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rostcherno/
ai-and-human-art-classifier

Name: ai-and-human-art-classifier
Availability: InStock

transformers

vit

image-classification

generated_from_keras_callback

google/vit-base-patch16-224-in21k

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rostcherno/ai-and-human-art-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: 0.1332
Validation Loss: 0.1122
Train Accuracy: 0.9628
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': 6325, '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
0.5634	0.3687	0.8862	0
0.2924	0.2816	0.8917	1
0.2152	0.1730	0.9423	2
0.1681	0.1308	0.9502	3
0.1332	0.1122	0.9628	4

Framework versions

Transformers 4.47.1
TensorFlow 2.17.1
Datasets 3.2.0
Tokenizers 0.21.0