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arXiv · 2407.19527

Open Sentence Embeddings for Portuguese with the Serafim PT* encoders family

Luís Gomes·António Branco·João Silva·João Rodrigues·Rodrigo Santos
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Abstract

Sentence encoder encode the semantics of their input, enabling key downstream applications such as classification, clustering, or retrieval. In this paper, we present Serafim PT*, a family of open-source sentence encoders for Portuguese with various sizes, suited to different hardware/compute budgets. Each model exhibits state-of-the-art performance and is made openly available under a permissive license, allowing its use for both commercial and research purposes. Besides the sentence encoders, this paper contributes a systematic study and lessons learned concerning the selection criteria of learning objectives and parameters that support top-performing encoders.

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Luís Gomes, António Branco, João Silva, João Rodrigues, Rodrigo Santos. 2024-07-28. Open Sentence Embeddings for Portuguese with the Serafim PT* encoders family. https://arxiv.org/abs/2407.19527

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