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jialicheng/
unlearn_cifar10_swin-base_random_label_8_87

Name: unlearn_cifar10_swin-base_random_label_8_87
Availability: InStock

generated_from_trainer

microsoft/swin-base-patch4-window7-224

finetune

apache-2.0

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87

This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224 on the cifar10 dataset. It achieves the following results on the evaluation set:

Loss: 0.1175
Accuracy: 0.9645
Dt Accuracy: 0.9645
Df Accuracy: 0.07
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: 5e-05
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	0.1520	0.9948	0.1903	0.1903	None
0.4727	2.0	782	0.1498	0.994	0.1916	0.1916	None
0.4302	3.0	1173	0.1352	0.9818	0.2114	0.2114	None
0.4098	4.0	1564	0.1215	0.9692	0.2312	0.2312	None
0.4098	5.0	1955	0.1385	0.9157	0.3108	0.3108	None
0.3884	6.0	2346	0.1558	0.8355	0.4174	0.4174	None
0.3674	7.0	2737	0.1504	0.7348	0.5328	0.5328	None
0.3438	8.0	3128	0.1684	0.587	0.6723	0.6723	None
0.323	9.0	3519	0.1612	0.4768	0.7596	0.7596	None
0.323	10.0	3910	0.1490	0.3935	0.8188	0.8188	None
0.2988	11.0	4301	0.1415	0.3422	0.8514	0.8514	None
0.2692	12.0	4692	0.1380	0.2657	0.8977	0.8977	None
0.2539	13.0	5083	0.1405	0.1983	0.9354	0.9354	None
0.2539	14.0	5474	0.1194	0.1983	0.9382	0.9382	None
0.2365	15.0	5865	0.1213	0.1505	0.9622	0.9622	None
0.2149	16.0	6256	0.1233	0.1085	0.9826	0.9826	None
0.2053	17.0	6647	0.1237	0.0917	0.9818	0.9818	None
0.1931	18.0	7038	0.1246	0.0732	0	0	None
0.1931	19.0	7429	0.1192	0.0755	0	0	None
0.1868	20.0	7820	0.1175	0.07	0	0	None

Framework versions

Transformers 4.37.2
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2

jialicheng/unlearn_cifar10_swin-base_random_label_8_87

87

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jialicheng/
unlearn_cifar10_swin-base_random_label_8_87