twm213/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: 0.3748
- Validation Loss: 0.3432
- Train Accuracy: 0.914
- 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 |
|---|---|---|---|
| 2.7859 | 1.6483 | 0.799 | 0 |
| 1.2220 | 0.9133 | 0.842 | 1 |
| 0.7054 | 0.5449 | 0.898 | 2 |
| 0.4945 | 0.4446 | 0.892 | 3 |
| 0.3748 | 0.3432 | 0.914 | 4 |
Framework versions
- Transformers 4.33.3
- TensorFlow 2.9.1
- Datasets 2.14.5
- Tokenizers 0.13.3