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vit-base-patch16-224-finetuned-wildcats – AI Model by rsadaphule | AlphaNeural AI
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rsadaphule
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vit-base-patch16-224-finetuned-wildcats
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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-wildcats
This model is a fine-tuned version of
google/vit-base-patch16-224
on the wildcat image dataset.
Model description
Demo is hosted at
https://huggingface.co/spaces/rsadaphule/wildcats
Intended uses & limitations
Classify wildcats
Training and evaluation data
Model has been trained on wildcat images
Training procedure
Fine tune Vision Transformer on wildcat images
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
accuracy : 97%
Framework versions
Transformers 4.24.0
Pytorch 2.1.0+cu121
Datasets 2.7.1
Tokenizers 0.13.3
