Adding Evaluation Results
#6
by
leaderboard-pr-bot
- opened
README.md
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@@ -82,4 +82,17 @@ tokenizer = AutoTokenizer.from_pretrained("jslin09/bloom-560m-finetuned-fraud")
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model = AutoModelForCausalLM.from_pretrained("jslin09/bloom-560m-finetuned-fraud")
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</code>
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</pre>
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</details>
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model = AutoModelForCausalLM.from_pretrained("jslin09/bloom-560m-finetuned-fraud")
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</code>
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</pre>
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</details>
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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_jslin09__bloom-560m-finetuned-fraud)
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| Metric | Value |
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|-----------------------|---------------------------|
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| Avg. | 18.37 |
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| ARC (25-shot) | 26.96 |
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| HellaSwag (10-shot) | 28.87 |
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| MMLU (5-shot) | 24.03 |
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| TruthfulQA (0-shot) | 0.0 |
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| Winogrande (5-shot) | 48.38 |
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| GSM8K (5-shot) | 0.0 |
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| DROP (3-shot) | 0.33 |
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