End of training
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: microsoft/conditional-detr-resnet-50
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tags:
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- generated_from_trainer
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model-index:
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- name: detr-cppe5-ppe-detector
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# detr-cppe5-ppe-detector
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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.
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It achieves the following results on the evaluation set:
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- Loss: 1.1687
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- num_epochs: 30
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 106 | 1.9109 |
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| No log | 2.0 | 212 | 1.7408 |
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| No log | 3.0 | 318 | 1.7527 |
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| No log | 4.0 | 424 | 1.5295 |
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| 3.5859 | 5.0 | 530 | 1.5355 |
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| 3.5859 | 6.0 | 636 | 1.5048 |
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| 3.5859 | 7.0 | 742 | 1.4679 |
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| 3.5859 | 8.0 | 848 | 1.4037 |
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| 3.5859 | 9.0 | 954 | 1.4161 |
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| 1.3248 | 10.0 | 1060 | 1.3470 |
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| 1.3248 | 11.0 | 1166 | 1.3197 |
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| 1.3248 | 12.0 | 1272 | 1.3047 |
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| 1.3248 | 13.0 | 1378 | 1.3000 |
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| 1.3248 | 14.0 | 1484 | 1.2670 |
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| 1.1606 | 15.0 | 1590 | 1.2603 |
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| 1.1606 | 16.0 | 1696 | 1.2669 |
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| 1.1606 | 17.0 | 1802 | 1.2255 |
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| 1.1606 | 18.0 | 1908 | 1.2329 |
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| 1.0363 | 19.0 | 2014 | 1.1964 |
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| 1.0363 | 20.0 | 2120 | 1.1991 |
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| 1.0363 | 21.0 | 2226 | 1.1966 |
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| 1.0363 | 22.0 | 2332 | 1.1834 |
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| 1.0363 | 23.0 | 2438 | 1.1747 |
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| 0.938 | 24.0 | 2544 | 1.1785 |
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| 0.938 | 25.0 | 2650 | 1.1752 |
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| 0.938 | 26.0 | 2756 | 1.1718 |
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| 0.938 | 27.0 | 2862 | 1.1747 |
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| 0.938 | 28.0 | 2968 | 1.1736 |
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| 0.8943 | 29.0 | 3074 | 1.1734 |
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| 0.8943 | 30.0 | 3180 | 1.1687 |
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### Framework versions
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- Transformers 4.49.0
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- Pytorch 2.11.0+cu128
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- Datasets 2.21.0
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- Tokenizers 0.21.4
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