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# 2025-02-05-15-01-55-swin-base-patch4-window7-224

This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-patch4-window7-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0147
- Precision: 0.9953
- Recall: 0.9951
- F1: 0.9951
- Accuracy: 0.9947
- Top1 Accuracy: 0.9951
- Error Rate: 0.0053

## 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: 0.0002
- train_batch_size: 32
- eval_batch_size: 32
- seed: 3407
- 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 | Precision | Recall | F1     | Accuracy | Top1 Accuracy | Error Rate |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|:-------------:|:----------:|
| 0.8621        | 1.0   | 103  | 0.2049          | 0.9405    | 0.9220 | 0.9233 | 0.9284   | 0.9220        | 0.0716     |
| 0.3112        | 2.0   | 206  | 0.1944          | 0.9579    | 0.9537 | 0.9511 | 0.9419   | 0.9537        | 0.0581     |
| 0.1598        | 3.0   | 309  | 0.1673          | 0.9635    | 0.9610 | 0.9610 | 0.9627   | 0.9610        | 0.0373     |
| 0.1019        | 4.0   | 412  | 0.0472          | 0.9856    | 0.9854 | 0.9853 | 0.9858   | 0.9854        | 0.0142     |
| 0.0779        | 5.0   | 515  | 0.3869          | 0.9388    | 0.9268 | 0.9246 | 0.9236   | 0.9268        | 0.0764     |
| 0.0519        | 6.0   | 618  | 0.0224          | 0.9858    | 0.9854 | 0.9852 | 0.9852   | 0.9854        | 0.0148     |
| 0.0477        | 7.0   | 721  | 0.0402          | 0.9887    | 0.9878 | 0.9879 | 0.9885   | 0.9878        | 0.0115     |
| 0.0086        | 8.0   | 824  | 0.0147          | 0.9953    | 0.9951 | 0.9951 | 0.9947   | 0.9951        | 0.0053     |
| 0.0052        | 9.0   | 927  | 0.0177          | 0.9953    | 0.9951 | 0.9951 | 0.9947   | 0.9951        | 0.0053     |
| 0.0022        | 10.0  | 1030 | 0.0180          | 0.9953    | 0.9951 | 0.9951 | 0.9947   | 0.9951        | 0.0053     |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.20.3

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