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# Garbage-Classification-SWIN-Transformer

This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0440
- Accuracy: 0.9900

## 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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.1969        | 0.9973 | 280  | 0.1740          | 0.9409   |
| 0.1014        | 1.9982 | 561  | 0.0752          | 0.9755   |
| 0.0333        | 2.9991 | 842  | 0.0551          | 0.9824   |
| 0.0332        | 4.0    | 1123 | 0.0526          | 0.9845   |
| 0.0218        | 4.9973 | 1403 | 0.0511          | 0.9866   |
| 0.0086        | 5.9982 | 1684 | 0.0515          | 0.9873   |
| 0.0057        | 6.9991 | 1965 | 0.0462          | 0.9875   |
| 0.0043        | 8.0    | 2246 | 0.0453          | 0.9891   |
| 0.0012        | 8.9973 | 2526 | 0.0460          | 0.9888   |
| 0.0017        | 9.9733 | 2800 | 0.0440          | 0.9900   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1

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