shreyasgarimella/vit-base-patch16-224-rgbd1k2

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sghirardelli/vit-base-patch16-224-rgbd1k2

This model is a fine-tuned version of google/vit-base-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:

• —Train Loss: 1.9711
• —Train Accuracy: 0.4384
• —Train Top-3-accuracy: 0.6297
• —Validation Loss: 0.2537
• —Validation Accuracy: 0.9323
• —Validation Top-3-accuracy: 0.9940
• —Epoch: 0

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': {'classname': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learningrate': {'classname': 'PolynomialDecay', 'config': {'initiallearningrate': 0.002, 'decaysteps': 544, 'endlearningrate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta1': 0.9, 'beta2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weightdecayrate': 0.01}}, 'dynamic': True, 'initialscale': 32768.0, 'dynamicgrowthsteps': 2000}
• —trainingprecision: mixedfloat16

Training results

Framework versions

• —Transformers 4.31.0
• —TensorFlow 2.12.0
• —Datasets 2.14.1
• —Tokenizers 0.13.3