csiztom/vit-base-patch16-224-in21k-street-view

<!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. -->

csiztom/vit-base-patch16-224-in21k-street-view

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: 3.3425
• —Train Accuracy: 0.3008
• —Train Top-3-accuracy: 0.5072
• —Validation Loss: 3.8645
• —Validation Accuracy: 0.1618
• —Validation Top-3-accuracy: 0.2830
• —Epoch: 3

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', 'learningrate': {'module': 'keras.optimizers.schedules', 'classname': 'PolynomialDecay', 'config': {'initiallearningrate': 6e-05, 'decaysteps': 5250, 'endlearningrate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registeredname': None}, 'decay': 0.0, 'beta1': 0.9, 'beta2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weightdecayrate': 0.01}
• —training_precision: float32

Training results

Framework versions

• —Transformers 4.34.1
• —TensorFlow 2.14.0
• —Datasets 2.14.6
• —Tokenizers 0.14.1