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Sentence embedding model for Korean language

Works were done while in Onboarding program of Ahancompany corporation ltd.,

You can find the fine-tuned model in Huggingface

I wrote all detail in SFT_sent_emb.ipynb. V100 Colab GPU was used for training.

Evaluation Results

Organization Backbone Model KlueSTS average KorSTS average
team-lucid DeBERTa-base 54.15(Finetuned) 29.72
monologg Electra-base 66.97(Finetuned) 40.98
LMkor Electra-base 70.98(Finetuned) 43.09
deliciouscat DeBERTa-base (Finetuned) 67.65
BM-K Roberta-base 82.93 85.77(Finetuned)
Klue* Roberta-large 86.71(Finetuned) 71.70
Klue* (Hyperparameter searched) Roberta-large 86.21(Finetuned) 75.54

Asterisks denote 'Ours'

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Works were done while in Onboarding program of Ahancompany corporation ltd.,

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