shreyasgarimella/vit-base-patch16-224-in21k-rgbd

<!-- 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. -->

vit-base-patch16-224-in21k-rgbd

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: 0.5496
• —Train Accuracy: 1.0
• —Train Top-3-accuracy: 1.0
• —Validation Loss: 0.3955
• —Validation Accuracy: 0.9994
• —Validation Top-3-accuracy: 1.0
• —Epoch: 1

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': 3e-05, 'decaysteps': 1455, '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 4.30.2
• —TensorFlow 2.12.0
• —Datasets 2.13.1
• —Tokenizers 0.13.3