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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: 0.2445
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  ## Model description
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@@ -47,66 +47,66 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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- | 1.1031 | 1.0 | 497 | 0.9868 |
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- | 0.7476 | 2.0 | 994 | 0.6725 |
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- | 0.6123 | 3.0 | 1491 | 0.7112 |
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- | 0.576 | 4.0 | 1988 | 0.4941 |
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- | 0.4914 | 5.0 | 2485 | 0.4320 |
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- | 0.4722 | 6.0 | 2982 | 0.3852 |
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- | 0.4893 | 7.0 | 3479 | 0.4150 |
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- | 0.4411 | 8.0 | 3976 | 0.4270 |
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- | 0.4039 | 9.0 | 4473 | 0.3440 |
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- | 0.4182 | 10.0 | 4970 | 0.3521 |
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- | 0.4056 | 11.0 | 5467 | 0.3263 |
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- | 0.3723 | 12.0 | 5964 | 0.3328 |
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- | 0.3584 | 13.0 | 6461 | 0.3265 |
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- | 0.3497 | 14.0 | 6958 | 0.3627 |
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- | 0.3521 | 15.0 | 7455 | 0.3201 |
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- | 0.3515 | 16.0 | 7952 | 0.3582 |
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- | 0.3424 | 17.0 | 8449 | 0.3191 |
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- | 0.3754 | 18.0 | 8946 | 0.3132 |
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- | 0.3278 | 19.0 | 9443 | 0.3085 |
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- | 0.3105 | 20.0 | 9940 | 0.2860 |
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- | 0.3048 | 21.0 | 10437 | 0.3004 |
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- | 0.3078 | 22.0 | 10934 | 0.2912 |
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- | 0.3105 | 23.0 | 11431 | 0.2940 |
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- | 0.3099 | 24.0 | 11928 | 0.2946 |
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- | 0.3005 | 25.0 | 12425 | 0.2868 |
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- | 0.2984 | 26.0 | 12922 | 0.2739 |
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- | 0.3072 | 27.0 | 13419 | 0.2866 |
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- | 0.2872 | 28.0 | 13916 | 0.2832 |
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- | 0.2921 | 29.0 | 14413 | 0.2720 |
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- | 0.2939 | 30.0 | 14910 | 0.2894 |
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- | 0.2957 | 31.0 | 15407 | 0.2549 |
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- | 0.2792 | 32.0 | 15904 | 0.2662 |
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- | 0.2846 | 33.0 | 16401 | 0.2723 |
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- | 0.2917 | 34.0 | 16898 | 0.2717 |
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- | 0.2711 | 35.0 | 17395 | 0.2655 |
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- | 0.2591 | 36.0 | 17892 | 0.2641 |
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- | 0.2618 | 37.0 | 18389 | 0.2558 |
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- | 0.2833 | 38.0 | 18886 | 0.2574 |
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- | 0.2525 | 39.0 | 19383 | 0.2682 |
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- | 0.2618 | 40.0 | 19880 | 0.2649 |
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- | 0.2561 | 41.0 | 20377 | 0.2513 |
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- | 0.2623 | 42.0 | 20874 | 0.2578 |
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- | 0.2518 | 43.0 | 21371 | 0.2602 |
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- | 0.2478 | 44.0 | 21868 | 0.2506 |
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- | 0.2495 | 45.0 | 22365 | 0.2576 |
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- | 0.2324 | 46.0 | 22862 | 0.2407 |
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- | 0.2343 | 47.0 | 23359 | 0.2570 |
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- | 0.2545 | 48.0 | 23856 | 0.2497 |
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- | 0.2243 | 49.0 | 24353 | 0.2468 |
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- | 0.2478 | 50.0 | 24850 | 0.2524 |
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- | 0.2296 | 51.0 | 25347 | 0.2477 |
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- | 0.2462 | 52.0 | 25844 | 0.2540 |
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- | 0.2504 | 53.0 | 26341 | 0.2513 |
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- | 0.2493 | 54.0 | 26838 | 0.2509 |
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- | 0.2258 | 55.0 | 27335 | 0.2451 |
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- | 0.2545 | 56.0 | 27832 | 0.2433 |
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- | 0.2463 | 57.0 | 28329 | 0.2444 |
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- | 0.236 | 58.0 | 28826 | 0.2444 |
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- | 0.2444 | 59.0 | 29323 | 0.2445 |
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- | 0.231 | 60.0 | 29820 | 0.2445 |
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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: 0.2476
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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+ | 1.2826 | 1.0 | 497 | 1.1718 |
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+ | 1.0565 | 2.0 | 994 | 0.9496 |
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+ | 0.8699 | 3.0 | 1491 | 0.8140 |
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+ | 0.9199 | 4.0 | 1988 | 0.7631 |
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+ | 0.7011 | 5.0 | 2485 | 0.6355 |
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+ | 0.7246 | 6.0 | 2982 | 0.6444 |
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+ | 0.5952 | 7.0 | 3479 | 0.5118 |
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+ | 0.5584 | 8.0 | 3976 | 0.4591 |
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+ | 0.4884 | 9.0 | 4473 | 0.4302 |
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+ | 0.4804 | 10.0 | 4970 | 0.4176 |
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+ | 0.4511 | 11.0 | 5467 | 0.3914 |
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+ | 0.4124 | 12.0 | 5964 | 0.3830 |
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+ | 0.4182 | 13.0 | 6461 | 0.3754 |
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+ | 0.4103 | 14.0 | 6958 | 0.3583 |
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+ | 0.4037 | 15.0 | 7455 | 0.3451 |
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+ | 0.3983 | 16.0 | 7952 | 0.3453 |
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+ | 0.3606 | 17.0 | 8449 | 0.3426 |
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+ | 0.3885 | 18.0 | 8946 | 0.3436 |
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+ | 0.3713 | 19.0 | 9443 | 0.3321 |
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+ | 0.339 | 20.0 | 9940 | 0.3199 |
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+ | 0.3345 | 21.0 | 10437 | 0.3119 |
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+ | 0.3215 | 22.0 | 10934 | 0.3189 |
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+ | 0.353 | 23.0 | 11431 | 0.3031 |
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+ | 0.338 | 24.0 | 11928 | 0.3152 |
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+ | 0.3183 | 25.0 | 12425 | 0.3113 |
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+ | 0.3219 | 26.0 | 12922 | 0.2882 |
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+ | 0.3128 | 27.0 | 13419 | 0.2872 |
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+ | 0.3032 | 28.0 | 13916 | 0.2876 |
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+ | 0.3129 | 29.0 | 14413 | 0.2835 |
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+ | 0.3062 | 30.0 | 14910 | 0.2832 |
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+ | 0.3214 | 31.0 | 15407 | 0.2668 |
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+ | 0.2891 | 32.0 | 15904 | 0.2838 |
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+ | 0.297 | 33.0 | 16401 | 0.2756 |
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+ | 0.296 | 34.0 | 16898 | 0.2753 |
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+ | 0.2882 | 35.0 | 17395 | 0.2706 |
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+ | 0.2704 | 36.0 | 17892 | 0.2644 |
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+ | 0.2709 | 37.0 | 18389 | 0.2643 |
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+ | 0.2852 | 38.0 | 18886 | 0.2640 |
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+ | 0.259 | 39.0 | 19383 | 0.2698 |
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+ | 0.276 | 40.0 | 19880 | 0.2602 |
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+ | 0.2867 | 41.0 | 20377 | 0.2499 |
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+ | 0.2986 | 42.0 | 20874 | 0.2672 |
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+ | 0.2577 | 43.0 | 21371 | 0.2577 |
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+ | 0.2583 | 44.0 | 21868 | 0.2487 |
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+ | 0.2599 | 45.0 | 22365 | 0.2570 |
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+ | 0.2498 | 46.0 | 22862 | 0.2529 |
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+ | 0.2496 | 47.0 | 23359 | 0.2522 |
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+ | 0.2596 | 48.0 | 23856 | 0.2568 |
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+ | 0.2352 | 49.0 | 24353 | 0.2525 |
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+ | 0.2552 | 50.0 | 24850 | 0.2452 |
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+ | 0.2428 | 51.0 | 25347 | 0.2496 |
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+ | 0.2538 | 52.0 | 25844 | 0.2483 |
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+ | 0.2657 | 53.0 | 26341 | 0.2510 |
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+ | 0.2532 | 54.0 | 26838 | 0.2510 |
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+ | 0.2412 | 55.0 | 27335 | 0.2485 |
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+ | 0.2822 | 56.0 | 27832 | 0.2491 |
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+ | 0.2694 | 57.0 | 28329 | 0.2482 |
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+ | 0.249 | 58.0 | 28826 | 0.2479 |
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+ | 0.2408 | 59.0 | 29323 | 0.2477 |
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+ | 0.2345 | 60.0 | 29820 | 0.2476 |
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  ### Framework versions
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