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你好, 非常感谢提供6-2的训练流程,三,自定义训练循环中最后验证集准确率跟损失计算有问题,我刚接触tf2,所没找到是哪里的问题。示例中验证集的损失明显过大,准确率过低。为了验证我的想法,我把训练集同时当做了验证集,train_model(model,train_dataset,train_dataset,EPOCH) Epoch=5,Loss:0.30140844,Accuracy:0.917645752,Valid Loss:3.73952508,Valid Accuracy:0.430102259 结果中差别过大。 如果方便的话麻烦调试一下,万分感谢!
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你好, 非常感谢提供6-2的训练流程,三,自定义训练循环中最后验证集准确率跟损失计算有问题,我刚接触tf2,所没找到是哪里的问题。示例中验证集的损失明显过大,准确率过低。为了验证我的想法,我把训练集同时当做了验证集,train_model(model,train_dataset,train_dataset,EPOCH)
Epoch=5,Loss:0.30140844,Accuracy:0.917645752,Valid Loss:3.73952508,Valid Accuracy:0.430102259 结果中差别过大。
如果方便的话麻烦调试一下,万分感谢!
The text was updated successfully, but these errors were encountered: