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jialicheng/
unlearn_cifar100_swin-base_bad_teaching_10_42

Name: unlearn_cifar100_swin-base_bad_teaching_10_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 cifar100 dataset. It achieves the following results on the evaluation set:

Loss: 58.5879
Accuracy: 0.1421
Dt Accuracy: 0.1421
Df Accuracy: 0.1096
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: 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	Time
No log	1.0	79	2.2789	0.6308	None
No log	2.0	158	4.9744	0.4682	None
No log	3.0	237	6.6892	0.3992	None
No log	4.0	316	8.7248	0.3638	None
No log	5.0	395	12.1935	0.2998	None
No log	6.0	474	15.0919	0.2652	None
0.0	7.0	553	17.4680	0.2386	None
0.0	8.0	632	19.4406	0.2336	None
0.0	9.0	711	26.9340	0.1836	None
0.0	10.0	790	25.3169	0.1942	None
0.0	11.0	869	28.7718	0.1522	None
0.0	12.0	948	28.5182	0.168	None
0.0	13.0	1027	36.5133	0.1482	None
0.0	14.0	1106	37.5084	0.1488	None
0.0	15.0	1185	41.3742	0.1416	None
0.0	16.0	1264	43.6172	0.136	None
0.0	17.0	1343	42.2622	0.1266	None
0.0	18.0	1422	51.8792	0.12	None
0.0	19.0	1501	49.8191	0.1228	None
0.0	20.0	1580	58.5879	0.1096	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_10_42

42

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jialicheng/
unlearn_cifar100_swin-base_bad_teaching_10_42