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End of training

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  1. README.md +11 -8
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [qgyd2021/detr_cppe5_object_detection](https://huggingface.co/qgyd2021/detr_cppe5_object_detection) on the cppe5 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.1300
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  ## Model description
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@@ -46,18 +46,21 @@ The following hyperparameters were used during training:
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  - total_eval_batch_size: 16
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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: 30
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.8224 | 3.17 | 200 | 1.0183 |
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- | 0.8185 | 6.35 | 400 | 1.0975 |
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- | 0.7584 | 9.52 | 600 | 1.0917 |
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- | 0.7272 | 12.7 | 800 | 1.0980 |
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- | 0.7481 | 15.87 | 1000 | 1.1201 |
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- | 0.7586 | 19.05 | 1200 | 1.1300 |
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [qgyd2021/detr_cppe5_object_detection](https://huggingface.co/qgyd2021/detr_cppe5_object_detection) on the cppe5 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0644
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  ## Model description
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  - total_eval_batch_size: 16
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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: 200
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.8107 | 3.17 | 200 | 1.0516 |
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+ | 0.8031 | 6.35 | 400 | 1.1292 |
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+ | 0.7474 | 9.52 | 600 | 1.1179 |
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+ | 0.7315 | 12.7 | 800 | 1.0198 |
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+ | 0.7605 | 15.87 | 1000 | 1.0427 |
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+ | 0.7611 | 19.05 | 1200 | 1.0867 |
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+ | 0.7377 | 22.22 | 1400 | 1.1264 |
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+ | 0.7303 | 25.4 | 1600 | 1.1137 |
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+ | 0.6692 | 28.57 | 1800 | 1.0644 |
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  ### Framework versions
pytorch_model.bin CHANGED
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