End of training
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README.md
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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.
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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:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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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
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pytorch_model.bin
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