unlearn-so_cifar10_resnet-50_neggrad_8_13 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn-so_cifar10_resnet-50_neggrad_8_13

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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: -11.0264
Accuracy: 0.0837
Dt Accuracy: 0.0837
Df Accuracy: 0.087
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: 13
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	32	-0.1638	0.9665	0.2350	0.2350	None
No log	2.0	64	-0.7806	0.8245	0.4152	0.4152	None
No log	3.0	96	-2.4212	0.5677	0	0	None
No log	4.0	128	-4.0318	0.3775	0	0	None
No log	5.0	160	-5.7104	0.2333	0	0	None
No log	6.0	192	-7.7014	0.1557	0	0	None
No log	7.0	224	-9.2223	0.1153	0	0	None
No log	8.0	256	-10.4204	0.0948	0	0	None
No log	9.0	288	-10.9499	0.089	0	0	None
No log	10.0	320	-11.0264	0.087	0	0	None

Framework versions

Transformers 4.37.2
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2