unlearn_cifar10_swin-base_random_label_2_42

jialicheng/unlearn_cifar10_swin-base_random_label_2_42

unlearn_cifar10_swin-base_random_label_2_42 is a image classification model from jialicheng. Use it when you need a label for an image. 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: 0.0617
Accuracy: 0.985
Dt Accuracy: 0.985
Df Accuracy: 0.049
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
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	0.0588	0.994	0.1916	0.1916	None
0.2665	2.0	782	0.0604	0.985	0.2062	0.2062	None
0.249	3.0	1173	0.0638	0.976	0.2205	0.2205	None
0.2414	4.0	1564	0.0722	0.951	0.2592	0.2592	None
0.2414	5.0	1955	0.0665	0.918	0.3078	0.3078	None
0.2289	6.0	2346	0.0761	0.782	0.4819	0.4819	None
0.2075	7.0	2737	0.0698	0.659	0.6114	0.6114	None
0.1963	8.0	3128	0.0634	0.569	0.6926	0.6926	None
0.1873	9.0	3519	0.0682	0.477	0.7660	0.7660	None
0.1873	10.0	3910	0.0712	0.362	0.8467	0.8467	None
0.1699	11.0	4301	0.0704	0.318	0.8752	0.8752	None
0.1631	12.0	4692	0.0737	0.151	0.9703	0.9703	None
0.151	13.0	5083	0.0622	0.156	0.9683	0.9683	None
0.151	14.0	5474	0.0663	0.109	0.9926	0.9926	None
0.1435	15.0	5865	0.0658	0.099	0.9962	0.9962	None
0.1349	16.0	6256	0.0666	0.087	0.9902	0.9902	None
0.1271	17.0	6647	0.0633	0.056	0	0	None
0.1198	18.0	7038	0.0627	0.048	0	0	None
0.1198	19.0	7429	0.0614	0.047	0	0	None
0.12	20.0	7820	0.0617	0.049	0	0	None

Framework versions

Transformers 4.37.2
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2

Task: Image Classification
Type: swin
License: apache-2.0
Created: Oct 22, 2025
Updated: Oct 22, 2025