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