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# convnextv2-large-1k-224-finetuned-BreastCancer-Classification-BreakHis-AH-60-20-20

This model is a fine-tuned version of [facebook/convnextv2-large-1k-224](https://huggingface.co/facebook/convnextv2-large-1k-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0353
- Accuracy: 0.9901

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- 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: 0.9
- num_epochs: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5207        | 1.0   | 199  | 0.4745          | 0.8887   |
| 0.2029        | 2.0   | 398  | 0.2072          | 0.9401   |
| 0.1615        | 3.0   | 597  | 0.1489          | 0.9547   |
| 0.1662        | 4.0   | 796  | 0.1312          | 0.9562   |
| 0.1986        | 5.0   | 995  | 0.1026          | 0.9698   |
| 0.0854        | 6.0   | 1194 | 0.0583          | 0.9802   |
| 0.0538        | 7.0   | 1393 | 0.0568          | 0.9835   |
| 0.0977        | 8.0   | 1592 | 0.0654          | 0.9793   |
| 0.6971        | 9.0   | 1791 | 0.6821          | 0.5450   |
| 0.211         | 10.0  | 1990 | 0.1654          | 0.9326   |
| 0.1775        | 11.0  | 2189 | 0.0859          | 0.9665   |
| 0.0042        | 12.0  | 2388 | 0.0353          | 0.9901   |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3

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