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detr-resnet-50-base-coco

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update model card README.md

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@@ -2,8 +2,6 @@
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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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- - object-detection
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- - vision
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  - generated_from_trainer
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  model-index:
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  - name: detr-resnet-50-base-coco
@@ -15,9 +13,9 @@ 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 detection-datasets/coco dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 6387.9546
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  ## Model description
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@@ -36,7 +34,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0002
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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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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 4 | 6394.3193 |
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- | No log | 2.0 | 8 | 6393.3564 |
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- | 6173.6062 | 3.0 | 12 | 6390.9482 |
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- | 6173.6062 | 4.0 | 16 | 6389.5869 |
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- | 6287.2859 | 5.0 | 20 | 6388.7280 |
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- | 6287.2859 | 6.0 | 24 | 6388.6221 |
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- | 6287.2859 | 7.0 | 28 | 6388.4399 |
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- | 6224.3344 | 8.0 | 32 | 6388.2119 |
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- | 6224.3344 | 9.0 | 36 | 6388.5449 |
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- | 6083.1363 | 10.0 | 40 | 6388.3262 |
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- | 6083.1363 | 11.0 | 44 | 6390.2056 |
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- | 6083.1363 | 12.0 | 48 | 6388.6606 |
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- | 6260.7426 | 13.0 | 52 | 6388.1484 |
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- | 6260.7426 | 14.0 | 56 | 6388.0479 |
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- | 6377.543 | 15.0 | 60 | 6388.0303 |
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- | 6377.543 | 16.0 | 64 | 6388.1338 |
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- | 6377.543 | 17.0 | 68 | 6388.0596 |
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- | 6318.3168 | 18.0 | 72 | 6388.0195 |
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- | 6318.3168 | 19.0 | 76 | 6387.9639 |
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- | 6258.2133 | 20.0 | 80 | 6387.9546 |
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  ### Framework versions
 
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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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  # 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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  ### 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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  | 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