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jialicheng/
unlearn-so_cifar10_swin-base_bad_teaching_8_42

Name: unlearn-so_cifar10_swin-base_bad_teaching_8_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: 0.9761
Accuracy: 0.9718
Dt Accuracy: 0.9718
Df Accuracy: 0.977
Unlearn Overall Accuracy: 0.2186
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Overall Accuracy	Unlearn Overall Accuracy	Time
No log	1.0	63	1.1194	0.9513	0.2574	0.2574	None
No log	2.0	126	1.6855	0.9557	0.2506	0.2506	None
No log	3.0	189	1.8063	0.957	0.2487	0.2487	None
No log	4.0	252	1.3950	0.971	0.2276	0.2276	None
No log	5.0	315	1.2619	0.9745	0.2222	0.2222	None
No log	6.0	378	1.5781	0.9698	0.2296	0.2296	None
No log	7.0	441	1.2843	0.9788	0.2157	0.2157	None
0.0	8.0	504	1.1021	0.9768	0.2189	0.2189	None
0.0	9.0	567	1.0176	0.9775	0.2178	0.2178	None
0.0	10.0	630	0.9761	0.977	0.2186	0.2186	None

Framework versions

Transformers 4.37.2
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2

jialicheng/unlearn-so_cifar10_swin-base_bad_teaching_8_42

42

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jialicheng/
unlearn-so_cifar10_swin-base_bad_teaching_8_42