unlearn_cifar10_resnet-50_random_label_4_42

jialicheng/unlearn_cifar10_resnet-50_random_label_4_42

unlearn_cifar10_resnet-50_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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At a glance

Task: Image Classification
Library: transformers
License: apache-2.0
Model type: resnet
Access: Public
Created: Oct 22, 2025
Updated: Oct 22, 2025
SHA: 0a7c407d

Base models

microsoft/resnet-50

Model card

From the Hugging Face model README

42

This model is a fine-tuned version of microsoft/resnet-50 on the cifar10 dataset. It achieves the following results on the evaluation set:

Loss: 0.1678
Accuracy: 0.9567
Dt Accuracy: 0.9567
Df Accuracy: 0.184
Unlearn Overall Accuracy: 0.9512
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: 0.001
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	0.2152	0.943	0.2704	0.2704	None
0.6804	2.0	782	0.1940	0.9535	0.2549	0.2549	None
0.5862	3.0	1173	0.1865	0.956	0.2512	0.2512	None
0.5431	4.0	1564	0.1893	0.946	0.2664	0.2664	None
0.5431	5.0	1955	0.1856	0.9485	0.2626	0.2626	None
0.5017	6.0	2346	0.1888	0.9425	0.2715	0.2715	None
0.4705	7.0	2737	0.1643	0.932	0.2873	0.2873	None
0.4383	8.0	3128	0.1691	0.913	0.3147	0.3147	None
0.4211	9.0	3519	0.1630	0.876	0.3653	0.3653	None
0.4211	10.0	3910	0.1758	0.829	0.4255	0.4255	None
0.3929	11.0	4301	0.1735	0.746	0.5213	0.5213	None
0.3741	12.0	4692	0.1867	0.662	0.6059	0.6059	None
0.3556	13.0	5083	0.1669	0.594	0.6693	0.6693	None
0.3556	14.0	5474	0.1666	0.514	0.7365	0.7365	None
0.326	15.0	5865	0.1771	0.396	0.8220	0.8220	None
0.3049	16.0	6256	0.1770	0.324	0.8683	0.8683	None
0.2816	17.0	6647	0.1743	0.272	0.9001	0.9001	None
0.2684	18.0	7038	0.1711	0.2255	0.9286	0.9286	None
0.2684	19.0	7429	0.1656	0.2105	0.9377	0.9377	None
0.2582	20.0	7820	0.1678	0.184	0.9512	0.9512	None

Framework versions

Transformers 4.48.0
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.21.0

Task: Image Classification
Library: transformers
Type: resnet
License: apache-2.0
Created: Oct 22, 2025
Updated: Oct 22, 2025