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library_name: transformers
license: apache-2.0
base_model: microsoft/conditional-detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: detr-cppe5-ppe-detector
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-cppe5-ppe-detector
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: 1.1687
## 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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 30
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 106 | 1.9109 |
| No log | 2.0 | 212 | 1.7408 |
| No log | 3.0 | 318 | 1.7527 |
| No log | 4.0 | 424 | 1.5295 |
| 3.5859 | 5.0 | 530 | 1.5355 |
| 3.5859 | 6.0 | 636 | 1.5048 |
| 3.5859 | 7.0 | 742 | 1.4679 |
| 3.5859 | 8.0 | 848 | 1.4037 |
| 3.5859 | 9.0 | 954 | 1.4161 |
| 1.3248 | 10.0 | 1060 | 1.3470 |
| 1.3248 | 11.0 | 1166 | 1.3197 |
| 1.3248 | 12.0 | 1272 | 1.3047 |
| 1.3248 | 13.0 | 1378 | 1.3000 |
| 1.3248 | 14.0 | 1484 | 1.2670 |
| 1.1606 | 15.0 | 1590 | 1.2603 |
| 1.1606 | 16.0 | 1696 | 1.2669 |
| 1.1606 | 17.0 | 1802 | 1.2255 |
| 1.1606 | 18.0 | 1908 | 1.2329 |
| 1.0363 | 19.0 | 2014 | 1.1964 |
| 1.0363 | 20.0 | 2120 | 1.1991 |
| 1.0363 | 21.0 | 2226 | 1.1966 |
| 1.0363 | 22.0 | 2332 | 1.1834 |
| 1.0363 | 23.0 | 2438 | 1.1747 |
| 0.938 | 24.0 | 2544 | 1.1785 |
| 0.938 | 25.0 | 2650 | 1.1752 |
| 0.938 | 26.0 | 2756 | 1.1718 |
| 0.938 | 27.0 | 2862 | 1.1747 |
| 0.938 | 28.0 | 2968 | 1.1736 |
| 0.8943 | 29.0 | 3074 | 1.1734 |
| 0.8943 | 30.0 | 3180 | 1.1687 |
### Framework versions
- Transformers 4.49.0
- Pytorch 2.11.0+cu128
- Datasets 2.21.0
- Tokenizers 0.21.4
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