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glumind-global-h12
GlucoseDao/glumind-global-h12
glumind-global-h12 is a machine learning model from GlucoseDao. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
GluMind is a Transformer-based glucose forecasting model that predicts future blood glucose values from CGM readings combined with heart rate and step-count features.
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Apr 11, 2026
- Updated
- Apr 11, 2026
- SHA
- 766ed848
Model card
From the Hugging Face model README
GlucoseDao/glumind-global-h12
GluMind is a Transformer-based glucose forecasting model that predicts future blood glucose values from CGM readings combined with heart rate and step-count features.
Model Details
| Parameter | Value |
|---|---|
| Horizon | 12 steps (×5 min each) |
| Input steps | 80 |
| d_model | 32 |
| n_heads | 4 |
| n_blocks | 3 |
| ff_units | 128 |
| dropout | 0.1 |
| Training mode | global |
| Split scheme | classic |
| Best epoch | 26 |
| Best val loss | 0.0015516681092495107 |
Validation Metrics (overall)
mae,rmse,mard
11.433954238891602,17.869876861572266,8.46254825592041
Test Metrics (overall)
mae,rmse,mard
11.698744773864746,18.456811904907227,8.520216941833496
Usage
Download the model and evaluate with:
uv run scripts/glumind/download_from_huggingface.py \
--repo-id GlucoseDao/glumind-global-h12 \
--output-dir test_model
uv run scripts/glumind/evaluate_glumind.py \
--run-dir test_model \
--test-csv test_data/livia_glumind_ready.csv
Files
| File | Description |
|---|---|
best_model.pt | Best model weights (PyTorch state dict) |
config.json | Full training configuration |
tuning_meta.json | Training metadata including dataset stats |
best_info.json | Best epoch and validation loss |
tuning.txt | Training log |
*_metrics_*.csv | Validation and test metrics breakdowns |
- License
- apache-2.0
- Created
- Apr 11, 2026
- Updated
- Apr 11, 2026