unlearn-so_cifar100_resnet-50_neggrad_6_100 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn-so_cifar100_resnet-50_neggrad_6_100

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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 cifar100 dataset. It achieves the following results on the evaluation set:

Loss: -8.9740
Accuracy: 0.1573
Dt Accuracy: 0.1573
Df Accuracy: 0.16
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: 100
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	-0.6778	0.847	0.2791	0.2791	None
No log	2.0	48	-1.1224	0.745	0.4076	0.4076	None
No log	3.0	72	-2.0986	0.622	0.5156	0.5156	None
No log	4.0	96	-3.5271	0.4853	0	0	None
-2.31	5.0	120	-5.1412	0.371	0	0	None
-2.31	6.0	144	-6.5135	0.2747	0	0	None
-2.31	7.0	168	-7.8198	0.2163	0	0	None
-2.31	8.0	192	-8.5083	0.185	0	0	None
-8.5133	9.0	216	-9.1514	0.166	0	0	None
-8.5133	10.0	240	-8.9740	0.16	0	0	None

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu118
Datasets 2.19.0
Tokenizers 0.15.2