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Train-Augmentation-Psoriasis-Project
ahmedesmail16/Train-Augmentation-Psoriasis-Project
Train-Augmentation-Psoriasis-Project is a image classification model from ahmedesmail16. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- swinv2
- Access
- Public
- Created
- May 19, 2024
- Updated
- May 19, 2024
- SHA
- 19fef6a1
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
Train-Augmentation-Psoriasis-Project
This model is a fine-tuned version of ahmedesmail16/Psoriasis-Project-Aug-M2-swinv2-base-patch4-window12-192-22k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0793
- Accuracy: 0.8182
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 |
|---|---|---|---|---|
| 0.4867 | 0.99 | 93 | 0.8388 | 0.7075 |
| 0.2164 | 2.0 | 187 | 0.8105 | 0.7470 |
| 0.1503 | 2.99 | 280 | 0.8719 | 0.7470 |
| 0.1074 | 4.0 | 374 | 0.8725 | 0.7708 |
| 0.0649 | 4.99 | 467 | 0.8323 | 0.7984 |
| 0.0259 | 6.0 | 561 | 1.2222 | 0.7945 |
| 0.0162 | 6.99 | 654 | 1.0419 | 0.8024 |
| 0.0135 | 8.0 | 748 | 0.9799 | 0.8300 |
| 0.0031 | 8.99 | 841 | 1.1125 | 0.8063 |
| 0.0041 | 9.95 | 930 | 1.0793 | 0.8182 |
Test results
| class | precision | recall | f1-score | support |
|---|---|---|---|---|
| Erythrodermic | 0.75 | 0.86 | 0.80 | 7 |
| Guttate | 0.91 | 0.87 | 0.89 | 23 |
| Inverse | 1.00 | 0.82 | 0.90 | 17 |
| Nail | 0.95 | 0.95 | 0.95 | 20 |
| Normal | 0.95 | 0.80 | 0.87 | 25 |
| Not Define | 1.00 | 1.00 | 1.00 | 29 |
| Palm Soles | 0.83 | 0.90 | 0.86 | 21 |
| Plaque | 0.90 | 0.76 | 0.83 | 25 |
| Psoriatic Arthritis | 0.73 | 1.00 | 0.84 | 8 |
| Pustular | 0.88 | 0.82 | 0.85 | 17 |
| Scalp | 0.87 | 0.83 | 0.85 | 24 |
| UPNormal | 0.82 | 0.94 | 0.87 | 52 |
| accuracy | 0.88 | 268 | ||
| macro avg | 0.88 | 0.88 | 0.88 | 268 |
| weighted avg | 0.89 | 0.88 | 0.88 | 268 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.15.2
- Task
- Image Classification
- Library
- transformers
- Type
- swinv2
- License
- apache-2.0
- Created
- May 19, 2024
- Updated
- May 19, 2024