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README.md
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---
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language: []
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library_name: sentence-transformers
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tags:
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- sentence-transformers
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- sentence-similarity
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- feature-extraction
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- dataset_size:100K<n<1M
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- loss:MatryoshkaLoss
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- loss:MultipleNegativesRankingLoss
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- loss:CosineSimilarityLoss
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base_model: klue/roberta-small
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metrics:
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- pearson_cosine
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- spearman_cosine
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name: Spearman Max
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# SentenceTransformer based on klue/roberta-small
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This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [klue/roberta-small](https://huggingface.co/klue/roberta-small). It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
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## Model Details
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### Model Description
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- **Model Type:** Sentence Transformer
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- **Base model:** [klue/roberta-small](https://huggingface.co/klue/roberta-small) <!-- at revision 5fe1f0cb3946f0ea1c01e657cd1688771cf47802 -->
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- **Maximum Sequence Length:** 256 tokens
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- **Output Dimensionality:** 768 tokens
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- **Similarity Function:** Cosine Similarity
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library_name: sentence-transformers
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metrics:
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- pearson_cosine
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- spearman_cosine
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name: Spearman Max
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---
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## Model Details
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### Model Description
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- **Model Type:** Sentence Transformer
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- **Maximum Sequence Length:** 256 tokens
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- **Output Dimensionality:** 768 tokens
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- **Similarity Function:** Cosine Similarity
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