File size: 1,234 Bytes
a6b9f63 6462084 9e423b9 b8df552 71389d7 b8df552 71389d7 b8df552 7dade38 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 |
---
license: apache-2.0
language:
- en
metrics:
- accuracy
pipeline_tag: image-classification
tags:
- medical
- biology
library_name: keras
datasets:
- rocky93/BraTS_segmentation
---
# 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 |