unlearn-cl_cifar10_swin-base_random_label_8_42

jialicheng/unlearn-cl_cifar10_swin-base_random_label_8_42

unlearn-cl_cifar10_swin-base_random_label_8_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: 0.1133
Accuracy: 0.9625
Dt Accuracy: 0.9625
Df Accuracy: 0.0648
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	0.1280	0.9945	0.1908	0.1908	None
0.4237	2.0	782	0.1159	0.9938	0.1920	0.1920	None
0.3908	3.0	1173	0.1104	0.9915	0.1957	0.1957	None
0.3829	4.0	1564	0.1099	0.9695	0.2308	0.2308	None
0.3829	5.0	1955	0.1042	0.9363	0.2812	0.2812	None
0.365	6.0	2346	0.1181	0.8738	0.3685	0.3685	None
0.3455	7.0	2737	0.1314	0.7655	0.4994	0.4994	None
0.3257	8.0	3128	0.1385	0.6132	0.6505	0.6505	None
0.3027	9.0	3519	0.1206	0.5483	0.7064	0.7064	None
0.3027	10.0	3910	0.1408	0.416	0.8025	0.8025	None
0.2736	11.0	4301	0.1457	0.306	0.8724	0.8724	None
0.2548	12.0	4692	0.1203	0.2795	0.8912	0.8912	None
0.2373	13.0	5083	0.1156	0.2253	0.9222	0.9222	None
0.2373	14.0	5474	0.1179	0.1658	0.9528	0.9528	None
0.2179	15.0	5865	0.1220	0.1278	0.9710	0.9710	None
0.2033	16.0	6256	0.1171	0.1072	0.9822	0.9822	None
0.1916	17.0	6647	0.1124	0.1	0.9859	0.9859	None
0.1779	18.0	7038	0.1252	0.078	0	0	None
0.1779	19.0	7429	0.1137	0.0688	0	0	None
0.1703	20.0	7820	0.1133	0.0648	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