AppleAnalysisAI ModelsOctober 13, 2026

Apple study: bilingual data mixing beats hyperparameter tuning

Read original source →machinelearning.apple.com

Across ~1,000 pre-training runs at four scales (150M–1.43B params), mixing English into Arabic training beat weight-decay tuning, gaining the equivalent of 2–3x unique target data on validation loss and 2–13x on downstream accuracy.

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