maxsop/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: 0.3005
- Validation Loss: 0.2724
- Train Accuracy: 0.928
- 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 20000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': np.float32(0.9), 'beta_2': np.float32(0.999), 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
Train Loss | Validation Loss | Train Accuracy | Epoch |
---|---|---|---|
1.1637 | 0.7682 | 0.897 | 0 |
0.6543 | 0.5160 | 0.907 | 1 |
0.4626 | 0.4016 | 0.907 | 2 |
0.3701 | 0.3274 | 0.918 | 3 |
0.3005 | 0.2724 | 0.928 | 4 |
Framework versions
- Transformers 4.47.1
- TensorFlow 2.18.0
- Datasets 3.2.0
- Tokenizers 0.21.0
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Base model
google/vit-base-patch16-224-in21k