Apple researchers: bilingual data mixing beats hyperparameter tuning

Apple ML paper finds that in data-constrained settings, mixing in high-resource language data outperforms aggressive hyperparameter tuning like high weight decay for pre-training.

Read it at Apple ML Research →

Coverage: 1 sources, in order

1. 13 Oct 00:00 Apple ML Research: Mix, Don't Tune: Bilingual Pre-Training Outperforms Hyperparameter Search in Data-Constrained Settings

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