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