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  # carles-undergrad-thesis/indobert-mmarco-margin-mse
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  This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
 
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+ This model utilizes a newer version of Sentence Transformers. If you're having trouble using this model, please try installing the latest version of Sentence Transformers with:
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+ ```bash
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+ pip install --upgrade --force-reinstall --no-deps git+https://github.com/UKPLab/sentence-transformers.git
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+ ```
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+ | Model | Mmarco Dev | | MrTyDi Test | | Miracal Test | |
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+ |-----------------------------------------|------------|----------------|-------------|----------------|--------------|----------------------------|
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+ | | MRR@10 | R@1000 | MRR@10 | R@1000 | NCDG@10 | R@1K |
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+ | $\text{BM25 (Elastic Search)}$ | .114 | .642 | .279 | .858 | .391 | .971 |
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+ | $\text{IndoBERT}_{\text{DOTMargin}}$ | .207 | .799 | .446 | .929 | .387 | .899 |
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  # carles-undergrad-thesis/indobert-mmarco-margin-mse
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  This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.