With your model selected, go to the
Status
title Inspect
tab.
After each iteration, a new point will be drawn on the line plot. You can deduce from it that, when the curve starts to flatten, the model quality is converging, and probably it's not going to learn much more. If the curve is not stable, you have to continue training the model as it is still learning.

Evaluate model performance

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Info

In case the results are not sufficient, there might be multiple reasons:

you might have to revise your labels and hypotheses and use Promptranker to create another model in order to achieve better results
your evaluation set is not good enough - the distribution in the examples in it is not equal (e.g. in the example above in the evaluation set we had only 30 examples for special occasions but 148 for social gatherings, and respectively the latter got better results)

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