Comprehensive guide or course to model finetuning/training results

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Hi @joe!

Have you searched or used the spaCy GitHub discussion site yet?

Prodigy offers some training functions (e.g., prodigy train) but these are mainly simple defaults for spacy train. This website is more dedicated to Prodigy-related support (e.g., recipes, Prodigy bugs, etc.). The spaCy GitHub discussion site focuses more on training and may be more helpful for your questions. For instance, here are examples of posts from the spaCy discussion site:

  1. FAQ: Guide to understanding hyperparameters in spaCy
  2. Fine tuning Vs. Training Spacy NER
  3. More information on transformers and hyperparameter tuning

Be sure to also check out that forum's FAQ / Common Issues / Troubleshooting Guide first. It has great suggestions on writing good questions that will lead to faster assistance from the spacy core team. The guide also has some additional helpful links on training too.

In addition to that forum, if you want to dig deeper into training, you likely need to customize your spacy config files. This may be a bit of a learning curve but well worth the time if you want to dig into more advanced training techniques.

I hope this helps!