Audi24/OptoAI

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: 1.1247
• Validation Loss: 1.0296
• Train Accuracy: 0.6167
• 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': 2400, '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
1.2671	1.1720	0.5	0
1.1998	1.0899	0.5417	1
1.1785	1.0827	0.6167	2
1.1651	1.0569	0.5917	3
1.1247	1.0296	0.6167	4

Framework versions

• Transformers 4.47.0
• TensorFlow 2.17.1
• Datasets 3.2.0
• Tokenizers 0.21.0