Downloads · 30 days
8
3% of all-time downloads
Psoriasis-Aug-M2-vit-large-patch16-224-in21k
ahmedesmail16/Psoriasis-Aug-M2-vit-large-patch16-224-in21k
Psoriasis-Aug-M2-vit-large-patch16-224-in21k 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. --
All-time downloads
236
Public
Parameters
303M
10.9 GB on disk
Likes
1
Public
Repo makeup
Click a slice to open those files.
.safetensors1.2 GB · 100%
At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- Apr 13, 2024
- Updated
- Apr 13, 2024
- SHA
- 000e9104
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. -->
Psoriasis-Aug-M2-vit-large-patch16-224-in21k
This model is a fine-tuned version of google/vit-large-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0268
- Accuracy: 0.9792
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4421 | 0.99 | 36 | 0.2504 | 0.8958 |
| 0.0968 | 1.99 | 72 | 0.0631 | 0.9583 |
| 0.0321 | 2.98 | 108 | 0.0639 | 0.9792 |
| 0.0065 | 4.0 | 145 | 0.0234 | 1.0 |
| 0.0067 | 4.97 | 180 | 0.0268 | 0.9792 |
Test results
| Classes | precision | recall | f1-score | support |
|---|---|---|---|---|
| Erythromelal | 1.00 | 1.00 | 1.00 | 5 |
| Guttate | 1.00 | 1.00 | 1.00 | 7 |
| Inverse | 1.00 | 1.00 | 1.00 | 4 |
| Nail | 1.00 | 1.00 | 1.00 | 10 |
| Normal | 1.00 | 1.00 | 1.00 | 11 |
| Plaque | 1.00 | 1.00 | 1.00 | 10 |
| Psoriatic Arthritis | 1.00 | 1.00 | 1.00 | 6 |
| Pustular | 1.00 | 1.00 | 1.00 | 6 |
| accuracy | 1.00 | 59 | ||
| macro avg | 1.00 | 1.00 | 1.00 | 59 |
| weighted avg | 1.00 | 1.00 | 1.00 | 59 |
confusion Matrix results
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Apr 13, 2024
- Updated
- Apr 13, 2024