unlearn-so_cifar100_resnet-50_bad_teaching_6_100 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn-so_cifar100_resnet-50_bad_teaching_6_100

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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: 10.1542
Accuracy: 0.0188
Dt Accuracy: 0.0188
Df Accuracy: 0.0167
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: 100
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	1.2167	0.7507	0.3990	0.3990	None
No log	2.0	94	2.6797	0.4977	0	0	None
0.0	3.0	141	4.4133	0.311	0	0	None
0.0	4.0	188	6.6974	0.1547	0	0	None
0.0	5.0	235	7.9609	0.0757	0	0	None
0.0	6.0	282	8.8395	0.0487	0	0	None
0.0	7.0	329	8.4641	0.024	0	0	None
0.0	8.0	376	9.4438	0.0197	0	0	None
0.0	9.0	423	10.8203	0.0173	0	0	None
0.0	10.0	470	10.1542	0.0167	0	0	None

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu118
Datasets 2.19.0
Tokenizers 0.15.2