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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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5809
- Accuracy: 0.45

## 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: 16
- seed: 42
- gradient_accumulation_steps: 2
- 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: cosine
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.0715        | 1.0   | 10   | 2.0701          | 0.1313   |
| 2.0623        | 2.0   | 20   | 2.0531          | 0.2      |
| 2.0302        | 3.0   | 30   | 2.0127          | 0.25     |
| 1.9632        | 4.0   | 40   | 1.9530          | 0.2812   |
| 1.8736        | 5.0   | 50   | 1.8625          | 0.325    |
| 1.7788        | 6.0   | 60   | 1.7627          | 0.3625   |
| 1.677         | 7.0   | 70   | 1.7067          | 0.3625   |
| 1.5986        | 8.0   | 80   | 1.6461          | 0.4313   |
| 1.5581        | 9.0   | 90   | 1.6029          | 0.45     |
| 1.5082        | 10.0  | 100  | 1.6011          | 0.4188   |
| 1.4822        | 11.0  | 110  | 1.5765          | 0.4625   |
| 1.4599        | 12.0  | 120  | 1.5717          | 0.4562   |
| 1.451         | 13.0  | 130  | 1.5575          | 0.4313   |
| 1.446         | 14.0  | 140  | 1.5642          | 0.4125   |
| 1.4422        | 15.0  | 150  | 1.5705          | 0.4437   |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Tokenizers 0.21.0

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