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pocket-tts-gguf

idle-intelligence

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Yuan-embedding-2.0-zh 是专门为中文文本检索任务设计的嵌入模型。我们在Yuan-embedding-1.0的基础上,针对Retrieval任务与Reranking任务进行了进一步优化。主要工作如下: - 数据增强 - Hard negative sampling:利用Rerank模型与LLM进行双重评估,筛选出高质量正负样本 - LLM合成数据:利用Yuan2-M32针对训练数据query进行LLM重写 - 损失函数设计 - Multi-Task loss - Matryoshka Representation Learning - Retrieval任务使用InfoNCE with in-batch-negative - 针对Reranking任务设计Margin-Adaptive Pairwise Ranking Loss

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