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Rocketknight1/my_food_classifier
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: 0.1099
- Validation Loss: 0.2439
- Train Accuracy: 0.947
- 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: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 20000, '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}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Accuracy | Epoch |
|---|---|---|---|
| 2.5330 | 1.3738 | 0.923 | 0 |
| 0.8871 | 0.6131 | 0.95 | 1 |
| 0.3703 | 0.4042 | 0.937 | 2 |
| 0.1942 | 0.2981 | 0.94 | 3 |
| 0.1099 | 0.2439 | 0.947 | 4 |
Framework versions
- Transformers 4.26.0.dev0
- TensorFlow 2.11.0
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
