unlearn_cifar100_resnet-50_bad_teaching_6_87 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn_cifar100_resnet-50_bad_teaching_6_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: 28.5390
Accuracy: 0.0169
Dt Accuracy: 0.0169
Df Accuracy: 0.0143
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	47	2.0704	0.6203	0	0	None
No log	2.0	94	4.8596	0.334	0	0	None
No log	3.0	141	10.1298	0.0917	0	0	None
No log	4.0	188	10.5752	0.042	0	0	None
No log	5.0	235	14.0465	0.0203	0	0	None
No log	6.0	282	19.1807	0.018	0	0	None
No log	7.0	329	15.0872	0.0183	0	0	None
No log	8.0	376	14.0005	0.017	0	0	None
No log	9.0	423	23.7620	0.017	0	0	None
No log	10.0	470	20.7606	0.016	0	0	None
0.0	11.0	517	24.8558	0.0153	0	0	None
0.0	12.0	564	21.4317	0.0177	0	0	None
0.0	13.0	611	27.8091	0.0163	0	0	None
0.0	14.0	658	28.2545	0.0177	0	0	None
0.0	15.0	705	28.1092	0.017	0	0	None
0.0	16.0	752	25.1129	0.0157	0	0	None
0.0	17.0	799	27.2595	0.0147	0	0	None
0.0	18.0	846	28.7376	0.0157	0	0	None
0.0	19.0	893	27.0409	0.0153	0	0	None
0.0	20.0	940	28.5390	0.0143	0	0	None

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu118
Datasets 2.18.0
Tokenizers 0.15.2