unlearn_cifar10_resnet-50_random_label_2_87

jialicheng/unlearn_cifar10_resnet-50_random_label_2_87

unlearn_cifar10_resnet-50_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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At a glance

Task: Image Classification
License: apache-2.0
Model type: resnet
Access: Public
Created: Oct 22, 2025
Updated: Oct 22, 2025
SHA: 877a2f5b

Base models

microsoft/resnet-50

Model card

From the Hugging Face model README

87

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: 0.1442
Accuracy: 0.9669
Dt Accuracy: 0.9669
Df Accuracy: 0.164
Unlearn Overall Accuracy: 0.9667
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: 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	0.2369	0.939	0.2757	0.2757	None
0.6107	2.0	782	0.1853	0.944	0.2690	0.2690	None
0.527	3.0	1173	0.1766	0.944	0.2692	0.2692	None
0.4728	4.0	1564	0.1514	0.958	0.2483	0.2483	None
0.4728	5.0	1955	0.1536	0.943	0.2709	0.2709	None
0.436	6.0	2346	0.1555	0.944	0.2695	0.2695	None
0.4043	7.0	2737	0.1521	0.925	0.2975	0.2975	None
0.3804	8.0	3128	0.1659	0.886	0.3517	0.3517	None
0.3626	9.0	3519	0.1401	0.87	0.3735	0.3735	None
0.3626	10.0	3910	0.1499	0.791	0.4712	0.4712	None
0.3338	11.0	4301	0.1472	0.719	0.5509	0.5509	None
0.3133	12.0	4692	0.1427	0.683	0.5876	0.5876	None
0.2956	13.0	5083	0.1478	0.509	0.7411	0.7411	None
0.2956	14.0	5474	0.1549	0.457	0.7807	0.7807	None
0.2781	15.0	5865	0.1523	0.356	0.8511	0.8511	None
0.2613	16.0	6256	0.1521	0.273	0.9035	0.9035	None
0.2467	17.0	6647	0.1502	0.252	0.9164	0.9164	None
0.2342	18.0	7038	0.1504	0.197	0.9479	0.9479	None
0.2342	19.0	7429	0.1495	0.179	0.9582	0.9582	None
0.2211	20.0	7820	0.1442	0.164	0.9667	0.9667	None

Framework versions

Transformers 4.37.2
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2

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