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# swin-base-patch4-window7-224-in22k-Kontur-competition-1.3K

This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224-in22k](https://huggingface.co/microsoft/swin-base-patch4-window7-224-in22k) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0008

## 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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0593        | 0.99  | 55   | 0.0294          |
| 0.0098        | 1.99  | 111  | 0.0315          |
| 0.0066        | 3.0   | 167  | 0.0322          |
| 0.0179        | 4.0   | 223  | 0.0068          |
| 0.0078        | 4.99  | 278  | 0.0033          |
| 0.0015        | 5.99  | 334  | 0.0008          |
| 0.0017        | 7.0   | 390  | 0.0078          |
| 0.0008        | 8.0   | 446  | 0.0027          |
| 0.0019        | 8.99  | 501  | 0.0011          |
| 0.0014        | 9.87  | 550  | 0.0036          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2

ai real