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End of training

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README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.1692
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  ## Model description
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@@ -41,75 +41,15 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: cosine
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- - training_steps: 1440
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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 | 23 | 0.9258 |
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- | 1.1129 | 2.0 | 46 | 0.8241 |
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- | 0.8989 | 3.0 | 69 | 0.8080 |
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- | 0.8799 | 4.0 | 92 | 0.9306 |
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- | 0.8799 | 5.0 | 115 | 0.5536 |
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- | 0.6986 | 6.0 | 138 | 0.5199 |
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- | 0.6088 | 7.0 | 161 | 0.4739 |
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- | 0.631 | 8.0 | 184 | 0.5007 |
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- | 0.631 | 9.0 | 207 | 0.6598 |
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- | 0.5804 | 10.0 | 230 | 0.4345 |
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- | 0.5656 | 11.0 | 253 | 0.4864 |
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- | 0.5725 | 12.0 | 276 | 0.3707 |
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- | 0.5725 | 13.0 | 299 | 0.3357 |
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- | 0.4953 | 14.0 | 322 | 0.4104 |
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- | 0.4619 | 15.0 | 345 | 0.3681 |
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- | 0.4463 | 16.0 | 368 | 0.3045 |
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- | 0.433 | 17.0 | 391 | 0.3330 |
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- | 0.433 | 18.0 | 414 | 0.3561 |
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- | 0.396 | 19.0 | 437 | 0.2583 |
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- | 0.3845 | 20.0 | 460 | 0.2699 |
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- | 0.3569 | 21.0 | 483 | 0.2714 |
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- | 0.3569 | 22.0 | 506 | 0.2978 |
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- | 0.3574 | 23.0 | 529 | 0.2844 |
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- | 0.3424 | 24.0 | 552 | 0.2650 |
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- | 0.35 | 25.0 | 575 | 0.2829 |
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- | 0.35 | 26.0 | 598 | 0.2533 |
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- | 0.34 | 27.0 | 621 | 0.2306 |
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- | 0.3309 | 28.0 | 644 | 0.2348 |
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- | 0.3297 | 29.0 | 667 | 0.2912 |
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- | 0.3357 | 30.0 | 690 | 0.2679 |
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- | 0.3357 | 31.0 | 713 | 0.2685 |
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- | 0.3267 | 32.0 | 736 | 0.2384 |
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- | 0.3102 | 33.0 | 759 | 0.2346 |
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- | 0.3204 | 34.0 | 782 | 0.2850 |
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- | 0.3204 | 35.0 | 805 | 0.2969 |
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- | 0.3191 | 36.0 | 828 | 0.2315 |
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- | 0.3051 | 37.0 | 851 | 0.1958 |
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- | 0.2825 | 38.0 | 874 | 0.2211 |
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- | 0.2825 | 39.0 | 897 | 0.2309 |
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- | 0.2895 | 40.0 | 920 | 0.2610 |
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- | 0.2891 | 41.0 | 943 | 0.2334 |
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- | 0.279 | 42.0 | 966 | 0.2149 |
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- | 0.279 | 43.0 | 989 | 0.2017 |
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- | 0.2735 | 44.0 | 1012 | 0.2445 |
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- | 0.2688 | 45.0 | 1035 | 0.2164 |
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- | 0.2602 | 46.0 | 1058 | 0.1995 |
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- | 0.2644 | 47.0 | 1081 | 0.1936 |
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- | 0.2644 | 48.0 | 1104 | 0.1884 |
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- | 0.2634 | 49.0 | 1127 | 0.1974 |
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- | 0.2568 | 50.0 | 1150 | 0.1981 |
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- | 0.2456 | 51.0 | 1173 | 0.1799 |
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- | 0.2456 | 52.0 | 1196 | 0.1777 |
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- | 0.2479 | 53.0 | 1219 | 0.1915 |
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- | 0.2529 | 54.0 | 1242 | 0.1928 |
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- | 0.2533 | 55.0 | 1265 | 0.1772 |
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- | 0.2533 | 56.0 | 1288 | 0.1863 |
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- | 0.2516 | 57.0 | 1311 | 0.1775 |
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- | 0.2495 | 58.0 | 1334 | 0.1808 |
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- | 0.2428 | 59.0 | 1357 | 0.1734 |
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- | 0.2454 | 60.0 | 1380 | 0.1696 |
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- | 0.2454 | 61.0 | 1403 | 0.1766 |
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- | 0.2452 | 62.0 | 1426 | 0.1718 |
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- | 0.2367 | 62.6087 | 1440 | 0.1692 |
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  ### Framework versions
 
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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: 0.8267
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: cosine
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+ - num_epochs: 3
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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 | 23 | 0.9212 |
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+ | 1.2586 | 2.0 | 46 | 0.8563 |
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+ | 0.9268 | 3.0 | 69 | 0.8267 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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