unlearn_cifar100_resnet-50_bad_teaching_6_42 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn_cifar100_resnet-50_bad_teaching_6_42

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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: 36.0268
Accuracy: 0.0168
Dt Accuracy: 0.0168
Df Accuracy: 0.0153
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: 42
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	47	2.0602	0.6227	0	0	None
No log	2.0	94	4.8078	0.3137	0	0	None
No log	3.0	141	9.6638	0.1017	0	0	None
No log	4.0	188	16.2774	0.0287	0	0	None
No log	5.0	235	16.5814	0.019	0	0	None
No log	6.0	282	21.0942	0.0193	0	0	None
No log	7.0	329	20.9663	0.018	0	0	None
No log	8.0	376	23.0531	0.0173	0	0	None
No log	9.0	423	37.7848	0.0173	0	0	None
No log	10.0	470	29.0187	0.0147	0	0	None
0.0	11.0	517	29.1290	0.0153	0	0	None
0.0	12.0	564	36.2223	0.014	0	0	None
0.0	13.0	611	34.2616	0.0147	0	0	None
0.0	14.0	658	37.3977	0.0153	0	0	None
0.0	15.0	705	29.6960	0.0163	0	0	None
0.0	16.0	752	35.8729	0.0153	0	0	None
0.0	17.0	799	30.7437	0.0163	0	0	None
0.0	18.0	846	33.8901	0.016	0	0	None
0.0	19.0	893	36.7432	0.0153	0	0	None
0.0	20.0	940	36.0268	0.0153	0	0	None

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu118
Datasets 2.18.0
Tokenizers 0.15.2