|
--- |
|
license: apache-2.0 |
|
base_model: microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: swinv2-large-patch4-window12to16-192to256-22kto1k-ft-finetuned-BreastCancer-BreakHis-AH-Shuff-3 |
|
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-large-patch4-window12to16-192to256-22kto1k-ft-finetuned-BreastCancer-BreakHis-AH-Shuff-3 |
|
|
|
This model is a fine-tuned version of [microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft](https://huggingface.co/microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0161 |
|
- Accuracy: 0.9972 |
|
|
|
## 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: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 32 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_ratio: 0.5 |
|
- num_epochs: 12 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.2598 | 1.0 | 199 | 0.1445 | 0.9416 | |
|
| 0.194 | 2.0 | 398 | 0.1121 | 0.9524 | |
|
| 0.0967 | 3.0 | 597 | 0.0504 | 0.9826 | |
|
| 0.0809 | 4.0 | 796 | 0.1604 | 0.9449 | |
|
| 0.1531 | 5.0 | 995 | 0.0673 | 0.9807 | |
|
| 0.0941 | 6.0 | 1194 | 0.0866 | 0.9680 | |
|
| 0.1157 | 7.0 | 1393 | 0.0525 | 0.9844 | |
|
| 0.0684 | 8.0 | 1592 | 0.1004 | 0.9760 | |
|
| 0.0141 | 9.0 | 1791 | 0.0521 | 0.9873 | |
|
| 0.038 | 10.0 | 1990 | 0.0293 | 0.9934 | |
|
| 0.0044 | 11.0 | 2189 | 0.0161 | 0.9972 | |
|
| 0.0006 | 12.0 | 2388 | 0.0197 | 0.9967 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.32.0 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.14.4 |
|
- Tokenizers 0.13.3 |
|
|
