SentenceTransformer This is a sentence transformers model trained on the klue/klue dataset. 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. Model Details Model Description Model Type: Sentence Transformer Maximum Sequence Length: 512 tokens Output Dimensionality: 768 tokens Similarity Function: Cosine Similarity Training Dataset: klue/klue Language: ko Model Sources Documentation: Sentence Transformers Documentation Repository: Sentence Transformers on GitHub Hugging Face: Sentence Transformers on Hugging Face Full Model Architecture Usage Direct Usage (Sentence Transformers) First install the Sentence Transformers library: Then you can load this model and run inference. Click to see the direct usage in Transformers Click to expand Evaluation Metrics Semantic Similarity Dataset: sts dev Evaluated with EmbeddingSimilarityEvaluator Metric Value : : pearson cosine 0.8476 spearman cosine 0.8546 pearson manhattan 0.7968 spearman manhattan 0.7966 pearson euclidean 0.7969 spearman euclidean 0.7972 pearson dot 0.7564 spearman dot 0.7638 pear…
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