unlearn-so_cifar100_resnet-50_neggrad_4_13 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn-so_cifar100_resnet-50_neggrad_4_13

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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: -5.0649
Accuracy: 0.3545
Dt Accuracy: 0.3545
Df Accuracy: 0.331
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: 13
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	16	-0.6693	0.8525	0.2710	0.2710	None
No log	2.0	32	-0.9524	0.778	0.3700	0.3700	None
No log	3.0	48	-1.5007	0.6945	0.4583	0.4583	None
No log	4.0	64	-2.2576	0.5875	0.5418	0.5418	None
No log	5.0	80	-3.0301	0.5235	0.5687	0.5687	None
No log	6.0	96	-3.7687	0.4535	0	0	None
-2.773	7.0	112	-4.4644	0.3955	0	0	None
-2.773	8.0	128	-4.8001	0.363	0	0	None
-2.773	9.0	144	-5.0436	0.3435	0	0	None
-2.773	10.0	160	-5.0649	0.331	0	0	None

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu118
Datasets 2.19.0
Tokenizers 0.15.2