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您好,测试集的准确率与训练的时候训练集和验证集的损失不成正比,最好的测试集结果出现在第11代,后面随着损失的减小,准确率并没有提高,还有所下降,第11代的loss大概为0.2左右,请问是什么原因?尝试过很多次了,都这样,期待您的回复!
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请问你的测试集指的是什么?是GOT10K吗,还是别的数据集集如OTB。 在训练时候,我注意到的现象是,训练集下的loss和验证集下的loss均是下降趋势直到平稳。训练完成后,我没有测试不同epoch的模型,直接取最后一轮(epoch 50)的模型进行各数据集的测试。但是我觉得不同epoch的模型性能可能确实有起伏,不知道第50epoch相比于11epoch有多少下降?
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您好,测试集的准确率与训练的时候训练集和验证集的损失不成正比,最好的测试集结果出现在第11代,后面随着损失的减小,准确率并没有提高,还有所下降,第11代的loss大概为0.2左右,请问是什么原因?尝试过很多次了,都这样,期待您的回复!
The text was updated successfully, but these errors were encountered: