|
|
--- |
|
|
base_model: swinv2 |
|
|
tags: |
|
|
- image-classification |
|
|
- breast cancer |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- accuracy |
|
|
- precision |
|
|
- recall |
|
|
- f1 |
|
|
model-index: |
|
|
- name: swinV2-Mammmogram-V1 |
|
|
results: [] |
|
|
--- |
|
|
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
|
|
# swinV2-Mammmogram-V1 |
|
|
|
|
|
This model is a fine-tuned version of [swinv2](https://huggingface.co/swinv2) on the Mammogram V1 dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.1434 |
|
|
- Accuracy: 0.9524 |
|
|
- Precision: 0.9751 |
|
|
- Recall: 0.9524 |
|
|
- F1: 0.9630 |
|
|
|
|
|
## 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: 5e-05 |
|
|
- train_batch_size: 32 |
|
|
- eval_batch_size: 32 |
|
|
- seed: 42 |
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
|
- lr_scheduler_type: linear |
|
|
- num_epochs: 5 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
|
|
| 0.4455 | 1.0 | 1112 | 0.1385 | 0.9782 | 0.9739 | 0.9782 | 0.9760 | |
|
|
| 0.3974 | 2.0 | 2224 | 0.1974 | 0.9524 | 0.9749 | 0.9524 | 0.9630 | |
|
|
| 0.3712 | 3.0 | 3336 | 0.1386 | 0.9735 | 0.9748 | 0.9735 | 0.9741 | |
|
|
| 0.2748 | 4.0 | 4448 | 0.1597 | 0.9479 | 0.9752 | 0.9479 | 0.9607 | |
|
|
| 0.2603 | 5.0 | 5560 | 0.1434 | 0.9524 | 0.9751 | 0.9524 | 0.9630 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.42.4 |
|
|
- Pytorch 2.3.1+cu121 |
|
|
- Datasets 2.21.0 |
|
|
- Tokenizers 0.19.1 |
|
|
|
