unlearn_cifar10_resnet-34_random_label_2_87

jialicheng/unlearn_cifar10_resnet-34_random_label_2_87

unlearn_cifar10_resnet-34_random_label_2_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: 53be5d1c

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: 0.2142
Accuracy: 0.9357
Dt Accuracy: 0.9357
Df Accuracy: 0.855
Unlearn Overall Accuracy: 0.3910
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
1.2419	1.0	1563	0.8504	0.709	0	0	None
1.004	2.0	3126	0.6773	0.754	0	0	None
0.8867	3.0	4689	0.5046	0.814	0.4293	0.4293	None
0.8146	4.0	6252	0.4051	0.853	0.3872	0.3872	None
0.7453	5.0	7815	0.4094	0.855	0.3847	0.3847	None
0.6983	6.0	9378	0.3867	0.864	0.3746	0.3746	None
0.6529	7.0	10941	0.3244	0.874	0.3633	0.3633	None
0.6189	8.0	12504	0.3187	0.881	0.3545	0.3545	None
0.5905	9.0	14067	0.2792	0.893	0.3396	0.3396	None
0.5678	10.0	15630	0.2841	0.898	0.3327	0.3327	None
0.5235	11.0	17193	0.2685	0.894	0.3383	0.3383	None
0.5121	12.0	18756	0.2549	0.901	0.3291	0.3291	None
0.4924	13.0	20319	0.2520	0.892	0.3417	0.3417	None
0.4553	14.0	21882	0.2370	0.893	0.3405	0.3405	None
0.4462	15.0	23445	0.2404	0.883	0.3540	0.3540	None
0.426	16.0	25008	0.2240	0.869	0.3726	0.3726	None
0.4061	17.0	26571	0.2206	0.867	0.3754	0.3754	None
0.4012	18.0	28134	0.2147	0.869	0.3728	0.3728	None
0.3647	19.0	29697	0.2124	0.865	0.3782	0.3782	None
0.3704	20.0	31260	0.2142	0.855	0.3910	0.3910	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