---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: license-plate-detr-dinov3
  results: []
---

<!-- 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
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 5.9639        | 0.3408 | 500   | 5.7109          |
| 3.7311        | 0.6817 | 1000  | 5.8289          |
| 2.9953        | 1.0225 | 1500  | 5.5977          |
| 2.4684        | 1.3633 | 2000  | 4.9900          |
| 2.1458        | 1.7042 | 2500  | 3.0389          |
| 1.8966        | 2.0450 | 3000  | 2.9854          |
| 1.711         | 2.3858 | 3500  | 2.8960          |
| 1.7188        | 2.7267 | 4000  | 2.8657          |
| 1.6345        | 3.0675 | 4500  | 2.9198          |
| 1.6162        | 3.4083 | 5000  | 3.0553          |
| 1.5216        | 3.7491 | 5500  | 3.0822          |
| 1.4746        | 4.0900 | 6000  | 3.2468          |
| 1.4821        | 4.4308 | 6500  | 3.0554          |
| 1.4824        | 4.7716 | 7000  | 2.6149          |
| 1.4697        | 5.1125 | 7500  | 2.5948          |
| 1.3859        | 5.4533 | 8000  | 2.5043          |
| 1.4207        | 5.7941 | 8500  | 2.7286          |
| 1.3432        | 6.1350 | 9000  | 2.6156          |
| 1.3261        | 6.4758 | 9500  | 2.4771          |
| 1.3504        | 6.8166 | 10000 | 2.7247          |
| 1.2941        | 7.1575 | 10500 | 2.4605          |
| 1.3013        | 7.4983 | 11000 | 2.4045          |
| 1.3526        | 7.8391 | 11500 | 2.4069          |


### Framework versions

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