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Adding Evaluation Results (#1)
Browse files- Adding Evaluation Results (8f64836dff42f8ec12ec82c36eef4fed8b6345b0)
Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>
README.md
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@@ -30,3 +30,17 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
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tokenizer = AutoTokenizer.from_pretrained("hiyouga/Baichuan2-7B-Base-LLaMAfied", use_fast=False)
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model = AutoModelForCausalLM.from_pretrained("hiyouga/Baichuan2-7B-Base-LLaMAfied").cuda()
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```
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tokenizer = AutoTokenizer.from_pretrained("hiyouga/Baichuan2-7B-Base-LLaMAfied", use_fast=False)
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model = AutoModelForCausalLM.from_pretrained("hiyouga/Baichuan2-7B-Base-LLaMAfied").cuda()
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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_hiyouga__Baichuan2-7B-Base-LLaMAfied)
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| Metric | Value |
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|-----------------------|---------------------------|
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| Avg. | 42.83 |
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| ARC (25-shot) | 49.57 |
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| HellaSwag (10-shot) | 73.45 |
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| MMLU (5-shot) | 54.86 |
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| TruthfulQA (0-shot) | 37.54 |
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| Winogrande (5-shot) | 70.72 |
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| GSM8K (5-shot) | 7.81 |
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| DROP (3-shot) | 5.85 |
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