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Zynovia/vit-base-patch16-224-in21k-wwwwii
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: 0.8976
- Train Accuracy: 0.8813
- Train Top-3-accuracy: 0.9721
- Validation Loss: 1.6144
- Validation Accuracy: 0.5845
- Validation Top-3-accuracy: 0.7845
- 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': 6e-05, 'decay_steps': 4122, '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': 0.001}}, '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 |
|---|---|---|---|---|---|---|
| 3.4972 | 0.1475 | 0.3067 | 3.0825 | 0.3240 | 0.5178 | 0 |
| 2.7352 | 0.4129 | 0.6613 | 2.4838 | 0.4543 | 0.6930 | 1 |
| 2.0429 | 0.6153 | 0.8315 | 1.9934 | 0.5690 | 0.7550 | 2 |
| 1.4246 | 0.7672 | 0.9166 | 1.6714 | 0.5876 | 0.8016 | 3 |
| 0.8976 | 0.8813 | 0.9721 | 1.6144 | 0.5845 | 0.7845 | 4 |
Framework versions
- Transformers 4.21.2
- TensorFlow 2.8.2
- Datasets 2.4.0
- Tokenizers 0.12.1
