Ahmed007/Dr.Smart_v3

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: 0.3548
• Train Accuracy: 0.9304
• Train Top-3-accuracy: 0.9905
• Validation Loss: 0.6948
• Validation Accuracy: 0.7893
• Validation Top-3-accuracy: 0.9455
• Epoch: 3

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': 2198, '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
1.5583	0.5509	0.8160	1.1523	0.6705	0.9045	0
0.9379	0.7513	0.9445	0.8892	0.75	0.9304	1
0.5855	0.8658	0.9746	0.7279	0.7964	0.9491	2
0.3548	0.9304	0.9905	0.6948	0.7893	0.9455	3

Framework versions

• Transformers 4.31.0.dev0
• TensorFlow 2.12.0
• Datasets 2.1.0
• Tokenizers 0.13.3