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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: 1.3327
- Accuracy: 0.4875

## 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
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.8526        | 1.0   | 10   | 1.8929          | 0.3563   |
| 1.7464        | 2.0   | 20   | 1.7105          | 0.3625   |
| 1.6096        | 3.0   | 30   | 1.5898          | 0.4625   |
| 1.4988        | 4.0   | 40   | 1.5056          | 0.5188   |
| 1.4218        | 5.0   | 50   | 1.4349          | 0.4938   |
| 1.3439        | 6.0   | 60   | 1.4127          | 0.525    |
| 1.2799        | 7.0   | 70   | 1.3780          | 0.55     |
| 1.2037        | 8.0   | 80   | 1.3463          | 0.5      |
| 1.1637        | 9.0   | 90   | 1.3236          | 0.55     |
| 1.1361        | 10.0  | 100  | 1.2950          | 0.5437   |
| 1.0836        | 11.0  | 110  | 1.3059          | 0.525    |
| 1.046         | 12.0  | 120  | 1.2707          | 0.525    |
| 1.0277        | 13.0  | 130  | 1.2686          | 0.5563   |
| 1.0236        | 14.0  | 140  | 1.2790          | 0.5062   |
| 0.9926        | 15.0  | 150  | 1.2763          | 0.5687   |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3

anger contempt disgust fear happy neutral sad surprise