Hey Rasa @community
We’re excited to announce the release of incremental training, a new experimental feature shipped in Rasa Open Source 2.2.0. This has been a frequently-requested feature by our community, and we’re excited for you to try it out!
Incremental training allows you to fine-tune an existing model after adding new training examples instead of training a new model from scratch. This cuts down training time significantly, reducing the time between annotating new data and testing its impact on model performance. Teams practicing conversation-driven development (CDD) benefit from greater efficiency, faster experimentation, and fewer bottlenecks.
For more details and information on How to Get Started with Incremental Training including code snippets, check out our latest blog post:
As it’s still an experimental feature, and we need your help testing and refining this feature based on your feedback. If you’ve tried incremental training, let us know how it performed on your data set. We’d particularly like to know how training times compared when fine-tuning vs training from scratch, as well as how the fine-tuned model performed. Let us know below!