unlearn-cl_cifar10_swin-base_random_label_8_87

jialicheng/unlearn-cl_cifar10_swin-base_random_label_8_87

unlearn-cl_cifar10_swin-base_random_label_8_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: 0.1131
Accuracy: 0.9631
Dt Accuracy: 0.9631
Df Accuracy: 0.071
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	0.1257	0.995	0.1899	0.1899	None
0.4262	2.0	782	0.1167	0.993	0.1932	0.1932	None
0.3925	3.0	1173	0.1235	0.978	0.2173	0.2173	None
0.3785	4.0	1564	0.1235	0.9637	0.2397	0.2397	None
0.3785	5.0	1955	0.1188	0.913	0.3147	0.3147	None
0.3634	6.0	2346	0.1392	0.8273	0.4274	0.4274	None
0.3402	7.0	2737	0.1252	0.7418	0.5254	0.5254	None
0.3215	8.0	3128	0.1397	0.6178	0.6469	0.6469	None
0.2984	9.0	3519	0.1332	0.547	0.7067	0.7067	None
0.2984	10.0	3910	0.1337	0.4293	0.7953	0.7953	None
0.2702	11.0	4301	0.1231	0.3488	0.8493	0.8493	None
0.2522	12.0	4692	0.1304	0.2647	0.8983	0.8983	None
0.234	13.0	5083	0.1232	0.202	0.9331	0.9331	None
0.234	14.0	5474	0.1315	0.1603	0.9532	0.9532	None
0.2166	15.0	5865	0.1336	0.108	0.9789	0.9789	None
0.2012	16.0	6256	0.1277	0.0958	0.9830	0.9830	None
0.1897	17.0	6647	0.1160	0.092	0.9823	0.9823	None
0.1796	18.0	7038	0.1163	0.0823	0.9770	0.9770	None
0.1796	19.0	7429	0.1152	0.0685	0	0	None
0.1718	20.0	7820	0.1131	0.071	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