unlearn_cifar10_resnet-50_bad_teaching_8_87 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn_cifar10_resnet-50_bad_teaching_8_87

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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 cifar10 dataset. It achieves the following results on the evaluation set:

Loss: 6.9739
Accuracy: 0.6632
Dt Accuracy: 0.6632
Df Accuracy: 0.6715
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: 87
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	0.2245	0.9665	0.2351	0.2351	None
No log	2.0	126	0.4880	0.9375	0.2779	0.2779	None
No log	3.0	189	1.1445	0.895	0.3350	0.3350	None
No log	4.0	252	1.7831	0.8522	0.3867	0.3867	None
No log	5.0	315	3.1535	0.8103	0.4299	0.4299	None
No log	6.0	378	4.3463	0.7635	0	0	None
No log	7.0	441	5.0731	0.7308	0	0	None
0.0	8.0	504	6.0822	0.7095	0	0	None
0.0	9.0	567	6.7301	0.6795	0	0	None
0.0	10.0	630	6.9739	0.6715	0	0	None

Framework versions

Transformers 4.37.2
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2