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detr-resnet-50-CD45RB-100

Object Detection Transformers PyTorch TensorBoard detr generated_from_trainer Inference Endpoints

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polejowska commited on Feb 26, 2023

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update model card README.md

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@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6680
 ## Model description
@@ -39,7 +39,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 45
 ### Training results
@@ -90,6 +90,11 @@ The following hyperparameters were used during training:
 | 2.1419        | 43.0  | 4042 | 1.6829          |
 | 2.1695        | 44.0  | 4136 | 1.6625          |
 | 2.1478        | 45.0  | 4230 | 1.6680          |
 ### Framework versions

 This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 1.6658
 ## Model description
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
+- num_epochs: 50
 ### Training results
 | 2.1419        | 43.0  | 4042 | 1.6829          |
 | 2.1695        | 44.0  | 4136 | 1.6625          |
 | 2.1478        | 45.0  | 4230 | 1.6680          |
+| 2.1464        | 46.0  | 4324 | 1.6795          |
+| 2.1809        | 47.0  | 4418 | 1.6775          |
+| 2.174         | 48.0  | 4512 | 1.6668          |
+| 2.1391        | 49.0  | 4606 | 1.6559          |
+| 2.1466        | 50.0  | 4700 | 1.6658          |
 ### Framework versions