swin-tiny-patch4-window7-224-finetuned-eurosat
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: 0.2386
- Accuracy: 0.9063
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: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 3
Training results
| Training Loss |
Epoch |
Step |
Validation Loss |
Accuracy |
| 0.6695 |
1.0 |
27 |
0.4013 |
0.8470 |
| 0.3488 |
2.0 |
54 |
0.2573 |
0.9051 |
| 0.3074 |
3.0 |
81 |
0.2386 |
0.9063 |
Framework versions
- Transformers 4.57.0
- Pytorch 2.8.0
- Datasets 3.6.0
- Tokenizers 0.22.1
