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jialicheng/
unlearn_cifar100_swin-base_bad_teaching_6_87

Name: unlearn_cifar100_swin-base_bad_teaching_6_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: 31.8912
Accuracy: 0.1549
Dt Accuracy: 0.1549
Df Accuracy: 0.129
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: 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	Time
No log	1.0	47	1.7923	0.6683	None
No log	2.0	94	2.9288	0.5933	None
No log	3.0	141	4.3632	0.501	None
No log	4.0	188	5.7233	0.4307	None
No log	5.0	235	8.0229	0.337	None
No log	6.0	282	9.1625	0.3093	None
No log	7.0	329	10.2969	0.29	None
No log	8.0	376	12.4993	0.2543	None
No log	9.0	423	12.8696	0.226	None
No log	10.0	470	16.9163	0.193	None
0.0	11.0	517	15.8142	0.2147	None
0.0	12.0	564	19.5163	0.1803	None
0.0	13.0	611	21.9126	0.166	None
0.0	14.0	658	21.9236	0.1757	None
0.0	15.0	705	21.8337	0.1727	None
0.0	16.0	752	25.1723	0.1467	None
0.0	17.0	799	27.3784	0.1337	None
0.0	18.0	846	28.0429	0.1367	None
0.0	19.0	893	30.5227	0.1303	None
0.0	20.0	940	31.8912	0.129	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_bad_teaching_6_87

87

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jialicheng/
unlearn_cifar100_swin-base_bad_teaching_6_87