Deexit/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: 1.9176
  • Validation Loss: 3.2903
  • Validation Accuracy: 0.0
  • Epoch: 13

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
2.7734 2.7408 0.0 0
2.4056 2.7463 0.0 1
2.1880 2.7762 0.0 2
2.0477 2.8285 0.0 3
2.1556 2.8884 0.0 4
2.0269 2.9569 0.0 5
1.7258 3.0337 0.0 6
2.3555 3.1071 0.0 7
1.8657 3.1494 0.0 8
1.8121 3.1848 0.0 9
1.9192 3.2109 0.0 10
1.9925 3.2335 0.0 11
2.0157 3.2654 0.0 12
1.9176 3.2903 0.0 13

Framework versions

  • Transformers 4.31.0
  • TensorFlow 2.13.0
  • Datasets 2.14.3
  • Tokenizers 0.13.3
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