CoolFace
Modelpublic

merve/license-plate-detr-dinov3

sourceHugging Faceupdated 1y agoView on Hugging Face
1likes20downloads
Model Card

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

license-plate-detr-dinov3

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 2.4069

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: 1e-05
  • —trainbatchsize: 4
  • —evalbatchsize: 4
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 500
  • —num_epochs: 8
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
5.96390.34085005.7109
3.73110.681710005.8289
2.99531.022515005.5977
2.46841.363320004.9900
2.14581.704225003.0389
1.89662.045030002.9854
1.7112.385835002.8960
1.71882.726740002.8657
1.63453.067545002.9198
1.61623.408350003.0553
1.52163.749155003.0822
1.47464.090060003.2468
1.48214.430865003.0554
1.48244.771670002.6149
1.46975.112575002.5948
1.38595.453380002.5043
1.42075.794185002.7286
1.34326.135090002.6156
1.32616.475895002.4771
1.35046.8166100002.7247
1.29417.1575105002.4605
1.30137.4983110002.4045
1.35267.8391115002.4069

Framework versions

  • —Transformers 4.57.0.dev0
  • —Pytorch 2.8.0+cu126
  • —Datasets 4.0.0
  • —Tokenizers 0.22.1