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Imene/vit-base-patch16-224-in21k-Wr
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: 0.3104
- Train Accuracy: 0.9956
- Train Top-3-accuracy: 0.9981
- Validation Loss: 1.6041
- Validation Accuracy: 0.5770
- Validation Top-3-accuracy: 0.8035
- Epoch: 7
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': 0.0001, 'decay_steps': 1500, '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 |
|---|---|---|---|---|---|---|
| 3.8300 | 0.0583 | 0.1381 | 3.6801 | 0.0951 | 0.2203 | 0 |
| 3.2915 | 0.2418 | 0.4557 | 3.0277 | 0.3004 | 0.5507 | 1 |
| 2.6535 | 0.4438 | 0.7106 | 2.5932 | 0.3780 | 0.6546 | 2 |
| 2.0541 | 0.6308 | 0.8575 | 2.2998 | 0.4556 | 0.6871 | 3 |
| 1.4622 | 0.7924 | 0.9496 | 2.0054 | 0.5056 | 0.7234 | 4 |
| 0.9098 | 0.9201 | 0.9887 | 1.8079 | 0.5695 | 0.7785 | 5 |
| 0.5220 | 0.9821 | 0.9969 | 1.6444 | 0.5845 | 0.7922 | 6 |
| 0.3104 | 0.9956 | 0.9981 | 1.6041 | 0.5770 | 0.8035 | 7 |
Framework versions
- Transformers 4.21.3
- TensorFlow 2.8.2
- Datasets 2.4.0
- Tokenizers 0.12.1
