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Change defaults in EmbeddingIntentClassifier and DIETClassifier #5717

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merged 9 commits into from
Apr 27, 2020

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@dakshvar22 dakshvar22 commented Apr 24, 2020

Proposed changes:

  • Use scale_loss=False in DIETClassifier
  • Reduce the dense dimension size for sparse features to 256 in EmbeddingIntentClassifier
  • Tested with different configs on 5 datasets.

Status (please check what you already did):

  • updated the documentation
  • updated the changelog (please check changelog for instructions)
  • reformat files using black (please check Readme for instructions)

@akelad akelad removed their request for review April 27, 2020 07:07
@dakshvar22 dakshvar22 requested a review from Ghostvv April 27, 2020 09:26
@dakshvar22 dakshvar22 merged commit 81bcc8a into master Apr 27, 2020
@dakshvar22 dakshvar22 deleted the change_defaults branch April 27, 2020 13:25
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2 participants