unlearn_cifar10_resnet-34_random_label_2_42

jialicheng/unlearn_cifar10_resnet-34_random_label_2_42

unlearn_cifar10_resnet-34_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. --

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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: 5ad1f068

Base models

microsoft/resnet-34

Model card

From the Hugging Face model README

42

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: 0.2295
Accuracy: 0.932
Dt Accuracy: 0.932
Df Accuracy: 0.857
Unlearn Overall Accuracy: 0.3882
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: 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
1.3071	1.0	1563	0.9021	0.664	0	0	None
1.0605	2.0	3126	0.6188	0.759	0.4820	0.4820	None
0.9232	3.0	4689	0.5637	0.78	0.4638	0.4638	None
0.8288	4.0	6252	0.4544	0.836	0.4062	0.4062	None
0.7657	5.0	7815	0.4087	0.846	0.3957	0.3957	None
0.7128	6.0	9378	0.3632	0.861	0.3791	0.3791	None
0.6764	7.0	10941	0.3521	0.872	0.3653	0.3653	None
0.6419	8.0	12504	0.3354	0.884	0.3502	0.3502	None
0.6108	9.0	14067	0.2890	0.895	0.3364	0.3364	None
0.5749	10.0	15630	0.2841	0.892	0.3407	0.3407	None
0.554	11.0	17193	0.2794	0.893	0.3396	0.3396	None
0.5309	12.0	18756	0.2615	0.901	0.3290	0.3290	None
0.5065	13.0	20319	0.2496	0.906	0.3224	0.3224	None
0.4798	14.0	21882	0.2532	0.893	0.3403	0.3403	None
0.469	15.0	23445	0.2496	0.894	0.3391	0.3391	None
0.4373	16.0	25008	0.2338	0.904	0.3256	0.3256	None
0.4242	17.0	26571	0.2514	0.854	0.3914	0.3914	None
0.4149	18.0	28134	0.2415	0.856	0.3891	0.3891	None
0.3832	19.0	29697	0.2304	0.867	0.3752	0.3752	None
0.3754	20.0	31260	0.2295	0.857	0.3882	0.3882	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