---
library_name: transformers
license: apache-2.0
base_model: Jesse020202/cppe5_setup_on_roadsign_test
tags:
- generated_from_trainer
model-index:
- name: detr_finetuned_cppe5_comparison
  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. -->

# detr_finetuned_cppe5_comparison

This model is a fine-tuned version of [Jesse020202/cppe5_setup_on_roadsign_test](https://huggingface.co/Jesse020202/cppe5_setup_on_roadsign_test) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3939

## 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
- 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: cosine
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 107  | 1.6000          |
| No log        | 2.0   | 214  | 1.5764          |
| No log        | 3.0   | 321  | 1.5325          |
| No log        | 4.0   | 428  | 1.5211          |
| 1.3796        | 5.0   | 535  | 1.5157          |
| 1.3796        | 6.0   | 642  | 1.5043          |
| 1.3796        | 7.0   | 749  | 1.4820          |
| 1.3796        | 8.0   | 856  | 1.4862          |
| 1.3796        | 9.0   | 963  | 1.4591          |
| 1.2857        | 10.0  | 1070 | 1.4494          |
| 1.2857        | 11.0  | 1177 | 1.4363          |
| 1.2857        | 12.0  | 1284 | 1.4385          |
| 1.2857        | 13.0  | 1391 | 1.4152          |
| 1.2857        | 14.0  | 1498 | 1.4067          |
| 1.1868        | 15.0  | 1605 | 1.4171          |
| 1.1868        | 16.0  | 1712 | 1.3954          |
| 1.1868        | 17.0  | 1819 | 1.3961          |
| 1.1868        | 18.0  | 1926 | 1.3974          |
| 1.1187        | 19.0  | 2033 | 1.3943          |
| 1.1187        | 20.0  | 2140 | 1.3939          |


### Framework versions

- Transformers 4.56.2
- Pytorch 2.8.0
- Datasets 4.1.1
- Tokenizers 0.22.1