unlearn-so_cifar100_resnet-50_bad_teaching_8_21 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn-so_cifar100_resnet-50_bad_teaching_8_21

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image-classification

generated_from_trainer

microsoft/resnet-50

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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: 13.4014
Accuracy: 0.0116
Dt Accuracy: 0.0116
Df Accuracy: 0.0135
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: 0.0001
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	63	1.6349	0.6707	0	0	None
0.0	2.0	126	3.8181	0.3593	0	0	None
0.0	3.0	189	7.1618	0.1343	0	0	None
0.0	4.0	252	8.6572	0.0385	0	0	None
0.0	5.0	315	11.9458	0.0227	0	0	None
0.0	6.0	378	11.8444	0.0158	0	0	None
0.0	7.0	441	12.8670	0.0143	0	0	None
0.0	8.0	504	13.4815	0.012	0	0	None
0.0	9.0	567	13.0402	0.0118	0	0	None
0.0	10.0	630	13.4014	0.0135	0	0	None

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu118
Datasets 2.19.0
Tokenizers 0.15.2