<!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. -->
csiztom/vit-base-patch16-224-in21k-street-view
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: 3.3425
- Train Accuracy: 0.3008
- Train Top-3-accuracy: 0.5072
- Validation Loss: 3.8645
- Validation Accuracy: 0.1618
- Validation Top-3-accuracy: 0.2830
- Epoch: 3
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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 6e-05, 'decay_steps': 5250, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
|---|---|---|---|---|---|---|
| 4.6754 | 0.0403 | 0.0977 | 4.4868 | 0.0723 | 0.1510 | 0 |
| 4.2813 | 0.1050 | 0.2225 | 4.2261 | 0.0996 | 0.2077 | 1 |
| 3.8606 | 0.1848 | 0.3483 | 4.0354 | 0.1300 | 0.2513 | 2 |
| 3.3425 | 0.3008 | 0.5072 | 3.8645 | 0.1618 | 0.2830 | 3 |
Framework versions
- Transformers 4.34.1
- TensorFlow 2.14.0
- Datasets 2.14.6
- Tokenizers 0.14.1