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README.md
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@@ -86,6 +86,20 @@ KorSTS, KorNLI 학습 데이터셋으로 멀티 태스크 학습을 진행한
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- Dot Pearson: 82.93
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- Dot Spearman: 82.86
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## Training
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The model was trained with the parameters:
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- Dot Pearson: 82.93
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- Dot Spearman: 82.86
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<br>
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|model|cosine_pearson|cosine_spearman|euclidean_pearson|euclidean_spearman|manhattan_pearson|manhattan_spearman|dot_pearson|dot_spearman|
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|:-------------------------|-----------------:|------------------:|--------------------:|---------------------:|--------------------:|---------------------:|--------------:|---------------:|
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|[kf-deberta-multitask](https://huggingface.co/upskyy/kf-deberta-multitask)|**85.75**|**86.25**|**84.79**|**85.25**|**84.80**|**85.27**|**82.93**|**82.86**|
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|[ko-sroberta-multitask](https://huggingface.co/jhgan/ko-sroberta-multitask)|84.77|85.6|83.71|84.40|83.70|84.38|82.42|82.33|
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|[ko-sbert-multitask](https://huggingface.co/jhgan/ko-sbert-multitask)|84.13|84.71|82.42|82.66|82.41|82.69|80.05|79.69|
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|[ko-sroberta-base-nli](https://huggingface.co/jhgan/ko-sroberta-nli)|82.83|83.85|82.87|83.29|82.88|83.28|80.34|79.69|
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|[ko-sbert-nli](https://huggingface.co/jhgan/ko-sbert-multitask)|82.24|83.16|82.19|82.31|82.18|82.3|79.3|78.78|
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|[ko-sroberta-sts](https://huggingface.co/jhgan/ko-sroberta-sts)|81.84|81.82|81.15|81.25|81.14|81.25|79.09|78.54|
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|[ko-sbert-sts](https://huggingface.co/jhgan/ko-sbert-sts)|81.55|81.23|79.94|79.79|79.9|79.75|76.02|75.31|
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<br>
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## Training
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The model was trained with the parameters:
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