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detr_finetuned_cppe5

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conditional_detr
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@@ -16,29 +16,29 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.1898
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- - Map: 0.2856
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- - Map 50: 0.5806
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- - Map 75: 0.245
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- - Map Small: 0.0813
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- - Map Medium: 0.224
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- - Map Large: 0.4449
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- - Mar 1: 0.2913
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- - Mar 10: 0.425
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- - Mar 100: 0.4382
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- - Mar Small: 0.1883
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- - Mar Medium: 0.3741
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- - Mar Large: 0.6152
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- - Map Coverall: 0.5355
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- - Mar 100 Coverall: 0.6414
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- - Map Face Shield: 0.2763
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- - Mar 100 Face Shield: 0.4582
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- - Map Gloves: 0.1854
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- - Mar 100 Gloves: 0.3411
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- - Map Goggles: 0.1443
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- - Mar 100 Goggles: 0.3585
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- - Map Mask: 0.2865
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- - Mar 100 Mask: 0.3916
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  ## Model description
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@@ -58,7 +58,7 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0001
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- - train_batch_size: 16
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  - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
@@ -69,36 +69,36 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Map | Map 50 | Map 75 | Map Small | Map Medium | Map Large | Mar 1 | Mar 10 | Mar 100 | Mar Small | Mar Medium | Mar Large | Map Coverall | Mar 100 Coverall | Map Face Shield | Mar 100 Face Shield | Map Gloves | Mar 100 Gloves | Map Goggles | Mar 100 Goggles | Map Mask | Mar 100 Mask |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:------------:|:----------------:|:---------------:|:-------------------:|:----------:|:--------------:|:-----------:|:---------------:|:--------:|:------------:|
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- | No log | 1.0 | 54 | 1.2594 | 0.2476 | 0.5256 | 0.195 | 0.0552 | 0.1779 | 0.3989 | 0.2551 | 0.3893 | 0.4093 | 0.1584 | 0.3447 | 0.5932 | 0.5082 | 0.6396 | 0.2025 | 0.4228 | 0.1483 | 0.2982 | 0.1492 | 0.3462 | 0.2297 | 0.3396 |
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- | No log | 2.0 | 108 | 1.2779 | 0.241 | 0.5088 | 0.202 | 0.0586 | 0.1811 | 0.4005 | 0.2566 | 0.3858 | 0.4063 | 0.1663 | 0.3439 | 0.5746 | 0.4765 | 0.618 | 0.2332 | 0.4114 | 0.1375 | 0.3018 | 0.1465 | 0.3508 | 0.2113 | 0.3498 |
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- | No log | 3.0 | 162 | 1.2853 | 0.2403 | 0.5054 | 0.1907 | 0.0507 | 0.1788 | 0.4011 | 0.2512 | 0.3883 | 0.4091 | 0.1897 | 0.3331 | 0.5971 | 0.5027 | 0.618 | 0.2249 | 0.4127 | 0.1381 | 0.3103 | 0.1145 | 0.3492 | 0.2214 | 0.3551 |
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- | No log | 4.0 | 216 | 1.2714 | 0.248 | 0.5293 | 0.2106 | 0.065 | 0.1783 | 0.4074 | 0.2547 | 0.3797 | 0.4001 | 0.1561 | 0.3308 | 0.5725 | 0.4959 | 0.6207 | 0.2072 | 0.3709 | 0.1526 | 0.3214 | 0.124 | 0.3277 | 0.2606 | 0.3596 |
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- | No log | 5.0 | 270 | 1.2657 | 0.2388 | 0.502 | 0.1827 | 0.0794 | 0.1856 | 0.3643 | 0.2559 | 0.3861 | 0.4067 | 0.2057 | 0.3469 | 0.566 | 0.491 | 0.623 | 0.1976 | 0.4177 | 0.153 | 0.304 | 0.1065 | 0.3262 | 0.2456 | 0.3627 |
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- | No log | 6.0 | 324 | 1.2752 | 0.2457 | 0.5155 | 0.1921 | 0.0619 | 0.1828 | 0.3811 | 0.252 | 0.3971 | 0.409 | 0.1393 | 0.349 | 0.5878 | 0.4952 | 0.6113 | 0.226 | 0.4367 | 0.1528 | 0.2987 | 0.1045 | 0.3354 | 0.25 | 0.3631 |
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- | No log | 7.0 | 378 | 1.2740 | 0.2387 | 0.485 | 0.1904 | 0.0591 | 0.1765 | 0.3802 | 0.2493 | 0.3939 | 0.4117 | 0.1772 | 0.3444 | 0.5928 | 0.4957 | 0.6072 | 0.191 | 0.4291 | 0.1642 | 0.3179 | 0.0895 | 0.3308 | 0.2531 | 0.3733 |
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- | No log | 8.0 | 432 | 1.2893 | 0.2451 | 0.5243 | 0.1957 | 0.0594 | 0.1775 | 0.4036 | 0.254 | 0.3924 | 0.4101 | 0.1689 | 0.3345 | 0.6044 | 0.5059 | 0.6297 | 0.216 | 0.4443 | 0.16 | 0.3071 | 0.1088 | 0.3231 | 0.2347 | 0.3462 |
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- | No log | 9.0 | 486 | 1.2677 | 0.2524 | 0.5351 | 0.206 | 0.0819 | 0.1917 | 0.3979 | 0.2556 | 0.396 | 0.4154 | 0.1693 | 0.3597 | 0.5841 | 0.4969 | 0.6158 | 0.2219 | 0.4013 | 0.1633 | 0.3388 | 0.1241 | 0.34 | 0.2559 | 0.3813 |
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- | 0.833 | 10.0 | 540 | 1.2681 | 0.2576 | 0.5323 | 0.2251 | 0.0695 | 0.1994 | 0.4131 | 0.2646 | 0.3956 | 0.4126 | 0.1896 | 0.3505 | 0.5769 | 0.5036 | 0.6207 | 0.2149 | 0.4025 | 0.1637 | 0.3205 | 0.1487 | 0.36 | 0.2571 | 0.3591 |
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- | 0.833 | 11.0 | 594 | 1.2681 | 0.2623 | 0.5318 | 0.2279 | 0.076 | 0.2074 | 0.3998 | 0.2672 | 0.4044 | 0.42 | 0.1887 | 0.3456 | 0.5935 | 0.5011 | 0.6144 | 0.2525 | 0.4468 | 0.1579 | 0.3263 | 0.1362 | 0.3538 | 0.2636 | 0.3587 |
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- | 0.833 | 12.0 | 648 | 1.2435 | 0.2612 | 0.5394 | 0.2215 | 0.0746 | 0.2079 | 0.4025 | 0.2698 | 0.4087 | 0.4249 | 0.1908 | 0.3628 | 0.6076 | 0.5073 | 0.6369 | 0.2444 | 0.457 | 0.1779 | 0.3281 | 0.1065 | 0.3292 | 0.2698 | 0.3733 |
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- | 0.833 | 13.0 | 702 | 1.2347 | 0.2547 | 0.5166 | 0.2106 | 0.0596 | 0.1889 | 0.4118 | 0.2618 | 0.4061 | 0.4251 | 0.184 | 0.3569 | 0.6118 | 0.5167 | 0.6441 | 0.184 | 0.4316 | 0.1704 | 0.3205 | 0.1439 | 0.3523 | 0.2582 | 0.3769 |
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- | 0.833 | 14.0 | 756 | 1.2483 | 0.2502 | 0.5253 | 0.2092 | 0.0552 | 0.1932 | 0.4009 | 0.2668 | 0.3988 | 0.4144 | 0.1771 | 0.35 | 0.5858 | 0.5073 | 0.632 | 0.2228 | 0.4329 | 0.1412 | 0.2893 | 0.1277 | 0.3492 | 0.252 | 0.3684 |
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- | 0.833 | 15.0 | 810 | 1.2366 | 0.2681 | 0.5512 | 0.2307 | 0.083 | 0.2029 | 0.4108 | 0.2829 | 0.4078 | 0.4266 | 0.2061 | 0.3562 | 0.6082 | 0.5168 | 0.6329 | 0.2317 | 0.4418 | 0.17 | 0.3214 | 0.1544 | 0.3523 | 0.2677 | 0.3844 |
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- | 0.833 | 16.0 | 864 | 1.2437 | 0.2666 | 0.5511 | 0.2216 | 0.0737 | 0.1973 | 0.4246 | 0.2775 | 0.407 | 0.4238 | 0.1515 | 0.3656 | 0.6009 | 0.515 | 0.6329 | 0.257 | 0.4519 | 0.1582 | 0.3187 | 0.1488 | 0.3415 | 0.2539 | 0.3738 |
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- | 0.833 | 17.0 | 918 | 1.2170 | 0.2537 | 0.5332 | 0.2114 | 0.0666 | 0.1943 | 0.4116 | 0.2708 | 0.4018 | 0.4221 | 0.1883 | 0.3497 | 0.614 | 0.5208 | 0.6387 | 0.2244 | 0.4316 | 0.1513 | 0.3089 | 0.122 | 0.3477 | 0.25 | 0.3836 |
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- | 0.833 | 18.0 | 972 | 1.2061 | 0.2674 | 0.5617 | 0.2288 | 0.0731 | 0.1976 | 0.4235 | 0.2716 | 0.4132 | 0.4301 | 0.1851 | 0.3657 | 0.6035 | 0.5362 | 0.6495 | 0.2421 | 0.4456 | 0.1669 | 0.3366 | 0.1295 | 0.34 | 0.2621 | 0.3787 |
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- | 0.7443 | 19.0 | 1026 | 1.1953 | 0.2771 | 0.5592 | 0.2447 | 0.0761 | 0.218 | 0.4372 | 0.2833 | 0.4263 | 0.4401 | 0.1777 | 0.3742 | 0.6354 | 0.5445 | 0.6644 | 0.2516 | 0.4608 | 0.1731 | 0.3326 | 0.1349 | 0.3415 | 0.2812 | 0.4013 |
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- | 0.7443 | 20.0 | 1080 | 1.1982 | 0.2769 | 0.5665 | 0.232 | 0.0856 | 0.2144 | 0.4313 | 0.2864 | 0.4251 | 0.4413 | 0.1965 | 0.3739 | 0.6222 | 0.532 | 0.655 | 0.254 | 0.4608 | 0.1735 | 0.342 | 0.1434 | 0.3554 | 0.2815 | 0.3933 |
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- | 0.7443 | 21.0 | 1134 | 1.1917 | 0.2799 | 0.5707 | 0.2321 | 0.084 | 0.2222 | 0.4421 | 0.2853 | 0.4271 | 0.4431 | 0.1967 | 0.3825 | 0.6202 | 0.5329 | 0.6527 | 0.2616 | 0.4595 | 0.1746 | 0.3379 | 0.1469 | 0.3692 | 0.2836 | 0.396 |
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- | 0.7443 | 22.0 | 1188 | 1.2034 | 0.2786 | 0.5654 | 0.2448 | 0.0875 | 0.218 | 0.4295 | 0.2856 | 0.4168 | 0.4357 | 0.1928 | 0.3706 | 0.6164 | 0.5331 | 0.6477 | 0.2691 | 0.4582 | 0.1778 | 0.3326 | 0.1363 | 0.3538 | 0.277 | 0.3862 |
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- | 0.7443 | 23.0 | 1242 | 1.1921 | 0.2811 | 0.5663 | 0.2461 | 0.084 | 0.2254 | 0.4305 | 0.2891 | 0.4236 | 0.4401 | 0.197 | 0.3786 | 0.6131 | 0.5379 | 0.65 | 0.2628 | 0.4671 | 0.1765 | 0.3411 | 0.1347 | 0.3508 | 0.2937 | 0.3916 |
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- | 0.7443 | 24.0 | 1296 | 1.1924 | 0.2831 | 0.5765 | 0.2477 | 0.0844 | 0.2258 | 0.4344 | 0.2918 | 0.4295 | 0.442 | 0.1963 | 0.3763 | 0.6205 | 0.5386 | 0.6468 | 0.2751 | 0.4671 | 0.1773 | 0.3451 | 0.1391 | 0.3585 | 0.2854 | 0.3924 |
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- | 0.7443 | 25.0 | 1350 | 1.1894 | 0.2847 | 0.5789 | 0.2472 | 0.0792 | 0.2248 | 0.4416 | 0.2919 | 0.4282 | 0.4425 | 0.1865 | 0.3836 | 0.6192 | 0.5361 | 0.65 | 0.2829 | 0.4646 | 0.1797 | 0.3388 | 0.1424 | 0.3615 | 0.2824 | 0.3973 |
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- | 0.7443 | 26.0 | 1404 | 1.1916 | 0.2863 | 0.5845 | 0.249 | 0.0814 | 0.2262 | 0.4424 | 0.2915 | 0.4247 | 0.4401 | 0.1878 | 0.3778 | 0.6205 | 0.5428 | 0.6464 | 0.2767 | 0.4519 | 0.1857 | 0.3491 | 0.1434 | 0.3631 | 0.2829 | 0.3902 |
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- | 0.7443 | 27.0 | 1458 | 1.1918 | 0.2857 | 0.5838 | 0.2461 | 0.0794 | 0.2267 | 0.446 | 0.294 | 0.4247 | 0.4385 | 0.1827 | 0.3782 | 0.617 | 0.5387 | 0.6423 | 0.279 | 0.4557 | 0.1807 | 0.3451 | 0.1479 | 0.3615 | 0.2822 | 0.388 |
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- | 0.6287 | 28.0 | 1512 | 1.1901 | 0.2861 | 0.5816 | 0.2422 | 0.0819 | 0.2247 | 0.444 | 0.2923 | 0.4242 | 0.4374 | 0.1907 | 0.3735 | 0.6147 | 0.535 | 0.6396 | 0.2776 | 0.4557 | 0.1855 | 0.3442 | 0.1457 | 0.3569 | 0.2866 | 0.3907 |
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- | 0.6287 | 29.0 | 1566 | 1.1898 | 0.2859 | 0.5804 | 0.2449 | 0.0814 | 0.2249 | 0.4445 | 0.2918 | 0.4252 | 0.4379 | 0.1889 | 0.3738 | 0.6141 | 0.5354 | 0.6414 | 0.2768 | 0.4582 | 0.1868 | 0.3424 | 0.1449 | 0.3569 | 0.2856 | 0.3907 |
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- | 0.6287 | 30.0 | 1620 | 1.1898 | 0.2856 | 0.5806 | 0.245 | 0.0813 | 0.224 | 0.4449 | 0.2913 | 0.425 | 0.4382 | 0.1883 | 0.3741 | 0.6152 | 0.5355 | 0.6414 | 0.2763 | 0.4582 | 0.1854 | 0.3411 | 0.1443 | 0.3585 | 0.2865 | 0.3916 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1482
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+ - Map: 0.3013
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+ - Map 50: 0.6037
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+ - Map 75: 0.2625
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+ - Map Small: 0.0935
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+ - Map Medium: 0.2354
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+ - Map Large: 0.4705
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+ - Mar 1: 0.293
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+ - Mar 10: 0.4358
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+ - Mar 100: 0.4539
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+ - Mar Small: 0.2086
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+ - Mar Medium: 0.3954
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+ - Mar Large: 0.6332
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+ - Map Coverall: 0.5417
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+ - Mar 100 Coverall: 0.6608
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+ - Map Face Shield: 0.3015
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+ - Mar 100 Face Shield: 0.4709
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+ - Map Gloves: 0.1881
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+ - Mar 100 Gloves: 0.3589
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+ - Map Goggles: 0.1751
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+ - Mar 100 Goggles: 0.3723
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+ - Map Mask: 0.2998
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+ - Mar 100 Mask: 0.4067
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0001
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+ - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 
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  | Training Loss | Epoch | Step | Validation Loss | Map | Map 50 | Map 75 | Map Small | Map Medium | Map Large | Mar 1 | Mar 10 | Mar 100 | Mar Small | Mar Medium | Mar Large | Map Coverall | Mar 100 Coverall | Map Face Shield | Mar 100 Face Shield | Map Gloves | Mar 100 Gloves | Map Goggles | Mar 100 Goggles | Map Mask | Mar 100 Mask |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:------------:|:----------------:|:---------------:|:-------------------:|:----------:|:--------------:|:-----------:|:---------------:|:--------:|:------------:|
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+ | No log | 1.0 | 107 | 1.3103 | 0.2366 | 0.5251 | 0.1954 | 0.0483 | 0.1595 | 0.4051 | 0.2415 | 0.372 | 0.3916 | 0.0973 | 0.3279 | 0.5894 | 0.5019 | 0.6234 | 0.1952 | 0.3873 | 0.1421 | 0.3067 | 0.1166 | 0.3123 | 0.2272 | 0.328 |
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+ | No log | 2.0 | 214 | 1.2553 | 0.2407 | 0.5311 | 0.1895 | 0.0818 | 0.1888 | 0.3807 | 0.2457 | 0.4052 | 0.4239 | 0.2015 | 0.3461 | 0.6037 | 0.4952 | 0.6351 | 0.2002 | 0.4405 | 0.1491 | 0.317 | 0.1145 | 0.3508 | 0.2445 | 0.376 |
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+ | No log | 3.0 | 321 | 1.2643 | 0.2545 | 0.5418 | 0.2059 | 0.0836 | 0.1862 | 0.4223 | 0.2582 | 0.4086 | 0.4288 | 0.1915 | 0.354 | 0.6306 | 0.4996 | 0.6315 | 0.2537 | 0.4911 | 0.1503 | 0.3174 | 0.1181 | 0.34 | 0.2506 | 0.364 |
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+ | No log | 4.0 | 428 | 1.2615 | 0.2529 | 0.5449 | 0.2072 | 0.0696 | 0.1878 | 0.4059 | 0.2609 | 0.3967 | 0.4207 | 0.1807 | 0.3445 | 0.6116 | 0.5063 | 0.6261 | 0.2257 | 0.438 | 0.1622 | 0.3304 | 0.1233 | 0.3385 | 0.247 | 0.3707 |
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+ | 0.809 | 5.0 | 535 | 1.2607 | 0.2579 | 0.531 | 0.2227 | 0.073 | 0.2017 | 0.3961 | 0.2645 | 0.4083 | 0.4268 | 0.1903 | 0.372 | 0.5884 | 0.4998 | 0.6248 | 0.2598 | 0.4519 | 0.1353 | 0.304 | 0.1357 | 0.3677 | 0.2589 | 0.3858 |
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+ | 0.809 | 6.0 | 642 | 1.2593 | 0.2519 | 0.5188 | 0.1991 | 0.0871 | 0.1865 | 0.3902 | 0.2603 | 0.3996 | 0.4208 | 0.2027 | 0.3592 | 0.5902 | 0.493 | 0.6302 | 0.2515 | 0.443 | 0.1459 | 0.3241 | 0.1331 | 0.3538 | 0.2359 | 0.3529 |
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+ | 0.809 | 7.0 | 749 | 1.2608 | 0.2343 | 0.5174 | 0.1746 | 0.0704 | 0.1827 | 0.359 | 0.2465 | 0.3923 | 0.4159 | 0.1648 | 0.3577 | 0.5925 | 0.4923 | 0.6392 | 0.2226 | 0.419 | 0.143 | 0.3121 | 0.0839 | 0.3462 | 0.2296 | 0.3631 |
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+ | 0.809 | 8.0 | 856 | 1.2420 | 0.2518 | 0.5359 | 0.2112 | 0.0678 | 0.1871 | 0.3933 | 0.2665 | 0.4027 | 0.4247 | 0.1816 | 0.3587 | 0.6093 | 0.5093 | 0.6333 | 0.2541 | 0.457 | 0.161 | 0.304 | 0.1149 | 0.3708 | 0.2194 | 0.3582 |
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+ | 0.809 | 9.0 | 963 | 1.2877 | 0.2389 | 0.5124 | 0.1925 | 0.0765 | 0.1861 | 0.3552 | 0.2418 | 0.3911 | 0.4139 | 0.1845 | 0.3416 | 0.5759 | 0.4878 | 0.6405 | 0.2406 | 0.457 | 0.16 | 0.3219 | 0.0767 | 0.3154 | 0.2292 | 0.3347 |
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+ | 0.8045 | 10.0 | 1070 | 1.2622 | 0.2465 | 0.5363 | 0.1849 | 0.0681 | 0.1901 | 0.3804 | 0.2551 | 0.3944 | 0.4152 | 0.1688 | 0.347 | 0.5884 | 0.4993 | 0.6248 | 0.235 | 0.419 | 0.1353 | 0.325 | 0.1121 | 0.3323 | 0.2506 | 0.3751 |
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+ | 0.8045 | 11.0 | 1177 | 1.2450 | 0.2567 | 0.5325 | 0.212 | 0.0769 | 0.2089 | 0.3991 | 0.2561 | 0.4013 | 0.4236 | 0.1756 | 0.38 | 0.583 | 0.5152 | 0.6311 | 0.2205 | 0.4228 | 0.1471 | 0.3152 | 0.1476 | 0.3892 | 0.2528 | 0.3596 |
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+ | 0.8045 | 12.0 | 1284 | 1.2581 | 0.2482 | 0.5347 | 0.1968 | 0.0744 | 0.1923 | 0.3948 | 0.2679 | 0.4031 | 0.4202 | 0.1677 | 0.365 | 0.5949 | 0.511 | 0.6423 | 0.2382 | 0.443 | 0.1513 | 0.3107 | 0.1024 | 0.3523 | 0.2383 | 0.3524 |
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+ | 0.8045 | 13.0 | 1391 | 1.2723 | 0.2523 | 0.5343 | 0.1932 | 0.0752 | 0.1776 | 0.4016 | 0.2564 | 0.3901 | 0.413 | 0.1807 | 0.3553 | 0.5787 | 0.5103 | 0.6374 | 0.2291 | 0.4165 | 0.1744 | 0.3304 | 0.1068 | 0.3308 | 0.2407 | 0.3502 |
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+ | 0.8045 | 14.0 | 1498 | 1.2605 | 0.2557 | 0.5429 | 0.2066 | 0.064 | 0.2004 | 0.4036 | 0.26 | 0.3913 | 0.4058 | 0.1734 | 0.349 | 0.5638 | 0.506 | 0.6284 | 0.2267 | 0.4101 | 0.1439 | 0.283 | 0.1458 | 0.3431 | 0.2562 | 0.3644 |
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+ | 0.7483 | 15.0 | 1605 | 1.1914 | 0.2745 | 0.5581 | 0.2287 | 0.0771 | 0.2257 | 0.436 | 0.2752 | 0.418 | 0.4318 | 0.182 | 0.3714 | 0.5948 | 0.5256 | 0.6437 | 0.265 | 0.4506 | 0.1654 | 0.3304 | 0.1388 | 0.3508 | 0.2776 | 0.3836 |
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+ | 0.7483 | 16.0 | 1712 | 1.2263 | 0.2707 | 0.5439 | 0.2323 | 0.0806 | 0.2134 | 0.4229 | 0.271 | 0.4093 | 0.4281 | 0.2211 | 0.353 | 0.5989 | 0.5228 | 0.6329 | 0.2682 | 0.438 | 0.1485 | 0.3138 | 0.1464 | 0.3769 | 0.2675 | 0.3787 |
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+ | 0.7483 | 17.0 | 1819 | 1.1937 | 0.2768 | 0.5753 | 0.2219 | 0.0905 | 0.2061 | 0.4351 | 0.2744 | 0.4158 | 0.4374 | 0.1936 | 0.3639 | 0.6148 | 0.5191 | 0.6464 | 0.2555 | 0.4582 | 0.175 | 0.3348 | 0.1594 | 0.3646 | 0.2752 | 0.3831 |
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+ | 0.7483 | 18.0 | 1926 | 1.1891 | 0.2819 | 0.5779 | 0.2195 | 0.0856 | 0.2146 | 0.4421 | 0.2804 | 0.4272 | 0.4425 | 0.1994 | 0.3761 | 0.6186 | 0.528 | 0.6491 | 0.2863 | 0.4797 | 0.1772 | 0.3366 | 0.1458 | 0.3646 | 0.2721 | 0.3822 |
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+ | 0.6667 | 19.0 | 2033 | 1.1921 | 0.2873 | 0.5852 | 0.2319 | 0.0904 | 0.2222 | 0.4537 | 0.2785 | 0.4251 | 0.4483 | 0.1838 | 0.4064 | 0.6159 | 0.539 | 0.6568 | 0.2849 | 0.4747 | 0.1765 | 0.3411 | 0.1539 | 0.3754 | 0.2821 | 0.3938 |
91
+ | 0.6667 | 20.0 | 2140 | 1.1818 | 0.293 | 0.5831 | 0.2489 | 0.091 | 0.2229 | 0.4721 | 0.2877 | 0.4307 | 0.448 | 0.2008 | 0.3913 | 0.6292 | 0.5318 | 0.6536 | 0.3021 | 0.4886 | 0.1806 | 0.3496 | 0.1786 | 0.3662 | 0.2721 | 0.3822 |
92
+ | 0.6667 | 21.0 | 2247 | 1.1679 | 0.2914 | 0.5889 | 0.2375 | 0.0971 | 0.2219 | 0.4566 | 0.2834 | 0.4302 | 0.4503 | 0.1951 | 0.3953 | 0.6284 | 0.5388 | 0.6577 | 0.2947 | 0.4608 | 0.1848 | 0.3567 | 0.1545 | 0.3815 | 0.2844 | 0.3947 |
93
+ | 0.6667 | 22.0 | 2354 | 1.1684 | 0.2901 | 0.5869 | 0.2451 | 0.0909 | 0.2182 | 0.4556 | 0.284 | 0.4314 | 0.4457 | 0.2025 | 0.375 | 0.6275 | 0.5342 | 0.6568 | 0.2854 | 0.4608 | 0.1817 | 0.3473 | 0.1645 | 0.3677 | 0.2848 | 0.396 |
94
+ | 0.6667 | 23.0 | 2461 | 1.1606 | 0.2927 | 0.5861 | 0.2426 | 0.0869 | 0.2221 | 0.4582 | 0.2868 | 0.4278 | 0.4471 | 0.2063 | 0.3833 | 0.6147 | 0.546 | 0.6568 | 0.292 | 0.4709 | 0.1828 | 0.3522 | 0.1601 | 0.3646 | 0.2825 | 0.3911 |
95
+ | 0.5873 | 24.0 | 2568 | 1.1582 | 0.2924 | 0.5898 | 0.2543 | 0.0918 | 0.2298 | 0.4546 | 0.2898 | 0.4311 | 0.4497 | 0.2008 | 0.3965 | 0.6166 | 0.5473 | 0.6653 | 0.2906 | 0.4747 | 0.1811 | 0.346 | 0.149 | 0.3662 | 0.2939 | 0.3964 |
96
+ | 0.5873 | 25.0 | 2675 | 1.1534 | 0.2987 | 0.6015 | 0.2658 | 0.0897 | 0.2329 | 0.4705 | 0.2899 | 0.4312 | 0.4515 | 0.2032 | 0.3874 | 0.6358 | 0.5507 | 0.6653 | 0.2975 | 0.4797 | 0.186 | 0.3536 | 0.1632 | 0.3569 | 0.2963 | 0.4018 |
97
+ | 0.5873 | 26.0 | 2782 | 1.1536 | 0.2976 | 0.5984 | 0.2627 | 0.093 | 0.2331 | 0.4708 | 0.2882 | 0.4335 | 0.4536 | 0.2074 | 0.3973 | 0.6307 | 0.5414 | 0.6604 | 0.2947 | 0.4785 | 0.1831 | 0.3562 | 0.1733 | 0.3708 | 0.2955 | 0.4022 |
98
+ | 0.5873 | 27.0 | 2889 | 1.1492 | 0.2992 | 0.6031 | 0.2633 | 0.0931 | 0.2331 | 0.4692 | 0.2913 | 0.4358 | 0.4528 | 0.2119 | 0.3922 | 0.6313 | 0.5442 | 0.6617 | 0.2975 | 0.4785 | 0.185 | 0.3558 | 0.174 | 0.3662 | 0.2951 | 0.4018 |
99
+ | 0.5873 | 28.0 | 2996 | 1.1491 | 0.3007 | 0.6027 | 0.2606 | 0.0927 | 0.2337 | 0.4742 | 0.2928 | 0.4342 | 0.4528 | 0.2026 | 0.3965 | 0.6313 | 0.5406 | 0.6581 | 0.2982 | 0.4709 | 0.1881 | 0.358 | 0.1799 | 0.3738 | 0.2965 | 0.4031 |
100
+ | 0.5379 | 29.0 | 3103 | 1.1484 | 0.301 | 0.6039 | 0.2632 | 0.0932 | 0.2356 | 0.4706 | 0.2935 | 0.4356 | 0.4532 | 0.2035 | 0.395 | 0.6327 | 0.541 | 0.6599 | 0.3019 | 0.4696 | 0.1885 | 0.3589 | 0.1739 | 0.3723 | 0.2995 | 0.4053 |
101
+ | 0.5379 | 30.0 | 3210 | 1.1482 | 0.3013 | 0.6037 | 0.2625 | 0.0935 | 0.2354 | 0.4705 | 0.293 | 0.4358 | 0.4539 | 0.2086 | 0.3954 | 0.6332 | 0.5417 | 0.6608 | 0.3015 | 0.4709 | 0.1881 | 0.3589 | 0.1751 | 0.3723 | 0.2998 | 0.4067 |
102
 
103
 
104
  ### Framework versions