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swin-small-patch4-window7-224-finetuned-eurosat
Sagittarius0712/swin-small-patch4-window7-224-finetuned-eurosat
swin-small-patch4-window7-224-finetuned-eurosat is a image classification model from Sagittarius0712. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Model card
From the Hugging Face model README
<!-- 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-small-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of microsoft/swin-small-patch4-window7-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.1298
- Accuracy: 0.9631
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
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1372 | 1.0 | 77 | 0.1271 | 0.9631 |
| 0.183 | 2.0 | 154 | 0.1332 | 0.9594 |
| 0.1602 | 3.0 | 231 | 0.1384 | 0.9594 |
| 0.1693 | 4.0 | 308 | 0.1307 | 0.9594 |
| 0.2016 | 5.0 | 385 | 0.1266 | 0.9631 |
| 0.1148 | 6.0 | 462 | 0.1298 | 0.9631 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Image Classification
- Library
- transformers
- Type
- swin
- License
- apache-2.0
- Created
- May 8, 2025
- Updated
- May 12, 2025