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agusg6/
2cla_classification

Name: 2cla_classification
Rating: 2.5 (5 reviews)

transformers

vit

image-classification

generated_from_keras_callback

google/vit-base-patch16-224-in21k

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agusg6/2cla_classification

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: 0.4712
Validation Loss: 0.4240
Train Accuracy: 0.8144
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': 3e-05, 'decay_steps': 22190, '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
0.5506	0.5478	0.7423	0
0.5186	0.4889	0.7721	1
0.5039	0.4618	0.7955	2
0.4793	0.4596	0.7955	3
0.4712	0.4240	0.8144	4

Framework versions

Transformers 4.40.0
TensorFlow 2.16.1
Datasets 2.18.0
Tokenizers 0.19.1