How to train the lstm model more than one epoch

General Usage
7

It works! Thank you very much!
Here is a simple example. Do you know how to plot loss?

using Flux

Nt = 100       # time steps
Nin,Nout = 5,3 # input size, output size
Nh = 28        # hidden dim
lstm = Chain(LSTM(Nin,Nh),Dense(Nh,Nout)) # simple lstm

# generate some fake data
X,Y = [randn(Float32,Nin,Nt) for i=1:10],[randn(Float32,Nout,Nt) for i=1:10] 

data = Flux.Data.DataLoader((X, Y), batchsize=2)
# loss uses broadcasting 
loss(x, y) = sum(Flux.Losses.mse.(lstm.(x), y))
ps = Flux.params(lstm)

Flux.train!(loss,ps,data,ADAM())