unlearn_cifar100_resnet-50_bad_teaching_2_42

jialicheng/unlearn_cifar100_resnet-50_bad_teaching_2_42

unlearn_cifar100_resnet-50_bad_teaching_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: fc152cf1

Base models

microsoft/resnet-50

Model card

From the Hugging Face model README

42

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: 11.4359
Accuracy: 0.0422
Dt Accuracy: 0.0422
Df Accuracy: 0.048
Unlearn Overall Accuracy: 0
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: 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
No log	1.0	16	0.7859	0.861	0.2577	0.2577	None
No log	2.0	32	1.2914	0.737	0.4146	0.4146	None
No log	3.0	48	1.9735	0.625	0	0	None
No log	4.0	64	2.5764	0.548	0	0	None
No log	5.0	80	3.5445	0.438	0	0	None
No log	6.0	96	4.2391	0.373	0	0	None
No log	7.0	112	5.2454	0.269	0	0	None
No log	8.0	128	5.9522	0.215	0	0	None
No log	9.0	144	8.1388	0.153	0	0	None
No log	10.0	160	8.8392	0.125	0	0	None
No log	11.0	176	9.3327	0.124	0	0	None
No log	12.0	192	11.4621	0.093	0	0	None
No log	13.0	208	12.0007	0.088	0	0	None
No log	14.0	224	10.7472	0.063	0	0	None
No log	15.0	240	10.6376	0.062	0	0	None
No log	16.0	256	11.4338	0.054	0	0	None
No log	17.0	272	12.3889	0.047	0	0	None
No log	18.0	288	11.6344	0.049	0	0	None
No log	19.0	304	11.7747	0.048	0	0	None
No log	20.0	320	11.4359	0.048	0	0	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