leaderboard-pr-bot commited on
Commit
375082c
1 Parent(s): fdf9f03

Adding Evaluation Results

Browse files

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

Files changed (1) hide show
  1. README.md +14 -1
README.md CHANGED
@@ -77,4 +77,17 @@ The attention mechanism in a transformer model is designed to capture global dep
77
  The finetuning scripts will be available in our [RAIL Github Repository](https://github.com/vmware-labs/research-and-development-artificial-intelligence-lab/tree/main/instruction-tuning)
78
  ## Evaluation
79
 
80
- <B>TODO</B>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
77
  The finetuning scripts will be available in our [RAIL Github Repository](https://github.com/vmware-labs/research-and-development-artificial-intelligence-lab/tree/main/instruction-tuning)
78
  ## Evaluation
79
 
80
+ <B>TODO</B>
81
+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
82
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_VMware__open-llama-7b-open-instruct)
83
+
84
+ | Metric | Value |
85
+ |-----------------------|---------------------------|
86
+ | Avg. | 40.9 |
87
+ | ARC (25-shot) | 49.74 |
88
+ | HellaSwag (10-shot) | 73.67 |
89
+ | MMLU (5-shot) | 31.52 |
90
+ | TruthfulQA (0-shot) | 34.65 |
91
+ | Winogrande (5-shot) | 65.43 |
92
+ | GSM8K (5-shot) | 0.53 |
93
+ | DROP (3-shot) | 30.75 |