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README.md
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@@ -23,6 +23,7 @@ We use [KoBEST benchmark](https://huggingface.co/datasets/skt/kobest_v1) dataset
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### COPA (F1)
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<img src=https://cdn-uploads.huggingface.co/production/uploads/650fecfd247f564485f8fbcf/7EKl1OAgKgPBFcSlGzBiW.png style="max-width: 800px; width: 400%"/>
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| Model | 0-shot | 1-shot | 2-shot | 5-shot | 10-shot
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| --- | --- | --- | --- | --- | --- |
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| polyglot-ko-5.8b | 0.5587 | 0.5977 | 0.6138 | 0.6431 | 0.6457
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| kullm-polyglot-5.8b | 0.5409 | 0.6072 | 0.5945 | 0.6345 | 0.6530
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| koquality-polyglot-5.8b | 0.5472 | 0.5979 | 0.6260 | 0.6486 | 0.6535
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### HellaSwag (F1)
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### BoolQ (F1)
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### COPA (F1)
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<img src=https://cdn-uploads.huggingface.co/production/uploads/650fecfd247f564485f8fbcf/7EKl1OAgKgPBFcSlGzBiW.png style="max-width: 800px; width: 400%"/>
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| Model | 0-shot | 1-shot | 2-shot | 5-shot | 10-shot
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| --- | --- | --- | --- | --- | --- |
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| polyglot-ko-5.8b | 0.5587 | 0.5977 | 0.6138 | 0.6431 | 0.6457
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| kullm-polyglot-5.8b | 0.5409 | 0.6072 | 0.5945 | 0.6345 | 0.6530
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| koquality-polyglot-5.8b | 0.5472 | 0.5979 | 0.6260 | 0.6486 | 0.6535
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### HellaSwag (F1)
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### BoolQ (F1)
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