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aalonso-developer/vit-base-patch16-224-in21k-euroSat
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0212
- Train Accuracy: 0.9992
- Train Top-3-accuracy: 1.0000
- Validation Loss: 0.0613
- Validation Accuracy: 0.9864
- Validation Top-3-accuracy: 0.9998
- Epoch: 4
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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 3590, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
- training_precision: mixed_float16
Training results
| Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
|---|---|---|---|---|---|---|
| 0.4737 | 0.9429 | 0.9862 | 0.1568 | 0.9788 | 0.9993 | 0 |
| 0.0998 | 0.9878 | 0.9996 | 0.1010 | 0.9805 | 0.9993 | 1 |
| 0.0503 | 0.9946 | 0.9999 | 0.0720 | 0.9857 | 0.9998 | 2 |
| 0.0297 | 0.9978 | 1.0000 | 0.0606 | 0.9881 | 0.9995 | 3 |
| 0.0212 | 0.9992 | 1.0000 | 0.0613 | 0.9864 | 0.9998 | 4 |
Framework versions
- Transformers 4.29.1
- TensorFlow 2.11.0
- Datasets 2.12.0
- Tokenizers 0.13.3
