unlearn_cifar10_swin-base_random_label_2_87

jialicheng/unlearn_cifar10_swin-base_random_label_2_87

unlearn_cifar10_swin-base_random_label_2_87 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

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: 0.0612
Accuracy: 0.9858
Dt Accuracy: 0.9858
Df Accuracy: 0.037
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: 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	0.0613	0.992	0.1949	0.1949	None
0.2704	2.0	782	0.0618	0.991	0.1965	0.1965	None
0.2496	3.0	1173	0.0672	0.974	0.2237	0.2237	None
0.2367	4.0	1564	0.0665	0.935	0.2831	0.2831	None
0.2367	5.0	1955	0.0727	0.867	0.3775	0.3775	None
0.2269	6.0	2346	0.0774	0.75	0.5174	0.5174	None
0.2116	7.0	2737	0.0799	0.649	0.6198	0.6198	None
0.1925	8.0	3128	0.0821	0.51	0.7396	0.7396	None
0.1847	9.0	3519	0.0762	0.482	0.7617	0.7617	None
0.1847	10.0	3910	0.0697	0.318	0.8746	0.8746	None
0.1738	11.0	4301	0.0684	0.29	0.8922	0.8922	None
0.1607	12.0	4692	0.0683	0.19	0.9501	0.9501	None
0.1491	13.0	5083	0.0689	0.15	0.9716	0.9716	None
0.1491	14.0	5474	0.0655	0.121	0.9862	0.9862	None
0.1403	15.0	5865	0.0666	0.091	0.9924	0.9924	None
0.1338	16.0	6256	0.0672	0.079	0	0	None
0.1304	17.0	6647	0.0634	0.056	0	0	None
0.1237	18.0	7038	0.0627	0.046	0	0	None
0.1237	19.0	7429	0.0625	0.041	0	0	None
0.1142	20.0	7820	0.0612	0.037	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