unlearn-so_cifar10_resnet-50_neggrad_4_42 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn-so_cifar10_resnet-50_neggrad_4_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: -1.8776
Accuracy: 0.6383
Dt Accuracy: 0.6383
Df Accuracy: 0.617
Unlearn Overall Accuracy: 0.5617
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	16	-0.1324	0.9705	0.2290	0.2290	None
No log	2.0	32	-0.1882	0.951	0.2585	0.2585	None
No log	3.0	48	-0.3120	0.911	0.3150	0.3150	None
No log	4.0	64	-0.5466	0.853	0.3868	0.3868	None
No log	5.0	80	-0.8522	0.7885	0.4525	0.4525	None
No log	6.0	96	-1.1810	0.7305	0.5005	0.5005	None
No log	7.0	112	-1.5182	0.6755	0.5341	0.5341	None
No log	8.0	128	-1.6919	0.648	0.5487	0.5487	None
No log	9.0	144	-1.8480	0.626	0.5579	0.5579	None
No log	10.0	160	-1.8776	0.617	0.5617	0.5617	None

Framework versions

Transformers 4.37.2
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2