HarshaSingamshetty1/roof_classification_rearrange_labels

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: 1.3721
• Train Accuracy: 0.4404
• Validation Loss: 1.6641
• Validation Accuracy: 0.4000
• 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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.0005, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
3.2127	0.1021	2.8916	0.1340	0
2.7296	0.1255	2.7126	0.1213	1
2.3888	0.2468	2.3456	0.2489	2
2.1480	0.2702	2.1604	0.2830	3
2.0789	0.3170	2.0942	0.3106	4
1.8117	0.3851	1.8224	0.3766	5
1.6477	0.3426	1.8774	0.3596	6
1.5677	0.4404	1.7042	0.4362	7
1.4018	0.4660	1.4974	0.4553	8
1.3721	0.4404	1.6641	0.4000	9

Framework versions

• Transformers 4.35.2
• TensorFlow 2.14.0
• Datasets 2.15.0
• Tokenizers 0.15.0