unlearn-cl_cifar10_swin-base_random_label_4_42

jialicheng/unlearn-cl_cifar10_swin-base_random_label_4_42

unlearn-cl_cifar10_swin-base_random_label_4_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. --

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Hugging Face

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.safetensors348 MB · 99%

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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: 0.0683
Accuracy: 0.9803
Dt Accuracy: 0.9803
Df Accuracy: 0.0575
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	0.0769	0.9935	0.1924	0.1924	None
0.308	2.0	782	0.0768	0.994	0.1916	0.1916	None
0.2839	3.0	1173	0.0764	0.9815	0.2118	0.2118	None
0.2756	4.0	1564	0.0901	0.943	0.2712	0.2712	None
0.2756	5.0	1955	0.0717	0.9045	0.3268	0.3268	None
0.2639	6.0	2346	0.0720	0.874	0.3684	0.3684	None
0.2514	7.0	2737	0.0849	0.7845	0.4788	0.4788	None
0.2328	8.0	3128	0.0876	0.631	0.6368	0.6368	None
0.2172	9.0	3519	0.0780	0.542	0.7138	0.7138	None
0.2172	10.0	3910	0.0838	0.443	0.7893	0.7893	None
0.2007	11.0	4301	0.0813	0.3675	0.8409	0.8409	None
0.1902	12.0	4692	0.0849	0.269	0.9021	0.9021	None
0.1733	13.0	5083	0.0730	0.2605	0.9086	0.9086	None
0.1733	14.0	5474	0.0750	0.17	0.9588	0.9588	None
0.1626	15.0	5865	0.0738	0.162	0.9625	0.9625	None
0.1548	16.0	6256	0.0732	0.1095	0.9894	0.9894	None
0.1413	17.0	6647	0.0723	0.0925	0.9905	0.9905	None
0.1353	18.0	7038	0.0718	0.06	0	0	None
0.1353	19.0	7429	0.0681	0.0665	0	0	None
0.1308	20.0	7820	0.0683	0.0575	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