Submitted by International_Deer27 t3_10qhscf in deeplearning
International_Deer27 OP t1_j6x0yff wrote
Reply to comment by BlacksmithNo4415 in Loss function fluctuating by International_Deer27
For this new model the loss function looks pretty much the same:
Epoch [1/5], Loss: 0.8073
Epoch [2/5], Loss: 0.8680
Epoch [3/5], Loss: 0.5826
Epoch [4/5], Loss: 0.7626
Epoch [5/5], Loss: 0.6099
BlacksmithNo4415 t1_j6x2xia wrote
i've checked for papers that do exactly what you want.
so as I assumed this data is time sensitive and therefor you need an additional temporal dimension.
this model needs to be more complex in order to solve this problem.
i suggest reading this:
https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-021-01736-y
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BTW: have you tried grid search for finding the right hyperparametrs?
oh and your model does improve..
have you increased the data set size??
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