CodeMania/Vehicle_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: 0.4395
• Validation Loss: 0.5309
• Train Accuracy: 0.8601
• 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: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 13595, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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	Validation Loss	Train Accuracy	Epoch
1.8665	1.3278	0.6654	0
1.1317	0.9559	0.7569	1
0.7964	0.7558	0.7908	2
0.5967	0.6633	0.8183	3
0.4395	0.5309	0.8601	4

Framework versions

• Transformers 4.44.2
• TensorFlow 2.17.0
• Datasets 3.0.0
• Tokenizers 0.19.1