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Docty/
Blood-Cell

Name: Blood-Cell
Rating: 2.5 (19 reviews)

transformers

vit

image-classification

generated_from_keras_callback

google/vit-base-patch16-224-in21k

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Blood-Cell

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: 1.9897
Validation Loss: 1.9904
Train Accuracy: 0.3905
Epoch: 9

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': 10, '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
1.9904	1.9904	0.3905	0
1.9894	1.9904	0.3905	1
1.9898	1.9904	0.3905	2
1.9897	1.9904	0.3905	3
1.9897	1.9904	0.3905	4
1.9901	1.9904	0.3905	5
1.9897	1.9904	0.3905	6
1.9897	1.9904	0.3905	7
1.9902	1.9904	0.3905	8
1.9897	1.9904	0.3905	9

Framework versions

Transformers 4.46.2
TensorFlow 2.17.1
Datasets 3.1.0
Tokenizers 0.20.3

Docty/Blood-Cell

Blood-Cell

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Docty/
Blood-Cell