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PedroSampaio/
Vit-Food-101

Name: Vit-Food-101
Availability: InStock

transformers

vit

image-classification

generated_from_keras_callback

google/vit-base-patch16-224-in21k

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PedroSampaio/Vit-Food-101

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: 1.1413
Validation Loss: 0.9888
Train Accuracy: 0.7487
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': 303000, '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
3.8226	2.8342	0.4591	0
2.3305	1.6515	0.6385	1
1.5993	1.2386	0.7017	2
1.3010	1.0929	0.7265	3
1.1413	0.9888	0.7487	4

Framework versions

Transformers 4.34.1
TensorFlow 2.14.0
Datasets 2.14.6
Tokenizers 0.14.1