unlearn-so_cifar100_resnet-50_neggrad_4_87 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn-so_cifar100_resnet-50_neggrad_4_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 cifar100 dataset. It achieves the following results on the evaluation set:

Loss: -3.1830
Accuracy: 0.439
Dt Accuracy: 0.439
Df Accuracy: 0.437
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: 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	16	-0.6100	0.88	0.2296	0.2296	None
No log	2.0	32	-0.7246	0.827	0.3070	0.3070	None
No log	3.0	48	-0.9540	0.7515	0.4018	0.4018	None
No log	4.0	64	-1.3103	0.667	0.4855	0.4855	None
No log	5.0	80	-1.7719	0.594	0.5370	0.5370	None
No log	6.0	96	-2.2620	0.537	0.5627	0.5627	None
-2.0705	7.0	112	-2.6711	0.488	0	0	None
-2.0705	8.0	128	-2.9641	0.4535	0	0	None
-2.0705	9.0	144	-3.1426	0.4365	0	0	None
-2.0705	10.0	160	-3.1830	0.437	0	0	None

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu118
Datasets 2.19.0
Tokenizers 0.15.2