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jialicheng/
unlearn-cl_cifar10_swin-base_salun_4_42

Name: unlearn-cl_cifar10_swin-base_salun_4_42
Availability: InStock

generated_from_trainer

microsoft/swin-base-patch4-window7-224

finetune

apache-2.0

endpoints_compatible

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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: 0.0707
Accuracy: 0.9806
Dt Accuracy: 0.9806
Df Accuracy: 0.2005
Unlearn Overall Accuracy: 0.9424
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: 0.0001
train_batch_size: 128
eval_batch_size: 256
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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	0.0997	0.922	0.3017	0.3017	None
0.3703	2.0	782	0.0819	0.921	0.3033	0.3033	None
0.3417	3.0	1173	0.0923	0.9045	0.3265	0.3265	None
0.3331	4.0	1564	0.0942	0.92	0.3047	0.3047	None
0.3331	5.0	1955	0.0775	0.9	0.3329	0.3329	None
0.3113	6.0	2346	0.0880	0.875	0.3666	0.3666	None
0.2922	7.0	2737	0.0909	0.827	0.4281	0.4281	None
0.2702	8.0	3128	0.1071	0.733	0.5348	0.5348	None
0.252	9.0	3519	0.0846	0.6825	0.5874	0.5874	None
0.252	10.0	3910	0.0922	0.572	0.6876	0.6876	None
0.2293	11.0	4301	0.0830	0.535	0.7186	0.7186	None
0.212	12.0	4692	0.0838	0.4565	0.7785	0.7785	None
0.1932	13.0	5083	0.0782	0.44	0.7915	0.7915	None
0.1932	14.0	5474	0.0797	0.3145	0.8739	0.8739	None
0.1754	15.0	5865	0.0788	0.3125	0.8755	0.8755	None
0.1657	16.0	6256	0.0719	0.2585	0.9086	0.9086	None
0.146	17.0	6647	0.0778	0.238	0.9201	0.9201	None
0.1396	18.0	7038	0.0723	0.2055	0.9392	0.9392	None
0.1396	19.0	7429	0.0710	0.202	0.9410	0.9410	None
0.1302	20.0	7820	0.0707	0.2005	0.9424	0.9424	None

Framework versions

Transformers 4.48.0
Pytorch 2.2.2+cu118
Datasets 3.2.0
Tokenizers 0.21.0

jialicheng/unlearn-cl_cifar10_swin-base_salun_4_42

42

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jialicheng/
unlearn-cl_cifar10_swin-base_salun_4_42