unlearn_cifar100_resnet-50_bad_teaching_10_87 – AI Model by jialicheng | AlphaNeural AI

You can deploy this model and start earning money today!

jialicheng/
unlearn_cifar100_resnet-50_bad_teaching_10_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: 59.1734
Accuracy: 0.0169
Dt Accuracy: 0.0169
Df Accuracy: 0.0184
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	79	3.6139	0.4246	0	0	None
No log	2.0	158	10.6952	0.0618	0	0	None
No log	3.0	237	17.4675	0.02	0	0	None
No log	4.0	316	24.7450	0.0176	0	0	None
No log	5.0	395	33.6965	0.0162	0	0	None
No log	6.0	474	39.7375	0.0152	0	0	None
0.0	7.0	553	50.0622	0.0166	0	0	None
0.0	8.0	632	41.3608	0.0162	0	0	None
0.0	9.0	711	51.3286	0.0156	0	0	None
0.0	10.0	790	47.9392	0.0156	0	0	None
0.0	11.0	869	47.2069	0.0168	0	0	None
0.0	12.0	948	45.5358	0.0164	0	0	None
0.0	13.0	1027	43.8302	0.0172	0	0	None
0.0	14.0	1106	57.6853	0.0176	0	0	None
0.0	15.0	1185	52.6795	0.0182	0	0	None
0.0	16.0	1264	71.4143	0.0176	0	0	None
0.0	17.0	1343	66.4316	0.019	0	0	None
0.0	18.0	1422	67.8244	0.0178	0	0	None
0.0	19.0	1501	61.4364	0.0182	0	0	None
0.0	20.0	1580	59.1734	0.0184	0	0	None

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu118
Datasets 2.18.0
Tokenizers 0.15.2