beans-deit-tiny

Fine-tuned facebook/deit-tiny-patch16-224 for image classification (3 classes: angular_leaf_spot, bean_rust, healthy). Trained in Google Colab (GPU), experiments tracked with MLflow, winner selected by validation accuracy.

Training

• Dataset: AI-Lab-Makerere/beans
• Train / val / test: 1034 / 133 / 128
• Learning rate: 0.0002
• Epochs: 3
• Batch size: 32
• MLflow run: run1_lr0.0002_ep3 (a4050afef1c545cd8e87cc47cba1bd02)

Results

split	accuracy	macro F1
validation	0.9624	0.9628
test	0.9453	0.9462

Per-class metrics (test)

class	precision	recall	f1	support
angular_leaf_spot	1	0.8837	0.9383	43
bean_rust	0.86	1	0.9247	43
healthy	1	0.9524	0.9756	42

Usage

from transformers import pipeline
clf = pipeline("image-classification", model="Konradowsky/beans-deit-tiny")
clf("image.jpg", top_k=3)