Prahas10/roof-sample

This model is a fine-tuned version of google/vit-base-patch16-384 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.0745
• Validation Loss: 0.3751
• Train Accuracy: 0.9036
• 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': 3e-05, 'decay_steps': 1930, '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': 0.0001}
• training_precision: float32

Training results

Train Loss	Validation Loss	Train Accuracy	Epoch
2.4213	2.1960	0.3976	0
1.4980	1.6884	0.5542	1
0.8368	1.2810	0.6386	2
0.4281	1.0031	0.7108	3
0.2528	0.9361	0.7108	4
0.1838	1.1263	0.6145	5
0.4895	0.7904	0.8072	6
0.1850	0.5048	0.9277	7
0.0928	0.3762	0.9277	8
0.0745	0.3751	0.9036	9

Framework versions

• Transformers 4.38.2
• TensorFlow 2.15.0
• Datasets 2.16.1
• Tokenizers 0.15.2