I am getting a little desperate. I pretrained and finetuned an ulmfit with nb_12 code and I am trying to use the weights to create a classifier with fastai (version 1.0.58) text_classifier_learner. I am doing this because I need both classifier and regression. I thought this would be easiest with the library. I have the following code and get the respective errors:
config = awd_lstm_lm_config.copy() config['n_hid'] = 1150 learn = language_model_learner(data_lm, AWD_LSTM, config=config,pretrained= False, drop_mult=0.3) learn.load_encoder('finetuned_enc') RuntimeError: Error(s) in loading state_dict for AWD_LSTM: Missing key(s) in state_dict: "encoder.weight", "encoder_dp.emb.weight". Unexpected key(s) in state_dict: "emb.weight", "emb_dp.emb.weight".
load_pretrained gives me:
learn.load_pretrained('finetuned_ulmfit/finetuned.pth', 'finetuned_ulmfit/vocab_lm.pkl') KeyError: '0.encoder.weight'
Clearly, this is a mismatch of weights, but I can’t figure out why I am getting it.