---
library_name: transformers
license: apache-2.0
base_model: PekingU/rtdetr_r50vd
tags:
- generated_from_trainer
model-index:
- name: rtdetr-cppe5-detection
  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. -->

# rtdetr-cppe5-detection

This model is a fine-tuned version of [PekingU/rtdetr_r50vd](https://huggingface.co/PekingU/rtdetr_r50vd) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 89.3171

## 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
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 237.8671      | 1.0   | 32   | 120.8588        |
| 160.6229      | 2.0   | 64   | 87.9866         |
| 123.3155      | 3.0   | 96   | 94.9977         |
| 116.224       | 4.0   | 128  | 94.1750         |
| 119.0437      | 5.0   | 160  | 96.6042         |
| 123.0258      | 6.0   | 192  | 95.5089         |
| 106.028       | 7.0   | 224  | 91.3961         |
| 104.9835      | 8.0   | 256  | 90.3529         |
| 103.8652      | 9.0   | 288  | 95.9664         |
| 107.2287      | 10.0  | 320  | 89.3171         |


### Framework versions

- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 4.4.1
- Tokenizers 0.22.1