🧠 MobileViT-Small — Brain Tumor Classifier (LoRA Fine-tune)

This model is a LoRA fine-tuned version of apple/mobilevit-small
for brain tumor classification on MRI images from the BRISC2025 dataset.

🧩 Configuration

Attribute	Value
Base Model	`apple/mobilevit-small`
Fine-tuning Method	LoRA (Low-Rank Adaptation)
Dataset	BRISC2025
Classes	Glioma, Meningioma, No Tumor, Pituitary
Epochs	10
Batch Size	32
Learning Rate	0.0005
Optimizer	AdamW
LoRA Config	r=4, α=32, dropout=0.1, target_modules=[query, value]
Trainable Params	30.9K / 4.97M (0.62%)

Metric	Avg	Glioma	Meningioma	No Tumor	Pituitary
Accuracy	0.9797	0.9750	0.9578	0.9969	0.9797
Precision	0.9570	0.9708	0.9419	0.9839	0.9316
Recall	0.9570	0.9379	0.8902	1.0000	1.0000
F1 Score	0.9565	0.9540	0.9154	0.9919	0.9646
AUC	0.9980	0.9980	0.9943	0.9999	0.9999

Test loss: 0.1146 Inference time: 0.436 s