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# emotion_recog

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: 1.4314
- Accuracy: 0.5188

## 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: 3e-05
- train_batch_size: 64
- eval_batch_size: 64
- 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   | 10   | 2.0378          | 0.2812   |
| No log        | 2.0   | 20   | 1.9741          | 0.325    |
| No log        | 3.0   | 30   | 1.8878          | 0.4188   |
| No log        | 4.0   | 40   | 1.7969          | 0.4188   |
| No log        | 5.0   | 50   | 1.6954          | 0.4375   |
| No log        | 6.0   | 60   | 1.6114          | 0.5062   |
| No log        | 7.0   | 70   | 1.5550          | 0.5125   |
| No log        | 8.0   | 80   | 1.5190          | 0.5312   |
| No log        | 9.0   | 90   | 1.4752          | 0.5125   |
| No log        | 10.0  | 100  | 1.4542          | 0.5563   |
| No log        | 11.0  | 110  | 1.4416          | 0.5125   |
| No log        | 12.0  | 120  | 1.4155          | 0.55     |
| No log        | 13.0  | 130  | 1.3733          | 0.5437   |
| No log        | 14.0  | 140  | 1.3943          | 0.5062   |
| No log        | 15.0  | 150  | 1.3682          | 0.5375   |
| No log        | 16.0  | 160  | 1.3847          | 0.5188   |
| No log        | 17.0  | 170  | 1.3590          | 0.525    |
| No log        | 18.0  | 180  | 1.3557          | 0.5375   |
| No log        | 19.0  | 190  | 1.3619          | 0.525    |
| No log        | 20.0  | 200  | 1.3239          | 0.55     |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1

anger contempt disgust fear happy neutral sad surprise