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CharlesBointon/
food_classifier

Name: food_classifier
Rating: 2.5 (5 reviews)

transformers

vit

image-classification

generated_from_keras_callback

google/vit-base-patch16-224-in21k

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CharlesBointon/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: 1.2662
Validation Loss: 1.1840
Train Accuracy: 1.0
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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 2000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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
3.6773	2.6774	1.0	0
2.1700	1.8405	1.0	1
1.6777	1.5476	1.0	2
1.4452	1.3513	1.0	3
1.2662	1.1840	1.0	4

Framework versions

Transformers 4.32.0.dev0
TensorFlow 2.9.1
Datasets 2.14.2
Tokenizers 0.12.1