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vit-base-patch16-224-chest-x-ray – AI Model by chanelcolgate | AlphaNeural AI
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vit-base-patch16-224-chest-x-ray
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transformers
pytorch
vit
image-classification
generated_from_trainer
chest-xray-classification
apache-2.0
autotrain_compatible
endpoints_compatible
us
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vit-base-patch16-224-chest-x-ray
This model is a fine-tuned version of
google/vit-base-patch16-224
on the chest-xray-classification dataset.
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:
learning_rate: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Framework versions
Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
