cifar100-vit-base-patch16-224-in21k

pkr7098/cifar100-vit-base-patch16-224-in21k

cifar100-vit-base-patch16-224-in21k is a image classification model from pkr7098. Use it when you need a label for an image. The card lists the license as apache-2.0.

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

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At a glance

Task: Image Classification
License: apache-2.0
Model type: vit
Access: Public
Created: Aug 16, 2024
Updated: Aug 16, 2024
SHA: aa70da1d

Base models

google/vit-base-patch16-224-in21k

Model card

From the Hugging Face model README

cifar100-vit-base-patch16-224-in21k

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the cifar100 dataset. It achieves the following results on the evaluation set:

Loss: 0.2945
Accuracy: 0.926

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: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.3866	1.0	5313	1.0968	0.8747
0.6479	2.0	10626	0.4377	0.9004
0.6092	3.0	15939	0.3439	0.9081
0.4173	4.0	21252	0.3205	0.9169
0.4665	5.0	26565	0.3039	0.9175
0.3944	6.0	31878	0.3082	0.9201
0.303	7.0	37191	0.3011	0.9241
0.6128	8.0	42504	0.2983	0.9261
0.3794	9.0	47817	0.2945	0.926
0.3274	10.0	53130	0.3032	0.9269

Framework versions

Transformers 4.38.0
Pytorch 2.1.2+cu118
Datasets 2.19.1
Tokenizers 0.15.2

Task: Image Classification
Type: vit
License: apache-2.0
Created: Aug 16, 2024
Updated: Aug 16, 2024