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jialicheng/
unlearn_cifar100_swin-base_random_label_4_42

Name: unlearn_cifar100_swin-base_random_label_4_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: 0.3410
Accuracy: 0.9174
Dt Accuracy: 0.9174
Df Accuracy: 0.381
Unlearn Overall Accuracy: 0.4160
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
0.9711	1.0	391	0.4050	0.917	0.1537	0.1537	None
0.8672	2.0	782	0.3663	0.9175	0.1537	0.1537	None
0.7969	3.0	1173	0.3551	0.885	0.1763	0.1763	None
0.7222	4.0	1564	0.3826	0.798	0.2304	0.2304	None
0.6411	5.0	1955	0.3555	0.745	0.2605	0.2605	None
0.5803	6.0	2346	0.3580	0.6495	0.3088	0.3088	None
0.5138	7.0	2737	0.3436	0.552	0.3520	0.3520	None
0.4927	8.0	3128	0.3561	0.433	0.3972	0.3972	None
0.4468	9.0	3519	0.3412	0.409	0.4068	0.4068	None
0.4187	10.0	3910	0.3410	0.381	0.4160	0.4160	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_random_label_4_42

42

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jialicheng/
unlearn_cifar100_swin-base_random_label_4_42