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# swin-tiny-patch4-window7-224-finetuned-azure-poc-img-classification

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 imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2119
- Accuracy: 0.9122

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5888        | 1.0   | 41   | 0.4436          | 0.8348   |
| 0.3118        | 2.0   | 82   | 0.3028          | 0.8692   |
| 0.2284        | 3.0   | 123  | 0.2879          | 0.8795   |
| 0.203         | 4.0   | 164  | 0.2368          | 0.8950   |
| 0.2254        | 5.0   | 205  | 0.2276          | 0.8985   |
| 0.1976        | 6.0   | 246  | 0.2339          | 0.8967   |
| 0.1603        | 7.0   | 287  | 0.2191          | 0.9036   |
| 0.1556        | 8.0   | 328  | 0.2249          | 0.9036   |
| 0.1488        | 9.0   | 369  | 0.2018          | 0.9071   |
| 0.158         | 10.0  | 410  | 0.2119          | 0.9122   |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3

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