Calling language_model_learner with the config parameter kills notebook by running out memory

[bfarzin (Bobak Farzin)]

Late to get to this. If you have not solved it already, then have a look at the end of this:

Using QRNN in Language Models

You are not the first on to be confused by this! Rather than defining the config as a dict, you make a copy of the default and then tweak and pass to the language_model_learner constructor. This way you are sure to have all the params that are needed to train. I put that into your notebook, can you see it. It should look like this: config = awd_lstm_lm_config.copy() config['qrnn'] = True learn = language_model_learner(data_lm, AWD_LSTM, drop_mult=0.5,config=awd_lstm_lm_config,pretrained=Fal…