---
license: mit
metrics:
- accuracy
pipeline_tag: image-classification
tags:
- vision
- ViT
---
license: mit
metrics:
- accuracy
pipeline_tag: image-classification
library_name: pytorch
tags:
- vision
- vit
- image-classification
- cifar100
- vision-transformer
- pytorch
- computer-vision
datasets:
- cifar100
language:
- en
model-index:
- name: VTLM37m
  results:
  - task:
      type: image-classification
      name: Image Classification
    dataset:
      name: CIFAR-100
      type: cifar100
    metrics:
    - type: accuracy
      value: 54.61
      name: Accuracy
---
<div align="center">

# Vision Transformer - CIFAR-100

*Um Vision Transformer compacto de 37M parâmetros*

![PyTorch](https://img.shields.io/badge/PyTorch-EE4C2C?style=flat&logo=pytorch&logoColor=white)
![Accuracy](https://img.shields.io/badge/Accuracy-54.61%25-green)
![Parameters](https://img.shields.io/badge/Parameters-37M-blue)

</div>

##  Resumo Rápido

Este é um Vision Transformer treinado do zero no dataset CIFAR-100, alcançando 54% de acurácia com apenas 37M parâmetros.

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- **Developed by:** [Gabriel Yogi]
- **Model type:** [Vision Transformer]
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- **Repository:** [(https://github.com/MadrasLe/vision-transformer-37M-)]

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