training a discriminator #41
Description
I am trying to train a discriminator on my own (the network learns to differentiate between text from one specific source from generic text ) . The idea is that I should be able to plug it into the PPLM model and generate sentences that look like they are from the particular source. Is this something that can work out ? From you previous experience of training the discriminator on 'sentiment', 'clickbait' etc, is there a minimum training data size you recommend ?