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hbenitez/
AV_classifier1

Name: AV_classifier1
Availability: InStock

transformers

vit

image-classification

generated_from_keras_callback

apache-2.0

autotrain_compatible

endpoints_compatible

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hbenitez/AV_classifier1

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: 0.6840
Validation Loss: 0.6659
Train Accuracy: 0.5
Epoch: 0

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': 80, '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': 0.01}
training_precision: float32

Training results

Train Loss	Validation Loss	Train Accuracy	Epoch
0.6840	0.6659	0.5	0

Framework versions

Transformers 4.30.2
TensorFlow 2.13.0-rc2
Datasets 2.13.1
Tokenizers 0.13.3