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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: 1.5394
- Accuracy: 0.4813

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use 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: 40

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 8.2876        | 1.0   | 10   | 2.0733          | 0.1375   |
| 8.2701        | 2.0   | 20   | 2.0678          | 0.15     |
| 8.2385        | 3.0   | 30   | 2.0564          | 0.1875   |
| 8.1938        | 4.0   | 40   | 2.0484          | 0.2188   |
| 8.1243        | 5.0   | 50   | 2.0263          | 0.2437   |
| 8.043         | 6.0   | 60   | 2.0065          | 0.2812   |
| 7.9327        | 7.0   | 70   | 1.9940          | 0.275    |
| 7.7842        | 8.0   | 80   | 1.9588          | 0.3438   |
| 7.6389        | 9.0   | 90   | 1.9299          | 0.3125   |
| 7.4825        | 10.0  | 100  | 1.8830          | 0.4      |
| 7.3337        | 11.0  | 110  | 1.8519          | 0.35     |
| 7.1512        | 12.0  | 120  | 1.8171          | 0.4188   |
| 7.0169        | 13.0  | 130  | 1.7624          | 0.4188   |
| 6.8618        | 14.0  | 140  | 1.7341          | 0.45     |
| 6.7244        | 15.0  | 150  | 1.6903          | 0.45     |
| 6.5857        | 16.0  | 160  | 1.6709          | 0.4688   |
| 6.4774        | 17.0  | 170  | 1.6624          | 0.425    |
| 6.3616        | 18.0  | 180  | 1.6314          | 0.4437   |
| 6.2635        | 19.0  | 190  | 1.6173          | 0.4437   |
| 6.1831        | 20.0  | 200  | 1.5929          | 0.4938   |
| 6.1224        | 21.0  | 210  | 1.5841          | 0.45     |
| 6.0711        | 22.0  | 220  | 1.5622          | 0.4625   |
| 5.9769        | 23.0  | 230  | 1.5617          | 0.5062   |
| 5.9176        | 24.0  | 240  | 1.5491          | 0.4813   |
| 5.8776        | 25.0  | 250  | 1.5262          | 0.5687   |
| 5.8347        | 26.0  | 260  | 1.5287          | 0.4875   |
| 5.781         | 27.0  | 270  | 1.5284          | 0.4625   |
| 5.7451        | 28.0  | 280  | 1.5018          | 0.4875   |
| 5.6745        | 29.0  | 290  | 1.5057          | 0.4875   |
| 5.6253        | 30.0  | 300  | 1.5090          | 0.4938   |
| 5.6111        | 31.0  | 310  | 1.5275          | 0.4688   |
| 5.5742        | 32.0  | 320  | 1.5008          | 0.525    |
| 5.5516        | 33.0  | 330  | 1.4795          | 0.5188   |
| 5.4796        | 34.0  | 340  | 1.4834          | 0.5062   |
| 5.4958        | 35.0  | 350  | 1.4916          | 0.5125   |
| 5.4824        | 36.0  | 360  | 1.4925          | 0.4938   |
| 5.4659        | 37.0  | 370  | 1.4847          | 0.5062   |
| 5.4715        | 38.0  | 380  | 1.4670          | 0.5      |
| 5.4735        | 39.0  | 390  | 1.4733          | 0.525    |
| 5.4789        | 40.0  | 400  | 1.4881          | 0.4813   |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Tokenizers 0.21.0

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