
# vit-base-patch16-224-in21k_Simpsons_Family_Members

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k).

It achieves the following results on the evaluation set:
- Loss: 0.2431
- Accuracy: 0.9530
- F1
  - Weighted: 0.9522
  - Micro: 0.9530
  - Macro: 0.9521
- Recall
  - Weighted: 0.9530
  - Micro: 0.9530
  - Macro: 0.9531
- Precision
  - Weighted: 0.9605
  - Micro: 0.9530
  - Macro: 0.9601

## Model description

This is a multiclass image classification model of members of The Simpsons family.

For more information on how it was created, check out the following link: https://github.com/DunnBC22/Vision_Audio_and_Multimodal_Projects/blob/main/Computer%20Vision/Image%20Classification/Multiclass%20Classification/Simpsons%20Family%20Images/Simpsons_family_with_hf_ViT.ipynb

## Intended uses & limitations

This model is intended to demonstrate my ability to solve a complex problem using technology.

## Training and evaluation data

Dataset Source: https://www.kaggle.com/datasets/williamu32/dataset-bart-or-homer

_Sample Images From Dataset:_

![Sample Images](https://github.com/DunnBC22/Vision_Audio_and_Multimodal_Projects/raw/main/Computer%20Vision/Image%20Classification/Multiclass%20Classification/Simpsons%20Family%20Images/Images/Sample%20Images.png)

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Weighted F1 | Micro F1 | Macro F1 | Weighted Recall | Micro Recall | Macro Recall | Weighted Precision | Micro Precision | Macro Precision |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:|:--------:|:--------:|:---------------:|:------------:|:------------:|:------------------:|:---------------:|:---------------:|
| 1.5773        | 1.0   | 373  | 1.0482          | 0.7772   | 0.7263      | 0.7772   | 0.7261   | 0.7772          | 0.7772       | 0.7778       | 0.8933             | 0.7772          | 0.8922          |
| 0.1598        | 2.0   | 746  | 0.3902          | 0.9059   | 0.9028      | 0.9059   | 0.9026   | 0.9059          | 0.9059       | 0.9060       | 0.9224             | 0.9059          | 0.9219          |
| 0.027         | 3.0   | 1119 | 0.2431          | 0.9530   | 0.9522      | 0.9530   | 0.9521   | 0.9530          | 0.9530       | 0.9531       | 0.9605             | 0.9530          | 0.9601          |


### Framework versions

- Transformers 4.22.2
- Pytorch 1.12.1
- Datasets 2.5.2
- Tokenizers 0.12.1
bart_simpson homer_simpson lisa_simpson maggie_simpson marge_simpson