dwiedarioo/vit-base-patch16-224-in21k-finalmultibrainmri

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dwiedarioo/vit-base-patch16-224-in21k-finalmultibrainmri

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: 0.1240
• —Train Accuracy: 0.9989
• —Train Top-3-accuracy: 1.0
• —Validation Loss: 0.2638
• —Validation Accuracy: 0.9568
• —Validation Top-3-accuracy: 0.9892
• —Epoch: 10

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: {'inneroptimizer': {'module': 'transformers.optimizationtf', 'classname': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learningrate': {'module': 'keras.optimizers.schedules', 'classname': 'PolynomialDecay', 'config': {'initiallearningrate': 3e-05, 'decaysteps': 8200, 'endlearningrate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registeredname': None}, 'decay': 0.0, 'beta1': 0.8999999761581421, 'beta2': 0.9990000128746033, 'epsilon': 1e-08, 'amsgrad': False, 'weightdecayrate': 0.01}, 'registeredname': 'AdamWeightDecay'}, 'dynamic': True, 'initialscale': 32768.0, 'dynamicgrowth_steps': 2000}
• —trainingprecision: mixedfloat16

Training results

Framework versions

• —Transformers 4.35.0
• —TensorFlow 2.14.0
• —Datasets 2.14.6
• —Tokenizers 0.14.1