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# swin-tiny-patch4-window7-224_RCC_Classifierv3

This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 7.6560
- F1: 0.0

## 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: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1  |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 0.0095        | 1.0   | 118  | 2.6285          | 0.0 |
| 0.0038        | 2.0   | 236  | 5.5074          | 0.0 |
| 0.0001        | 3.0   | 354  | 5.7253          | 0.0 |
| 0.0111        | 4.0   | 472  | 6.6322          | 0.0 |
| 0.003         | 5.0   | 590  | 7.3159          | 0.0 |
| 0.0002        | 6.0   | 708  | 7.8263          | 0.0 |
| 0.0112        | 7.0   | 826  | 7.8469          | 0.0 |
| 0.0021        | 8.0   | 944  | 7.4348          | 0.0 |
| 0.0           | 9.0   | 1062 | 7.6901          | 0.0 |
| 0.0002        | 10.0  | 1180 | 7.6560          | 0.0 |


### Framework versions

- Transformers 4.34.1
- Pytorch 1.12.1
- Datasets 2.14.5
- Tokenizers 0.14.1

clear cell rcc non clear cell