unlearn_cifar100_resnet-50_neggrad_8_87 – AI Model by jialicheng | AlphaNeural AI

You can deploy this model and start earning money today!

jialicheng/
unlearn_cifar100_resnet-50_neggrad_8_87

like

0

image-classification

generated_from_trainer

microsoft/resnet-50

Views

No views yet

87

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: -26.7713
Accuracy: 0.0213
Dt Accuracy: 0.0213
Df Accuracy: 0.0217
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	32	-0.7020	0.8555	0.2662	0.2662	None
No log	2.0	64	-1.0831	0.763	0.3864	0.3864	None
No log	3.0	96	-2.0345	0.6395	0.5026	0.5026	None
No log	4.0	128	-3.9058	0.4895	0	0	None
No log	5.0	160	-6.7776	0.3345	0	0	None
No log	6.0	192	-9.4698	0.1872	0	0	None
No log	7.0	224	-12.2079	0.1065	0	0	None
No log	8.0	256	-13.2775	0.0673	0	0	None
No log	9.0	288	-15.9643	0.0495	0	0	None
No log	10.0	320	-18.5127	0.0377	0	0	None
No log	11.0	352	-20.2035	0.031	0	0	None
No log	12.0	384	-21.4233	0.0262	0	0	None
No log	13.0	416	-23.6513	0.0238	0	0	None
No log	14.0	448	-23.8714	0.0235	0	0	None
No log	15.0	480	-25.9585	0.0243	0	0	None
-16.7316	16.0	512	-26.3497	0.0227	0	0	None
-16.7316	17.0	544	-25.2116	0.0227	0	0	None
-16.7316	18.0	576	-27.1010	0.0222	0	0	None
-16.7316	19.0	608	-26.0663	0.0213	0	0	None
-16.7316	20.0	640	-26.7713	0.0217	0	0	None

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu118
Datasets 2.18.0
Tokenizers 0.15.2