suprith777/food_classifier
This model is a fine-tuned version of MariaK/my_food_classifier on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.2052
- Validation Loss: 0.2477
- Train Accuracy: 0.923
- 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': 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 |
---|---|---|---|
0.5118 | 0.3086 | 0.909 | 0 |
0.3279 | 0.2283 | 0.933 | 1 |
0.2815 | 0.2315 | 0.929 | 2 |
0.2294 | 0.2196 | 0.935 | 3 |
0.2052 | 0.2477 | 0.923 | 4 |
Framework versions
- Transformers 4.30.2
- TensorFlow 2.15.0
- Datasets 2.15.0
- Tokenizers 0.13.3
- Downloads last month
- 6
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.