---
license: mit
base_model:
- google/vit-base-patch16-224-in21k
pipeline_tag: image-classification
datasets:
- Jeneral/fer-2013
---

### Model Description

This model is a fine-tuned version of google/vit-base-patch16-224-in21k. It has been fine-tuned on the FER2013 dataset, which contains facial expression images. The model classifies images into four categories of facial expressions:


### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

## How to Get Started with the Model

Use the code below to get started with the model.

[More Information Needed]

## Evaluation

<!-- This section describes the evaluation protocols and provides the results. -->

### Results

Results Summary
Training Accuracy: 83.27%
Validation Accuracy: 76.52%