unlearn_cifar10_resnet-34_salun_6_42 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn_cifar10_resnet-34_salun_6_42

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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: 0.1791
Accuracy: 0.9642
Dt Accuracy: 0.9642
Df Accuracy: 0.8813
Unlearn Overall Accuracy: 0.3586
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	0.2032	0.8853	0.3527	0.3527	None
0.5658	2.0	782	0.2033	0.884	0.3543	0.3543	None
0.515	3.0	1173	0.1988	0.895	0.3394	0.3394	None
0.4989	4.0	1564	0.1909	0.8873	0.3502	0.3502	None
0.4989	5.0	1955	0.1902	0.887	0.3507	0.3507	None
0.465	6.0	2346	0.1843	0.8867	0.3513	0.3513	None
0.4441	7.0	2737	0.1857	0.8847	0.3540	0.3540	None
0.4291	8.0	3128	0.1834	0.8747	0.3674	0.3674	None
0.4105	9.0	3519	0.1834	0.878	0.3630	0.3630	None
0.4105	10.0	3910	0.1791	0.8813	0.3586	0.3586	None

Framework versions

Transformers 4.37.2
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2