unlearn-so_cifar10_resnet-50_neggrad_2_42 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn-so_cifar10_resnet-50_neggrad_2_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: -0.1888
Accuracy: 0.9439
Dt Accuracy: 0.9439
Df Accuracy: 0.932
Unlearn Overall Accuracy: 0.2867
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: 5e-05
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	8	-0.1075	0.986	0.2046	0.2046	None
No log	2.0	16	-0.1125	0.984	0.2078	0.2078	None
No log	3.0	24	-0.1198	0.977	0.2189	0.2189	None
No log	4.0	32	-0.1308	0.968	0.2330	0.2330	None
No log	5.0	40	-0.1460	0.96	0.2453	0.2453	None
No log	6.0	48	-0.1573	0.954	0.2543	0.2543	None
No log	7.0	56	-0.1721	0.944	0.2692	0.2692	None
No log	8.0	64	-0.1820	0.936	0.2809	0.2809	None
No log	9.0	72	-0.1933	0.929	0.2910	0.2910	None
No log	10.0	80	-0.1888	0.932	0.2867	0.2867	None

Framework versions

Transformers 4.37.2
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2