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cherrue/
RandomCrop_Rescale_epoch_3_learning_rate_5e_5_decay_0_01

Name: RandomCrop_Rescale_epoch_3_learning_rate_5e_5_decay_0_01
Availability: InStock

transformers

vit

image-classification

generated_from_keras_callback

apache-2.0

autotrain_compatible

endpoints_compatible

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cherrue/pricetag_classifier

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: 1.0546
Validation Loss: 1.2226
Train Accuracy: 0.3846
Epoch: 2

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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 1251, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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
1.3379	1.2276	0.5128	0
1.1973	1.1561	0.4615	1
1.0546	1.2226	0.3846	2

Framework versions

Transformers 4.28.0
TensorFlow 2.12.0
Datasets 2.13.1
Tokenizers 0.13.3

cherrue/RandomCrop_Rescale_epoch_3_learning_rate_5e_5_decay_0_01

cherrue/pricetag_classifier

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

cherrue/
RandomCrop_Rescale_epoch_3_learning_rate_5e_5_decay_0_01