unlearn_cifar10_resnet-34_bad_teaching_4_42 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn_cifar10_resnet-34_bad_teaching_4_42

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image-classification

generated_from_trainer

microsoft/resnet-34

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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: 4.6750
Accuracy: 0.7248
Dt Accuracy: 0.7248
Df Accuracy: 0.734
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: 42
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	32	1.9091	0.828	0.4119	0.4119	None
No log	2.0	64	2.9815	0.7885	0.4501	0.4501	None
No log	3.0	96	3.7770	0.7515	0	0	None
No log	4.0	128	3.7162	0.754	0	0	None
No log	5.0	160	4.3877	0.7395	0	0	None
No log	6.0	192	4.8596	0.738	0	0	None
No log	7.0	224	4.0900	0.727	0	0	None
No log	8.0	256	4.9009	0.729	0	0	None
No log	9.0	288	4.8932	0.724	0	0	None
No log	10.0	320	4.6750	0.734	0	0	None

Framework versions

Transformers 4.37.2
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2