-language:
-- en
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -163,4 +163,17 @@ The following hyperparameters were used during training:
 - Transformers 4.41.1
 - Pytorch 2.3.0
 - Datasets 2.19.1
-- Tokenizers 0.19.1
+- Tokenizers 0.19.1
+# [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_jrahn__llama-3-8b-claudstruct-v3)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |65.62|
+|AI2 Reasoning Challenge (25-Shot)|58.96|
+|HellaSwag (10-Shot)              |80.05|
+|MMLU (5-Shot)                    |64.55|
+|TruthfulQA (0-shot)              |51.76|
+|Winogrande (5-shot)              |74.19|
+|GSM8k (5-shot)                   |64.22|
+