unlearn_cifar100_resnet-50_random_label_4_87

jialicheng/unlearn_cifar100_resnet-50_random_label_4_87

unlearn_cifar100_resnet-50_random_label_4_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: 3183e197

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: 0.5934
Accuracy: 0.8424
Dt Accuracy: 0.8424
Df Accuracy: 0.7985
Unlearn Overall Accuracy: 0.3486
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	0.6260	0.8685	0.2473	0.2473	None
1.3224	2.0	782	0.6064	0.8675	0.2492	0.2492	None
1.2153	3.0	1173	0.6003	0.8645	0.2538	0.2538	None
1.1425	4.0	1564	0.5955	0.8685	0.2479	0.2479	None
1.1425	5.0	1955	0.6001	0.876	0.2363	0.2363	None
1.0759	6.0	2346	0.5981	0.874	0.2394	0.2394	None
1.0187	7.0	2737	0.5843	0.8705	0.2447	0.2447	None
0.9871	8.0	3128	0.5862	0.862	0.2577	0.2577	None
0.9458	9.0	3519	0.5854	0.8595	0.2614	0.2614	None
0.9458	10.0	3910	0.5883	0.859	0.2621	0.2621	None
0.917	11.0	4301	0.5885	0.8515	0.2734	0.2734	None
0.892	12.0	4692	0.5944	0.833	0.3005	0.3005	None
0.8731	13.0	5083	0.5889	0.8235	0.3139	0.3139	None
0.8731	14.0	5474	0.5928	0.8165	0.3238	0.3238	None
0.8403	15.0	5865	0.5925	0.8185	0.3209	0.3209	None
0.8267	16.0	6256	0.5933	0.807	0.3370	0.3370	None
0.8141	17.0	6647	0.5981	0.7995	0.3471	0.3471	None
0.8041	18.0	7038	0.5942	0.7985	0.3485	0.3485	None
0.8041	19.0	7429	0.5934	0.7995	0.3471	0.3471	None
0.7867	20.0	7820	0.5934	0.7985	0.3486	0.3486	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