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vit-brain-tumor
Tharsana/vit-brain-tumor
vit-brain-tumor is a image classification model from Tharsana. 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
- May 18, 2025
- Updated
- May 23, 2025
- SHA
- cd2cf921
Base models
Datasets
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-brain-tumor
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the custom/brain-tumor dataset. It achieves the following results on the evaluation set:
- Loss: 0.4552
- Accuracy: 0.8571
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6298 | 1.0 | 1478 | 0.6281 | 0.7495 |
| 0.5911 | 2.0 | 2956 | 0.5900 | 0.7920 |
| 0.5705 | 3.0 | 4434 | 0.5593 | 0.8103 |
| 0.5091 | 4.0 | 5912 | 0.5358 | 0.8237 |
| 0.5124 | 5.0 | 7390 | 0.5169 | 0.8343 |
| 0.4631 | 6.0 | 8868 | 0.5029 | 0.8467 |
| 0.4834 | 7.0 | 10346 | 0.4907 | 0.8515 |
| 0.4724 | 8.0 | 11824 | 0.4804 | 0.8541 |
| 0.4702 | 9.0 | 13302 | 0.4715 | 0.8549 |
| 0.4162 | 10.0 | 14780 | 0.4653 | 0.8570 |
| 0.4664 | 11.0 | 16258 | 0.4603 | 0.8602 |
| 0.469 | 12.0 | 17736 | 0.4565 | 0.8610 |
| 0.4299 | 13.0 | 19214 | 0.4539 | 0.8621 |
| 0.4191 | 14.0 | 20692 | 0.4522 | 0.8621 |
| 0.4652 | 15.0 | 22170 | 0.4517 | 0.8623 |
Framework versions
- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- May 18, 2025
- Updated
- May 23, 2025