unlearn-so_cifar10_resnet-50_neggrad_6_42 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn-so_cifar10_resnet-50_neggrad_6_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: -5.3942
Accuracy: 0.5338
Dt Accuracy: 0.5338
Df Accuracy: 0.5387
Unlearn Overall Accuracy: 0
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	24	-0.1316	0.9787	0.2163	0.2163	None
No log	2.0	48	-0.2809	0.9363	0.2796	0.2796	None
No log	3.0	72	-0.9670	0.8253	0.4166	0.4166	None
No log	4.0	96	-2.0953	0.7357	0.4946	0.4946	None
No log	5.0	120	-3.1832	0.6693	0.5334	0.5334	None
No log	6.0	144	-4.0033	0.6217	0.5528	0.5528	None
No log	7.0	168	-4.7630	0.5853	0.5603	0.5603	None
No log	8.0	192	-4.9921	0.5563	0	0	None
No log	9.0	216	-5.3239	0.5447	0	0	None
No log	10.0	240	-5.3942	0.5387	0	0	None

Framework versions

Transformers 4.37.2
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2