resnet-18-finetuned-fraud – AI Model by kgoli | AlphaNeural AI

You can deploy this model and start earning money today!

kgoli/
resnet-18-finetuned-fraud

like

0

image-classification

generated_from_trainer

microsoft/resnet-18

autotrain_compatible

endpoints_compatible

Views

No views yet

resnet-18-finetuned-fraud

This model is a fine-tuned version of microsoft/resnet-18 on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 2060572751382446080.0000
Precision: 0.0

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Precision
No log	1.0	2	2060572751382446080.0000	0.0
No log	2.0	4	2060572751382446080.0000	0.0
No log	3.0	6	2060572751382446080.0000	0.0
No log	4.0	8	2060572751382446080.0000	0.0
2569276759331150336.0000	5.0	10	2060572751382446080.0000	0.0
2569276759331150336.0000	6.0	12	2060572751382446080.0000	0.0
2569276759331150336.0000	7.0	14	2060572751382446080.0000	0.0
2569276759331150336.0000	8.0	16	2060572751382446080.0000	0.0
2569276759331150336.0000	9.0	18	2060572751382446080.0000	0.0
2411513773224361984.0000	10.0	20	2060572751382446080.0000	0.0

Framework versions

Transformers 4.40.1
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1