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damiacc2/
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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damiacc2/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: 0.2269
Train Accuracy: 0.926
Validation Loss: 0.2786
Validation Accuracy: 0.9260
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	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
0.4267	0.909	0.3843	0.9090	0
0.3467	0.917	0.3304	0.9170	1
0.2926	0.913	0.3178	0.9130	2
0.2469	0.917	0.3025	0.9170	3
0.2269	0.926	0.2786	0.9260	4

Framework versions

Transformers 4.34.1
TensorFlow 2.14.0
Datasets 2.14.6
Tokenizers 0.14.1