I can’t seem to get model checkpointing working. Here’s the relevant bit from my config.yml file:
- name: DIETClassifier epochs: 100 evaluate_on_number_of_examples: 50 evaluate_every_number_of_epochs: 1 checkpoint_model: true constrain_similarities: true
I’ve tried running training for 5 epochs. I expect it to save a new model checkpoint after every epoch (if the new checkpoint is better than the last). However, I don’t see it saving any model checkpoints in the models folder when I run
rasa train or in the “checkpoints” folder when I run
rasa train --out checkpoints. Any idea what I’m doing wrong?