Removing dropout from single-epoch language model pretraining improves downstream task performance and model editability across multiple architectures and benchmarks.
Optimization was donewith regulariza- tionusing AdamW (Loshchilov and Hutter,
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Drop Dropout on Single-Epoch Language Model Pretraining
Removing dropout from single-epoch language model pretraining improves downstream task performance and model editability across multiple architectures and benchmarks.