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@@ -4,7 +4,6 @@ datasets:
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  - euclaise/MiniCoT
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  - euclaise/SciCoT
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  - euclaise/symtune_mini
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- - euclaise/gsm8k_self_correct
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  - euclaise/mathoverflow-accepted
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  - euirim/goodwiki
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  ---
@@ -18,18 +17,3 @@ Current benchmarks aren't great for instruct models, so I've temporarily omitted
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  Uses ChatML prompt formatting.
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  I reserve no rights to the model. To the extent possible under law, I release it as public domain. However, the datasets used have various licenses that may impact how the model may be used in your jurisdiction.
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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_euclaise__Ferret-7B)
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-
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- | Metric | Value |
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- |-----------------------|---------------------------|
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- | Avg. | 47.81 |
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- | ARC (25-shot) | 62.2 |
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- | HellaSwag (10-shot) | 81.75 |
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- | MMLU (5-shot) | 60.82 |
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- | TruthfulQA (0-shot) | 40.94 |
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- | Winogrande (5-shot) | 77.35 |
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- | GSM8K (5-shot) | 5.76 |
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- | DROP (3-shot) | 5.87 |
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-
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- I'm not sure what's going on with GSM8K. Since GSK8K (train split) data was included in the Ferret dataset, I suspect that either it is over-correcting itself or the eval is broken.
 
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  - euclaise/MiniCoT
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  - euclaise/SciCoT
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  - euclaise/symtune_mini
 
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  - euclaise/mathoverflow-accepted
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  - euirim/goodwiki
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  ---
 
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  Uses ChatML prompt formatting.
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  I reserve no rights to the model. To the extent possible under law, I release it as public domain. However, the datasets used have various licenses that may impact how the model may be used in your jurisdiction.