How to train NER LSTM on single sentence level
Looks like this is done by the hyper-parameter called timestemps or sequence length. The steps/length indicates when the cell state is reset. Which can be set to a sentence length.

Just have to figure out whether this can be a variable length or the sentences should perhaps be padded?