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NInjaQuarrior/
vit-base-patch16-224-in21k-disaster2

Name: vit-base-patch16-224-in21k-disaster2
Availability: InStock

generated_from_keras_callback

google/vit-base-patch16-224-in21k

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NInjaQuarrior/vit-base-patch16-224-in21k-disaster2

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: 0.1002
Train Caccuracy: 0.9936
Train Fn: 14.0
Train Fp: 17.0
Train Tn: 4647.0
Train Tp: 2318.0
Validation Loss: 0.1452
Validation Caccuracy: 0.9757
Validation Fn: 9.0
Validation Fp: 12.0
Validation Tn: 812.0
Validation Tp: 403.0
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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 219, '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}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
training_precision: mixed_float16

Training results

Train Loss	Train Caccuracy	Train Fn	Train Fp	Train Tn	Train Tp	Validation Loss	Validation Caccuracy	Validation Fn	Validation Fp	Validation Tn	Validation Tp	Epoch
0.5143	0.9112	729.0	38.0	4626.0	1603.0	0.2132	0.9684	14.0	14.0	810.0	398.0	0
0.1474	0.9850	36.0	41.0	4623.0	2296.0	0.1596	0.9709	12.0	14.0	810.0	400.0	1
0.1002	0.9936	14.0	17.0	4647.0	2318.0	0.1452	0.9757	9.0	12.0	812.0	403.0	2

Framework versions

Transformers 4.35.2
TensorFlow 2.10.0
Datasets 2.15.0
Tokenizers 0.15.0