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# hq_fer2013notest

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: 0.8294
- Accuracy: 0.7052
- Precision: 0.7048
- Recall: 0.7052
- F1: 0.7036

## 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: 32
- eval_batch_size: 32
- seed: 17
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 1.2982        | 1.0   | 353  | 1.2708          | 0.5635   | 0.5107    | 0.5635 | 0.5168 |
| 1.0218        | 2.0   | 706  | 1.0159          | 0.6411   | 0.6397    | 0.6411 | 0.6301 |
| 0.9437        | 3.0   | 1059 | 0.9452          | 0.6631   | 0.6698    | 0.6631 | 0.6556 |
| 0.8282        | 4.0   | 1412 | 0.8873          | 0.6829   | 0.6798    | 0.6829 | 0.6743 |
| 0.7717        | 5.0   | 1765 | 0.8612          | 0.6884   | 0.6888    | 0.6884 | 0.6835 |
| 0.7678        | 6.0   | 2118 | 0.8473          | 0.6985   | 0.6989    | 0.6985 | 0.6966 |
| 0.7096        | 7.0   | 2471 | 0.8363          | 0.7018   | 0.7001    | 0.7018 | 0.6989 |
| 0.6803        | 8.0   | 2824 | 0.8333          | 0.7036   | 0.7036    | 0.7036 | 0.7019 |
| 0.6521        | 9.0   | 3177 | 0.8309          | 0.7050   | 0.7039    | 0.7050 | 0.7028 |
| 0.6671        | 10.0  | 3530 | 0.8294          | 0.7052   | 0.7048    | 0.7052 | 0.7036 |


### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2

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