unlearn_cifar10_resnet-34_salun_2_42 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn_cifar10_resnet-34_salun_2_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: 0.1369
Accuracy: 0.9625
Dt Accuracy: 0.9625
Df Accuracy: 0.852
Unlearn Overall Accuracy: 0.3970
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	0.1736	0.877	0.3635	0.3635	None
0.417	2.0	782	0.1509	0.877	0.3639	0.3639	None
0.3925	3.0	1173	0.1625	0.864	0.3810	0.3810	None
0.3756	4.0	1564	0.1583	0.864	0.3812	0.3812	None
0.3756	5.0	1955	0.1416	0.877	0.3643	0.3643	None
0.3527	6.0	2346	0.1461	0.869	0.3748	0.3748	None
0.3222	7.0	2737	0.1411	0.881	0.3590	0.3590	None
0.3072	8.0	3128	0.1384	0.863	0.3829	0.3829	None
0.2954	9.0	3519	0.1382	0.845	0.4059	0.4059	None
0.2954	10.0	3910	0.1369	0.852	0.3970	0.3970	None

Framework versions

Transformers 4.37.2
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2