Prahas10/roof-large

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: 0.0498
• Validation Loss: 0.1617
• Train Accuracy: 0.9636
• 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': 4e-05, 'decay_steps': 4380, '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
1.6423	1.0616	0.7091	0
0.4478	0.6131	0.8636	1
0.1556	0.2951	0.9273	2
0.0688	0.5952	0.7909	3
0.1217	0.2658	0.9273	4
0.0391	0.2163	0.9545	5
0.0364	0.0717	0.9818	6
0.0562	0.3374	0.8727	7
0.0692	0.6530	0.7909	8
0.0498	0.1617	0.9636	9

Framework versions

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