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您好,我构建了一个自有数据集,格式为[label, query1, query2],使用该数据集微调m3e-base模型。同时构建了一个测试数据集,格式为[query, passage1,passage2,passage3,passage4,passage5]。使用原始m3e-base模型和微调后模型分别得到测试数据集的MAE,P@top3,Spearman,发现这三个指标都下降了,这是什么原因呢
附相关指标参数: MAE P@top3 Spearman 备注 m3e-base 1.068 0.733 0.431 normalized m3e-base 1.072 0.7333 0.428 not normalized m3e-base-ft 1.24 0.6766 0.3039 使用query2query数据集微调
None
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loss 的变化怎么样,是不是过拟合了?
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wangyuxinwhy
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🐛 bug 说明
您好,我构建了一个自有数据集,格式为[label, query1, query2],使用该数据集微调m3e-base模型。同时构建了一个测试数据集,格式为[query, passage1,passage2,passage3,passage4,passage5]。使用原始m3e-base模型和微调后模型分别得到测试数据集的MAE,P@top3,Spearman,发现这三个指标都下降了,这是什么原因呢
附相关指标参数:
MAE P@top3 Spearman 备注
m3e-base 1.068 0.733 0.431 normalized
m3e-base 1.072 0.7333 0.428 not normalized
m3e-base-ft 1.24 0.6766 0.3039 使用query2query数据集微调
Python Version
None
The text was updated successfully, but these errors were encountered: