unlearn-so_cifar10_resnet-50_neggrad_8_21 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn-so_cifar10_resnet-50_neggrad_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 cifar10 dataset. It achieves the following results on the evaluation set:

Loss: -8.0172
Accuracy: 0.1805
Dt Accuracy: 0.1805
Df Accuracy: 0.1885
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: 5e-05
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	32	-0.1529	0.9728	0.2254	0.2254	None
No log	2.0	64	-0.6452	0.8645	0.3722	0.3722	None
No log	3.0	96	-2.1054	0.6645	0.5349	0.5349	None
No log	4.0	128	-3.8360	0.5122	0	0	None
No log	5.0	160	-5.0851	0.418	0	0	None
No log	6.0	192	-6.0913	0.3315	0	0	None
No log	7.0	224	-7.0367	0.2585	0	0	None
No log	8.0	256	-7.6828	0.2142	0	0	None
No log	9.0	288	-8.0302	0.1945	0	0	None
No log	10.0	320	-8.0172	0.1885	0	0	None

Framework versions

Transformers 4.37.2
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2