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# beit-base-patch16-224-pt22k-ft22k-finetuned-FER2013CKPlus

This model is a fine-tuned version of [Celal11/beit-base-patch16-224-pt22k-ft22k-finetuned-FER2013](https://huggingface.co/Celal11/beit-base-patch16-224-pt22k-ft22k-finetuned-FER2013) on the image_folder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0089
- Accuracy: 1.0

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.9918        | 0.97  | 27   | 0.2528          | 0.8985   |
| 0.3355        | 1.97  | 54   | 0.0703          | 0.9797   |
| 0.2484        | 2.97  | 81   | 0.0232          | 0.9848   |
| 0.1971        | 3.97  | 108  | 0.0197          | 0.9848   |
| 0.1731        | 4.97  | 135  | 0.0089          | 1.0      |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1

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