swin-tiny-patch4-window7-224-finetuned-batch8-nocrop
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: 0.0990
- Accuracy: 0.9716
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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 |
|---|---|---|---|---|
| 0.2052 | 0.9949 | 49 | 0.1511 | 0.9602 |
| 0.0852 | 1.9898 | 98 | 0.1787 | 0.9489 |
| 0.0336 | 2.9848 | 147 | 0.0990 | 0.9716 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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Model tree for zabir735/swin-tiny-patch4-window7-224-finetuned-batch8-nocrop
Base model
microsoft/swin-tiny-patch4-window7-224