unlearn_cifar10_resnet-34_neggrad_6_42 – AI Model by jialicheng | AlphaNeural AI

You can deploy this model and start earning money today!

jialicheng/
unlearn_cifar10_resnet-34_neggrad_6_42

like

0

image-classification

generated_from_trainer

microsoft/resnet-34

Views

No views yet

42

This model is a fine-tuned version of microsoft/resnet-34 on the cifar10 dataset. It achieves the following results on the evaluation set:

Loss: -5.5248
Accuracy: 0.5399
Dt Accuracy: 0.5399
Df Accuracy: 0.5527
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: 1e-05
train_batch_size: 128
eval_batch_size: 256
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Overall Accuracy	Unlearn Overall Accuracy	Time
No log	1.0	24	-0.1426	0.989	0.1997	0.1997	None
No log	2.0	48	-0.1917	0.9777	0.2176	0.2176	None
No log	3.0	72	-0.4897	0.909	0.3164	0.3164	None
No log	4.0	96	-1.5649	0.773	0.4616	0.4616	None
No log	5.0	120	-2.8200	0.6573	0.5362	0.5362	None
No log	6.0	144	-3.9131	0.61	0.5505	0.5505	None
No log	7.0	168	-4.5997	0.588	0	0	None
No log	8.0	192	-4.9390	0.5767	0	0	None
No log	9.0	216	-5.1619	0.57	0	0	None
No log	10.0	240	-5.4594	0.561	0	0	None
No log	11.0	264	-5.5931	0.555	0	0	None
No log	12.0	288	-5.5248	0.5527	0	0	None

Framework versions

Transformers 4.37.2
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2