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README.md
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@@ -11,7 +11,8 @@ KoQuality-Polyglot-5.8b is an auto-regressive language model that conducts instr
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Our best model is trained on [KoQuality dataset](https://huggingface.co/datasets/DILAB-HYU/KoQuality), which is curated by proposed method (len_group=5, k=100, method=ppl_sampling).
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We use KoBEST benchmark datasets(KoBEST_boolq, KoBEST_copa, KoBEST_hellaswag, KoBEST_sentineg, KoBEST_wic) to compare the performance of our best model and other models accuracy.
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Our model outperforms other models in the average accuracy score of the KoBEST datasets.
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<img src=https://cdn-uploads.huggingface.co/production/uploads/650fecfd247f564485f8fbcf/
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| Model | 0-shot | 1-shot | 2-shot | 5-shot | 10-shot
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Our best model is trained on [KoQuality dataset](https://huggingface.co/datasets/DILAB-HYU/KoQuality), which is curated by proposed method (len_group=5, k=100, method=ppl_sampling).
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We use KoBEST benchmark datasets(KoBEST_boolq, KoBEST_copa, KoBEST_hellaswag, KoBEST_sentineg, KoBEST_wic) to compare the performance of our best model and other models accuracy.
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Our model outperforms other models in the average accuracy score of the KoBEST datasets.
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<img src=https://cdn-uploads.huggingface.co/production/uploads/650fecfd247f564485f8fbcf/q4cCUCzRJa3m2f7oxI_FY.png style="max-width: 500px; width: 300%"/>
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| Model | 0-shot | 1-shot | 2-shot | 5-shot | 10-shot
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