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# swin-base-patch4-window7-224-in22k-Kontur-competition-1.4K

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: 0.0062

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.84  | 4    | 0.5153          |
| No log        | 1.89  | 9    | 0.1425          |
| 0.4963        | 2.95  | 14   | 0.0326          |
| 0.4963        | 4.0   | 19   | 0.0062          |
| 0.0546        | 4.84  | 23   | 0.1113          |
| 0.0546        | 5.89  | 28   | 0.0194          |
| 0.0216        | 6.95  | 33   | 0.0069          |
| 0.0216        | 8.0   | 38   | 0.0099          |
| 0.0203        | 8.42  | 40   | 0.0126          |


### Framework versions

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

ai real