unlearn_cifar10_resnet-50_salun_4_87 – AI Model by jialicheng | AlphaNeural AI

You can deploy this model and start earning money today!

jialicheng/
unlearn_cifar10_resnet-50_salun_4_87

like

0

image-classification

generated_from_trainer

microsoft/resnet-50

Views

No views yet

87

This model is a fine-tuned version of microsoft/resnet-50 on the cifar10 dataset. It achieves the following results on the evaluation set:

Loss: 0.1382
Accuracy: 0.9668
Dt Accuracy: 0.9668
Df Accuracy: 0.8945
Unlearn Overall Accuracy: 0.3409
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	391	0.1319	0.8815	0.3584	0.3584	None
0.5406	2.0	782	0.1375	0.88	0.3604	0.3604	None
0.4989	3.0	1173	0.1368	0.884	0.3553	0.3553	None
0.4803	4.0	1564	0.1421	0.882	0.3578	0.3578	None
0.4803	5.0	1955	0.1366	0.884	0.3552	0.3552	None
0.4738	6.0	2346	0.1370	0.887	0.3511	0.3511	None
0.4608	7.0	2737	0.1377	0.8875	0.3504	0.3504	None
0.4555	8.0	3128	0.1389	0.879	0.3620	0.3620	None
0.4521	9.0	3519	0.1396	0.886	0.3525	0.3525	None
0.4521	10.0	3910	0.1382	0.8945	0.3409	0.3409	None

Framework versions

Transformers 4.37.2
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2