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# vit-base-patch16-224-in21k-finetuned-mobile-eye-tracking-dataset-v2

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: 0.2615
- Accuracy: 0.9231

## 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: 32
- eval_batch_size: 32
- seed: 42
- 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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 2    | 0.6641          | 0.6154   |
| No log        | 2.0   | 4    | 0.6343          | 0.6154   |
| No log        | 3.0   | 6    | 0.5990          | 0.6154   |
| No log        | 4.0   | 8    | 0.5438          | 0.8462   |
| No log        | 5.0   | 10   | 0.5108          | 0.9231   |
| No log        | 6.0   | 12   | 0.4413          | 0.8462   |
| No log        | 7.0   | 14   | 0.3947          | 0.8462   |
| No log        | 8.0   | 16   | 0.3568          | 0.9231   |
| No log        | 9.0   | 18   | 0.3297          | 0.9231   |
| 0.4923        | 10.0  | 20   | 0.3110          | 0.9231   |
| 0.4923        | 11.0  | 22   | 0.2988          | 0.9231   |
| 0.4923        | 12.0  | 24   | 0.2836          | 0.9231   |
| 0.4923        | 13.0  | 26   | 0.2702          | 0.9231   |
| 0.4923        | 14.0  | 28   | 0.2636          | 0.9231   |
| 0.4923        | 15.0  | 30   | 0.2615          | 0.9231   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

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