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brain_tumor_detection
shumailabatool/brain_tumor_detection
brain_tumor_detection is a image classification model from shumailabatool. Use it when you need a label for an image. It is set up for keras. The card lists the license as apache-2.0.
This model is a fine-tuned version on the braTS20 dataset. It achieves the following results on the evaluation set: - Loss: 0.0272 - Accuracy: 0.9912
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At a glance
- Task
- Image Classification
- Library
- keras
- License
- apache-2.0
- Access
- Public
- Created
- Jul 11, 2024
- Updated
- Jul 12, 2024
- SHA
- 64620848
Datasets
Model card
From the Hugging Face model README
Brain_Tumor_Classification
This model is a fine-tuned version on the braTS20 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0272
- Accuracy: 0.9912
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: 0.000001
- min_lr=0.000001
- num_epochs: 5
- optimizer: Adam and epsilon=1e-06
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3208 | 1 | 355 | 0.3162 | 0.9461 |
| 0.0392 | 2 | 268 | 0.1177 | 0.9893 |
| 0.0326 | 3 | 267 | 0.2596 | 0.9899 |
| 0.0351 | 4 | 267 | 0.3398 | 0.9888 |
| 0.0272 | 5 | 266 | 0.2636 | 0.9912 |
Framework
- Keras
- Pytorch
- TensorFlow
- Datasets
- Task
- Image Classification
- Library
- keras
- License
- apache-2.0
- Languages
- en
- Created
- Jul 11, 2024
- Updated
- Jul 12, 2024