unlearn_cifar100_resnet-50_random_label_10_87

jialicheng/unlearn_cifar100_resnet-50_random_label_10_87

unlearn_cifar100_resnet-50_random_label_10_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: 6d934d07

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 cifar100 dataset. It achieves the following results on the evaluation set:

Loss: 0.6816
Accuracy: 0.8299
Dt Accuracy: 0.8299
Df Accuracy: 0.7632
Unlearn Overall Accuracy: 0.3957
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: 0.0002
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	0.6875	0.8664	0.2504	0.2504	None
1.6246	2.0	782	0.6795	0.8636	0.2549	0.2549	None
1.3834	3.0	1173	0.6867	0.866	0.2515	0.2515	None
1.2885	4.0	1564	0.6865	0.8662	0.2511	0.2511	None
1.2885	5.0	1955	0.6840	0.8706	0.2445	0.2445	None
1.2276	6.0	2346	0.6792	0.8708	0.2442	0.2442	None
1.1771	7.0	2737	0.6766	0.8658	0.2520	0.2520	None
1.1403	8.0	3128	0.6730	0.8538	0.2701	0.2701	None
1.0981	9.0	3519	0.6641	0.8556	0.2674	0.2674	None
1.0981	10.0	3910	0.6720	0.8408	0.2894	0.2894	None
1.0563	11.0	4301	0.6642	0.8312	0.3033	0.3033	None
1.0297	12.0	4692	0.6774	0.8254	0.3116	0.3116	None
1.0078	13.0	5083	0.6758	0.811	0.3318	0.3318	None
1.0078	14.0	5474	0.6720	0.8048	0.3404	0.3404	None
0.9949	15.0	5865	0.6841	0.781	0.3724	0.3724	None
0.9627	16.0	6256	0.6797	0.7808	0.3728	0.3728	None
0.9487	17.0	6647	0.6814	0.769	0.3882	0.3882	None
0.9371	18.0	7038	0.6773	0.775	0.3806	0.3806	None
0.9371	19.0	7429	0.6796	0.7652	0.3931	0.3931	None
0.9238	20.0	7820	0.6816	0.7632	0.3957	0.3957	None

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu118
Datasets 2.18.0
Tokenizers 0.15.2

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