aditnnda/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: 1.2535
• Validation Loss: 1.1620
• Train Accuracy: 0.8361
• 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': 910, '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
1.5950	1.5387	0.4426	0
1.5253	1.4478	0.6721	1
1.4462	1.3507	0.7705	2
1.3480	1.2574	0.7869	3
1.2535	1.1620	0.8361	4

Framework versions

• Transformers 4.35.1
• TensorFlow 2.14.0
• Datasets 2.14.6
• Tokenizers 0.14.1