unlearn_cifar10_resnet-50_salun_10_87 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn_cifar10_resnet-50_salun_10_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: 0.2027
Accuracy: 0.9667
Dt Accuracy: 0.9667
Df Accuracy: 0.8962
Unlearn Overall Accuracy: 0.3386
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	0.2009	0.8834	0.3556	0.3556	None
0.7596	2.0	782	0.2060	0.891	0.3455	0.3455	None
0.6523	3.0	1173	0.2100	0.8828	0.3566	0.3566	None
0.6378	4.0	1564	0.2034	0.8912	0.3453	0.3453	None
0.6378	5.0	1955	0.1995	0.89	0.3471	0.3471	None
0.6217	6.0	2346	0.1999	0.89	0.3469	0.3469	None
0.6091	7.0	2737	0.2018	0.8944	0.3411	0.3411	None
0.608	8.0	3128	0.2066	0.8924	0.3437	0.3437	None
0.603	9.0	3519	0.2033	0.8934	0.3424	0.3424	None
0.603	10.0	3910	0.2027	0.8962	0.3386	0.3386	None

Framework versions

Transformers 4.37.2
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2