leopuv/dog_chicken_muffin_classifier

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: 0.0326
• Train Accuracy: 0.9947
• Validation Loss: 0.0191
• Validation Accuracy: 0.9947
• Epoch: 9

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: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 22500, '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}
• training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
0.4271	0.996	0.1010	0.9960	0
0.1111	0.9933	0.0613	0.9933	1
0.0774	0.9947	0.0451	0.9947	2
0.0592	0.9947	0.0354	0.9947	3
0.0457	0.9987	0.0252	0.9987	4
0.0434	0.992	0.0346	0.9920	5
0.0429	0.996	0.0270	0.9960	6
0.0397	0.9973	0.0177	0.9973	7
0.0326	0.9973	0.0161	0.9973	8
0.0326	0.9947	0.0191	0.9947	9

Framework versions

• Transformers 4.30.2
• TensorFlow 2.12.0
• Datasets 2.13.1
• Tokenizers 0.13.3