unlearn-so_cifar100_resnet-50_neggrad_8_21 – AI Model by jialicheng | AlphaNeural AI

You can deploy this model and start earning money today!

jialicheng/
unlearn-so_cifar100_resnet-50_neggrad_8_21

like

0

image-classification

generated_from_trainer

microsoft/resnet-50

Views

No views yet

21

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: -16.4031
Accuracy: 0.0393
Dt Accuracy: 0.0393
Df Accuracy: 0.041
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: 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	32	-0.7869	0.8215	0.3142	0.3142	None
No log	2.0	64	-2.0294	0.583	0.5392	0.5392	None
No log	3.0	96	-4.8550	0.336	0	0	None
-2.6992	4.0	128	-7.7407	0.1895	0	0	None
-2.6992	5.0	160	-10.3405	0.1098	0	0	None
-2.6992	6.0	192	-12.7739	0.076	0	0	None
-10.6479	7.0	224	-14.3615	0.053	0	0	None
-10.6479	8.0	256	-15.8731	0.0435	0	0	None
-10.6479	9.0	288	-16.0683	0.0408	0	0	None
-16.3793	10.0	320	-16.4031	0.041	0	0	None

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu118
Datasets 2.19.0
Tokenizers 0.15.2