swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of Lpdsc/swin-tiny-patch4-window7-224-finetuned-eurosat on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.1318
- Accuracy: 0.9661
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.94 | 4 | 0.1318 | 0.9661 |
| No log | 1.88 | 8 | 0.0986 | 0.9661 |
| 0.1962 | 2.82 | 12 | 0.0766 | 0.9661 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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