You can deploy this model and start earning money today!

PK-B/
roof_classification_rearrange_labels

Name: roof_classification_rearrange_labels
Availability: InStock

transformers

vit

image-classification

generated_from_keras_callback

google/vit-base-patch16-224-in21k

Views

No views yet

PK-B/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: 0.7457
Validation Loss: 0.9674
Train Accuracy: 0.8106
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': 18770, '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
3.3662	3.0784	0.3894	0
2.8003	2.5991	0.5830	1
2.3450	2.2234	0.6766	2
1.9717	1.8939	0.7532	3
1.6915	1.6970	0.7468	4
1.4260	1.3627	0.8553	5
1.1972	1.3024	0.8064	6
1.0469	1.0933	0.8532	7
0.8685	1.0638	0.8	8
0.7457	0.9674	0.8106	9

Framework versions

Transformers 4.35.2
TensorFlow 2.14.0
Datasets 2.15.0
Tokenizers 0.15.0