unlearn_cifar100_resnet-50_random_label_8_42

jialicheng/unlearn_cifar100_resnet-50_random_label_8_42

unlearn_cifar100_resnet-50_random_label_8_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. --

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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: c9c7b370

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

Loss: 0.6432
Accuracy: 0.8376
Dt Accuracy: 0.8376
Df Accuracy: 0.7847
Unlearn Overall Accuracy: 0.3674
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: 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	0.6640	0.8718	0.2424	0.2424	None
1.5324	2.0	782	0.6619	0.869	0.2467	0.2467	None
1.338	3.0	1173	0.6555	0.874	0.2392	0.2392	None
1.2599	4.0	1564	0.6457	0.8778	0.2334	0.2334	None
1.2599	5.0	1955	0.6594	0.8705	0.2446	0.2446	None
1.1936	6.0	2346	0.6472	0.8675	0.2492	0.2492	None
1.1308	7.0	2737	0.6317	0.877	0.2347	0.2347	None
1.0909	8.0	3128	0.6528	0.866	0.2517	0.2517	None
1.0533	9.0	3519	0.6384	0.8622	0.2575	0.2575	None
1.0533	10.0	3910	0.6374	0.847	0.2802	0.2802	None
1.015	11.0	4301	0.6474	0.8407	0.2895	0.2895	None
0.9935	12.0	4692	0.6396	0.831	0.3035	0.3035	None
0.9688	13.0	5083	0.6372	0.8247	0.3123	0.3123	None
0.9688	14.0	5474	0.6448	0.8133	0.3288	0.3288	None
0.9343	15.0	5865	0.6395	0.8047	0.3404	0.3404	None
0.9257	16.0	6256	0.6405	0.8015	0.3448	0.3448	None
0.9084	17.0	6647	0.6492	0.789	0.3617	0.3617	None
0.885	18.0	7038	0.6422	0.7847	0.3675	0.3675	None
0.885	19.0	7429	0.6404	0.787	0.3643	0.3643	None
0.8848	20.0	7820	0.6432	0.7847	0.3674	0.3674	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