unlearn-cl_cifar10_swin-base_random_label_6_42

jialicheng/unlearn-cl_cifar10_swin-base_random_label_6_42

unlearn-cl_cifar10_swin-base_random_label_6_42 is a image classification model from jialicheng. 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. --

Downloads · 30 days

2% of all-time downloads

All-time downloads

Public

Parameters

86.8M

350 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors348 MB · 99%

Parameter types

How the weights are stored.

F3286.8M · 100%

Base models

microsoft/swin-base-patch4-window7-224

Model card

From the Hugging Face model README

42

This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224 on the cifar10 dataset. It achieves the following results on the evaluation set:

Loss: 0.0923
Accuracy: 0.9733
Dt Accuracy: 0.9733
Df Accuracy: 0.055
Unlearn Overall Accuracy: 0
Unlearn Time: None

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: 128
eval_batch_size: 256
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Overall Accuracy	Unlearn Overall Accuracy	Time
No log	1.0	391	0.1024	0.9947	0.1905	0.1905	None
0.3724	2.0	782	0.0910	0.9943	0.1910	0.1910	None
0.3447	3.0	1173	0.0987	0.989	0.1997	0.1997	None
0.3378	4.0	1564	0.1129	0.966	0.2361	0.2361	None
0.3378	5.0	1955	0.0902	0.926	0.2962	0.2962	None
0.318	6.0	2346	0.0997	0.8533	0.3951	0.3951	None
0.294	7.0	2737	0.1006	0.749	0.5182	0.5182	None
0.2738	8.0	3128	0.1215	0.6243	0.6417	0.6417	None
0.2577	9.0	3519	0.0971	0.5747	0.6856	0.6856	None
0.2577	10.0	3910	0.1118	0.4017	0.8165	0.8165	None
0.2355	11.0	4301	0.0994	0.352	0.8498	0.8498	None
0.2192	12.0	4692	0.0994	0.2753	0.8973	0.8973	None
0.205	13.0	5083	0.1121	0.188	0.9425	0.9425	None
0.205	14.0	5474	0.0928	0.194	0.9428	0.9428	None
0.1926	15.0	5865	0.0961	0.1427	0.9697	0.9697	None
0.1781	16.0	6256	0.0981	0.1093	0.9845	0.9845	None
0.1643	17.0	6647	0.0940	0.0877	0.9845	0.9845	None
0.1575	18.0	7038	0.0935	0.0767	0	0	None
0.1575	19.0	7429	0.0915	0.0623	0	0	None
0.1492	20.0	7820	0.0923	0.055	0	0	None

Framework versions

Transformers 4.48.0
Pytorch 2.2.2+cu118
Datasets 3.2.0
Tokenizers 0.21.0

Task: Image Classification
Library: transformers
Type: swin
License: apache-2.0
Created: Oct 27, 2025
Updated: Oct 27, 2025