leaderboard-pr-bot
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Adding Evaluation Results
Browse filesThis 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
README.md
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@@ -16,4 +16,17 @@ model = AutoModelForCausalLM.from_pretrained(
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load_in_4bit=True)
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tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
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```
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load_in_4bit=True)
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tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
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```
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_guardrail__llama-2-7b-guanaco-instruct-sharded)
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| Metric | Value |
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|-----------------------|---------------------------|
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| Avg. | 44.87 |
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| ARC (25-shot) | 53.75 |
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| HellaSwag (10-shot) | 78.69 |
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| MMLU (5-shot) | 46.65 |
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| TruthfulQA (0-shot) | 43.93 |
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| Winogrande (5-shot) | 72.61 |
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| GSM8K (5-shot) | 7.81 |
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| DROP (3-shot) | 10.65 |
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