unlearn_cifar10_resnet-34_salun_8_87 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn_cifar10_resnet-34_salun_8_87

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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: 0.1969
Accuracy: 0.9608
Dt Accuracy: 0.9608
Df Accuracy: 0.8845
Unlearn Overall Accuracy: 0.3542
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: 87
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	0.2492	0.891	0.3445	0.3445	None
0.6224	2.0	782	0.2194	0.8882	0.3487	0.3487	None
0.5666	3.0	1173	0.2235	0.891	0.3451	0.3451	None
0.5404	4.0	1564	0.1952	0.8965	0.3378	0.3378	None
0.5404	5.0	1955	0.1955	0.8858	0.3525	0.3525	None
0.5158	6.0	2346	0.2044	0.9008	0.3320	0.3320	None
0.4909	7.0	2737	0.2044	0.8872	0.3505	0.3505	None
0.4699	8.0	3128	0.2065	0.8922	0.3436	0.3436	None
0.4527	9.0	3519	0.1956	0.8815	0.3583	0.3583	None
0.4527	10.0	3910	0.1969	0.8845	0.3542	0.3542	None

Framework versions

Transformers 4.37.2
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2