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suzzit/
skin-cancer-classificationv4

Name: skin-cancer-classificationv4
Availability: InStock

transformers

vit

image-classification

generated_from_keras_callback

google/vit-base-patch16-224-in21k

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suzzit/skin-cancer-classificationv4

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: 0.3392
Validation Loss: 0.0292
Validation Accuracy: 0.3848
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 Accuracy	Validation Loss	Validation Accuracy	Epoch
0.3259	0.0412	0.3797	0
0.3169	0.0403	0.3797	1
0.3079	0.0335	0.3823	2
0.3338	0.0294	0.3848	3
0.3392	0.0292	0.3848	4

Framework versions

Transformers 4.51.3
TensorFlow 2.19.0
Datasets 3.5.1
Tokenizers 0.21.1