Large MAPE gap between LSTM Optimizers

I used MAPE measurement to compare Adam, Adagrad and SGD. There is a large gap between the results, in stacked LSTM with network size 256, as following: MAPE Adam: 4.43 MAPE Adagrad: 86.30 MAPE SGD: 70.07

Is it normal to have such large difference?

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Hi @Narsis,

A difference this large is not common but can happen depending on the structure of your data and what predictions you’re getting. Maybe there’s also something a bit off in your workflow…

If you’re still experiencing this gap, could you please share your workflow with us, along with enough data, so that we can further examine it?

Thanks,
Aline

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