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# swin-tiny-patch4-window7-224-category-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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1410
- Accuracy: 0.6445

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.89          | 0.9948 | 96   | 1.5075          | 0.5441   |
| 1.6059        | 2.0    | 193  | 1.3103          | 0.5983   |
| 1.4844        | 2.9948 | 289  | 1.2595          | 0.6107   |
| 1.4392        | 4.0    | 386  | 1.2414          | 0.6152   |
| 1.3431        | 4.9948 | 482  | 1.1954          | 0.6285   |
| 1.2897        | 6.0    | 579  | 1.1611          | 0.6384   |
| 1.2222        | 6.9948 | 675  | 1.1575          | 0.6417   |
| 1.212         | 8.0    | 772  | 1.1474          | 0.6421   |
| 1.2087        | 8.9948 | 868  | 1.1410          | 0.6445   |
| 1.1897        | 9.9482 | 960  | 1.1434          | 0.6432   |


### Framework versions

- Transformers 4.41.2
- Pytorch 1.13.1+cu117
- Datasets 2.19.2
- Tokenizers 0.19.1

automobiles beauty_and_wellness books_stationary business___professional_services education entertainment food___beverages fresh_products fuel grocery_general_store home_services home_utilities liquor_alcohol medical_health_care office_complex others_miscellaneous retail_outlets supermarket travels_transport___hospitality wholesaler_distributor_manufacturer_godown