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This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [rasyosef/roberta-medium-amharic](https://huggingface.co/rasyosef/roberta-medium-amharic) on the [amharic-passage-retrieval-dataset](https://huggingface.co/datasets/rasyosef/amharic-passage-retrieval-dataset) dataset. It maps sentences & paragraphs to a 512-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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This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [rasyosef/roberta-medium-amharic](https://huggingface.co/rasyosef/roberta-medium-amharic) on the [amharic-passage-retrieval-dataset](https://huggingface.co/datasets/rasyosef/amharic-passage-retrieval-dataset) dataset. It maps sentences & paragraphs to a 512-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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## Training Code
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This model was trained as part of our **ACL 2025 Findings** paper: ***Optimized Text Embedding Models and Benchmarks for Amharic Passage Retrieval***.
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- **Models Collection:** https://huggingface.co/collections/rasyosef/amharic-text-embedding-models-679cb55eae1d498e3ac5bdc5
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- **Code:** https://github.com/kidist-amde/amharic-ir-benchmarks
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## Model Details
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### Model Description
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