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zhanglaplace avatar zhanglaplace commented on August 25, 2024

@hustzeyu 这个没有测,自己只是随便跑的一个。抱歉

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piaopiaoxiaoye avatar piaopiaoxiaoye commented on August 25, 2024

Can I use this caffemodel on Android platform or linux platform? Is this your already trained "mobilefacenet" model?
Thank you!
best regards!

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shiyuanyin avatar shiyuanyin commented on August 25, 2024

@hustzeyu 这个没有测,自己只是随便跑的一个。抱歉

作者您好,
我用的vggface2,下载的训练集8631,的数据进行训练,损失函数和您的模型也是一样的,训练的时候从12左右的损失值开始减少,但是,并没有收敛,损失值在10左右震荡,不继续减小,作者您遇到过这个情况吗???可能有哪些原因昵

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zhanglaplace avatar zhanglaplace commented on August 25, 2024

@piaopiaoxiaoye
Andrioid : using ncnn and convert caffe model to ncnn model
linux : Just compile caffe

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zhanglaplace avatar zhanglaplace commented on August 25, 2024

@shiyuanyin learning_rate and batch_size ?

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shiyuanyin avatar shiyuanyin commented on August 25, 2024

@zhanglaplace
lr 0.1 开始, batchsize=64

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shiyuanyin avatar shiyuanyin commented on August 25, 2024

@shiyuanyin learning_rate and batch_size
需要,预训练sortmax 的model吗?我直接训练,除了数据不是9136(我的8136),不能收敛,一直震荡

@zhanglaplace
Andrioid : using ncnn and convert caffe model to ncnn model
linux : Just compile caffe

需要,预训练sortmax 的model吗?我直接训练,除了数据不是9136(我的8136),不能收敛,一直震荡

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zhanglaplace avatar zhanglaplace commented on August 25, 2024

@shiyuanyin Try to increase the learning rate. In addition, make sure your training data and labels are aligned。

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borisgribkov avatar borisgribkov commented on August 25, 2024

@shiyuanyin Did you solve the problem? I see the same behavior with ResNet-18 with ArcLoss and VGG2 training set, I guess that alignment is important

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borisgribkov avatar borisgribkov commented on August 25, 2024

@shiyuanyin I guess I fixed the problem, in case of not aligned vgg2 dataset training is very sensitive to M parameter, try to change

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