unlearn_cifar10_resnet-34_random_label_8_87

jialicheng/unlearn_cifar10_resnet-34_random_label_8_87

unlearn_cifar10_resnet-34_random_label_8_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: 3378864a

Base models

microsoft/resnet-34

Model card

From the Hugging Face model README

87

This model is a fine-tuned version of microsoft/resnet-34 on the cifar10 dataset. It achieves the following results on the evaluation set:

Loss: 0.2850
Accuracy: 0.9308
Dt Accuracy: 0.9308
Df Accuracy: 0.9025
Unlearn Overall Accuracy: 0.3278
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: 32
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
1.4434	1.0	1563	1.0096	0.6615	0	0	None
1.2166	2.0	3126	0.8966	0.7105	0	0	None
1.0902	3.0	4689	0.6084	0.8055	0.4362	0.4362	None
1.0199	4.0	6252	0.5597	0.8205	0.4213	0.4213	None
0.9506	5.0	7815	0.5209	0.8498	0.3895	0.3895	None
0.9107	6.0	9378	0.4494	0.876	0.3590	0.3590	None
0.8529	7.0	10941	0.4090	0.8862	0.3467	0.3467	None
0.8175	8.0	12504	0.4162	0.8845	0.3493	0.3493	None
0.7752	9.0	14067	0.3599	0.906	0.3213	0.3213	None
0.7666	10.0	15630	0.3676	0.893	0.3386	0.3386	None
0.7157	11.0	17193	0.3502	0.9002	0.3293	0.3293	None
0.7059	12.0	18756	0.3251	0.9157	0.3085	0.3085	None
0.6752	13.0	20319	0.3360	0.915	0.3093	0.3093	None
0.6533	14.0	21882	0.2984	0.9247	0.2960	0.2960	None
0.638	15.0	23445	0.3078	0.9215	0.3007	0.3007	None
0.6207	16.0	25008	0.3048	0.9157	0.3089	0.3089	None
0.5924	17.0	26571	0.3071	0.9042	0.3251	0.3251	None
0.5805	18.0	28134	0.2989	0.8992	0.3320	0.3320	None
0.5502	19.0	29697	0.2984	0.8935	0.3399	0.3399	None
0.5487	20.0	31260	0.2850	0.9025	0.3278	0.3278	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