polish-reranker-roberta-v3

モデル紹介

This model is designed to serve as a Polish reranker in retrieval-augmented generation (RAG) pipelines. It is a general-purpose reranker that delivers strong performance across various document types and domains. It is the successor to **sdadas/polish-reranker-roberta-v2** and has the following key features: The main difference between **polish-reranker-roberta-v2** and **polish-reranker-roberta-v3** is the support for longer contexts - 16x increase from 512 to 8192 tokens. This has a significant impact on reranking quality for datasets with longer documents. Table 1 presents examples of tasks from the PIRB benchmark where substantial improvements were observed as a result of the extended context. For short and medium-length texts, the model achieves comparable or slightly better results than the previous version. For tasks involving very short texts (e.g., *onet*, *czy-wiesz-v2*), we observed a slight decrease in quality. The average score on the PIRB benchmark increased from **64.49** to **65.17** when using the sdadas/mmlw-retrieval-roberta-large retriever, or from **65.30** to **66.21** when using BAAI/bge-multilingual-gemma2. Task Improvement using sdadas/mmlw-retrieval-roberta-large retriever Improvement using BAAI/bge-multilingual-gemma2 retriever

主な特徴

特点摘要待依据来源补齐，不凭模型名称推断能力。

制約と注意点

具体的な制約を判断する出典が不足しています。実際の性能、遅延、データ方針、ライセンス、提供期間を確認してください。

出典別料金と費用分析

料金はチャネル・地域・設定によって異なります。各チャネルの料金は個別に表示し、提供元の統一公式料金とは見なしません。

公開評価と実行設定

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

よくある質問

出典と追跡記録

许可证：gemma。模型介绍与第三方评测均以原来源的具体版本和方法为准。