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# emotion_classification

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: 1.2745
- Accuracy: 0.6375

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 20   | 1.7629          | 0.4375   |
| No log        | 2.0   | 40   | 1.5012          | 0.5      |
| No log        | 3.0   | 60   | 1.3757          | 0.5      |
| No log        | 4.0   | 80   | 1.2452          | 0.5625   |
| No log        | 5.0   | 100  | 1.2394          | 0.5625   |
| No log        | 6.0   | 120  | 1.2083          | 0.6125   |
| No log        | 7.0   | 140  | 1.2209          | 0.575    |
| No log        | 8.0   | 160  | 1.2755          | 0.5875   |
| No log        | 9.0   | 180  | 1.2794          | 0.5687   |
| No log        | 10.0  | 200  | 1.2639          | 0.6125   |
| No log        | 11.0  | 220  | 1.3129          | 0.6125   |
| No log        | 12.0  | 240  | 1.2277          | 0.6312   |
| No log        | 13.0  | 260  | 1.3620          | 0.5938   |
| No log        | 14.0  | 280  | 1.3023          | 0.6062   |
| No log        | 15.0  | 300  | 1.3334          | 0.6      |
| No log        | 16.0  | 320  | 1.4142          | 0.5813   |
| No log        | 17.0  | 340  | 1.2863          | 0.6125   |
| No log        | 18.0  | 360  | 1.4084          | 0.5875   |
| No log        | 19.0  | 380  | 1.4195          | 0.575    |
| No log        | 20.0  | 400  | 1.4164          | 0.5938   |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3

anger contempt disgust fear happy neutral sad surprise