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vit-base-beans – AI Model by zho | AlphaNeural AI

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zho/
vit-base-beans

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image-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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vit-base-beans

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the beans 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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 1337
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5.0

Framework versions

Transformers 4.29.0
Pytorch 2.0.0+cu117
Datasets 2.11.0
Tokenizers 0.13.3