IMAbbaS/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: 0.1687
• Validation Loss: 0.1817
• Train Accuracy: 0.9633
• 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': 12000, '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
0.5953	0.4149	0.9567	0
0.3897	0.3374	0.9483	1
0.2923	0.2363	0.9617	2
0.2342	0.1968	0.96	3
0.1687	0.1817	0.9633	4

Framework versions

• Transformers 4.44.2
• TensorFlow 2.17.0
• Datasets 3.1.0
• Tokenizers 0.19.1