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- Research any other ways we are able to train higher up the network–perhaps try out a higher degree of augmentation (50-70%), with two unfrozen layers and a low LR.
- Calculate F1 score to measure model accuracy
- Look into more ways we can improve our network. I don't necessarily think that means more “features” on top of the architecture we already have, but perhaps different ways to pass in data, etc.
- Feel free to try your model architecture using EfficientNet.
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