codingwithboba/image_classifier

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codingwithboba/image_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: 0.3833
• —Validation Loss: 0.3626
• —Train Accuracy: 0.911
• —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', 'learningrate': {'classname': 'PolynomialDecay', 'config': {'initiallearningrate': 3e-05, 'decaysteps': 20000, 'endlearningrate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta1': 0.9, 'beta2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weightdecay_rate': 0.01}
• —training_precision: float32

Training results

Framework versions

• —Transformers 4.29.1
• —TensorFlow 2.12.0
• —Datasets 2.12.0
• —Tokenizers 0.13.3