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vit-skin-demo-v4
sharren/vit-skin-demo-v4
vit-skin-demo-v4 is a image classification model from sharren. 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
- vit
- Access
- Public
- Created
- Feb 27, 2024
- Updated
- Feb 27, 2024
- SHA
- 4c150b74
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. -->
vit-skin-demo-v4
This model is a fine-tuned version of google/vit-base-patch16-224 on the skin-cancer dataset. It achieves the following results on the evaluation set:
- Loss: 0.5370
- Accuracy: 0.8352
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5373 | 1.0 | 321 | 0.6221 | 0.8034 |
| 0.2539 | 2.0 | 642 | 0.5164 | 0.8371 |
| 0.3277 | 3.0 | 963 | 0.5526 | 0.8408 |
| 0.2998 | 4.0 | 1284 | 0.5685 | 0.8315 |
| 0.0924 | 5.0 | 1605 | 0.5767 | 0.8414 |
| 0.0877 | 6.0 | 1926 | 0.6067 | 0.8564 |
| 0.1197 | 7.0 | 2247 | 0.6659 | 0.8683 |
| 0.046 | 8.0 | 2568 | 0.6573 | 0.8652 |
| 0.0581 | 9.0 | 2889 | 0.6949 | 0.8652 |
| 0.0021 | 10.0 | 3210 | 0.7187 | 0.8720 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Feb 27, 2024
- Updated
- Feb 27, 2024