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Same Model, 4 Tokenizers. 30 Percentage Points of Difference.

This story is from 2026-09-11. It is preserved in the archive; the latest stories are on the live feed.

Same model, same data, 4 different ways to chop text into tokens. The accuracy spread was 30 percentage points. Setup Task: AG News classification (World, Sports, Business, Sci/Tech) Model: Embedding (64d) + Average Pooling + 2-layer FC (128 hidden). Identical for all tokenizers. Data: 15K train, 3…

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  1. 2026-09-11 14:24 · DEV Community — Machine Learning
    Same Model, 4 Tokenizers. 30 Percentage Points of Difference.

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