metadata
license: apache-2.0
language:
- en
metrics:
- accuracy
pipeline_tag: image-classification
tags:
- medical
- biology
library_name: timm
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