unlearn_cifar10_resnet-34_salun_2_87 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn_cifar10_resnet-34_salun_2_87

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image-classification

generated_from_trainer

microsoft/resnet-34

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This model is a fine-tuned version of microsoft/resnet-34 on the cifar10 dataset. It achieves the following results on the evaluation set:

Loss: 0.1323
Accuracy: 0.9641
Dt Accuracy: 0.9641
Df Accuracy: 0.859
Unlearn Overall Accuracy: 0.3881
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	0.1765	0.869	0.3739	0.3739	None
0.4192	2.0	782	0.1503	0.892	0.3437	0.3437	None
0.3954	3.0	1173	0.1434	0.887	0.3506	0.3506	None
0.3685	4.0	1564	0.1434	0.873	0.3695	0.3695	None
0.3685	5.0	1955	0.1514	0.874	0.3680	0.3680	None
0.3482	6.0	2346	0.1455	0.863	0.3827	0.3827	None
0.3226	7.0	2737	0.1410	0.828	0.4272	0.4272	None
0.3044	8.0	3128	0.1409	0.85	0.3996	0.3996	None
0.2927	9.0	3519	0.1344	0.848	0.4022	0.4022	None
0.2927	10.0	3910	0.1323	0.859	0.3881	0.3881	None

Framework versions

Transformers 4.37.2
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2