swin-tiny-patch4-window7-224-finetuned-leukemia-08-2024.v1.2
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.8305
- Accuracy: 0.7025
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: 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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3704 | 0.9984 | 312 | 0.7881 | 0.6388 |
| 0.2726 | 2.0 | 625 | 0.8305 | 0.7025 |
| 0.2103 | 2.9952 | 936 | 0.8708 | 0.692 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for DouglasBraga/swin-tiny-patch4-window7-224-finetuned-leukemia-08-2024.v1.2
Base model
microsoft/swin-tiny-patch4-window7-224