unlearn-so_cifar10_resnet-50_neggrad_10_100 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn-so_cifar10_resnet-50_neggrad_10_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 cifar10 dataset. It achieves the following results on the evaluation set:

Loss: -12.9780
Accuracy: 0.0883
Dt Accuracy: 0.0883
Df Accuracy: 0.0906
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	40	-0.2389	0.9392	0.2755	0.2755	None
No log	2.0	80	-2.1154	0.6702	0.5315	0.5315	None
No log	3.0	120	-4.4099	0.452	0	0	None
No log	4.0	160	-6.8001	0.254	0	0	None
No log	5.0	200	-8.2901	0.1774	0	0	None
No log	6.0	240	-9.7030	0.1256	0	0	None
No log	7.0	280	-11.1174	0.105	0	0	None
No log	8.0	320	-12.3798	0.0952	0	0	None
No log	9.0	360	-12.0790	0.0904	0	0	None
No log	10.0	400	-12.9780	0.0906	0	0	None

Framework versions

Transformers 4.37.2
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2