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Ahmed007/
vit-base-patch16-224-in21k-Dr.Smart

Name: vit-base-patch16-224-in21k-Dr.Smart
Availability: InStock

generated_from_keras_callback

apache-2.0

autotrain_compatible

endpoints_compatible

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Ahmed007/vit-base-patch16-224-in21k-Dr.Smart

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: 0.3448
Train Accuracy: 0.9475
Train Top-3-accuracy: 0.9910
Validation Loss: 0.7867
Validation Accuracy: 0.7646
Validation Top-3-accuracy: 0.9395
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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 1350, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
training_precision: mixed_float16

Training results

Train Loss	Train Accuracy	Train Top-3-accuracy	Validation Loss	Validation Accuracy	Validation Top-3-accuracy	Epoch
1.6331	0.5028	0.7892	1.2982	0.6197	0.8717	0
1.0538	0.7156	0.9293	1.0441	0.6975	0.9116	1
0.6956	0.8427	0.9699	0.8748	0.7493	0.9282	2
0.4569	0.9177	0.9855	0.8106	0.7613	0.9335	3
0.3448	0.9475	0.9910	0.7867	0.7646	0.9395	4

Framework versions

Transformers 4.31.0.dev0
TensorFlow 2.12.0
Datasets 2.1.0
Tokenizers 0.13.3