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# swin-tiny-patch4-window7-224-lcbsi-wbc

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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0307
- Accuracy: 0.9933

## 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: 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3668        | 0.98  | 27   | 0.6977          | 0.76     |
| 0.217         | 1.98  | 54   | 0.0992          | 0.972    |
| 0.102         | 2.98  | 81   | 0.0573          | 0.9853   |
| 0.0762        | 3.98  | 108  | 0.1003          | 0.976    |
| 0.0456        | 4.98  | 135  | 0.0307          | 0.9933   |
| 0.0219        | 5.98  | 162  | 0.0497          | 0.9907   |
| 0.0106        | 6.98  | 189  | 0.0568          | 0.9867   |
| 0.0112        | 7.98  | 216  | 0.0532          | 0.9907   |
| 0.0067        | 8.98  | 243  | 0.0528          | 0.9907   |
| 0.008         | 9.98  | 270  | 0.0482          | 0.992    |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2

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