Created
October 22, 2019 09:28
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| bs=32 # was 48 | |
| data_lm = TextLMDataBunch.from_df(train_df = df_trn, valid_df = df_val, path = path_d) | |
| data_lm.save( path_d/'data_lm.pkl') # saving as a back stop | |
| data_lm = load_data( '/sample_data2','data_lm.pkl', bs=bs) | |
| learn = language_model_learner(data_lm, AWD_LSTM, drop_mult=0.3) | |
| learn.lr_find() | |
| learn.recorder.plot(skip_end=15) | |
| learn.fit_one_cycle(10, 1e-2, moms=(0.8,0.7)) |
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