unlearn-so_cifar100_resnet-50_bad_teaching_4_13 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn-so_cifar100_resnet-50_bad_teaching_4_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 cifar100 dataset. It achieves the following results on the evaluation set:

Loss: 7.3312
Accuracy: 0.1367
Dt Accuracy: 0.1367
Df Accuracy: 0.1315
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: 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	0.9254	0.8215	0.3132	0.3132	None
No log	2.0	64	1.6396	0.6725	0	0	None
No log	3.0	96	2.6896	0.513	0	0	None
0.0	4.0	128	3.5842	0.3845	0	0	None
0.0	5.0	160	4.1191	0.308	0	0	None
0.0	6.0	192	5.9629	0.224	0	0	None
0.0	7.0	224	6.7938	0.1805	0	0	None
0.0	8.0	256	6.7059	0.152	0	0	None
0.0	9.0	288	7.0587	0.142	0	0	None
0.0	10.0	320	7.3312	0.1315	0	0	None

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu118
Datasets 2.19.0
Tokenizers 0.15.2