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jialicheng/
unlearn_cifar100_swin-base_neggrad_6_87

Name: unlearn_cifar100_swin-base_neggrad_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: -81.4563
Accuracy: 0.01
Dt Accuracy: 0.01
Df Accuracy: 0.01
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: 5e-05
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	24	-43.4854	0.01	None
No log	2.0	48	-47.6156	0.01	None
No log	3.0	72	-51.0125	0.01	None
No log	4.0	96	-54.2223	0.01	None
No log	5.0	120	-57.2887	0.01	None
No log	6.0	144	-60.2250	0.01	None
No log	7.0	168	-63.0074	0.01	None
No log	8.0	192	-65.6397	0.01	None
No log	9.0	216	-68.0949	0.01	None
No log	10.0	240	-70.3623	0.01	None
No log	11.0	264	-72.4465	0.01	None
No log	12.0	288	-74.3144	0.01	None
No log	13.0	312	-75.9804	0.01	None
No log	14.0	336	-77.4230	0.01	None
No log	15.0	360	-78.6542	0.01	None
No log	16.0	384	-79.6584	0.01	None
No log	17.0	408	-80.4411	0.01	None
No log	18.0	432	-81.0036	0.01	None
No log	19.0	456	-81.3418	0.01	None
No log	20.0	480	-81.4563	0.01	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_neggrad_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_neggrad_6_87