unlearn_cifar10_resnet-34_neggrad_10_42 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn_cifar10_resnet-34_neggrad_10_42

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image-classification

generated_from_trainer

microsoft/resnet-34

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This model is a fine-tuned version of microsoft/resnet-34 on the cifar10 dataset. It achieves the following results on the evaluation set:

Loss: -8.6624
Accuracy: 0.2528
Dt Accuracy: 0.2528
Df Accuracy: 0.2624
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: 1e-05
train_batch_size: 128
eval_batch_size: 256
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Overall Accuracy	Unlearn Overall Accuracy	Time
No log	1.0	40	-0.1781	0.9858	0.2047	0.2047	None
No log	2.0	80	-0.9212	0.8588	0.3775	0.3775	None
No log	3.0	120	-2.4192	0.7352	0.4908	0.4908	None
No log	4.0	160	-3.2618	0.6086	0.5480	0.5480	None
No log	5.0	200	-4.1274	0.447	0	0	None
No log	6.0	240	-5.6339	0.3808	0	0	None
No log	7.0	280	-6.4786	0.3244	0	0	None
No log	8.0	320	-7.6536	0.2846	0	0	None
No log	9.0	360	-7.6682	0.2774	0	0	None
No log	10.0	400	-7.9471	0.2668	0	0	None
No log	11.0	440	-8.1260	0.2642	0	0	None
No log	12.0	480	-8.6624	0.2624	0	0	None

Framework versions

Transformers 4.37.2
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2