unlearn-cl_cifar10_swin-base_random_label_4_87

jialicheng/unlearn-cl_cifar10_swin-base_random_label_4_87

unlearn-cl_cifar10_swin-base_random_label_4_87 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

87

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: 0.0700
Accuracy: 0.9795
Dt Accuracy: 0.9795
Df Accuracy: 0.058
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: 87
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	0.0787	0.9915	0.1957	0.1957	None
0.3075	2.0	782	0.0729	0.993	0.1933	0.1933	None
0.2894	3.0	1173	0.0803	0.9835	0.2086	0.2086	None
0.2752	4.0	1564	0.0825	0.962	0.2424	0.2424	None
0.2752	5.0	1955	0.0771	0.9115	0.3169	0.3169	None
0.2665	6.0	2346	0.0900	0.808	0.4512	0.4512	None
0.2448	7.0	2737	0.0995	0.718	0.5512	0.5512	None
0.2358	8.0	3128	0.1011	0.575	0.6851	0.6851	None
0.215	9.0	3519	0.0914	0.5055	0.7418	0.7418	None
0.215	10.0	3910	0.0785	0.4235	0.8035	0.8035	None
0.199	11.0	4301	0.0763	0.3415	0.8591	0.8591	None
0.1841	12.0	4692	0.0770	0.2725	0.9012	0.9012	None
0.1748	13.0	5083	0.0814	0.205	0.9384	0.9384	None
0.1748	14.0	5474	0.0783	0.1535	0.9663	0.9663	None
0.1616	15.0	5865	0.0766	0.121	0.9834	0.9834	None
0.1463	16.0	6256	0.0780	0.109	0.9890	0.9890	None
0.1389	17.0	6647	0.0738	0.0775	0	0	None
0.1325	18.0	7038	0.0773	0.0605	0	0	None
0.1325	19.0	7429	0.0699	0.0605	0	0	None
0.1277	20.0	7820	0.0700	0.058	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