unlearn_cifar10_resnet-50_random_label_6_87

jialicheng/unlearn_cifar10_resnet-50_random_label_6_87

unlearn_cifar10_resnet-50_random_label_6_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: 67bd4a5a

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: 0.1993
Accuracy: 0.9479
Dt Accuracy: 0.9479
Df Accuracy: 0.226
Unlearn Overall Accuracy: 0.9242
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	0.2827	0.9333	0.2840	0.2840	None
0.7393	2.0	782	0.2229	0.9477	0.2636	0.2636	None
0.653	3.0	1173	0.2032	0.9543	0.2538	0.2538	None
0.5959	4.0	1564	0.1937	0.953	0.2559	0.2559	None
0.5959	5.0	1955	0.1929	0.9563	0.2509	0.2509	None
0.5664	6.0	2346	0.1907	0.9583	0.2479	0.2479	None
0.5215	7.0	2737	0.1926	0.9417	0.2731	0.2731	None
0.5026	8.0	3128	0.1967	0.937	0.2799	0.2799	None
0.4776	9.0	3519	0.2049	0.907	0.3230	0.3230	None
0.4776	10.0	3910	0.2077	0.8493	0.3997	0.3997	None
0.4491	11.0	4301	0.2015	0.8087	0.4498	0.4498	None
0.4197	12.0	4692	0.2066	0.7193	0.5493	0.5493	None
0.4003	13.0	5083	0.2028	0.633	0.6331	0.6331	None
0.4003	14.0	5474	0.2052	0.5423	0.7113	0.7113	None
0.3805	15.0	5865	0.2073	0.4583	0.7744	0.7744	None
0.3473	16.0	6256	0.2103	0.371	0.8354	0.8354	None
0.3269	17.0	6647	0.2149	0.281	0.8905	0.8905	None
0.3099	18.0	7038	0.2073	0.2597	0.9031	0.9031	None
0.3099	19.0	7429	0.2085	0.2157	0.9282	0.9282	None
0.2906	20.0	7820	0.1993	0.226	0.9242	0.9242	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