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I am trying to predict remaining useful life (RUL) from temporal data with multilayered LSTM and obtaining the following curve:

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Looks like after first several epochs performance stops to improve and starts oscillating. Is it known situation?

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Two options are most likely:

  • Your learning rate is too high to further improve. Try decreasing it by 2-10 times and see what happens. Potentially using a learning rate scheduler is beneficial - start with high learning rate but decrease it after a few epochs.
  • You don't have enough capacity in the network or you are not inputting things correctly. Hard to say without knowing more details and seeing the code
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