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# ibnuls

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: 1.7402
- Accuracy: 0.3937

## 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: 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   | 5    | 2.0705          | 0.1125   |
| 2.0592        | 2.0   | 10   | 2.0489          | 0.1375   |
| 2.0592        | 3.0   | 15   | 2.0209          | 0.1938   |
| 1.956         | 4.0   | 20   | 1.9848          | 0.2437   |
| 1.956         | 5.0   | 25   | 1.9454          | 0.2875   |
| 1.8228        | 6.0   | 30   | 1.9015          | 0.3187   |
| 1.8228        | 7.0   | 35   | 1.8645          | 0.35     |
| 1.6978        | 8.0   | 40   | 1.8305          | 0.3625   |
| 1.6978        | 9.0   | 45   | 1.8024          | 0.3625   |
| 1.5961        | 10.0  | 50   | 1.7789          | 0.3688   |
| 1.5961        | 11.0  | 55   | 1.7616          | 0.375    |
| 1.5232        | 12.0  | 60   | 1.7490          | 0.3812   |
| 1.5232        | 13.0  | 65   | 1.7402          | 0.3937   |
| 1.4781        | 14.0  | 70   | 1.7346          | 0.3937   |
| 1.4781        | 15.0  | 75   | 1.7323          | 0.3937   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1

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