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suzzit/
skin-cancer-classificationv5

Name: skin-cancer-classificationv5
Availability: InStock

transformers

vit

image-classification

generated_from_keras_callback

google/vit-base-patch16-224-in21k

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suzzit/skin-cancer-classificationv5

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: 0.0000
Train Accuracy: 0.3266
Validation Loss: 0.0298
Validation Accuracy: 0.3139
Epoch: 4

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': 1e-05, 'decay_steps': 27740, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': np.float32(0.9), 'beta_2': np.float32(0.999), 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
0.0001	0.3172	0.0741	0.3215	0
0.0000	0.3360	0.0486	0.3367	1
0.0000	0.3446	0.0379	0.3519	2
0.0000	0.3252	0.0293	0.3089	3
0.0000	0.3266	0.0298	0.3139	4

Framework versions

Transformers 4.51.3
TensorFlow 2.19.0
Datasets 3.5.1
Tokenizers 0.21.1