dotnet / dotnet/machinelearning-modelbuilder
Text classification multilanguage
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Description
ML.NET 2.0 comes with Text classification.
The Text classification scenario is based on NAS-BERT, which is trained on _English Wikipedia plus BookCorpus_.
When using text classification for a not English language, the accuracy is not as good as expected.
Is there a way to solve this, even by fine- tune ?
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