Using a development set for early stopping can change reported accuracy for low-resource NLP models, with per-language differences up to 18 percentage points compared to tuning training length on other languages.
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Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set
Using a development set for early stopping can change reported accuracy for low-resource NLP models, with per-language differences up to 18 percentage points compared to tuning training length on other languages.