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<!-- Provide a quick summary of what the model is/does. -->
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Chuxin-Embedding 是专为增强中文文本检索能力而设计的嵌入模型。它基于bge-m3-retromae[1],实现了预训练、微调、精调全流程。该模型在来自各个领域的大量语料库上进行训练,语料库的批量非常大。截至 2024 年 9 月 14 日, Chuxin-Embedding 在检索任务中表现出色,在 C-MTEB 中文检索排行榜上排名第一,领先的性能得分为 77.88,在AIR-Bench中文检索+重排序公开排行榜上排名第一,领先的性能得分为 64.78。
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Chuxin-Embedding is a specially designed embedding model aimed at enhancing the capability of Chinese text retrieval. It is based on bge-m3-retromae[1] and implements the entire process of pre-training, fine-tuning, and refining. This model has been trained on a vast amount of corpora from various fields. As of September 14, 2024, Chuxin-Embedding has shown outstanding performance in retrieval tasks. It ranks first on the C-MTEB Chinese Retrieval Leaderboard with a leading performance score of 77.88 and also ranks first on the AIR-Bench Chinese Retrieval + Re-ranking Public Leaderboard with a leading performance score of 64.78.
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## News
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<!-- Provide a quick summary of what the model is/does. -->
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Chuxin-Embedding 是专为增强中文文本检索能力而设计的嵌入模型。它基于bge-m3-retromae[1],实现了预训练、微调、精调全流程。该模型在来自各个领域的大量语料库上进行训练,语料库的批量非常大。截至 2024 年 9 月 14 日, Chuxin-Embedding 在检索任务中表现出色,在 C-MTEB 中文检索排行榜上排名第一,领先的性能得分为 77.88,在AIR-Bench中文检索+重排序公开排行榜上排名第一,领先的性能得分为 64.78。
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Chuxin-Embedding is a specially designed embedding model aimed at enhancing the capability of Chinese text retrieval. It is based on bge-m3-retromae[1] and implements the entire process of pre-training, fine-tuning, and refining. This model has been trained on a vast amount of corpora from various fields. As of September 14, 2024, Chuxin-Embedding has shown outstanding performance in retrieval tasks. It ranks first on the C-MTEB Chinese Retrieval Leaderboard with a leading performance score of 77.88 and also ranks first on the AIR-Bench Chinese Retrieval + Re-ranking Public Leaderboard with a leading performance score of 64.78.
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## News
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