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 facebook/dino-vitb16 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.4493
- Validation Loss: 0.4618
- Train Accuracy: 0.8043
- 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 |
|---|---|---|---|
| 1.2277 | 0.8208 | 0.6087 | 0 |
| 0.7967 | 0.4934 | 0.8261 | 1 |
| 0.5488 | 0.5541 | 0.7391 | 2 |
| 0.6664 | 1.0464 | 0.6304 | 3 |
| 0.7975 | 1.1285 | 0.5652 | 4 |
| 0.6134 | 0.8258 | 0.6957 | 5 |
| 0.4493 | 0.4618 | 0.8043 | 6 |
Framework versions
- Transformers 4.29.1
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3