textcat vs textcat_multilabel

[ryanwesslen]

@spothedog1

And yea as a beginner, I think it makes for the output of textcat.teach --exclusive to feed directly into train --textcat. Just seems logical as a flow for training a binary classifier.

Completely agree! I found the same issue while I was trying to create new content for beginners and thought the same. We'll see about improving this in the future.

@spothedog1

Also, is there anywhere you could point me to to understand the output of train? Some documentation on LOSS TOK2VEC, LOSSTEXTCAT, CATS_SCORE, SPEED, SCORE would be helpful, thanks!

Good point! Check out this recent post:

understanding the different terminology in the command line output of a training pipeline

Hi @nanyasrivastav! Thank you for your questions! These concepts are very important. I'm glad you've asked because it's hard to effectively use Prodigy without understanding them . Initial learn rate: The initial learning rate used. The learning rate is a tuning parameter in an optimization algorithm that determines the step size at each iteration while moving toward a minimum of a loss function. This is a default value but can be optimized for training. Optimizing the learning …

I appreciate your point on more documentation! I've made a note on this and will look into creating some content on this topic in the future.

Thanks again for your feedback and reach back out any time we can help!