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---
library_name: keras
license: mit
metrics:
- accuracy
- f1
- precision
tags:
- biology
pipeline_tag: image-classification
---
## Model description
This is Vision Transformer model trained for cancer classification. To make single model to predict any cancer, I trained this ViT model. following are the cancer types that model can predict:
* Brain cancer
* Breast Cancer (histopathology)
* Lung & Colon Cancer (histopathology)
* Cervical Caner
* Kidney Cancer
* Lymphoma
* Oral
## Intended uses & limitations
More information needed
## Training and evaluation data
Confusion matrix and classification report attached below:
<details>
<summary>Confusion Matrix</summary>
</details>
<details>
<summary>Classification Report</summary>
</details>
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters | Value |
| :-- | :-- |
| name | Adam |
| learning_rate | 0.0001 |
| decay | 0.0 |
| beta_1 | 0.9 |
| beta_2 | 0.999 |
| epsilon | 1e-07 |
| amsgrad | False |
| training_precision | float32 |
## Model Plot
<details>
<summary>View Model Plot</summary>
</details> |