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This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [indobenchmark/indobert-base-p2](https://huggingface.co/indobenchmark/indobert-base-p2). 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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## STSB Test
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| models/indobert-large-stsb | 0.8366 |
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| models/indobert-base-stsb | 0.8123 |
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This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [indobenchmark/indobert-base-p2](https://huggingface.co/indobenchmark/indobert-base-p2). 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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## STSB Test
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| Model | Spearman Correlation |
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| models/indobert-large-stsb | 0.8366 |
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| models/indobert-base-stsb | 0.8123 |
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