swin-base-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9966
- Accuracy: 0.5424
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 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 |
|---|---|---|---|---|
| 1.2202 | 1.0 | 20 | 1.8822 | 0.4170 |
| 0.9596 | 2.0 | 40 | 1.1364 | 0.4391 |
| 0.8855 | 3.0 | 60 | 0.9966 | 0.5424 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1