---
tags:
- autotrain
- vision
- image-classification
datasets:
- fsuarez/autotrain-data-autotrain-simple-classifierv2
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
  example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
  example_title: Teapot
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
  example_title: Palace
co2_eq_emissions:
  emissions: 1.0491199369635873
---

# Model Description:

This model embodies a Vision Transformer (ViT) architecture tailored for image classification tasks. It's honed to accurately categorize 
images into three specific classes: Button, RadioButton, and CheckBox.

# Training Data:
It's trained on a dataset comprising images from the three classes—Button, RadioButton, and CheckBox—enabling it to adeptly recognize and classify these distinct visual elements.


# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 84935142669
- CO2 Emissions (in grams): 1.0491

## Validation Metrics

- Loss: 0.111
- Accuracy: 0.969
- Macro F1: 0.935
- Micro F1: 0.969
- Weighted F1: 0.969
- Macro Precision: 0.934
- Micro Precision: 0.969
- Weighted Precision: 0.970
- Macro Recall: 0.939
- Micro Recall: 0.969
- Weighted Recall: 0.969