unlearn_cifar100_resnet-50_bad_teaching_2_87 – AI Model by jialicheng | AlphaNeural AI

You can deploy this model and start earning money today!

jialicheng/
unlearn_cifar100_resnet-50_bad_teaching_2_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: 11.0268
Accuracy: 0.0422
Dt Accuracy: 0.0422
Df Accuracy: 0.043
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	16	0.7847	0.852	0.2710	0.2710	None
No log	2.0	32	1.2742	0.736	0.4157	0.4157	None
No log	3.0	48	1.6002	0.668	0	0	None
No log	4.0	64	2.1009	0.577	0	0	None
No log	5.0	80	3.3225	0.453	0	0	None
No log	6.0	96	3.6534	0.388	0	0	None
No log	7.0	112	4.9643	0.307	0	0	None
No log	8.0	128	5.2198	0.251	0	0	None
No log	9.0	144	5.8290	0.203	0	0	None
No log	10.0	160	6.7720	0.165	0	0	None
No log	11.0	176	7.6928	0.128	0	0	None
No log	12.0	192	8.7873	0.1	0	0	None
No log	13.0	208	9.4462	0.08	0	0	None
No log	14.0	224	11.3049	0.064	0	0	None
No log	15.0	240	11.1056	0.058	0	0	None
No log	16.0	256	11.2154	0.05	0	0	None
No log	17.0	272	11.1214	0.051	0	0	None
No log	18.0	288	11.1599	0.046	0	0	None
No log	19.0	304	11.0846	0.044	0	0	None
No log	20.0	320	11.0268	0.043	0	0	None

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu118
Datasets 2.18.0
Tokenizers 0.15.2