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--- |
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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: detr-resnet-50-base-coco |
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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-base-coco |
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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: 6395.9766 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 1337 |
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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: 20.0 |
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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 | 4 | 6398.7773 | |
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| No log | 2.0 | 8 | 6398.4355 | |
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| 6176.0926 | 3.0 | 12 | 6398.2266 | |
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| 6176.0926 | 4.0 | 16 | 6397.8564 | |
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| 6292.8656 | 5.0 | 20 | 6397.6299 | |
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| 6292.8656 | 6.0 | 24 | 6397.3179 | |
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| 6292.8656 | 7.0 | 28 | 6396.9526 | |
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| 6231.0688 | 8.0 | 32 | 6396.7905 | |
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| 6231.0688 | 9.0 | 36 | 6396.6748 | |
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| 6090.4715 | 10.0 | 40 | 6396.5957 | |
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| 6090.4715 | 11.0 | 44 | 6396.5347 | |
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| 6090.4715 | 12.0 | 48 | 6396.4106 | |
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| 6268.359 | 13.0 | 52 | 6396.3232 | |
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| 6268.359 | 14.0 | 56 | 6396.2344 | |
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| 6384.7945 | 15.0 | 60 | 6396.0957 | |
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| 6384.7945 | 16.0 | 64 | 6396.0903 | |
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| 6384.7945 | 17.0 | 68 | 6396.0029 | |
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| 6325.7992 | 18.0 | 72 | 6395.9458 | |
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| 6325.7992 | 19.0 | 76 | 6395.9780 | |
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| 6265.4016 | 20.0 | 80 | 6395.9766 | |
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### Framework versions |
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- Transformers 4.32.0.dev0 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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