YKXBCi/vit-base-patch16-224-in21k-ucSat
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: 1.3216
- Train Accuracy: 0.9960
- Train Top-3-accuracy: 1.0
- Validation Loss: 1.3683
- Validation Accuracy: 0.9688
- Validation Top-3-accuracy: 0.9931
- 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': 275, '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 |
|---|---|---|---|---|---|---|
| 2.7376 | 0.5375 | 0.7284 | 2.3789 | 0.8958 | 0.9757 | 0 |
| 2.1030 | 0.9449 | 0.9972 | 1.8664 | 0.9479 | 0.9896 | 1 |
| 1.6719 | 0.9812 | 1.0 | 1.5763 | 0.9618 | 0.9931 | 2 |
| 1.4357 | 0.9926 | 1.0 | 1.4201 | 0.9688 | 0.9931 | 3 |
| 1.3216 | 0.9960 | 1.0 | 1.3683 | 0.9688 | 0.9931 | 4 |
Framework versions
- Transformers 4.18.0
- TensorFlow 2.6.0
- Datasets 2.1.0
- Tokenizers 0.12.1
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