How to fix ModuleAttributeError: 'SequentialRNN' object has no attribute 'keys' in NLP classification

Deep Learning
1

I have a problem I have never encountered before in text classification with fastai.

This exact same code works perfectly fine with a different dataset.

I also considered instances where the same labels are only in the testing data and not training data and vice-versa. This was not the issue

# Dataloader
dls = TextDataLoaders.from_df(
    df_training,
    text_col="text",
    label_col="label",
    bs=64 * 2,
    is_lm=True,
    seq_len=72)

# Take Pre-trained language model
learn = language_model_learner(
dls, AWD_LSTM, drop_mult=0.25, metrics=[accuracy, Perplexity])

# Train and save the encoder
learn.fit_one_cycle(6, slice(1e-3))
learn.export('coder.pth')


# data laoder for classification
dls_class = dls = TextDataLoaders.from_df(
    df_training, text_col="text", label_col="label", bs=64 * 2, is_lm=False, seq_len=72, valid_pct = 0)

dls_class = dls = TextDataLoaders.from_df(
    df_training, text_col="ha_question", label_col="ctd_section", bs=64 * 2, is_lm=False, seq_len=72, valid_pct = 0)

class_learn.load_encoder('/SFS/user/ry/hrobar/msd_projects/nlp/coder')

Returns an error:

ModuleAttributeError: 'SequentialRNN' object has no attribute 'keys'