vit-base-patch16-224-in21k-image-classification-sagemaker

philschmid/vit-base-patch16-224-in21k-image-classification-sagemaker

vit-base-patch16-224-in21k-image-classification-sagemaker is a image classification model from philschmid. Use it when you need a label for an image. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Image Classification
Library: transformers
Model type: vit
Access: Public
Created: Mar 2, 2022
Updated: Jun 9, 2021
SHA: 45424abd

Model card

From the Hugging Face model README

vit-base-patch16-224-in21k-image-classification-sagemaker

This model is a fine-tuned version of vit-base-patch16-224-in21k on the cifar10 dataset. It achieves the following results on the evaluation set:

Loss: 0.3033
Accuracy: 0.972

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: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	313	1.4603	0.936
1.6548	2.0	626	0.4451	0.966
1.6548	3.0	939	0.3033	0.972

Framework versions

Transformers 4.6.1
Pytorch 1.7.1
Datasets 1.6.2
Tokenizers 0.10.3

Task: Image Classification
Library: transformers
Type: vit
Created: Mar 2, 2022
Updated: Jun 9, 2021