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Daniël de Kok 2024-04-11 15:50:52 +02:00
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@ -1710,7 +1710,7 @@ typical use case for distillation is to extract a smaller, more performant model
from a larger high-accuracy model. Since distillation uses the activations of from a larger high-accuracy model. Since distillation uses the activations of
the teacher, distillation can be performed on a corpus of raw text without (gold the teacher, distillation can be performed on a corpus of raw text without (gold
standard) annotations. A development set of gold annotations _is_ needed to standard) annotations. A development set of gold annotations _is_ needed to
evaluate the distilled model on during distillation. evaluate the student pipeline on during distillation.
`distill` will save out the best performing pipeline across all epochs, as well `distill` will save out the best performing pipeline across all epochs, as well
as the final pipeline. The `--code` argument can be used to provide a Python as the final pipeline. The `--code` argument can be used to provide a Python