unlearn_cifar100_resnet-50_bad_teaching_4_87 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn_cifar100_resnet-50_bad_teaching_4_87

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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: 31.8667
Accuracy: 0.0161
Dt Accuracy: 0.0161
Df Accuracy: 0.014
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: 0.0002
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: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Overall Accuracy	Unlearn Overall Accuracy	Time
No log	1.0	32	1.4869	0.7195	0.4312	0.4312	None
No log	2.0	64	2.6531	0.5015	0	0	None
No log	3.0	96	4.9511	0.2925	0	0	None
No log	4.0	128	7.5354	0.1615	0	0	None
No log	5.0	160	10.9604	0.0695	0	0	None
No log	6.0	192	14.8844	0.0375	0	0	None
No log	7.0	224	16.0625	0.021	0	0	None
No log	8.0	256	15.1040	0.0195	0	0	None
No log	9.0	288	18.1007	0.017	0	0	None
No log	10.0	320	21.1399	0.015	0	0	None
No log	11.0	352	23.5860	0.016	0	0	None
No log	12.0	384	27.9458	0.0155	0	0	None
No log	13.0	416	33.7899	0.014	0	0	None
No log	14.0	448	26.5604	0.016	0	0	None
No log	15.0	480	32.4865	0.016	0	0	None
0.0	16.0	512	33.7369	0.0135	0	0	None
0.0	17.0	544	29.1454	0.0165	0	0	None
0.0	18.0	576	34.8849	0.0145	0	0	None
0.0	19.0	608	32.9679	0.0135	0	0	None
0.0	20.0	640	31.8667	0.014	0	0	None

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu118
Datasets 2.18.0
Tokenizers 0.15.2