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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- cd45rb |
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model-index: |
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- name: detr-r50-cd45rb-8ah-6l |
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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-r50-cd45rb-8ah-6l |
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This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the cd45rb dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5794 |
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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: 1e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 25 |
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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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| 2.4794 | 1.0 | 4606 | 1.8245 | |
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| 2.2469 | 2.0 | 9212 | 1.7593 | |
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| 2.1817 | 3.0 | 13818 | 1.7109 | |
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| 2.1418 | 4.0 | 18424 | 1.6976 | |
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| 2.118 | 5.0 | 23030 | 1.6695 | |
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| 2.1237 | 6.0 | 27636 | 1.6781 | |
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| 2.1025 | 7.0 | 32242 | 1.6574 | |
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| 2.0796 | 8.0 | 36848 | 1.6418 | |
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| 2.0672 | 9.0 | 41454 | 1.6333 | |
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| 2.0597 | 10.0 | 46060 | 1.6313 | |
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| 2.0948 | 11.0 | 50666 | 1.6546 | |
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| 2.0943 | 12.0 | 55272 | 1.6905 | |
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| 2.0819 | 13.0 | 59878 | 1.6430 | |
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| 2.0795 | 14.0 | 64484 | 1.6439 | |
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| 2.0566 | 15.0 | 69090 | 1.6449 | |
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| 2.0435 | 16.0 | 73696 | 1.6204 | |
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| 2.0375 | 17.0 | 78302 | 1.6195 | |
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| 2.032 | 18.0 | 82908 | 1.6128 | |
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| 2.0079 | 19.0 | 87514 | 1.6082 | |
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| 1.9985 | 20.0 | 92120 | 1.6037 | |
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| 1.9976 | 21.0 | 96726 | 1.6005 | |
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| 1.9887 | 22.0 | 101332 | 1.5969 | |
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| 1.9841 | 23.0 | 105938 | 1.5841 | |
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| 1.9763 | 24.0 | 110544 | 1.5826 | |
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| 1.9686 | 25.0 | 115150 | 1.5794 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 2.0.1 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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