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没有改动网络;二分类的任务训练;数据集包含2.4w个图像;batch_size=24,input_size=256×256; 问题:在第99个eopch时,total_loss突然为nan,在第101个epoch时,val_loss也变成了nan,如图所示 我查了下,具体有这几种情况:梯度爆炸、学习率过大、损失函数不合适等等,但是不知道是哪种原因。 请问老师您有何见解?
The text was updated successfully, but these errors were encountered:
你好,请问如何在网络中加代码得到您的曲线图呀,bubbliiiing博主给的代码没有曲线图的相关代码,请问您可以分享吗~
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你好,在根目录中的train.py中,317行:
这行代码调用的是util包下callbacks.py的代码。其中就有绘制曲线图的代码,可以在PyCharm中,通过按住Ctrl的同时,鼠标左键点击函数名/类名定位到关键代码处。 更多细节,请自行探究。希望能帮助到你。
你好,请问如何在网络中加代码得到您的曲线图呀,bubbliiiing博主给的代码没有曲线图的相关代码,请问您可以分享吗~ 你好,在根目录中的train.py中,317行: 这行代码调用的是util包下callbacks.py的代码。其中就有绘制曲线图的代码,可以在PyCharm中,通过按住Ctrl的同时,鼠标左键点击函数名/类名定位到关键代码处。 更多细节,请自行探究。希望能帮助到你。
太感谢啦!好仔细~~
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没有改动网络;二分类的任务训练;数据集包含2.4w个图像;batch_size=24,input_size=256×256;
![image](https://private-user-images.githubusercontent.com/39477671/287153602-06fbfad0-6bf7-43c2-a236-ef1d5a3d5b1c.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.gDxJ7Wc3mP4f3OLGK1sxQgj2tRegZ7K277BLwch-gtA)
![image](https://private-user-images.githubusercontent.com/39477671/287153634-8f5e58e3-8666-4ef5-b34c-55e3c1ebb6c4.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.EfFei_r-KKXTs6aRwzcOXOByTcrZQljCpGiD1mkkzxc)
问题:在第99个eopch时,total_loss突然为nan,在第101个epoch时,val_loss也变成了nan,如图所示
我查了下,具体有这几种情况:梯度爆炸、学习率过大、损失函数不合适等等,但是不知道是哪种原因。
请问老师您有何见解?
The text was updated successfully, but these errors were encountered: