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# swin-tiny-patch4-window7-224_RCC_Classifierv4

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: 2.7347
- 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  |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 0.0296        | 1.0   | 105  | 3.2075          | 0.0 |
| 0.0377        | 2.0   | 210  | 2.6132          | 0.0 |
| 0.0104        | 3.0   | 315  | 2.2246          | 0.0 |
| 0.0177        | 4.0   | 420  | 2.6363          | 0.0 |
| 0.007         | 5.0   | 525  | 2.6364          | 0.0 |
| 0.0082        | 6.0   | 630  | 2.6554          | 0.0 |
| 0.0078        | 7.0   | 735  | 2.6351          | 0.0 |
| 0.0015        | 8.0   | 840  | 2.6925          | 0.0 |
| 0.0073        | 9.0   | 945  | 2.7134          | 0.0 |
| 0.0018        | 10.0  | 1050 | 2.7347          | 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