unlearn-so_cifar100_resnet-50_bad_teaching_10_42 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn-so_cifar100_resnet-50_bad_teaching_10_42

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image-classification

generated_from_trainer

microsoft/resnet-50

endpoints_compatible

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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: 8.6402
Accuracy: 0.0506
Dt Accuracy: 0.0506
Df Accuracy: 0.0546
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: 42
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	79	1.0512	0.7906	0.3528	0.3528	None
0.0	2.0	158	2.2199	0.5842	0	0	None
0.0	3.0	237	3.0130	0.4326	0	0	None
0.0	4.0	316	4.3290	0.2866	0	0	None
0.0	5.0	395	6.3021	0.1736	0	0	None
0.0	6.0	474	7.0323	0.1244	0	0	None
0.0	7.0	553	7.8451	0.0874	0	0	None
0.0	8.0	632	8.5330	0.0672	0	0	None
0.0	9.0	711	9.5011	0.0486	0	0	None
0.0	10.0	790	8.6402	0.0546	0	0	None

Framework versions

Transformers 4.48.0
Pytorch 2.2.2+cu118
Datasets 3.2.0
Tokenizers 0.21.0