unlearn_cifar10_swin-base_salun_6_87

jialicheng/unlearn_cifar10_swin-base_salun_6_87

unlearn_cifar10_swin-base_salun_6_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. --

Downloads · 30 days

8% of all-time downloads

All-time downloads

Public

Parameters

86.8M

1 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.pt694 MB · 66%

Parameter types

How the weights are stored.

F3286.8M · 100%

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: 0.1065
Accuracy: 0.9705
Dt Accuracy: 0.9705
Df Accuracy: 0.1897
Unlearn Overall Accuracy: 0.9437
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: 0.0001
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	0.1097	0.9163	0.3098	0.3098	None
0.4572	2.0	782	0.1168	0.9173	0.3084	0.3084	None
0.4301	3.0	1173	0.1229	0.9233	0.2998	0.2998	None
0.413	4.0	1564	0.1231	0.9113	0.3169	0.3169	None
0.413	5.0	1955	0.1084	0.901	0.3316	0.3316	None
0.3892	6.0	2346	0.1194	0.8743	0.3676	0.3676	None
0.3573	7.0	2737	0.1146	0.813	0.4448	0.4448	None
0.3382	8.0	3128	0.1367	0.7107	0.5574	0.5574	None
0.3047	9.0	3519	0.1341	0.6263	0.6382	0.6382	None
0.3047	10.0	3910	0.1359	0.5747	0.6839	0.6839	None
0.2765	11.0	4301	0.1380	0.4987	0.7438	0.7438	None
0.2515	12.0	4692	0.1162	0.4113	0.8080	0.8080	None
0.2266	13.0	5083	0.1263	0.34	0.8543	0.8543	None
0.2266	14.0	5474	0.1152	0.309	0.8740	0.8740	None
0.2055	15.0	5865	0.1247	0.2573	0.9032	0.9032	None
0.1907	16.0	6256	0.1161	0.2427	0.9132	0.9132	None
0.1724	17.0	6647	0.1139	0.2193	0.9263	0.9263	None
0.1571	18.0	7038	0.1056	0.2	0.9380	0.9380	None
0.1571	19.0	7429	0.1078	0.1913	0.9423	0.9423	None
0.1482	20.0	7820	0.1065	0.1897	0.9437	0.9437	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