unlearn_cifar10_resnet-50_bad_teaching_10_87 – AI Model by jialicheng | AlphaNeural AI

You can deploy this model and start earning money today!

jialicheng/
unlearn_cifar10_resnet-50_bad_teaching_10_87

like

0

image-classification

generated_from_trainer

microsoft/resnet-50

Views

No views yet

87

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: 13.0343
Accuracy: 0.5778
Dt Accuracy: 0.5778
Df Accuracy: 0.5866
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: 0.0001
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	79	0.2653	0.966	0.2357	0.2357	None
No log	2.0	158	0.9184	0.9146	0.3093	0.3093	None
No log	3.0	237	2.0010	0.8666	0.3693	0.3693	None
No log	4.0	316	3.8735	0.7894	0.4493	0.4493	None
No log	5.0	395	5.4350	0.747	0	0	None
No log	6.0	474	9.4452	0.6794	0	0	None
0.0	7.0	553	8.8757	0.6616	0	0	None
0.0	8.0	632	12.5453	0.6176	0	0	None
0.0	9.0	711	12.6863	0.6086	0	0	None
0.0	10.0	790	13.0343	0.5866	0	0	None

Framework versions

Transformers 4.37.2
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2