swin-base-finetuned-cifar100

MazenAmria/swin-base-finetuned-cifar100

swin-base-finetuned-cifar100 is a image classification model from MazenAmria. Use it when you need a label for an image. It is set up for transformers. 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
Library: transformers
License: apache-2.0
Model type: swin
Access: Public
Created: Dec 23, 2022
Updated: Dec 23, 2022
SHA: 12f6e14d

Datasets

cifar100

Model card

From the Hugging Face model README

swin-base-finetuned-cifar100

This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224 on the cifar100 dataset. It achieves the following results on the evaluation set:

Accuracy: 0.9201
Loss: 0.3670

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: 4e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5

Training results

Training Loss	Epoch	Step	Accuracy	Validation Loss
0.3536	1.0	781	0.9052	0.3141
0.3254	2.0	1562	0.9117	0.2991
0.0936	3.0	2343	0.9138	0.3322
0.1054	4.0	3124	0.9158	0.3483
0.0269	5.0	3905	0.9201	0.3670

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2

Task: Image Classification
Library: transformers
Type: swin
License: apache-2.0
Created: Dec 23, 2022
Updated: Dec 23, 2022