2026-10-05 · America/Los_Angeles · 社区动态 · #8

I have trained a model to predict my blood sugar (Part 2) [P]

This is related to my previous post where I shared an encoder-only transformer model trained on ohiot1dm + shanghait1dm + azt1d datasets. This time I trained the model on the outputs of my T1DM patient simulator and then measured its zero-shot performance on my real-world blood glucose traces. The above model has 31,251 parameters (16 layers, 1 attention head per layer, and a hidden dimension size of 16). Training took <60 minutes on nvidia dgx spark. It's an encoder-only transformer that predicts the next 2 hours, and can be used autoregressively for long-horizon predictions (e.g. 8-hour…

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