How to Improve RNN Model for Time series

Hi guys, I have this model:


`inputs = keras.Input(shape=(sequence_length, raw_data.shape[-1]))`
`x = keras.layers.GRU(128, return_sequences=True)(inputs)`
`x = keras.layers.GRU(64, return_sequences=True)(x)`
`x = keras.layers.GRU(64, return_sequences=True)(x)`
`x = keras.layers.GRU(32,)(x)`
`outputs = keras.layers.Dense(1)(x)`
`model = keras.Model(inputs, outputs)`

And the training goes like this:


[Training plot](https://preview.redd.it/sc5ac3lwlsrc1.png?width=1311&format=png&auto=webp&s=33531cbd5bc0979a2e76e9e638f33acff267e3c3)

How can I improve the model?

deeplearning gru inputs keras rnn series time series training true