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# 1_M_cards-swinv2-base-patch4-window12to16-192to256-22kto1k-ft-finetuned-v3

This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window12to16-192to256-22kto1k-ft](https://huggingface.co/microsoft/swinv2-base-patch4-window12to16-192to256-22kto1k-ft) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1701
- Accuracy: 0.5118

## 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: 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 |
|:-------------:|:------:|:-----:|:---------------:|:--------:|
| 1.3156        | 0.9995 | 1633  | 1.2976          | 0.4477   |
| 1.2943        | 1.9997 | 3267  | 1.2443          | 0.4668   |
| 1.2411        | 2.9998 | 4901  | 1.2229          | 0.4787   |
| 1.2368        | 4.0    | 6535  | 1.1967          | 0.4901   |
| 1.1973        | 4.9995 | 8168  | 1.1910          | 0.4927   |
| 1.2124        | 5.9997 | 9802  | 1.1811          | 0.4989   |
| 1.1753        | 6.9998 | 11436 | 1.1685          | 0.5062   |
| 1.1554        | 8.0    | 13070 | 1.1681          | 0.5080   |
| 1.1279        | 8.9995 | 14703 | 1.1685          | 0.5100   |
| 1.1121        | 9.9954 | 16330 | 1.1701          | 0.5118   |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.0.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1

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