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jialicheng/
unlearn_cifar100_swin-base_salun_2_87

Name: unlearn_cifar100_swin-base_salun_2_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 cifar100 dataset. It achieves the following results on the evaluation set:

Loss: 0.3707
Accuracy: 0.9115
Dt Accuracy: 0.9115
Df Accuracy: 0.232
Unlearn Overall Accuracy: 0.8679
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: 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	0.4183	0.762	0.3933	0.3933	None
1.0394	2.0	782	0.3991	0.783	0.3669	0.3669	None
0.9174	3.0	1173	0.3791	0.77	0.3841	0.3841	None
0.8245	4.0	1564	0.4041	0.766	0.3894	0.3894	None
0.8245	5.0	1955	0.3977	0.749	0.4108	0.4108	None
0.7506	6.0	2346	0.3935	0.723	0.4424	0.4424	None
0.6939	7.0	2737	0.3983	0.695	0.4749	0.4749	None
0.6305	8.0	3128	0.3955	0.621	0.5549	0.5549	None
0.5796	9.0	3519	0.4058	0.577	0.5984	0.5984	None
0.5796	10.0	3910	0.3975	0.545	0.6287	0.6287	None
0.5313	11.0	4301	0.3929	0.492	0.6761	0.6761	None
0.4908	12.0	4692	0.3807	0.433	0.7249	0.7249	None
0.4594	13.0	5083	0.3867	0.375	0.7690	0.7690	None
0.4594	14.0	5474	0.3988	0.37	0.7722	0.7722	None
0.4215	15.0	5865	0.3866	0.294	0.8269	0.8269	None
0.3982	16.0	6256	0.3807	0.248	0.8564	0.8564	None
0.3733	17.0	6647	0.3704	0.264	0.8472	0.8472	None
0.3467	18.0	7038	0.3731	0.232	0.8676	0.8676	None
0.3467	19.0	7429	0.3730	0.213	0.8794	0.8794	None
0.3289	20.0	7820	0.3707	0.232	0.8679	0.8679	None

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu118
Datasets 2.18.0
Tokenizers 0.15.2

jialicheng/unlearn_cifar100_swin-base_salun_2_87

87

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jialicheng/
unlearn_cifar100_swin-base_salun_2_87