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Model soups failed until we fixed one line: our 26M grammar tagger from 11% to 1.9% false fixes
Our keyboard's grammar model is a 26.2M-parameter tagger we trained from scratch: one label per word (KEEP / DELETE / REPLACE_x / APPEND_x), no text generation, Core ML on the phone. Over two weeks it...