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vit-bach-demo – AI Model by tcvrishank | AlphaNeural AI

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tcvrishank/
vit-bach-demo

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image-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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vit-bach-demo

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: 0.0001
train_batch_size: 64
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.27.2
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2