unlearn_cifar10_swin-base_random_label_4_42

jialicheng/unlearn_cifar10_swin-base_random_label_4_42

unlearn_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: 0.0831
Accuracy: 0.9804
Dt Accuracy: 0.9804
Df Accuracy: 0.0335
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	0.0886	0.9955	0.1892	0.1892	None
0.3371	2.0	782	0.0924	0.991	0.1965	0.1965	None
0.3078	3.0	1173	0.0916	0.9795	0.2150	0.2150	None
0.2949	4.0	1564	0.1015	0.9365	0.2808	0.2808	None
0.2949	5.0	1955	0.0866	0.8855	0.3529	0.3529	None
0.2817	6.0	2346	0.0875	0.8205	0.4362	0.4362	None
0.2633	7.0	2737	0.1006	0.7115	0.5582	0.5582	None
0.2379	8.0	3128	0.1087	0.5445	0.7107	0.7107	None
0.2238	9.0	3519	0.0988	0.455	0.7806	0.7806	None
0.2238	10.0	3910	0.0942	0.3465	0.8545	0.8545	None
0.2054	11.0	4301	0.0910	0.307	0.8797	0.8797	None
0.1907	12.0	4692	0.0918	0.206	0.9379	0.9379	None
0.1745	13.0	5083	0.0866	0.2005	0.9419	0.9419	None
0.1745	14.0	5474	0.0863	0.154	0.9669	0.9669	None
0.1633	15.0	5865	0.0869	0.105	0.9908	0.9908	None
0.158	16.0	6256	0.0882	0.072	0	0	None
0.1419	17.0	6647	0.0881	0.0605	0	0	None
0.1388	18.0	7038	0.0868	0.0415	0	0	None
0.1388	19.0	7429	0.0827	0.041	0	0	None
0.1313	20.0	7820	0.0831	0.0335	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 22, 2025
Updated: Oct 22, 2025