2021搜狐校园文本匹配算法大赛baseline
分享了一个搜狐文本匹配的baseline，主要是通过条件LayerNorm来增加模型的多样性，以实现同一模型处理不同类型的数据、形成不同输出的目的。
线下验证集F1约0.74，线上测试集F1约0.73。预训练模型是RoFormer，也欢迎对比其他预训练模型的效果。
测试环境：tensorflow 1.14 + keras 2.3.1 + bert4keras 0.10.5，如果在其他环境组合下报错，请根据错误信息自行调整代码。
详情请看：https://kexue.fm/archives/8337
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sohu2021-baseline 2021搜狐校园文本匹配算法大赛baseline 简介 分享了一个搜狐文本匹配的baseline，主要是通过条件LayerNorm来增加模型的多样性，以实现同一模型处理不同类型的数据、形成不同输出的目的。 线下验证集F1约0.74，线上测试集F1约0.73。
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