# Moderate accuracy

A fine-tuned emotion image classification model based on Google's ViT model, achieving an accuracy of 59.38% on the validation set.

This is a Vision Transformer (ViT) model fine-tuned on an image classification task based on the tiny-random-vit architecture, achieving 66.47% accuracy on the evaluation set.