How to use Deep Network Designer for training testing network?

I am trying to model a LSTM based network using the Deep Network Designer Toolbox in MATLAB. I have designed the network LSTM Network Architecture for Classification as given in https://uk.mathworks.com/help/deeplearning/ug/long-short-term-memory-networks.html . The network starts with a sequence input layer followed by an LSTM layer. To predict class labels, the network ends with a fully connected layer, a softmax layer, and a classification output layer. I have divided my data into predictors of dimensions 100x21392 double and Tvec (response of dimensions 14x21392 sparse for 14 classes of output labels). I would like to train and test the network but am completely clueless. I have referred to other documentation on https://uk.mathworks.com/help/deeplearning/ug/long-short-term-memory-networks.html but am confused as to how I can shape my data to be able to be used for this purpose. I exported the 5x1 Layer from Deep Network Designer toolbox into the workspace, but after that I am not able to understand as to how I can train/test the network. Any help in this regard would be most appreciated. Cheers!