CIFAR- Model 2
Use ADAM optimizer with learning rate = 0.01 and cross-entropy as the loss function.
Created on May 28|Last edited on May 28
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Test Accuracy and Loss
We can see that as the number of epochs rises, the model get well trained which increases accuracy and resulted in lowering down the Test Loss
Optimizer- Adam with LR=0.01
Loss Function= Cross Entropy
Here, we observed Test accuracy increases up to 47 % mark only.
As this is Adam optimizer, we observed sudden spikes in test accuracy across epochs.
Run: avid-darkness-90
1
Run: avid-darkness-90
1
Run: avid-darkness-90
1
Run: avid-darkness-90
1
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