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# swin-tiny-patch4-window7-224-finetuned-ginger

This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6161
- Accuracy: 0.7112

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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: 12

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 0.2795        | 0.9973  | 275  | 0.8344          | 0.7773   |
| 0.1696        | 1.9982  | 551  | 1.2580          | 0.6245   |
| 0.1425        | 2.9991  | 827  | 1.0643          | 0.5959   |
| 0.1329        | 4.0     | 1103 | 0.8342          | 0.6281   |
| 0.1237        | 4.9973  | 1378 | 1.4786          | 0.6110   |
| 0.0743        | 5.9982  | 1654 | 1.1068          | 0.6283   |
| 0.1083        | 6.9991  | 1930 | 0.8262          | 0.8321   |
| 0.0667        | 8.0     | 2206 | 0.6214          | 0.7564   |
| 0.0743        | 8.9973  | 2481 | 0.7777          | 0.7342   |
| 0.0527        | 9.9982  | 2757 | 0.6794          | 0.6985   |
| 0.076         | 10.9991 | 3033 | 0.7436          | 0.6429   |
| 0.0423        | 11.9674 | 3300 | 0.6161          | 0.7112   |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3

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