Add flag to save final BiLSTM-CRF model when training on a train-subset #38
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AIessa
approved these changes
Oct 7, 2020
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Thanks! The default is False, and passing the flag will change it to True. |
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When training on a sample of the training data, we previously never saved the final model (for space reasons). This might be undesirable, as it can be useful to evaluate the model in a downstream task.
This PR adds an optional flag to persist the final model. Not passing the flag will keep existing behavior (
save_final_model=False).