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# emotion_classification

This model is a fine-tuned version of [dennisjooo/emotion_classification](https://huggingface.co/dennisjooo/emotion_classification) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7891
- Accuracy: 0.7575

## 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: 1e-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: cosine_with_restarts
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7123        | 1.0   | 25   | 0.8681          | 0.735    |
| 0.6349        | 2.0   | 50   | 0.8721          | 0.73     |
| 0.6354        | 3.0   | 75   | 0.8732          | 0.725    |
| 0.6189        | 4.0   | 100  | 0.8406          | 0.735    |
| 0.6364        | 5.0   | 125  | 0.8456          | 0.74     |
| 0.5833        | 6.0   | 150  | 0.8503          | 0.725    |
| 0.5384        | 7.0   | 175  | 0.8023          | 0.755    |
| 0.5297        | 8.0   | 200  | 0.8002          | 0.7525   |
| 0.5487        | 9.0   | 225  | 0.8253          | 0.745    |
| 0.5068        | 10.0  | 250  | 0.7891          | 0.7575   |


### 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