unlearn_cifar100_resnet-50_random_label_6_87

jialicheng/unlearn_cifar100_resnet-50_random_label_6_87

unlearn_cifar100_resnet-50_random_label_6_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: f299bec8

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: 0.6196
Accuracy: 0.8408
Dt Accuracy: 0.8408
Df Accuracy: 0.7967
Unlearn Overall Accuracy: 0.3512
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	0.6446	0.87	0.2451	0.2451	None
1.4361	2.0	782	0.6270	0.8753	0.2371	0.2371	None
1.2783	3.0	1173	0.6289	0.8753	0.2371	0.2371	None
1.1975	4.0	1564	0.6368	0.8767	0.2351	0.2351	None
1.1975	5.0	1955	0.6268	0.8817	0.2274	0.2274	None
1.1314	6.0	2346	0.6284	0.8697	0.2461	0.2461	None
1.0842	7.0	2737	0.6163	0.8713	0.2435	0.2435	None
1.0419	8.0	3128	0.6246	0.8667	0.2507	0.2507	None
1.0013	9.0	3519	0.6237	0.8643	0.2542	0.2542	None
1.0013	10.0	3910	0.6186	0.8587	0.2628	0.2628	None
0.9664	11.0	4301	0.6181	0.8487	0.2777	0.2777	None
0.9455	12.0	4692	0.6247	0.8347	0.2983	0.2983	None
0.9189	13.0	5083	0.6186	0.831	0.3035	0.3035	None
0.9189	14.0	5474	0.6141	0.823	0.3147	0.3147	None
0.8961	15.0	5865	0.6180	0.812	0.3301	0.3301	None
0.8792	16.0	6256	0.6159	0.8067	0.3375	0.3375	None
0.8627	17.0	6647	0.6214	0.7933	0.3557	0.3557	None
0.8507	18.0	7038	0.6187	0.7963	0.3517	0.3517	None
0.8507	19.0	7429	0.6166	0.802	0.3439	0.3439	None
0.8365	20.0	7820	0.6196	0.7967	0.3512	0.3512	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