unlearn_cifar100_resnet-50_neggrad_10_87 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn_cifar100_resnet-50_neggrad_10_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: -30.4430
Accuracy: 0.0139
Dt Accuracy: 0.0139
Df Accuracy: 0.0154
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: 5e-05
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	40	-0.8712	0.8158	0.3211	0.3211	None
No log	2.0	80	-2.1491	0.6416	0.5009	0.5009	None
No log	3.0	120	-5.6382	0.4252	0	0	None
No log	4.0	160	-9.5851	0.2342	0	0	None
No log	5.0	200	-12.9142	0.122	0	0	None
No log	6.0	240	-15.9253	0.0724	0	0	None
No log	7.0	280	-16.4527	0.0456	0	0	None
No log	8.0	320	-21.4992	0.0362	0	0	None
No log	9.0	360	-21.9941	0.0298	0	0	None
No log	10.0	400	-25.7521	0.0264	0	0	None
No log	11.0	440	-29.0888	0.0238	0	0	None
No log	12.0	480	-29.4552	0.02	0	0	None
-20.7172	13.0	520	-28.0849	0.019	0	0	None
-20.7172	14.0	560	-33.1038	0.0162	0	0	None
-20.7172	15.0	600	-35.5528	0.0164	0	0	None
-20.7172	16.0	640	-34.3839	0.015	0	0	None
-20.7172	17.0	680	-31.2806	0.0156	0	0	None
-20.7172	18.0	720	-33.9595	0.0158	0	0	None
-20.7172	19.0	760	-34.7509	0.0154	0	0	None
-20.7172	20.0	800	-30.4430	0.0154	0	0	None

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu118
Datasets 2.18.0
Tokenizers 0.15.2