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bongsoo
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kpf-sbert-v1

Sentence Similarity
sentence-transformers
PyTorch
Transformers
bert
feature-extraction
text-embeddings-inference
Inference Endpoints
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@@ -26,7 +26,8 @@ jinmang2/kpfbert 모델을 sentencebert로 파인듀닝한 모델
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  |distiluse-base-multilingual-cased-v2 |0.7475 |0.7855 |0.8193 |0.8075|
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  |paraphrase-multilingual-mpnet-base-v2 |0.8201 |0.7993 |0.8907 |0.8682|
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  |bongsoo/albert-small-kor-sbert-v1 |0.8305 |0.8588 |0.8419 |0.7965|
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- |bongsoo/kpf-sbert-v1.0 |0.8590 |0.8924 |0.8840 |0.8531|
 
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  For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name={MODEL_NAME})
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  |distiluse-base-multilingual-cased-v2 |0.7475 |0.7855 |0.8193 |0.8075|
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  |paraphrase-multilingual-mpnet-base-v2 |0.8201 |0.7993 |0.8907 |0.8682|
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  |bongsoo/albert-small-kor-sbert-v1 |0.8305 |0.8588 |0.8419 |0.7965|
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+ |bongsoo/klue-sbert-v1.0 |0.8529 |0.8952 |0.8813 |0.8469|
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+ |**bongsoo/kpf-sbert-v1.0** |0.8590 |0.8924 |0.8840 |0.8531|
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  For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name={MODEL_NAME})
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