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---
library_name: keras
license: mit
metrics:
- accuracy
pipeline_tag: image-classification
---
## Model description
This mode for classify the lung cancer using histopathology images. This is Transformer based model (ViT).
## Intended uses & limitations
More information needed
## Training and evaluation data
Dataset Source: https://www.kaggle.com/datasets/scipygaurav/lung-and-colon-cancer-dataset-splitted
## 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 Acccuracy
<details>
<summary>Confusion Matrix</summary>
</details>
## Model Plot
<details>
<summary>View Model Plot</summary>
</details> |