unlearn-so_cifar100_resnet-50_neggrad_2_87 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn-so_cifar100_resnet-50_neggrad_2_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 cifar100 dataset. It achieves the following results on the evaluation set:

Loss: -0.8361
Accuracy: 0.7556
Dt Accuracy: 0.7556
Df Accuracy: 0.754
Unlearn Overall Accuracy: 0.4008
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: 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	8	-0.5763	0.9	0.1981	0.1981	None
No log	2.0	16	-0.5907	0.874	0.2392	0.2392	None
No log	3.0	24	-0.6156	0.859	0.2618	0.2618	None
No log	4.0	32	-0.6511	0.834	0.2981	0.2981	None
No log	5.0	40	-0.6951	0.814	0.3255	0.3255	None
No log	6.0	48	-0.7433	0.793	0.3532	0.3532	None
No log	7.0	56	-0.7815	0.77	0.3821	0.3821	None
No log	8.0	64	-0.8203	0.757	0.3975	0.3975	None
No log	9.0	72	-0.8335	0.755	0.3997	0.3997	None
No log	10.0	80	-0.8361	0.754	0.4008	0.4008	None

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu118
Datasets 2.19.0
Tokenizers 0.15.2