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# swinv2-base

This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window12-192-22k](https://huggingface.co/microsoft/swinv2-base-patch4-window12-192-22k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1570
- Accuracy: 0.9577

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1001        | 1.0   | 240  | 1.0510          | 0.5701   |
| 0.7709        | 2.0   | 480  | 0.7516          | 0.7091   |
| 0.5077        | 3.0   | 720  | 0.5670          | 0.7953   |
| 0.2908        | 4.0   | 960  | 0.3946          | 0.8650   |
| 0.1676        | 5.0   | 1200 | 0.2796          | 0.9038   |
| 0.117         | 6.0   | 1440 | 0.2322          | 0.9275   |
| 0.0634        | 7.0   | 1680 | 0.2433          | 0.9306   |
| 0.0425        | 8.0   | 1920 | 0.1843          | 0.9490   |
| 0.0252        | 9.0   | 2160 | 0.1653          | 0.9543   |
| 0.0147        | 10.0  | 2400 | 0.1570          | 0.9577   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Tokenizers 0.19.1

label_0 label_1 label_2 label_3 label_4 label_5