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jialicheng/
unlearn_cifar10_swin-base_random_label_10_42

Name: unlearn_cifar10_swin-base_random_label_10_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: 0.1491
Accuracy: 0.955
Dt Accuracy: 0.955
Df Accuracy: 0.0716
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: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Overall Accuracy	Unlearn Overall Accuracy	Time
No log	1.0	391	0.1616	0.9936	0.1922	0.1922	None
0.5151	2.0	782	0.1771	0.993	0.1933	0.1933	None
0.4701	3.0	1173	0.1557	0.992	0.1949	0.1949	None
0.4571	4.0	1564	0.1684	0.9694	0.2309	0.2309	None
0.4571	5.0	1955	0.1563	0.9234	0.2998	0.2998	None
0.4361	6.0	2346	0.1517	0.8706	0.3725	0.3725	None
0.412	7.0	2737	0.1628	0.7526	0.5134	0.5134	None
0.3885	8.0	3128	0.1574	0.6636	0.6035	0.6035	None
0.358	9.0	3519	0.1777	0.525	0.7223	0.7223	None
0.358	10.0	3910	0.1571	0.4664	0.7672	0.7672	None
0.3292	11.0	4301	0.1713	0.3358	0.8520	0.8520	None
0.3045	12.0	4692	0.1495	0.3064	0.8730	0.8730	None
0.2834	13.0	5083	0.1658	0.218	0.9199	0.9199	None
0.2834	14.0	5474	0.1727	0.1562	0.9487	0.9487	None
0.2633	15.0	5865	0.1536	0.1438	0.9598	0.9598	None
0.2416	16.0	6256	0.1573	0.112	0.9738	0.9738	None
0.2271	17.0	6647	0.1546	0.086	0.9746	0.9746	None
0.215	18.0	7038	0.1630	0.068	0	0	None
0.215	19.0	7429	0.1506	0.073	0	0	None
0.2063	20.0	7820	0.1491	0.0716	0	0	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_random_label_10_42

42

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jialicheng/
unlearn_cifar10_swin-base_random_label_10_42