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# image_classification

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: 1.5032
- Accuracy: 0.5375

## 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.0207        | 1.0   | 10   | 1.3284          | 0.4875   |
| 0.9015        | 2.0   | 20   | 1.2407          | 0.5687   |
| 0.7775        | 3.0   | 30   | 1.3203          | 0.55     |
| 0.649         | 4.0   | 40   | 1.2159          | 0.5312   |
| 0.5012        | 5.0   | 50   | 1.4273          | 0.5      |
| 0.546         | 6.0   | 60   | 1.3676          | 0.5      |
| 0.4387        | 7.0   | 70   | 1.4644          | 0.5062   |
| 0.3772        | 8.0   | 80   | 1.3247          | 0.5563   |
| 0.3367        | 9.0   | 90   | 1.5443          | 0.5125   |
| 0.3075        | 10.0  | 100  | 1.3807          | 0.575    |
| 0.3138        | 11.0  | 110  | 1.4366          | 0.5188   |
| 0.2298        | 12.0  | 120  | 1.5350          | 0.4938   |
| 0.2454        | 13.0  | 130  | 1.4485          | 0.5312   |
| 0.2273        | 14.0  | 140  | 1.5771          | 0.475    |
| 0.187         | 15.0  | 150  | 1.4757          | 0.5312   |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0

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