unlearn_cifar10_resnet-34_salun_10_87 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn_cifar10_resnet-34_salun_10_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: 0.2286
Accuracy: 0.9589
Dt Accuracy: 0.9589
Df Accuracy: 0.8832
Unlearn Overall Accuracy: 0.3558
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	0.2741	0.885	0.3526	0.3526	None
0.6793	2.0	782	0.2483	0.8932	0.3418	0.3418	None
0.6153	3.0	1173	0.2483	0.893	0.3424	0.3424	None
0.5874	4.0	1564	0.2337	0.895	0.3394	0.3394	None
0.5874	5.0	1955	0.2403	0.8956	0.3388	0.3388	None
0.5647	6.0	2346	0.2336	0.894	0.3411	0.3411	None
0.536	7.0	2737	0.2306	0.8984	0.3351	0.3351	None
0.5166	8.0	3128	0.2344	0.8878	0.3496	0.3496	None
0.4983	9.0	3519	0.2262	0.8756	0.3661	0.3661	None
0.4983	10.0	3910	0.2286	0.8832	0.3558	0.3558	None

Framework versions

Transformers 4.37.2
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2