unlearn_cifar10_resnet-50_salun_6_42 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn_cifar10_resnet-50_salun_6_42

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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: 0.1586
Accuracy: 0.9676
Dt Accuracy: 0.9676
Df Accuracy: 0.892
Unlearn Overall Accuracy: 0.3444
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: 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	Overall Accuracy	Unlearn Overall Accuracy	Time
No log	1.0	391	0.1534	0.888	0.3495	0.3495	None
0.6247	2.0	782	0.1545	0.8907	0.3460	0.3460	None
0.5543	3.0	1173	0.1605	0.8977	0.3364	0.3364	None
0.5457	4.0	1564	0.1619	0.8883	0.3493	0.3493	None
0.5457	5.0	1955	0.1603	0.885	0.3539	0.3539	None
0.5254	6.0	2346	0.1592	0.8797	0.3611	0.3611	None
0.5156	7.0	2737	0.1636	0.889	0.3484	0.3484	None
0.5184	8.0	3128	0.1605	0.8883	0.3493	0.3493	None
0.5076	9.0	3519	0.1608	0.8887	0.3489	0.3489	None
0.5076	10.0	3910	0.1586	0.892	0.3444	0.3444	None

Framework versions

Transformers 4.37.2
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2