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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: facebook/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: imgdetection_model |
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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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# imgdetection_model |
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This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/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: 1.2611 |
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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: 16 |
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- eval_batch_size: 16 |
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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: linear |
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- num_epochs: 17 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.4992 | 1.0 | 75 | 2.4205 | |
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| 2.0497 | 2.0 | 150 | 1.9037 | |
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| 1.7749 | 3.0 | 225 | 1.6897 | |
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| 1.6143 | 4.0 | 300 | 1.5540 | |
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| 1.5326 | 5.0 | 375 | 1.4655 | |
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| 1.468 | 6.0 | 450 | 1.3991 | |
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| 1.4381 | 7.0 | 525 | 1.4099 | |
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| 1.4019 | 8.0 | 600 | 1.3662 | |
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| 1.3626 | 9.0 | 675 | 1.3520 | |
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| 1.3426 | 10.0 | 750 | 1.3188 | |
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| 1.3249 | 11.0 | 825 | 1.2764 | |
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| 1.2988 | 12.0 | 900 | 1.2777 | |
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| 1.288 | 13.0 | 975 | 1.2534 | |
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| 1.2687 | 14.0 | 1050 | 1.2531 | |
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| 1.2655 | 15.0 | 1125 | 1.2834 | |
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| 1.2692 | 16.0 | 1200 | 1.2308 | |
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| 1.2642 | 17.0 | 1275 | 1.2403 | |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.1 |
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