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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: 0.3051
- 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: 25

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 50   | 1.7679          | 0.3862   |
| No log        | 2.0   | 100  | 1.4584          | 0.5375   |
| No log        | 3.0   | 150  | 1.3209          | 0.5162   |
| No log        | 4.0   | 200  | 1.1580          | 0.62     |
| No log        | 5.0   | 250  | 0.9946          | 0.7275   |
| No log        | 6.0   | 300  | 0.8519          | 0.7887   |
| No log        | 7.0   | 350  | 0.7374          | 0.8325   |
| No log        | 8.0   | 400  | 0.7250          | 0.815    |
| No log        | 9.0   | 450  | 0.5821          | 0.88     |
| 1.1152        | 10.0  | 500  | 0.5239          | 0.8838   |
| 1.1152        | 11.0  | 550  | 0.5121          | 0.8712   |
| 1.1152        | 12.0  | 600  | 0.4444          | 0.9038   |
| 1.1152        | 13.0  | 650  | 0.3894          | 0.9137   |
| 1.1152        | 14.0  | 700  | 0.3956          | 0.9137   |
| 1.1152        | 15.0  | 750  | 0.3806          | 0.91     |
| 1.1152        | 16.0  | 800  | 0.3328          | 0.9375   |
| 1.1152        | 17.0  | 850  | 0.3076          | 0.9287   |
| 1.1152        | 18.0  | 900  | 0.3026          | 0.9363   |
| 1.1152        | 19.0  | 950  | 0.2388          | 0.96     |
| 0.3752        | 20.0  | 1000 | 0.2892          | 0.935    |
| 0.3752        | 21.0  | 1050 | 0.2539          | 0.9413   |
| 0.3752        | 22.0  | 1100 | 0.2299          | 0.9525   |
| 0.3752        | 23.0  | 1150 | 0.2131          | 0.9575   |
| 0.3752        | 24.0  | 1200 | 0.2300          | 0.9525   |
| 0.3752        | 25.0  | 1250 | 0.2393          | 0.9537   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1

anger contempt disgust fear happy neutral sad surprise