| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: microsoft/conditional-detr-resnet-50 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: detr_finetuned_cppe5 |
| 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 |
|
|
| 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: 1.7386 |
| - Map: 0.021 |
| - Map 50: 0.0429 |
| - Map 75: 0.0201 |
| - Map Small: 0.0058 |
| - Map Medium: 0.0177 |
| - Map Large: 0.0252 |
| - Mar 1: 0.0523 |
| - Mar 10: 0.1319 |
| - Mar 100: 0.1741 |
| - Mar Small: 0.0602 |
| - Mar Medium: 0.1263 |
| - Mar Large: 0.227 |
| - Map Coverall: 0.0847 |
| - Mar 100 Coverall: 0.4302 |
| - Map Face Shield: 0.0035 |
| - Mar 100 Face Shield: 0.0608 |
| - Map Gloves: 0.0011 |
| - Mar 100 Gloves: 0.1085 |
| - Map Goggles: 0.001 |
| - Mar 100 Goggles: 0.0292 |
| - Map Mask: 0.0148 |
| - Mar 100 Mask: 0.2418 |
|
|
| ## 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: 0.0001 |
| - 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: 2 |
| |
| ### 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 | 107 | 1.9340 | 0.0138 | 0.0289 | 0.013 | 0.0007 | 0.013 | 0.0192 | 0.0285 | 0.081 | 0.1246 | 0.0206 | 0.0915 | 0.1533 | 0.0604 | 0.3464 | 0.0003 | 0.0354 | 0.0008 | 0.0915 | 0.001 | 0.0215 | 0.0067 | 0.128 | |
| | No log | 2.0 | 214 | 1.7386 | 0.021 | 0.0429 | 0.0201 | 0.0058 | 0.0177 | 0.0252 | 0.0523 | 0.1319 | 0.1741 | 0.0602 | 0.1263 | 0.227 | 0.0847 | 0.4302 | 0.0035 | 0.0608 | 0.0011 | 0.1085 | 0.001 | 0.0292 | 0.0148 | 0.2418 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.56.1 |
| - Pytorch 2.8.0+cu126 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.0 |
| |
