unlearn-so_cifar100_resnet-50_bad_teaching_6_21 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn-so_cifar100_resnet-50_bad_teaching_6_21

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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: 10.5489
Accuracy: 0.0184
Dt Accuracy: 0.0184
Df Accuracy: 0.0137
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: 21
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	47	1.2936	0.7423	0.4077	0.4077	None
No log	2.0	94	2.5529	0.5097	0	0	None
0.0	3.0	141	4.8123	0.2963	0	0	None
0.0	4.0	188	5.7948	0.1667	0	0	None
0.0	5.0	235	7.8839	0.088	0	0	None
0.0	6.0	282	9.8849	0.049	0	0	None
0.0	7.0	329	11.1072	0.0293	0	0	None
0.0	8.0	376	11.4332	0.0217	0	0	None
0.0	9.0	423	10.7722	0.0157	0	0	None
0.0	10.0	470	10.5489	0.0137	0	0	None

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu118
Datasets 2.19.0
Tokenizers 0.15.2