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# swin-tiny-patch4-window7-224-finetuned-IDRiD

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: 0.8534
- Accuracy: 0.7143

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 3    | 1.5419          | 0.3810   |
| No log        | 2.0   | 6    | 1.3336          | 0.4048   |
| No log        | 3.0   | 9    | 1.2311          | 0.5238   |
| 1.4831        | 4.0   | 12   | 1.1594          | 0.5238   |
| 1.4831        | 5.0   | 15   | 1.0889          | 0.5      |
| 1.4831        | 6.0   | 18   | 1.0743          | 0.5      |
| 1.1593        | 7.0   | 21   | 1.0466          | 0.5476   |
| 1.1593        | 8.0   | 24   | 1.0160          | 0.5714   |
| 1.1593        | 9.0   | 27   | 0.9660          | 0.6190   |
| 1.008         | 10.0  | 30   | 0.9390          | 0.6190   |
| 1.008         | 11.0  | 33   | 0.9158          | 0.5952   |
| 1.008         | 12.0  | 36   | 0.8734          | 0.6190   |
| 1.008         | 13.0  | 39   | 0.8715          | 0.6667   |
| 0.8963        | 14.0  | 42   | 0.8261          | 0.6667   |
| 0.8963        | 15.0  | 45   | 0.8683          | 0.6190   |
| 0.8963        | 16.0  | 48   | 0.8772          | 0.6429   |
| 0.8404        | 17.0  | 51   | 0.8729          | 0.6905   |
| 0.8404        | 18.0  | 54   | 0.8571          | 0.7143   |
| 0.8404        | 19.0  | 57   | 0.8546          | 0.7143   |
| 0.8263        | 20.0  | 60   | 0.8534          | 0.7143   |


### Framework versions

- Transformers 4.30.0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.13.3

a_nodr b_milddr c_moderatedr d_severedr e_prodr