BTX24/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: 0.3836
• Validation Loss: 0.3832
• Train Accuracy: 0.896
• Train Precision: 0.9019
• Train Recall: 0.896
• Train F1: 0.8929
• 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	Train Precision	Train Recall	Train F1	Epoch
2.7644	1.5719	0.863	0.8675	0.863	0.8523	0
1.1888	0.7829	0.9	0.9018	0.9	0.8994	1
0.6888	0.4964	0.92	0.9224	0.92	0.9207	2
0.4734	0.3715	0.93	0.9302	0.93	0.9286	3
0.3836	0.3832	0.896	0.9019	0.896	0.8929	4

Framework versions

• Transformers 4.41.2
• TensorFlow 2.15.0
• Datasets 2.19.2
• Tokenizers 0.19.1