metadata
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: shbA/food_classifier
results: []
shbA/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: 0.6782
- Validation Loss: 0.7004
- Train Accuracy: 0.7391
- Epoch: 6
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': 1288, '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 |
|---|---|---|---|
| 1.0935 | 1.0228 | 0.6304 | 0 |
| 1.0469 | 0.9620 | 0.7174 | 1 |
| 0.9548 | 0.8669 | 0.8043 | 2 |
| 0.8802 | 0.7712 | 0.7391 | 3 |
| 0.8107 | 0.6756 | 0.8261 | 4 |
| 0.7338 | 0.5727 | 0.8478 | 5 |
| 0.6782 | 0.7004 | 0.7391 | 6 |
Framework versions
- Transformers 4.29.1
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3