metadata

license: apache-2.0
tags:
  - image-classification
  - generated_from_trainer
datasets:
  - cifar10
model-index:
  - name: vit-base-patch16-224-in21k-finetuned-cifar10
    results: []

vit-base-patch16-224-in21k-finetuned-cifar10

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the cifar10 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: 8
eval_batch_size: 8
seed: 1337
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Framework versions

Transformers 4.19.0.dev0
Pytorch 1.10.1
Datasets 2.1.0
Tokenizers 0.12.1