unlearn_cifar10_resnet-50_random_label_2_42

jialicheng/unlearn_cifar10_resnet-50_random_label_2_42

unlearn_cifar10_resnet-50_random_label_2_42 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: a696f1ec

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: 0.1367
Accuracy: 0.9655
Dt Accuracy: 0.9655
Df Accuracy: 0.167
Unlearn Overall Accuracy: 0.9645
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: 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	0.2105	0.932	0.2862	0.2862	None
0.6083	2.0	782	0.1862	0.934	0.2836	0.2836	None
0.528	3.0	1173	0.1642	0.95	0.2603	0.2603	None
0.4778	4.0	1564	0.1627	0.954	0.2543	0.2543	None
0.4778	5.0	1955	0.1515	0.941	0.2740	0.2740	None
0.4386	6.0	2346	0.1407	0.929	0.2916	0.2916	None
0.4037	7.0	2737	0.1541	0.919	0.3061	0.3061	None
0.3811	8.0	3128	0.1467	0.898	0.3357	0.3357	None
0.3624	9.0	3519	0.1406	0.869	0.3749	0.3749	None
0.3624	10.0	3910	0.1535	0.836	0.4169	0.4169	None
0.3346	11.0	4301	0.1471	0.708	0.5620	0.5620	None
0.3182	12.0	4692	0.1509	0.611	0.6552	0.6552	None
0.2995	13.0	5083	0.1492	0.574	0.6880	0.6880	None
0.2995	14.0	5474	0.1579	0.403	0.8192	0.8192	None
0.282	15.0	5865	0.1519	0.337	0.8635	0.8635	None
0.2671	16.0	6256	0.1416	0.326	0.8713	0.8713	None
0.2421	17.0	6647	0.1513	0.21	0.9394	0.9394	None
0.2331	18.0	7038	0.1439	0.163	0.9659	0.9659	None
0.2331	19.0	7429	0.1358	0.178	0.9584	0.9584	None
0.2205	20.0	7820	0.1367	0.167	0.9645	0.9645	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