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vit-base-patch16-224-finetuned-flower – AI Model by Deepak-Singh | AlphaNeural AI
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Deepak-Singh
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vit-base-patch16-224-finetuned-flower
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transformers
pytorch
vit
image-classification
generated_from_trainer
imagefolder
apache-2.0
autotrain_compatible
endpoints_compatible
us
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vit-base-patch16-224-finetuned-flower
This model is a fine-tuned version of
google/vit-base-patch16-224
on the imagefolder 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
Training results
Framework versions
Transformers 4.24.0
Pytorch 2.2.1+cu121
Datasets 2.7.1
Tokenizers 0.13.3
