unlearn_cifar10_resnet-50_bad_teaching_6_87 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn_cifar10_resnet-50_bad_teaching_6_87

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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: 2.6588
Accuracy: 0.8117
Dt Accuracy: 0.8117
Df Accuracy: 0.82
Unlearn Overall Accuracy: 0.4205
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	47	0.1830	0.9733	0.2246	0.2246	None
No log	2.0	94	0.2905	0.9547	0.2530	0.2530	None
No log	3.0	141	0.4986	0.9363	0.2795	0.2795	None
No log	4.0	188	0.7269	0.9183	0.3046	0.3046	None
No log	5.0	235	1.1557	0.8923	0.3385	0.3385	None
No log	6.0	282	1.4587	0.8763	0.3581	0.3581	None
No log	7.0	329	2.1115	0.84	0.4001	0.4001	None
No log	8.0	376	2.4536	0.834	0.4056	0.4056	None
No log	9.0	423	2.5002	0.8287	0.4115	0.4115	None
No log	10.0	470	2.6588	0.82	0.4205	0.4205	None

Framework versions

Transformers 4.37.2
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2