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# vit-emotions-fp16

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3314
- Accuracy: 0.9287

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 50   | 1.7532          | 0.4263   |
| No log        | 2.0   | 100  | 1.4569          | 0.535    |
| No log        | 3.0   | 150  | 1.3329          | 0.5262   |
| No log        | 4.0   | 200  | 1.1306          | 0.6475   |
| No log        | 5.0   | 250  | 1.0279          | 0.7275   |
| No log        | 6.0   | 300  | 0.8815          | 0.7863   |
| No log        | 7.0   | 350  | 0.7592          | 0.8337   |
| No log        | 8.0   | 400  | 0.7329          | 0.785    |
| No log        | 9.0   | 450  | 0.6043          | 0.875    |
| 1.1234        | 10.0  | 500  | 0.5688          | 0.8612   |
| 1.1234        | 11.0  | 550  | 0.5193          | 0.88     |
| 1.1234        | 12.0  | 600  | 0.4879          | 0.8938   |
| 1.1234        | 13.0  | 650  | 0.4170          | 0.9038   |
| 1.1234        | 14.0  | 700  | 0.4425          | 0.8912   |
| 1.1234        | 15.0  | 750  | 0.4089          | 0.905    |
| 1.1234        | 16.0  | 800  | 0.3781          | 0.9263   |
| 1.1234        | 17.0  | 850  | 0.3431          | 0.9225   |
| 1.1234        | 18.0  | 900  | 0.3388          | 0.93     |
| 1.1234        | 19.0  | 950  | 0.2973          | 0.9475   |
| 0.3972        | 20.0  | 1000 | 0.3314          | 0.9287   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

anger contempt disgust fear happy neutral sad surprise