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arieg/
4_01_s_200

Name: 4_01_s_200
Rating: 2.5 (5 reviews)

transformers

vit

image-classification

generated_from_keras_callback

google/vit-base-patch16-224-in21k

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arieg/4_01_s_200

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: 0.0156
Validation Loss: 0.0151
Train Accuracy: 1.0
Epoch: 19

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', 'clipnorm': 1.0, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 14400, '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
0.7193	0.2997	1.0	0
0.2007	0.1391	1.0	1
0.1164	0.0981	1.0	2
0.0881	0.0788	1.0	3
0.0724	0.0664	1.0	4
0.0618	0.0573	1.0	5
0.0537	0.0502	1.0	6
0.0474	0.0445	1.0	7
0.0421	0.0397	1.0	8
0.0377	0.0357	1.0	9
0.0339	0.0322	1.0	10
0.0307	0.0292	1.0	11
0.0279	0.0266	1.0	12
0.0254	0.0243	1.0	13
0.0233	0.0223	1.0	14
0.0214	0.0205	1.0	15
0.0197	0.0189	1.0	16
0.0182	0.0175	1.0	17
0.0168	0.0162	1.0	18
0.0156	0.0151	1.0	19

Framework versions

Transformers 4.35.0
TensorFlow 2.14.0
Datasets 2.14.6
Tokenizers 0.14.1