---
library_name: transformers
license: apache-2.0
base_model: microsoft/swin-base-patch4-window7-224
tags:
- generated_from_trainer
datasets:
- kedimestan/RetinoblastomaHealthyImageDataset
metrics:
- accuracy
model-index:
- name: swin-base-patch4-window7-224
  results:
  - task:
      name: Image Classification
      type: image-classification
    dataset:
      name: imagefolder
      type: imagefolder
      config: default
      split: train
      args: default
    metrics:
    - name: Accuracy
      type: accuracy
      value: 1
---

<!-- 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-base-patch4-window7-224

Bu model, [microsoft/swin-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-patch4-window7-224) modelin retinoblastoma veri seti için ince ayar yapılmış versiyonudur.
Test veri setindeki sonuçları aşağıdaki gibidir:
- Loss: 0.3809
- Accuracy: 1.0

## Model description

Swin tabanlı bir modeldir. 5e-5 öğrenme oranı ile 10 epoch ile eğitim yapıldı. Optimizasyon için Adam kullanıldı. veri seti %80-%20 olacak şekilde sırasyıla eğitim ve test verisetine bölündü.


The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| No log        | 0.5714 | 1    | 0.8119          | 0.3913   |
| No log        | 1.7143 | 3    | 0.6544          | 0.5217   |
| No log        | 2.8571 | 5    | 0.3809          | 1.0      |
| No log        | 4.0    | 7    | 0.2352          | 1.0      |
| No log        | 4.5714 | 8    | 0.1875          | 1.0      |
| 0.4988        | 5.7143 | 10   | 0.1481          | 1.0      |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1