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International_Deer27 OP t1_j6x0yff wrote

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

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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

​

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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