Adding Evaluation Results
#2
by
leaderboard-pr-bot
- opened
README.md
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@@ -36,4 +36,17 @@ This model took `2:31:23` to train in QLoRA on a single `T4` GPU.<br>
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- *weight decay*: `0.001`
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- *optimizer*: `paged_adamw_32bit`
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- *learning rate schedule*: `cosine`
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- *warmup ratio (linear)*: `0.03`
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- *weight decay*: `0.001`
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- *optimizer*: `paged_adamw_32bit`
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- *learning rate schedule*: `cosine`
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- *warmup ratio (linear)*: `0.03`
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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_AtAndDev__ShortKingv0.1)
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| Metric | Value |
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|-----------------------|---------------------------|
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| Avg. | 31.17 |
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| ARC (25-shot) | 34.22 |
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| HellaSwag (10-shot) | 54.59 |
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| MMLU (5-shot) | 25.78 |
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| TruthfulQA (0-shot) | 41.64 |
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| Winogrande (5-shot) | 56.04 |
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| GSM8K (5-shot) | 0.45 |
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| DROP (3-shot) | 5.47 |
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