Paddle crnn的v3 模型训练到什么时候就达到极限准确度?怎么判断?

nx7onnlm  于 4个月前  发布在  其他
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crnn的v3 模型训练到什么时候就达到极限准确度?怎么判断?

fcy6dtqo

fcy6dtqo1#

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tvz2xvvm

tvz2xvvm2#

建议固定epoch或者step数进行一次eval,可参考DEMO链接:https://www.paddlepaddle.org.cn/documentation/docs/zh/practices/cv/pointnet.html#sixunlian

ggazkfy8

ggazkfy83#

当eval的准确率不再提升,就是到极限了?

a8jjtwal

a8jjtwal4#

理论上说是的,在eval的数据集上达到了极限。此外建议您在实践中,还可以保存多个准确率较高的checkpoint,在您真实数据集上进行predict,选取最优的训练好的模型

ftf50wuq

ftf50wuq5#

不知道谷歌是怎么训练的,google vision 准确度高很多

xiozqbni

xiozqbni6#

看您之前的eval结果,才训练到第2个epoch,建议看看多训练一会后的的结果

vlf7wbxs

vlf7wbxs7#

数据集有千万。所以比较慢。之前断过一次。共训练了3个epoch。每次eval,如果结果没有改善,比之前的best结果好,还是保存之前的best模型?
谷歌的是怎么训练的?

fcwjkofz

fcwjkofz8#

你可以看一下谷歌训练了多少个epoch。建议是保存多个最优的

hfsqlsce

hfsqlsce9#

不知道谷歌训练多少数据,多少epoch。而且没有谷歌的离线模型可以下载,不知道怎么下载

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