unlearn_cifar10_resnet-50_random_label_10_87

jialicheng/unlearn_cifar10_resnet-50_random_label_10_87

unlearn_cifar10_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. --

Downloads · 30 days

3% of all-time downloads

All-time downloads

Public

Parameters

23.6M

96.8 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors94.4 MB · 97%

At a glance

Task: Image Classification
License: apache-2.0
Model type: resnet
Access: Public
Created: Oct 22, 2025
Updated: Oct 22, 2025
SHA: 4c1638b8

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: 0.2480
Accuracy: 0.9301
Dt Accuracy: 0.9301
Df Accuracy: 0.273
Unlearn Overall Accuracy: 0.8897
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	0.3294	0.9374	0.2779	0.2779	None
0.8357	2.0	782	0.2687	0.9526	0.2560	0.2560	None
0.7355	3.0	1173	0.2814	0.9548	0.2527	0.2527	None
0.69	4.0	1564	0.2311	0.9658	0.2362	0.2362	None
0.69	5.0	1955	0.2311	0.9668	0.2347	0.2347	None
0.6518	6.0	2346	0.2533	0.9582	0.2479	0.2479	None
0.6167	7.0	2737	0.2400	0.9538	0.2547	0.2547	None
0.594	8.0	3128	0.2370	0.9366	0.2805	0.2805	None
0.5722	9.0	3519	0.2404	0.9088	0.3204	0.3204	None
0.5722	10.0	3910	0.2401	0.8672	0.3764	0.3764	None
0.5432	11.0	4301	0.2115	0.8522	0.3964	0.3964	None
0.5084	12.0	4692	0.2404	0.7644	0.4997	0.4997	None
0.4869	13.0	5083	0.2245	0.6906	0.5776	0.5776	None
0.4869	14.0	5474	0.2327	0.6082	0.6532	0.6532	None
0.4579	15.0	5865	0.2473	0.4836	0.7529	0.7529	None
0.4247	16.0	6256	0.2581	0.3858	0.8187	0.8187	None
0.397	17.0	6647	0.2675	0.3404	0.8466	0.8466	None
0.3739	18.0	7038	0.2602	0.3066	0.8685	0.8685	None
0.3739	19.0	7429	0.2605	0.2644	0.8922	0.8922	None
0.3557	20.0	7820	0.2480	0.273	0.8897	0.8897	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