fanaf91318/image-classifier-78-10-epoch-clean

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: 0.7377
• Validation Loss: 1.1864
• Train Accuracy: 0.7046
• 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0001, 'decay_steps': 59000, '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
3.7894	3.2415	0.3476	0
2.9188	2.5308	0.4824	1
2.2939	2.0642	0.5501	2
1.8570	1.7353	0.5962	3
1.5300	1.5211	0.6369	4
1.2610	1.4143	0.6612	5
1.0738	1.2610	0.6965	6
0.9197	1.2404	0.6897	7
0.8280	1.2069	0.6985	8
0.7377	1.1864	0.7046	9

Framework versions

• Transformers 4.41.2
• TensorFlow 2.15.0
• Datasets 2.19.2
• Tokenizers 0.19.1