---
library_name: transformers
license: apache-2.0
base_model: microsoft/conditional-detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: cppe5_setup_on_roadsign_test
  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. -->

# cppe5_setup_on_roadsign_test

This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4669

## 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: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 107  | 2.1197          |
| No log        | 2.0   | 214  | 2.1379          |
| No log        | 3.0   | 321  | 1.9321          |
| No log        | 4.0   | 428  | 1.8901          |
| 2.718         | 5.0   | 535  | 1.8736          |
| 2.718         | 6.0   | 642  | 1.8040          |
| 2.718         | 7.0   | 749  | 1.7457          |
| 2.718         | 8.0   | 856  | 1.7353          |
| 2.718         | 9.0   | 963  | 1.7223          |
| 1.6615        | 10.0  | 1070 | 1.6739          |
| 1.6615        | 11.0  | 1177 | 1.7112          |
| 1.6615        | 12.0  | 1284 | 1.6121          |
| 1.6615        | 13.0  | 1391 | 1.6118          |
| 1.6615        | 14.0  | 1498 | 1.5623          |
| 1.5122        | 15.0  | 1605 | 1.5774          |
| 1.5122        | 16.0  | 1712 | 1.5583          |
| 1.5122        | 17.0  | 1819 | 1.5591          |
| 1.5122        | 18.0  | 1926 | 1.5253          |
| 1.4095        | 19.0  | 2033 | 1.5523          |
| 1.4095        | 20.0  | 2140 | 1.5213          |
| 1.4095        | 21.0  | 2247 | 1.5017          |
| 1.4095        | 22.0  | 2354 | 1.5023          |
| 1.4095        | 23.0  | 2461 | 1.4772          |
| 1.3312        | 24.0  | 2568 | 1.4792          |
| 1.3312        | 25.0  | 2675 | 1.4729          |
| 1.3312        | 26.0  | 2782 | 1.4712          |
| 1.3312        | 27.0  | 2889 | 1.4693          |
| 1.3312        | 28.0  | 2996 | 1.4683          |
| 1.2782        | 29.0  | 3103 | 1.4671          |
| 1.2782        | 30.0  | 3210 | 1.4669          |


### Framework versions

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