metadata
license: apache-2.0
base_model: agusg6/food_classifier
tags:
- generated_from_keras_callback
model-index:
- name: agusg6/food_classifier
results: []
agusg6/food_classifier
This model is a fine-tuned version of agusg6/food_classifier on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.8050
- Validation Loss: 0.8146
- Train Accuracy: 0.6475
- 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': 5545, '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 |
---|---|---|---|
0.8657 | 0.8197 | 0.6403 | 0 |
0.8443 | 0.8155 | 0.6331 | 1 |
0.8306 | 0.8137 | 0.6511 | 2 |
0.8273 | 0.8319 | 0.6511 | 3 |
0.8050 | 0.8146 | 0.6475 | 4 |
Framework versions
- Transformers 4.39.3
- TensorFlow 2.16.1
- Datasets 2.18.0
- Tokenizers 0.15.2