unlearn_cifar10_resnet-50_salun_6_87 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn_cifar10_resnet-50_salun_6_87

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image-classification

generated_from_trainer

microsoft/resnet-50

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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: 0.1585
Accuracy: 0.9663
Dt Accuracy: 0.9663
Df Accuracy: 0.8923
Unlearn Overall Accuracy: 0.3438
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	0.1512	0.8807	0.3595	0.3595	None
0.6275	2.0	782	0.1592	0.8857	0.3528	0.3528	None
0.5623	3.0	1173	0.1614	0.8893	0.3479	0.3479	None
0.5389	4.0	1564	0.1611	0.8943	0.3409	0.3409	None
0.5389	5.0	1955	0.1601	0.8963	0.3383	0.3383	None
0.5329	6.0	2346	0.1562	0.8963	0.3383	0.3383	None
0.5108	7.0	2737	0.1543	0.8923	0.3439	0.3439	None
0.5143	8.0	3128	0.1649	0.897	0.3374	0.3374	None
0.5112	9.0	3519	0.1591	0.897	0.3374	0.3374	None
0.5112	10.0	3910	0.1585	0.8923	0.3438	0.3438	None

Framework versions

Transformers 4.37.2
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2