swin-base-patch4-window7-224
Bu model, 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
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Base model
microsoft/swin-base-patch4-window7-224