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jialicheng/
unlearn_cifar10_swin-base_bad_teaching_8_87

Name: unlearn_cifar10_swin-base_bad_teaching_8_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 cifar10 dataset. It achieves the following results on the evaluation set:

Loss: 0.4027
Accuracy: 0.9827
Dt Accuracy: 0.9827
Df Accuracy: 0.9888
Unlearn Overall Accuracy: 0.2001
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: 87
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	0.3384	0.9918	0.1951	0.1951	None
No log	2.0	126	0.4130	0.99	0.1980	0.1980	None
No log	3.0	189	0.3915	0.991	0.1964	0.1964	None
No log	4.0	252	0.4775	0.9898	0.1984	0.1984	None
No log	5.0	315	0.3969	0.992	0.1948	0.1948	None
No log	6.0	378	0.4710	0.9902	0.1976	0.1976	None
No log	7.0	441	0.3670	0.9915	0.1956	0.1956	None
0.0	8.0	504	0.3692	0.9892	0.1993	0.1993	None
0.0	9.0	567	0.3696	0.9895	0.1988	0.1988	None
0.0	10.0	630	0.4027	0.9888	0.2001	0.2001	None

Framework versions

Transformers 4.37.2
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2

jialicheng/unlearn_cifar10_swin-base_bad_teaching_8_87

87

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jialicheng/
unlearn_cifar10_swin-base_bad_teaching_8_87