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# swin-base-patch4-window7-224-in22k-finetuned-batch8-22k

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: 0.0984
- Accuracy: 0.9886

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.3752        | 0.9697 | 24   | 0.1119          | 0.9659   |
| 0.2189        | 1.9798 | 49   | 0.1690          | 0.9375   |
| 0.0343        | 2.9899 | 74   | 0.0886          | 0.9830   |
| 0.009         | 4.0    | 99   | 0.0969          | 0.9830   |
| 0.0015        | 4.8485 | 120  | 0.0984          | 0.9886   |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1

bad seed good seed