unlearn-so_cifar100_resnet-50_bad_teaching_8_87 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn-so_cifar100_resnet-50_bad_teaching_8_87

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image-classification

generated_from_trainer

microsoft/resnet-50

endpoints_compatible

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87

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: 7.3286
Accuracy: 0.1273
Dt Accuracy: 0.1273
Df Accuracy: 0.1358
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: 87
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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	63	0.9128	0.8237	0.3103	0.3103	None
0.0	2.0	126	1.3976	0.6995	0	0	None
0.0	3.0	189	2.4695	0.5285	0	0	None
0.0	4.0	252	3.2086	0.4193	0	0	None
0.0	5.0	315	4.5113	0.3018	0	0	None
0.0	6.0	378	5.2439	0.232	0	0	None
0.0	7.0	441	6.3598	0.1787	0	0	None
0.0	8.0	504	6.2819	0.1557	0	0	None
0.0	9.0	567	7.6156	0.1368	0	0	None
0.0	10.0	630	7.3286	0.1358	0	0	None

Framework versions

Transformers 4.48.0
Pytorch 2.2.2+cu118
Datasets 3.2.0
Tokenizers 0.21.0