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Clarify how to choose pretrained weights files (closes #6027) [ci skip] (#6039)

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Marek Grzenkowicz 2020-09-08 21:13:50 +02:00 committed by GitHub
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@ -445,7 +445,8 @@ an approximate language-modeling objective. Specifically, we load pretrained
vectors, and train a component like a CNN, BiLSTM, etc to predict vectors which
match the pretrained ones. The weights are saved to a directory after each
epoch. You can then pass a path to one of these pretrained weights files to the
`spacy train` command.
`spacy train` command. You can try to use a few with low `Loss` values reported
in the output.
This technique may be especially helpful if you have little labelled data.
However, it's still quite experimental, so your mileage may vary. To load the