unlearn_cifar10_resnet-50_salun_8_87 – AI Model by jialicheng | AlphaNeural AI

You can deploy this model and start earning money today!

jialicheng/
unlearn_cifar10_resnet-50_salun_8_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: 0.1826
Accuracy: 0.966
Dt Accuracy: 0.966
Df Accuracy: 0.891
Unlearn Overall Accuracy: 0.3457
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	0.1808	0.8932	0.3423	0.3423	None
0.6979	2.0	782	0.1759	0.8965	0.3380	0.3380	None
0.6083	3.0	1173	0.1942	0.8855	0.3530	0.3530	None
0.59	4.0	1564	0.1795	0.8915	0.3449	0.3449	None
0.59	5.0	1955	0.1821	0.8838	0.3555	0.3555	None
0.5761	6.0	2346	0.1815	0.898	0.3360	0.3360	None
0.5671	7.0	2737	0.1873	0.9015	0.3311	0.3311	None
0.5588	8.0	3128	0.1847	0.8925	0.3436	0.3436	None
0.5569	9.0	3519	0.1812	0.899	0.3346	0.3346	None
0.5569	10.0	3910	0.1826	0.891	0.3457	0.3457	None

Framework versions

Transformers 4.37.2
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2