---
license: apache-2.0
base_model: microsoft/swin-tiny-patch4-window7-224
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: swin-tiny-patch4-window7-224-finetuned-RCC
  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. -->

# swin-tiny-patch4-window7-224-finetuned-RCC

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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3565
- Accuracy: 0.9032
- Precision: 0.9032
- Recall: 1.0
- F1: 0.4746
- Auc: 0.5

## 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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- 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 | Accuracy | Precision | Recall | F1     | Auc |
|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:---:|
| No log        | 0.8571 | 3    | 0.3383          | 0.9032   | 0.9032    | 1.0    | 0.4746 | 0.5 |
| No log        | 2.0    | 7    | 0.3654          | 0.9032   | 0.9032    | 1.0    | 0.4746 | 0.5 |
| 0.3833        | 2.8571 | 10   | 0.3422          | 0.9032   | 0.9032    | 1.0    | 0.4746 | 0.5 |
| 0.3833        | 4.0    | 14   | 0.3556          | 0.9032   | 0.9032    | 1.0    | 0.4746 | 0.5 |
| 0.3833        | 4.8571 | 17   | 0.3425          | 0.9032   | 0.9032    | 1.0    | 0.4746 | 0.5 |
| 0.2492        | 6.0    | 21   | 0.3401          | 0.9032   | 0.9032    | 1.0    | 0.4746 | 0.5 |
| 0.2492        | 6.8571 | 24   | 0.3543          | 0.9032   | 0.9032    | 1.0    | 0.4746 | 0.5 |
| 0.2492        | 8.0    | 28   | 0.3572          | 0.9032   | 0.9032    | 1.0    | 0.4746 | 0.5 |
| 0.2304        | 8.5714 | 30   | 0.3565          | 0.9032   | 0.9032    | 1.0    | 0.4746 | 0.5 |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.0.0+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1