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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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model-index: |
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- name: detr-resnet-50-CD45RB-100 |
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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-resnet-50-CD45RB-100 |
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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 None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6658 |
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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: 0.0001 |
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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: 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: 50 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.1316 | 1.0 | 94 | 2.3431 | |
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| 2.812 | 2.0 | 188 | 2.2115 | |
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| 2.8118 | 3.0 | 282 | 1.9844 | |
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| 2.5555 | 4.0 | 376 | 1.9309 | |
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| 2.4803 | 5.0 | 470 | 1.8790 | |
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| 2.5099 | 6.0 | 564 | 2.0294 | |
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| 2.5365 | 7.0 | 658 | 1.8845 | |
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| 2.4593 | 8.0 | 752 | 1.8699 | |
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| 2.4248 | 9.0 | 846 | 1.7946 | |
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| 2.4017 | 10.0 | 940 | 1.7905 | |
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| 2.4523 | 11.0 | 1034 | 1.8319 | |
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| 2.4407 | 12.0 | 1128 | 1.8370 | |
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| 2.3727 | 13.0 | 1222 | 1.8001 | |
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| 2.317 | 14.0 | 1316 | 1.7492 | |
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| 2.3292 | 15.0 | 1410 | 1.7531 | |
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| 2.3086 | 16.0 | 1504 | 1.7637 | |
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| 2.3175 | 17.0 | 1598 | 1.7302 | |
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| 2.3002 | 18.0 | 1692 | 1.7216 | |
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| 2.2756 | 19.0 | 1786 | 1.7345 | |
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| 2.2656 | 20.0 | 1880 | 1.7225 | |
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| 2.3083 | 21.0 | 1974 | 1.7549 | |
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| 2.2542 | 22.0 | 2068 | 1.7175 | |
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| 2.2262 | 23.0 | 2162 | 1.6998 | |
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| 2.2644 | 24.0 | 2256 | 1.7020 | |
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| 2.2392 | 25.0 | 2350 | 1.6933 | |
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| 2.228 | 26.0 | 2444 | 1.7434 | |
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| 2.2284 | 27.0 | 2538 | 1.7070 | |
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| 2.2019 | 28.0 | 2632 | 1.6977 | |
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| 2.1804 | 29.0 | 2726 | 1.6867 | |
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| 2.1939 | 30.0 | 2820 | 1.6859 | |
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| 2.1863 | 31.0 | 2914 | 1.6802 | |
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| 2.2009 | 32.0 | 3008 | 1.6940 | |
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| 2.1894 | 33.0 | 3102 | 1.6720 | |
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| 2.1759 | 34.0 | 3196 | 1.6700 | |
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| 2.1575 | 35.0 | 3290 | 1.6713 | |
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| 2.1715 | 36.0 | 3384 | 1.7287 | |
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| 2.2125 | 37.0 | 3478 | 1.6994 | |
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| 2.2032 | 38.0 | 3572 | 1.6896 | |
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| 2.21 | 39.0 | 3666 | 1.6793 | |
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| 2.1837 | 40.0 | 3760 | 1.6747 | |
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| 2.2136 | 41.0 | 3854 | 1.6728 | |
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| 2.1825 | 42.0 | 3948 | 1.6641 | |
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| 2.1419 | 43.0 | 4042 | 1.6829 | |
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| 2.1695 | 44.0 | 4136 | 1.6625 | |
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| 2.1478 | 45.0 | 4230 | 1.6680 | |
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| 2.1464 | 46.0 | 4324 | 1.6795 | |
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| 2.1809 | 47.0 | 4418 | 1.6775 | |
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| 2.174 | 48.0 | 4512 | 1.6668 | |
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| 2.1391 | 49.0 | 4606 | 1.6559 | |
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| 2.1466 | 50.0 | 4700 | 1.6658 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.10.0 |
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- Tokenizers 0.13.2 |
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