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food-nutrition-multitask
AlphaAkib/food-nutrition-multitask
food-nutrition-multitask is a machine learning model from AlphaAkib. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
ConvNeXt-Tiny backbone fine-tuned jointly for: - Nutrition regression: totalcalories, totalmass, totalfat, totalcarb, totalprotein - Multi-label ingredient recognition (80 ingredient classes)
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At a glance
- Access
- Public
- Created
- Aug 2, 2026
- Updated
- Aug 2, 2026
- SHA
- 76fbb83f
Model card
From the Hugging Face model README
Food Nutrition Multi-Task Model
ConvNeXt-Tiny backbone fine-tuned jointly for:
- Nutrition regression: total_calories, total_mass, total_fat, total_carb, total_protein
- Multi-label ingredient recognition (80 ingredient classes)
Trained on mmathys/food-nutrients (Nutrition5k-derived).
Test-set MAE: {'total_calories': 39.68, 'total_mass': 23.8, 'total_fat': 2.81, 'total_carb': 3.56, 'total_protein': 3.51} Test-set ingredient micro-F1: 0.881
See the accompanying notebook for the model definition (FoodNutritionModel) and how to load
model_weights.pt + config.json for inference.
- Created
- Aug 2, 2026
- Updated
- Aug 2, 2026