
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# Psoriasis-500-100aug-224-swin-large

This model is a fine-tuned version of [microsoft/swin-large-patch4-window7-224](https://huggingface.co/microsoft/swin-large-patch4-window7-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7503
- Accuracy: 0.8454

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.4942        | 0.9973 | 92   | 0.6791          | 0.7825   |
| 0.2458        | 1.9946 | 184  | 0.6565          | 0.8087   |
| 0.0935        | 2.9919 | 276  | 0.6838          | 0.8140   |
| 0.056         | 4.0    | 369  | 0.8758          | 0.7913   |
| 0.0267        | 4.9973 | 461  | 0.7926          | 0.8245   |
| 0.0074        | 5.9946 | 553  | 0.7328          | 0.8437   |
| 0.0056        | 6.9919 | 645  | 0.7332          | 0.8480   |
| 0.0019        | 8.0    | 738  | 0.7667          | 0.8524   |
| 0.0013        | 8.9973 | 830  | 0.7548          | 0.8437   |
| 0.0006        | 9.9729 | 920  | 0.7503          | 0.8454   |

# Classification Report

| Class               | Precision (%) | Recall (%) | F1-Score (%) | Support |
|---------------------|---------------|------------|--------------|---------|
| Abnormal            | 68            | 81         | 74           | 108     |
| Erythrodermic       | 94            | 76         | 84           | 100     |
| Guttate             | 92            | 87         | 89           | 114     |
| Inverse             | 92            | 93         | 92           | 108     |
| Nail                | 86            | 84         | 85           | 99      |
| Normal              | 85            | 87         | 86           | 82      |
| Not Define          | 99            | 99         | 99           | 92      |
| Palm Soles          | 79            | 80         | 80           | 102     |
| Plaque              | 88            | 75         | 81           | 84      |
| Psoriatic Arthritis | 83            | 82         | 83           | 104     |
| Pustular            | 77            | 84         | 80           | 112     |
| Scalp               | 88            | 94         | 91           | 80      |
| **Accuracy**        |               |            | **85**       | 1185    |
| **Macro Avg**       | **86**        | **85**     | **85**       | 1185    |
| **Weighted Avg**    | **86**        | **85**     | **85**       | 1185    |

### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1

abnormal erythrodermic guttate inverse nail normal not define palm soles plaque psoriatic arthritis pustular scalp