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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: 0.3382
- Accuracy: 0.8562

## 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: 128
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 512
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 5.3507        | 1.0   | 14   | 0.8673          | 0.6557   |
| 3.1899        | 2.0   | 28   | 0.4795          | 0.8184   |
| 1.5944        | 3.0   | 42   | 0.3992          | 0.8436   |
| 1.3952        | 4.0   | 56   | 0.3741          | 0.8499   |
| 1.1452        | 5.0   | 70   | 0.3601          | 0.8575   |
| 1.0478        | 6.0   | 84   | 0.3470          | 0.8562   |
| 1.0049        | 7.0   | 98   | 0.3360          | 0.8562   |
| 0.9361        | 8.0   | 112  | 0.3318          | 0.8525   |
| 0.9477        | 9.0   | 126  | 0.3297          | 0.8512   |
| 0.8568        | 10.0  | 140  | 0.3382          | 0.8562   |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0

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