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vit-augment-v1
sharren/vit-augment-v1
vit-augment-v1 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 25, 2024
- Updated
- Feb 25, 2024
- SHA
- b31b9ac5
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-augment-v1
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the SkinCancerClassification dataset. It achieves the following results on the evaluation set:
- Loss: 0.4269
- Accuracy: 0.8582
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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6898 | 0.31 | 100 | 0.7782 | 0.7299 |
| 0.6945 | 0.62 | 200 | 0.7745 | 0.7459 |
| 0.8574 | 0.93 | 300 | 0.6510 | 0.7683 |
| 0.6146 | 1.25 | 400 | 0.6806 | 0.7594 |
| 0.5394 | 1.56 | 500 | 0.6110 | 0.7963 |
| 0.4653 | 1.87 | 600 | 0.6123 | 0.7903 |
| 0.4021 | 2.18 | 700 | 0.5375 | 0.8088 |
| 0.4112 | 2.49 | 800 | 0.5154 | 0.8088 |
| 0.4165 | 2.8 | 900 | 0.4868 | 0.8313 |
| 0.235 | 3.12 | 1000 | 0.4463 | 0.8437 |
| 0.1638 | 3.43 | 1100 | 0.4490 | 0.8527 |
| 0.3126 | 3.74 | 1200 | 0.4269 | 0.8582 |
Framework versions
- Transformers 4.38.1
- 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 25, 2024
- Updated
- Feb 25, 2024