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jialicheng/
unlearn-so_cifar100_swin-base_neggrad_6_42

Name: unlearn-so_cifar100_swin-base_neggrad_6_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: -56.0905
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: 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	Time
No log	1.0	24	-44.7734	0.01	None
No log	2.0	48	-47.1985	0.01	None
No log	3.0	72	-49.1940	0.01	None
No log	4.0	96	-50.9518	0.01	None
-43.1079	5.0	120	-52.4569	0.01	None
-43.1079	6.0	144	-53.7370	0.01	None
-43.1079	7.0	168	-54.7327	0.01	None
-43.1079	8.0	192	-55.4730	0.01	None
-53.768	9.0	216	-55.9279	0.01	None
-53.768	10.0	240	-56.0905	0.01	None

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu118
Datasets 2.19.0
Tokenizers 0.15.2

jialicheng/unlearn-so_cifar100_swin-base_neggrad_6_42

42

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jialicheng/
unlearn-so_cifar100_swin-base_neggrad_6_42