swin-tiny-patch4-window7-224-finetuned-alzheimers
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: 0.8319
- Accuracy: 0.5953
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0035 | 0.9778 | 22 | 0.9198 | 0.5594 |
| 0.9062 | 2.0 | 45 | 0.8479 | 0.6094 |
| 0.8726 | 2.9333 | 66 | 0.8319 | 0.5953 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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Model tree for rhlc/swin-tiny-patch4-window7-224-finetuned-alzheimers
Base model
microsoft/swin-tiny-patch4-window7-224