swin-tiny-patch4-window7-224-finetuned-cifar100

jaycamper/swin-tiny-patch4-window7-224-finetuned-cifar100

swin-tiny-patch4-window7-224-finetuned-cifar100 is a image classification model from jaycamper. 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: Jun 20, 2023
Updated: Jun 20, 2023
SHA: dab803fb

Datasets

cifar100

Model card

From the Hugging Face model README

swin-tiny-patch4-window7-224-finetuned-cifar100

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

Loss: 0.5996
Accuracy: 0.8154

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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.5918	1.0	351	0.9104	0.7364
1.2837	2.0	703	0.6691	0.796
1.1241	2.99	1053	0.5996	0.8154

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.0
Tokenizers 0.13.3

Task: Image Classification
Library: transformers
Type: swin
License: apache-2.0
Created: Jun 20, 2023
Updated: Jun 20, 2023