Ahmed007/Dr.Smart_v2

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: 0.2290
• Train Accuracy: 0.9618
• Train Top-3-accuracy: 0.9950
• Validation Loss: 0.7078
• Validation Accuracy: 0.7866
• Validation Top-3-accuracy: 0.9473
• 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': 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
1.5647	0.5528	0.8140	1.2034	0.6545	0.8955	0
0.9375	0.7526	0.9398	0.9144	0.7330	0.9277	1
0.5873	0.8659	0.9756	0.7693	0.7777	0.9464	2
0.3585	0.9294	0.9891	0.7194	0.7902	0.9473	3
0.2290	0.9618	0.9950	0.7078	0.7866	0.9473	4

Framework versions

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