ggergues/swin-tiny-patch4-window7-224-finetuned-eurosat

This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.5115
• Validation Loss: 0.1813
• Validation Accuracy: 0.9437
• Epoch: 2

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:

• optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Validation Loss	Validation Accuracy	Epoch
0.7934	0.2019	0.9333	0
0.5631	0.2128	0.9307	1
0.5115	0.1813	0.9437	2

Framework versions

• Transformers 4.36.2
• TensorFlow 2.15.0
• Datasets 2.16.1
• Tokenizers 0.15.0