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jialicheng/
unlearn_cifar10_swin-base_random_label_6_42

Name: unlearn_cifar10_swin-base_random_label_6_42
Availability: InStock

generated_from_trainer

microsoft/swin-base-patch4-window7-224

finetune

apache-2.0

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42

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: 0.0965
Accuracy: 0.9745
Dt Accuracy: 0.9745
Df Accuracy: 0.0567
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: 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	391	0.1153	0.9953	0.1894	0.1894	None
0.407	2.0	782	0.0967	0.9957	0.1889	0.1889	None
0.3753	3.0	1173	0.1128	0.983	0.2093	0.2093	None
0.3655	4.0	1564	0.1159	0.966	0.2362	0.2362	None
0.3655	5.0	1955	0.1133	0.901	0.3315	0.3315	None
0.3394	6.0	2346	0.1046	0.849	0.4006	0.4006	None
0.3194	7.0	2737	0.1168	0.729	0.5395	0.5395	None
0.3056	8.0	3128	0.1123	0.652	0.6164	0.6164	None
0.283	9.0	3519	0.1332	0.5067	0.7403	0.7403	None
0.283	10.0	3910	0.1195	0.4137	0.8074	0.8074	None
0.2567	11.0	4301	0.1115	0.3313	0.8616	0.8616	None
0.2395	12.0	4692	0.1097	0.2663	0.9014	0.9014	None
0.2199	13.0	5083	0.1053	0.224	0.9270	0.9270	None
0.2199	14.0	5474	0.1074	0.1527	0.9639	0.9639	None
0.204	15.0	5865	0.1057	0.115	0.9839	0.9839	None
0.1897	16.0	6256	0.1041	0.1007	0.9906	0.9906	None
0.1769	17.0	6647	0.0970	0.0847	0.9846	0.9846	None
0.1689	18.0	7038	0.1051	0.0593	0	0	None
0.1689	19.0	7429	0.0971	0.058	0	0	None
0.1627	20.0	7820	0.0965	0.0567	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_6_42

42

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jialicheng/
unlearn_cifar10_swin-base_random_label_6_42