---
library_name: transformers
license: apache-2.0
base_model: PekingU/rtdetr_v2_r50vd
tags:
- generated_from_trainer
model-index:
- name: rtdetr-v2-r50-cppe5-finetune-2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# rtdetr-v2-r50-cppe5-finetune-2

This model is a fine-tuned version of [PekingU/rtdetr_v2_r50vd](https://huggingface.co/PekingU/rtdetr_v2_r50vd) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 17.0789
- Map: 0.1629
- Map 50: 0.2497
- Map 75: 0.158
- Map Small: 0.0436
- Map Medium: 0.0817
- Map Large: 0.2721
- Mar 1: 0.2131
- Mar 10: 0.4365
- Mar 100: 0.527
- Mar Small: 0.1714
- Mar Medium: 0.4158
- Mar Large: 0.7652
- Map Coverall: 0.4861
- Mar 100 Coverall: 0.7923
- Map Face Shield: 0.0563
- Mar 100 Face Shield: 0.5765
- Map Gloves: 0.1063
- Mar 100 Gloves: 0.4034
- Map Goggles: 0.0087
- Mar 100 Goggles: 0.3
- Map Mask: 0.157
- Mar 100 Mask: 0.5627

## 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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH 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: 300
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Map    | Map 50 | Map 75 | Map Small | Map Medium | Map Large | Mar 1 | Mar 10 | Mar 100 | Mar Small | Mar Medium | Mar Large | Map Coverall | Mar 100 Coverall | Map Face Shield | Mar 100 Face Shield | Map Gloves | Mar 100 Gloves | Map Goggles | Mar 100 Goggles | Map Mask | Mar 100 Mask |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:-----:|:------:|:-------:|:---------:|:----------:|:---------:|:------------:|:----------------:|:---------------:|:-------------------:|:----------:|:--------------:|:-----------:|:---------------:|:--------:|:------------:|
| No log        | 1.0   | 213  | 18.1838         | 0.1497 | 0.2559 | 0.1459 | 0.036     | 0.0844     | 0.2013    | 0.173 | 0.36   | 0.4261  | 0.1614    | 0.386      | 0.6847    | 0.5054       | 0.7279           | 0.0346          | 0.3633              | 0.0621     | 0.2812         | 0.0051      | 0.3             | 0.1412   | 0.4582       |


### Framework versions

- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.2