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vit_base – AI Model by 1ancelot | AlphaNeural AI

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1ancelot/
vit_base

like

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image-classification

generated_from_trainer

google/vit-base-patch16-224

autotrain_compatible

endpoints_compatible

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base

This model is a fine-tuned version of google/vit-base-patch16-224 on an unknown 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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 25
mixed_precision_training: Native AMP
label_smoothing_factor: 0.1

Training results

Framework versions

Transformers 4.45.2
Pytorch 2.5.1+cu124
Datasets 3.0.1
Tokenizers 0.20.1