The original title is "I have trained a model to predict my blood sugar [P]"

Short summary

A developer trained an encoder-only BERT-style transformer to predict blood glucose levels 2+ hours ahead using past glucose, carbs, and insulin data. Four model sizes (up to 17M params) were pretrained on simulators and fine-tuned on multiple T1DM datasets, with one variant running on the author's phone. The project is open-sourced under MIT license with trained weights and evaluation data included.

• •Encoder-only transformer predicts future blood glucose from past BG, carbs, and insulin data
• •Four model sizes up to 17M params, fine-tuned on OhioT1DM, AZT1D, and ShanghaiT1DM datasets
• •Open-sourced under MIT license with weights and evaluation data

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