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toukapy
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detr_finetuned_cppe5

Object Detection
Transformers
Safetensors
conditional_detr
Generated from Trainer
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README.md CHANGED
@@ -1,7 +1,7 @@
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  ---
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  library_name: transformers
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  license: apache-2.0
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- base_model: microsoft/conditional-detr-resnet-50
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -14,31 +14,31 @@ should probably proofread and complete it, then remove this comment. -->
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  # detr_finetuned_cppe5
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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: 1.3299
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- - Map: 0.0678
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- - Map 50: 0.1359
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- - Map 75: 0.0621
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- - Map Small: 0.0953
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- - Map Medium: 0.0947
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- - Map Large: 0.0707
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- - Mar 1: 0.123
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- - Mar 10: 0.3315
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- - Mar 100: 0.4317
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- - Mar Small: 0.4556
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- - Mar Medium: 0.3046
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- - Mar Large: 0.4536
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- - Map Coverall: 0.1683
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- - Mar 100 Coverall: 0.5644
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- - Map Face Shield: 0.02
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- - Mar 100 Face Shield: 0.2595
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- - Map Gloves: 0.0512
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- - Mar 100 Gloves: 0.4817
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- - Map Goggles: 0.0345
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- - Mar 100 Goggles: 0.3015
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- - Map Mask: 0.0647
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- - Mar 100 Mask: 0.5511
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  ## Model description
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@@ -57,48 +57,78 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 5e-05
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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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: cosine
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- - num_epochs: 30
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  ### Training results
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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 | 2.0850 | 0.0082 | 0.0334 | 0.0018 | 0.001 | 0.0046 | 0.009 | 0.0157 | 0.0658 | 0.1123 | 0.0333 | 0.0983 | 0.1162 | 0.0321 | 0.2923 | 0.0 | 0.0051 | 0.0021 | 0.1098 | 0.0 | 0.0 | 0.0067 | 0.1542 |
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- | No log | 2.0 | 214 | 1.7616 | 0.0139 | 0.0413 | 0.0061 | 0.0005 | 0.047 | 0.0148 | 0.032 | 0.097 | 0.1704 | 0.0556 | 0.1232 | 0.1787 | 0.0492 | 0.3464 | 0.0 | 0.0 | 0.0065 | 0.1768 | 0.0 | 0.0 | 0.0136 | 0.3289 |
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- | No log | 3.0 | 321 | 1.8263 | 0.0213 | 0.068 | 0.0086 | 0.0047 | 0.0567 | 0.0241 | 0.036 | 0.1253 | 0.2014 | 0.1111 | 0.1304 | 0.2085 | 0.0659 | 0.5212 | 0.0001 | 0.0013 | 0.0152 | 0.1759 | 0.0 | 0.0 | 0.0252 | 0.3084 |
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- | No log | 4.0 | 428 | 1.7623 | 0.0254 | 0.066 | 0.0157 | 0.0151 | 0.0437 | 0.0265 | 0.0439 | 0.1393 | 0.2158 | 0.1111 | 0.1517 | 0.2252 | 0.0757 | 0.4342 | 0.0 | 0.0 | 0.0107 | 0.2241 | 0.0 | 0.0 | 0.0405 | 0.4209 |
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- | 2.7673 | 5.0 | 535 | 1.7402 | 0.0137 | 0.041 | 0.0051 | 0.005 | 0.0735 | 0.0146 | 0.0379 | 0.1097 | 0.1786 | 0.2556 | 0.1474 | 0.1831 | 0.046 | 0.3851 | 0.0012 | 0.0291 | 0.0021 | 0.1045 | 0.0 | 0.0 | 0.0191 | 0.3742 |
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- | 2.7673 | 6.0 | 642 | 1.6179 | 0.0256 | 0.0682 | 0.019 | 0.0089 | 0.0539 | 0.0273 | 0.0474 | 0.1269 | 0.2129 | 0.1778 | 0.141 | 0.2251 | 0.0673 | 0.423 | 0.001 | 0.0139 | 0.0022 | 0.1129 | 0.0074 | 0.0908 | 0.0503 | 0.424 |
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- | 2.7673 | 7.0 | 749 | 1.6199 | 0.0292 | 0.0672 | 0.0226 | 0.0053 | 0.0555 | 0.031 | 0.0546 | 0.145 | 0.2148 | 0.1333 | 0.1666 | 0.2271 | 0.0855 | 0.3883 | 0.0109 | 0.0139 | 0.0042 | 0.1357 | 0.0084 | 0.1015 | 0.0369 | 0.4347 |
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- | 2.7673 | 8.0 | 856 | 1.5755 | 0.029 | 0.0672 | 0.0219 | 0.0116 | 0.0722 | 0.0308 | 0.0558 | 0.1596 | 0.2416 | 0.2222 | 0.2017 | 0.2514 | 0.0858 | 0.4532 | 0.0026 | 0.0835 | 0.0036 | 0.1219 | 0.0095 | 0.1062 | 0.0436 | 0.4431 |
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- | 2.7673 | 9.0 | 963 | 1.5618 | 0.0338 | 0.0765 | 0.0277 | 0.0203 | 0.0719 | 0.0345 | 0.0474 | 0.1673 | 0.2511 | 0.2667 | 0.1616 | 0.2654 | 0.1082 | 0.5171 | 0.0002 | 0.0051 | 0.0198 | 0.2263 | 0.0047 | 0.0723 | 0.0362 | 0.4347 |
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- | 1.5478 | 10.0 | 1070 | 1.5111 | 0.0384 | 0.087 | 0.0319 | 0.065 | 0.0612 | 0.0407 | 0.0642 | 0.1982 | 0.2903 | 0.3222 | 0.1896 | 0.3069 | 0.0963 | 0.5284 | 0.0026 | 0.0392 | 0.0341 | 0.2871 | 0.0137 | 0.16 | 0.0453 | 0.4369 |
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- | 1.5478 | 11.0 | 1177 | 1.5122 | 0.0403 | 0.0922 | 0.0333 | 0.1083 | 0.072 | 0.0431 | 0.0729 | 0.2024 | 0.2958 | 0.4333 | 0.213 | 0.3086 | 0.1113 | 0.545 | 0.0052 | 0.0494 | 0.0333 | 0.2897 | 0.0142 | 0.1646 | 0.0371 | 0.4302 |
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- | 1.5478 | 12.0 | 1284 | 1.5083 | 0.0443 | 0.0985 | 0.0355 | 0.0534 | 0.0833 | 0.0451 | 0.0801 | 0.2004 | 0.2943 | 0.2333 | 0.2097 | 0.3095 | 0.1221 | 0.5441 | 0.0008 | 0.0114 | 0.0404 | 0.3433 | 0.0108 | 0.12 | 0.0475 | 0.4529 |
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- | 1.5478 | 13.0 | 1391 | 1.5374 | 0.0397 | 0.0859 | 0.0314 | 0.0861 | 0.0688 | 0.0419 | 0.0689 | 0.2201 | 0.3134 | 0.2889 | 0.2209 | 0.3291 | 0.1162 | 0.5405 | 0.003 | 0.0671 | 0.0297 | 0.3187 | 0.011 | 0.1908 | 0.0389 | 0.4498 |
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- | 1.5478 | 14.0 | 1498 | 1.5145 | 0.0449 | 0.1019 | 0.0344 | 0.0438 | 0.0794 | 0.0454 | 0.0684 | 0.2017 | 0.2897 | 0.3222 | 0.2005 | 0.3029 | 0.1423 | 0.5784 | 0.0009 | 0.0316 | 0.0356 | 0.2991 | 0.0089 | 0.1138 | 0.0367 | 0.4253 |
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- | 1.4217 | 15.0 | 1605 | 1.4832 | 0.0488 | 0.1141 | 0.0366 | 0.0474 | 0.0845 | 0.052 | 0.0798 | 0.2294 | 0.3337 | 0.3778 | 0.2367 | 0.3474 | 0.1426 | 0.5577 | 0.0033 | 0.0759 | 0.0419 | 0.4018 | 0.0214 | 0.2108 | 0.0347 | 0.4222 |
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- | 1.4217 | 16.0 | 1712 | 1.4627 | 0.047 | 0.1086 | 0.0344 | 0.0654 | 0.0892 | 0.0471 | 0.0896 | 0.2317 | 0.3142 | 0.3111 | 0.2416 | 0.3254 | 0.1408 | 0.5464 | 0.0053 | 0.1025 | 0.0303 | 0.3022 | 0.0119 | 0.1508 | 0.0466 | 0.4689 |
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- | 1.4217 | 17.0 | 1819 | 1.4152 | 0.0548 | 0.1195 | 0.0462 | 0.1189 | 0.0943 | 0.0558 | 0.097 | 0.2685 | 0.3578 | 0.3556 | 0.2809 | 0.371 | 0.1493 | 0.5234 | 0.0082 | 0.119 | 0.0401 | 0.3884 | 0.0155 | 0.2123 | 0.061 | 0.5458 |
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- | 1.4217 | 18.0 | 1926 | 1.4076 | 0.0506 | 0.1097 | 0.0425 | 0.054 | 0.0801 | 0.051 | 0.1038 | 0.2696 | 0.3692 | 0.3333 | 0.2823 | 0.3858 | 0.1389 | 0.5671 | 0.0109 | 0.1544 | 0.0293 | 0.3746 | 0.0142 | 0.24 | 0.0597 | 0.5098 |
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- | 1.3356 | 19.0 | 2033 | 1.3879 | 0.0576 | 0.1206 | 0.0504 | 0.1236 | 0.0895 | 0.0598 | 0.1222 | 0.2867 | 0.3818 | 0.3556 | 0.2535 | 0.4032 | 0.1396 | 0.5689 | 0.0161 | 0.1506 | 0.0359 | 0.4071 | 0.0333 | 0.2692 | 0.0629 | 0.5129 |
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- | 1.3356 | 20.0 | 2140 | 1.3471 | 0.064 | 0.1333 | 0.0581 | 0.1344 | 0.0948 | 0.0664 | 0.1268 | 0.3056 | 0.3965 | 0.3889 | 0.2996 | 0.4138 | 0.1558 | 0.5532 | 0.0217 | 0.1911 | 0.0491 | 0.4554 | 0.0253 | 0.2569 | 0.068 | 0.5258 |
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- | 1.3356 | 21.0 | 2247 | 1.3539 | 0.0652 | 0.1366 | 0.0549 | 0.1063 | 0.0885 | 0.0679 | 0.1163 | 0.3217 | 0.4142 | 0.4333 | 0.2995 | 0.4336 | 0.1572 | 0.5802 | 0.0178 | 0.2051 | 0.0595 | 0.4826 | 0.0254 | 0.2631 | 0.0663 | 0.54 |
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- | 1.3356 | 22.0 | 2354 | 1.3476 | 0.0653 | 0.1307 | 0.0583 | 0.0702 | 0.0963 | 0.0675 | 0.1116 | 0.3069 | 0.4026 | 0.4556 | 0.2928 | 0.4192 | 0.1678 | 0.568 | 0.0145 | 0.2013 | 0.0565 | 0.4848 | 0.0269 | 0.2354 | 0.061 | 0.5236 |
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- | 1.3356 | 23.0 | 2461 | 1.3519 | 0.064 | 0.1276 | 0.0584 | 0.0643 | 0.0999 | 0.0666 | 0.1169 | 0.3317 | 0.4235 | 0.4222 | 0.3046 | 0.4442 | 0.1609 | 0.5527 | 0.0178 | 0.2544 | 0.05 | 0.4674 | 0.0292 | 0.3 | 0.062 | 0.5431 |
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- | 1.2549 | 24.0 | 2568 | 1.3419 | 0.065 | 0.1327 | 0.058 | 0.0643 | 0.1002 | 0.0678 | 0.118 | 0.3265 | 0.4157 | 0.4222 | 0.295 | 0.4359 | 0.161 | 0.5833 | 0.0174 | 0.238 | 0.0546 | 0.4679 | 0.0314 | 0.26 | 0.0608 | 0.5293 |
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- | 1.2549 | 25.0 | 2675 | 1.3354 | 0.0687 | 0.1351 | 0.0617 | 0.0811 | 0.0904 | 0.0725 | 0.1241 | 0.3242 | 0.4217 | 0.4667 | 0.2988 | 0.4422 | 0.1643 | 0.5779 | 0.0179 | 0.2468 | 0.0521 | 0.4723 | 0.044 | 0.2646 | 0.0651 | 0.5467 |
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- | 1.2549 | 26.0 | 2782 | 1.3312 | 0.0679 | 0.1364 | 0.0626 | 0.083 | 0.0894 | 0.0711 | 0.1246 | 0.329 | 0.4268 | 0.4556 | 0.3039 | 0.4472 | 0.1683 | 0.5676 | 0.0201 | 0.2544 | 0.0523 | 0.4857 | 0.0349 | 0.2862 | 0.0641 | 0.54 |
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- | 1.2549 | 27.0 | 2889 | 1.3333 | 0.0667 | 0.1347 | 0.0615 | 0.0919 | 0.0904 | 0.0695 | 0.1237 | 0.3287 | 0.4308 | 0.4667 | 0.3055 | 0.4528 | 0.1653 | 0.568 | 0.019 | 0.2481 | 0.0513 | 0.4817 | 0.0315 | 0.3031 | 0.0666 | 0.5529 |
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- | 1.2549 | 28.0 | 2996 | 1.3306 | 0.0666 | 0.1343 | 0.0609 | 0.098 | 0.0899 | 0.0692 | 0.1248 | 0.3286 | 0.4284 | 0.4667 | 0.3021 | 0.4502 | 0.1666 | 0.5635 | 0.0188 | 0.2468 | 0.051 | 0.4777 | 0.0315 | 0.3 | 0.0652 | 0.5538 |
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- | 1.2213 | 29.0 | 3103 | 1.3300 | 0.0678 | 0.1358 | 0.0618 | 0.0955 | 0.0948 | 0.0707 | 0.1238 | 0.3319 | 0.432 | 0.4556 | 0.3046 | 0.454 | 0.1683 | 0.5649 | 0.0201 | 0.2595 | 0.0511 | 0.4826 | 0.0345 | 0.3015 | 0.0648 | 0.5516 |
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- | 1.2213 | 30.0 | 3210 | 1.3299 | 0.0678 | 0.1359 | 0.0621 | 0.0953 | 0.0947 | 0.0707 | 0.123 | 0.3315 | 0.4317 | 0.4556 | 0.3046 | 0.4536 | 0.1683 | 0.5644 | 0.02 | 0.2595 | 0.0512 | 0.4817 | 0.0345 | 0.3015 | 0.0647 | 0.5511 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  ---
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  library_name: transformers
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  license: apache-2.0
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+ base_model: toukapy/detr_finetuned_cppe5
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  # detr_finetuned_cppe5
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+ This model is a fine-tuned version of [toukapy/detr_finetuned_cppe5](https://huggingface.co/toukapy/detr_finetuned_cppe5) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1348
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+ - Map: 0.2218
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+ - Map 50: 0.3828
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+ - Map 75: 0.2171
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+ - Map Small: 0.25
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+ - Map Medium: 0.1585
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+ - Map Large: 0.2409
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+ - Mar 1: 0.2038
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+ - Mar 10: 0.5442
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+ - Mar 100: 0.6037
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+ - Mar Small: 0.4333
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+ - Mar Medium: 0.4272
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+ - Mar Large: 0.6401
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+ - Map Coverall: 0.4068
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+ - Mar 100 Coverall: 0.6207
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+ - Map Face Shield: 0.1384
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+ - Mar 100 Face Shield: 0.5684
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+ - Map Gloves: 0.2036
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+ - Mar 100 Gloves: 0.6545
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+ - Map Goggles: 0.1505
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+ - Mar 100 Goggles: 0.5462
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+ - Map Mask: 0.2099
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+ - Mar 100 Mask: 0.6289
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  ## Model description
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  ### Training hyperparameters
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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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: cosine
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+ - num_epochs: 60
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  ### Training results
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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 | 1.4728 | 0.0576 | 0.1377 | 0.0406 | 0.0513 | 0.105 | 0.0581 | 0.081 | 0.3151 | 0.3917 | 0.3 | 0.2766 | 0.4112 | 0.1353 | 0.4766 | 0.013 | 0.2949 | 0.061 | 0.4509 | 0.012 | 0.2554 | 0.0667 | 0.4809 |
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+ | No log | 2.0 | 214 | 1.3775 | 0.0856 | 0.1821 | 0.0689 | 0.1145 | 0.1106 | 0.0881 | 0.1261 | 0.3593 | 0.4296 | 0.4 | 0.316 | 0.4493 | 0.2013 | 0.5986 | 0.0258 | 0.3203 | 0.0968 | 0.4263 | 0.0196 | 0.2738 | 0.0846 | 0.5289 |
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+ | No log | 3.0 | 321 | 1.4530 | 0.072 | 0.1514 | 0.0567 | 0.0959 | 0.1114 | 0.0754 | 0.0935 | 0.3448 | 0.4296 | 0.3444 | 0.3285 | 0.4492 | 0.1892 | 0.5342 | 0.0189 | 0.3392 | 0.0526 | 0.3362 | 0.0278 | 0.3831 | 0.0717 | 0.5551 |
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+ | No log | 4.0 | 428 | 1.4093 | 0.078 | 0.1703 | 0.064 | 0.0631 | 0.0937 | 0.0802 | 0.0979 | 0.3576 | 0.4514 | 0.3111 | 0.3132 | 0.4766 | 0.2188 | 0.5896 | 0.0143 | 0.3266 | 0.0654 | 0.4656 | 0.0163 | 0.3754 | 0.075 | 0.4996 |
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+ | 1.2913 | 5.0 | 535 | 1.3523 | 0.0935 | 0.1946 | 0.0813 | 0.1433 | 0.0977 | 0.0983 | 0.1373 | 0.3945 | 0.4669 | 0.4667 | 0.3354 | 0.4883 | 0.2406 | 0.5775 | 0.0264 | 0.3658 | 0.0824 | 0.5312 | 0.0186 | 0.3446 | 0.0992 | 0.5151 |
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+ | 1.2913 | 6.0 | 642 | 1.3167 | 0.1168 | 0.2413 | 0.0967 | 0.2318 | 0.1052 | 0.1257 | 0.144 | 0.406 | 0.4793 | 0.5111 | 0.3539 | 0.4988 | 0.2589 | 0.6032 | 0.0318 | 0.3101 | 0.1211 | 0.558 | 0.0347 | 0.3954 | 0.1372 | 0.5298 |
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+ | 1.2913 | 7.0 | 749 | 1.3705 | 0.0867 | 0.179 | 0.0789 | 0.1412 | 0.0866 | 0.0908 | 0.1079 | 0.3493 | 0.4314 | 0.4333 | 0.3251 | 0.4481 | 0.2583 | 0.5991 | 0.0217 | 0.3266 | 0.0579 | 0.4496 | 0.0192 | 0.3015 | 0.0766 | 0.4804 |
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+ | 1.2913 | 8.0 | 856 | 1.3039 | 0.1226 | 0.2434 | 0.1086 | 0.2239 | 0.1174 | 0.1324 | 0.1441 | 0.4055 | 0.4866 | 0.4333 | 0.3496 | 0.5108 | 0.271 | 0.5793 | 0.049 | 0.3367 | 0.1065 | 0.5491 | 0.0383 | 0.3892 | 0.1481 | 0.5787 |
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+ | 1.2913 | 9.0 | 963 | 1.3037 | 0.1285 | 0.2571 | 0.1136 | 0.2093 | 0.1105 | 0.1389 | 0.1331 | 0.4177 | 0.4944 | 0.4 | 0.3407 | 0.5242 | 0.2914 | 0.5901 | 0.033 | 0.3228 | 0.119 | 0.5652 | 0.0486 | 0.4154 | 0.1505 | 0.5787 |
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+ | 1.2347 | 10.0 | 1070 | 1.3257 | 0.1182 | 0.2333 | 0.1088 | 0.1854 | 0.1144 | 0.1254 | 0.1297 | 0.4006 | 0.4731 | 0.4 | 0.3409 | 0.4955 | 0.2874 | 0.5865 | 0.0498 | 0.3671 | 0.1011 | 0.5696 | 0.0258 | 0.3446 | 0.1269 | 0.4978 |
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+ | 1.2347 | 11.0 | 1177 | 1.3714 | 0.1009 | 0.2112 | 0.0859 | 0.2207 | 0.1094 | 0.105 | 0.1146 | 0.3726 | 0.4489 | 0.4222 | 0.3339 | 0.4708 | 0.2602 | 0.5306 | 0.0248 | 0.3342 | 0.0933 | 0.4848 | 0.0196 | 0.34 | 0.1065 | 0.5551 |
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+ | 1.2347 | 12.0 | 1284 | 1.2914 | 0.114 | 0.2345 | 0.0975 | 0.2238 | 0.1157 | 0.1198 | 0.1135 | 0.4098 | 0.4941 | 0.5333 | 0.3461 | 0.5214 | 0.2967 | 0.582 | 0.0365 | 0.3734 | 0.0878 | 0.5496 | 0.033 | 0.3769 | 0.116 | 0.5884 |
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+ | 1.2347 | 13.0 | 1391 | 1.2971 | 0.1276 | 0.2576 | 0.115 | 0.0742 | 0.1371 | 0.1376 | 0.1431 | 0.4174 | 0.4908 | 0.2778 | 0.3695 | 0.5134 | 0.3022 | 0.5901 | 0.0589 | 0.3595 | 0.1094 | 0.5714 | 0.0399 | 0.3862 | 0.1277 | 0.5467 |
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+ | 1.2347 | 14.0 | 1498 | 1.2865 | 0.1261 | 0.2526 | 0.1238 | 0.2737 | 0.1314 | 0.1335 | 0.1451 | 0.4131 | 0.4924 | 0.4556 | 0.3545 | 0.5167 | 0.2817 | 0.6032 | 0.0381 | 0.3633 | 0.1448 | 0.542 | 0.0458 | 0.3754 | 0.1201 | 0.5782 |
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+ | 1.1962 | 15.0 | 1605 | 1.2636 | 0.1133 | 0.2255 | 0.1028 | 0.177 | 0.1201 | 0.1213 | 0.1229 | 0.3957 | 0.4991 | 0.4444 | 0.3547 | 0.5259 | 0.3056 | 0.5766 | 0.0305 | 0.357 | 0.0826 | 0.5562 | 0.0295 | 0.3969 | 0.1185 | 0.6089 |
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+ | 1.1962 | 16.0 | 1712 | 1.2621 | 0.1225 | 0.2436 | 0.1101 | 0.1751 | 0.1179 | 0.1282 | 0.1194 | 0.424 | 0.5104 | 0.3667 | 0.3851 | 0.5341 | 0.2991 | 0.582 | 0.0368 | 0.3937 | 0.1276 | 0.5839 | 0.0274 | 0.3938 | 0.1215 | 0.5987 |
88
+ | 1.1962 | 17.0 | 1819 | 1.2575 | 0.1134 | 0.2228 | 0.103 | 0.2661 | 0.1192 | 0.1207 | 0.1168 | 0.4327 | 0.5074 | 0.4333 | 0.3504 | 0.5362 | 0.2773 | 0.5887 | 0.0337 | 0.4177 | 0.1106 | 0.5634 | 0.0263 | 0.3769 | 0.1191 | 0.5902 |
89
+ | 1.1962 | 18.0 | 1926 | 1.2579 | 0.1396 | 0.2539 | 0.136 | 0.2361 | 0.1246 | 0.1469 | 0.1634 | 0.4522 | 0.5309 | 0.4333 | 0.3661 | 0.5624 | 0.3251 | 0.5941 | 0.06 | 0.481 | 0.1185 | 0.5714 | 0.038 | 0.4385 | 0.1561 | 0.5693 |
90
+ | 1.1126 | 19.0 | 2033 | 1.2450 | 0.1353 | 0.2652 | 0.1277 | 0.2612 | 0.1217 | 0.1454 | 0.1354 | 0.4442 | 0.5224 | 0.4444 | 0.3859 | 0.5471 | 0.3129 | 0.5734 | 0.0564 | 0.4646 | 0.1203 | 0.6004 | 0.0523 | 0.4277 | 0.1348 | 0.5458 |
91
+ | 1.1126 | 20.0 | 2140 | 1.2278 | 0.1362 | 0.2649 | 0.1322 | 0.2935 | 0.1242 | 0.1435 | 0.1564 | 0.452 | 0.5258 | 0.3667 | 0.3525 | 0.5566 | 0.3109 | 0.605 | 0.05 | 0.457 | 0.1409 | 0.5844 | 0.038 | 0.4123 | 0.1409 | 0.5702 |
92
+ | 1.1126 | 21.0 | 2247 | 1.2046 | 0.1359 | 0.2631 | 0.1215 | 0.3752 | 0.1267 | 0.1432 | 0.1434 | 0.4576 | 0.5391 | 0.5222 | 0.4336 | 0.5596 | 0.3291 | 0.5955 | 0.0458 | 0.457 | 0.1223 | 0.5906 | 0.0447 | 0.4631 | 0.1377 | 0.5893 |
93
+ | 1.1126 | 22.0 | 2354 | 1.2224 | 0.1524 | 0.2793 | 0.1477 | 0.2993 | 0.133 | 0.1616 | 0.1557 | 0.4721 | 0.5387 | 0.5 | 0.365 | 0.5694 | 0.3378 | 0.6005 | 0.055 | 0.4873 | 0.1613 | 0.5777 | 0.0696 | 0.4585 | 0.1385 | 0.5693 |
94
+ | 1.1126 | 23.0 | 2461 | 1.1996 | 0.1568 | 0.2861 | 0.1499 | 0.2102 | 0.1397 | 0.1709 | 0.1636 | 0.4779 | 0.5574 | 0.3333 | 0.403 | 0.5883 | 0.3615 | 0.6108 | 0.0621 | 0.4646 | 0.1275 | 0.6076 | 0.0643 | 0.4892 | 0.1683 | 0.6147 |
95
+ | 1.0432 | 24.0 | 2568 | 1.2302 | 0.1552 | 0.2941 | 0.1441 | 0.2166 | 0.12 | 0.1671 | 0.1635 | 0.4638 | 0.5405 | 0.3444 | 0.3936 | 0.5716 | 0.3594 | 0.6239 | 0.0549 | 0.4506 | 0.1452 | 0.5714 | 0.0693 | 0.4892 | 0.1474 | 0.5676 |
96
+ | 1.0432 | 25.0 | 2675 | 1.1967 | 0.1747 | 0.3135 | 0.177 | 0.2256 | 0.1508 | 0.1863 | 0.1772 | 0.4987 | 0.562 | 0.3667 | 0.384 | 0.595 | 0.3741 | 0.6167 | 0.0693 | 0.5481 | 0.1844 | 0.6161 | 0.076 | 0.4415 | 0.1698 | 0.5876 |
97
+ | 1.0432 | 26.0 | 2782 | 1.1815 | 0.1576 | 0.2967 | 0.1497 | 0.3017 | 0.1551 | 0.1633 | 0.1453 | 0.4962 | 0.5588 | 0.4222 | 0.424 | 0.5855 | 0.3463 | 0.6023 | 0.0465 | 0.457 | 0.1508 | 0.633 | 0.0698 | 0.4969 | 0.1744 | 0.6049 |
98
+ | 1.0432 | 27.0 | 2889 | 1.1788 | 0.1561 | 0.2869 | 0.1427 | 0.3365 | 0.1197 | 0.1658 | 0.1492 | 0.4796 | 0.571 | 0.4667 | 0.4035 | 0.6024 | 0.3687 | 0.6257 | 0.0506 | 0.5177 | 0.1464 | 0.6379 | 0.0617 | 0.4615 | 0.153 | 0.612 |
99
+ | 1.0432 | 28.0 | 2996 | 1.1831 | 0.1634 | 0.298 | 0.1602 | 0.41 | 0.1289 | 0.1742 | 0.16 | 0.4992 | 0.5716 | 0.4889 | 0.388 | 0.6072 | 0.3625 | 0.6198 | 0.0638 | 0.481 | 0.1614 | 0.6379 | 0.0719 | 0.5292 | 0.1574 | 0.5902 |
100
+ | 0.9815 | 29.0 | 3103 | 1.1504 | 0.1819 | 0.3319 | 0.1842 | 0.385 | 0.1385 | 0.1991 | 0.1933 | 0.5125 | 0.5859 | 0.5444 | 0.4026 | 0.6205 | 0.3634 | 0.5968 | 0.1012 | 0.5392 | 0.1867 | 0.6326 | 0.069 | 0.5308 | 0.1889 | 0.6302 |
101
+ | 0.9815 | 30.0 | 3210 | 1.1551 | 0.1685 | 0.305 | 0.1678 | 0.2734 | 0.1439 | 0.1829 | 0.1764 | 0.5099 | 0.5807 | 0.4667 | 0.4089 | 0.6162 | 0.3566 | 0.6315 | 0.0858 | 0.5418 | 0.1558 | 0.6085 | 0.0651 | 0.5077 | 0.179 | 0.6138 |
102
+ | 0.9815 | 31.0 | 3317 | 1.1503 | 0.1716 | 0.3165 | 0.1654 | 0.2964 | 0.1458 | 0.1828 | 0.1714 | 0.5028 | 0.5738 | 0.5 | 0.4066 | 0.6053 | 0.3815 | 0.6176 | 0.0809 | 0.5291 | 0.1791 | 0.6509 | 0.0589 | 0.48 | 0.1575 | 0.5916 |
103
+ | 0.9815 | 32.0 | 3424 | 1.1930 | 0.1617 | 0.3028 | 0.1523 | 0.2053 | 0.15 | 0.1725 | 0.1466 | 0.5019 | 0.5698 | 0.4222 | 0.4119 | 0.601 | 0.3764 | 0.609 | 0.0664 | 0.5228 | 0.1473 | 0.6263 | 0.0669 | 0.52 | 0.1514 | 0.5711 |
104
+ | 0.9111 | 33.0 | 3531 | 1.1475 | 0.1843 | 0.3324 | 0.1749 | 0.2151 | 0.1673 | 0.1954 | 0.1782 | 0.518 | 0.5827 | 0.3667 | 0.4129 | 0.6159 | 0.3722 | 0.6095 | 0.0625 | 0.5139 | 0.2035 | 0.6429 | 0.0792 | 0.5215 | 0.2041 | 0.6258 |
105
+ | 0.9111 | 34.0 | 3638 | 1.1393 | 0.1896 | 0.3416 | 0.1848 | 0.2793 | 0.1843 | 0.1996 | 0.1779 | 0.5045 | 0.5834 | 0.4556 | 0.4326 | 0.6121 | 0.3853 | 0.6374 | 0.0859 | 0.557 | 0.188 | 0.6384 | 0.0964 | 0.4631 | 0.1922 | 0.6213 |
106
+ | 0.9111 | 35.0 | 3745 | 1.1390 | 0.1821 | 0.3296 | 0.1772 | 0.1976 | 0.1588 | 0.1951 | 0.1766 | 0.5242 | 0.5913 | 0.3778 | 0.4181 | 0.6268 | 0.3804 | 0.6239 | 0.0891 | 0.5519 | 0.1824 | 0.6348 | 0.08 | 0.5215 | 0.1787 | 0.6244 |
107
+ | 0.9111 | 36.0 | 3852 | 1.1436 | 0.1796 | 0.3259 | 0.1734 | 0.2158 | 0.1483 | 0.1927 | 0.1773 | 0.5039 | 0.5781 | 0.3889 | 0.4132 | 0.612 | 0.3821 | 0.6144 | 0.0908 | 0.5152 | 0.1612 | 0.6482 | 0.0841 | 0.4985 | 0.1799 | 0.6142 |
108
+ | 0.9111 | 37.0 | 3959 | 1.1582 | 0.1926 | 0.3435 | 0.1946 | 0.2217 | 0.1719 | 0.2054 | 0.1912 | 0.5207 | 0.5882 | 0.4 | 0.4268 | 0.6215 | 0.4011 | 0.6243 | 0.1066 | 0.5494 | 0.1681 | 0.6344 | 0.0878 | 0.5308 | 0.1993 | 0.6022 |
109
+ | 0.8415 | 38.0 | 4066 | 1.1340 | 0.1934 | 0.3428 | 0.188 | 0.2015 | 0.1754 | 0.2055 | 0.1922 | 0.5233 | 0.5914 | 0.3556 | 0.4282 | 0.6251 | 0.3868 | 0.6063 | 0.1029 | 0.5405 | 0.1725 | 0.6518 | 0.1214 | 0.5338 | 0.1834 | 0.6244 |
110
+ | 0.8415 | 39.0 | 4173 | 1.1374 | 0.1939 | 0.3408 | 0.1842 | 0.2191 | 0.1596 | 0.2085 | 0.1849 | 0.5219 | 0.5947 | 0.4111 | 0.4206 | 0.6303 | 0.3979 | 0.6261 | 0.0979 | 0.5342 | 0.1807 | 0.6571 | 0.113 | 0.5415 | 0.18 | 0.6147 |
111
+ | 0.8415 | 40.0 | 4280 | 1.1291 | 0.1993 | 0.3499 | 0.1909 | 0.2219 | 0.1538 | 0.217 | 0.1944 | 0.535 | 0.5949 | 0.4222 | 0.426 | 0.6303 | 0.3866 | 0.6194 | 0.1319 | 0.5367 | 0.1814 | 0.6536 | 0.0976 | 0.5369 | 0.1989 | 0.628 |
112
+ | 0.8415 | 41.0 | 4387 | 1.1614 | 0.2023 | 0.3533 | 0.2052 | 0.1967 | 0.176 | 0.2177 | 0.1885 | 0.5219 | 0.5903 | 0.3444 | 0.4128 | 0.6275 | 0.4135 | 0.6347 | 0.1297 | 0.543 | 0.1814 | 0.6469 | 0.0997 | 0.5369 | 0.1872 | 0.5902 |
113
+ | 0.8415 | 42.0 | 4494 | 1.1548 | 0.189 | 0.3374 | 0.1904 | 0.2249 | 0.1539 | 0.2037 | 0.183 | 0.5192 | 0.5862 | 0.4 | 0.4137 | 0.6217 | 0.3969 | 0.6171 | 0.0915 | 0.5038 | 0.1744 | 0.6353 | 0.0989 | 0.5569 | 0.1835 | 0.6178 |
114
+ | 0.7841 | 43.0 | 4601 | 1.1335 | 0.2184 | 0.3761 | 0.2232 | 0.2424 | 0.1704 | 0.2331 | 0.2047 | 0.5403 | 0.5983 | 0.4444 | 0.418 | 0.6347 | 0.4118 | 0.6216 | 0.1268 | 0.543 | 0.21 | 0.6536 | 0.143 | 0.5615 | 0.2002 | 0.6116 |
115
+ | 0.7841 | 44.0 | 4708 | 1.1404 | 0.2084 | 0.366 | 0.2102 | 0.3102 | 0.1644 | 0.2242 | 0.2008 | 0.5308 | 0.5908 | 0.4556 | 0.4021 | 0.6289 | 0.4013 | 0.6131 | 0.123 | 0.5354 | 0.1965 | 0.6478 | 0.1267 | 0.54 | 0.1944 | 0.6178 |
116
+ | 0.7841 | 45.0 | 4815 | 1.1449 | 0.2062 | 0.3577 | 0.2024 | 0.2299 | 0.1483 | 0.2249 | 0.1992 | 0.5339 | 0.5944 | 0.4222 | 0.405 | 0.6334 | 0.4039 | 0.6158 | 0.1361 | 0.5456 | 0.1846 | 0.6469 | 0.1132 | 0.5446 | 0.1933 | 0.6191 |
117
+ | 0.7841 | 46.0 | 4922 | 1.1400 | 0.2072 | 0.3586 | 0.2053 | 0.2425 | 0.1587 | 0.2246 | 0.1998 | 0.5361 | 0.5945 | 0.4222 | 0.4179 | 0.6313 | 0.4006 | 0.6194 | 0.1301 | 0.5481 | 0.1836 | 0.6379 | 0.1237 | 0.5369 | 0.1982 | 0.6302 |
118
+ | 0.7353 | 47.0 | 5029 | 1.1411 | 0.2068 | 0.3624 | 0.2035 | 0.2337 | 0.1474 | 0.2251 | 0.2036 | 0.5326 | 0.595 | 0.3889 | 0.4249 | 0.63 | 0.4014 | 0.6194 | 0.1261 | 0.543 | 0.1922 | 0.6536 | 0.1153 | 0.5431 | 0.1988 | 0.616 |
119
+ | 0.7353 | 48.0 | 5136 | 1.1374 | 0.2084 | 0.3613 | 0.2021 | 0.2473 | 0.1526 | 0.227 | 0.2025 | 0.5344 | 0.5959 | 0.3667 | 0.4298 | 0.6303 | 0.4052 | 0.6203 | 0.1197 | 0.557 | 0.1924 | 0.6504 | 0.1233 | 0.5369 | 0.2011 | 0.6151 |
120
+ | 0.7353 | 49.0 | 5243 | 1.1376 | 0.2062 | 0.3565 | 0.1993 | 0.2511 | 0.151 | 0.2239 | 0.1943 | 0.5358 | 0.6022 | 0.4222 | 0.4257 | 0.6381 | 0.4026 | 0.6203 | 0.12 | 0.5671 | 0.1868 | 0.6478 | 0.1275 | 0.5523 | 0.1941 | 0.6236 |
121
+ | 0.7353 | 50.0 | 5350 | 1.1358 | 0.2144 | 0.372 | 0.2115 | 0.2518 | 0.1576 | 0.2323 | 0.2051 | 0.5387 | 0.5982 | 0.4 | 0.4209 | 0.6355 | 0.4063 | 0.6149 | 0.127 | 0.5557 | 0.1935 | 0.6487 | 0.1375 | 0.5446 | 0.2079 | 0.6271 |
122
+ | 0.7353 | 51.0 | 5457 | 1.1373 | 0.2139 | 0.372 | 0.2107 | 0.2413 | 0.161 | 0.2322 | 0.2041 | 0.5384 | 0.6004 | 0.4222 | 0.4198 | 0.6373 | 0.4054 | 0.6194 | 0.1292 | 0.5557 | 0.1934 | 0.6513 | 0.1333 | 0.5446 | 0.2079 | 0.6311 |
123
+ | 0.6951 | 52.0 | 5564 | 1.1437 | 0.2146 | 0.375 | 0.2091 | 0.2376 | 0.1652 | 0.2326 | 0.2007 | 0.5317 | 0.5968 | 0.3778 | 0.4268 | 0.6326 | 0.4053 | 0.6113 | 0.1289 | 0.5443 | 0.1985 | 0.6527 | 0.134 | 0.5492 | 0.2065 | 0.6267 |
124
+ | 0.6951 | 53.0 | 5671 | 1.1379 | 0.2181 | 0.3803 | 0.2151 | 0.2481 | 0.1592 | 0.2357 | 0.2077 | 0.5359 | 0.5989 | 0.4333 | 0.4255 | 0.6346 | 0.4043 | 0.6162 | 0.1341 | 0.5532 | 0.2027 | 0.6504 | 0.1389 | 0.5477 | 0.2103 | 0.6271 |
125
+ | 0.6951 | 54.0 | 5778 | 1.1353 | 0.2166 | 0.3763 | 0.2097 | 0.25 | 0.1647 | 0.2338 | 0.2037 | 0.5376 | 0.5988 | 0.4333 | 0.4263 | 0.6338 | 0.4067 | 0.6203 | 0.126 | 0.543 | 0.1993 | 0.6522 | 0.1404 | 0.5508 | 0.2107 | 0.6276 |
126
+ | 0.6951 | 55.0 | 5885 | 1.1323 | 0.2189 | 0.3786 | 0.2139 | 0.2498 | 0.1584 | 0.2367 | 0.2038 | 0.5379 | 0.6029 | 0.4333 | 0.4258 | 0.6388 | 0.4089 | 0.6212 | 0.1319 | 0.5557 | 0.2011 | 0.6522 | 0.1423 | 0.5538 | 0.2102 | 0.6316 |
127
+ | 0.6951 | 56.0 | 5992 | 1.1332 | 0.2201 | 0.3802 | 0.2153 | 0.2497 | 0.1609 | 0.2388 | 0.202 | 0.5406 | 0.6045 | 0.4333 | 0.4292 | 0.6409 | 0.4053 | 0.6216 | 0.1385 | 0.5658 | 0.2017 | 0.654 | 0.1444 | 0.5492 | 0.2107 | 0.632 |
128
+ | 0.6751 | 57.0 | 6099 | 1.1343 | 0.2219 | 0.3832 | 0.2166 | 0.25 | 0.1581 | 0.241 | 0.2043 | 0.5418 | 0.6027 | 0.4333 | 0.428 | 0.6387 | 0.4054 | 0.6189 | 0.1386 | 0.5646 | 0.204 | 0.6545 | 0.1511 | 0.5477 | 0.2103 | 0.628 |
129
+ | 0.6751 | 58.0 | 6206 | 1.1348 | 0.2217 | 0.383 | 0.217 | 0.25 | 0.1584 | 0.2405 | 0.2038 | 0.5425 | 0.6031 | 0.4333 | 0.4272 | 0.6394 | 0.4062 | 0.6194 | 0.138 | 0.5658 | 0.2034 | 0.6545 | 0.1507 | 0.5462 | 0.2102 | 0.6298 |
130
+ | 0.6751 | 59.0 | 6313 | 1.1348 | 0.2219 | 0.3828 | 0.2171 | 0.25 | 0.1586 | 0.2409 | 0.2038 | 0.5432 | 0.6039 | 0.4333 | 0.4272 | 0.6403 | 0.407 | 0.6207 | 0.1384 | 0.5696 | 0.2036 | 0.654 | 0.1504 | 0.5462 | 0.2101 | 0.6289 |
131
+ | 0.6751 | 60.0 | 6420 | 1.1348 | 0.2218 | 0.3828 | 0.2171 | 0.25 | 0.1585 | 0.2409 | 0.2038 | 0.5442 | 0.6037 | 0.4333 | 0.4272 | 0.6401 | 0.4068 | 0.6207 | 0.1384 | 0.5684 | 0.2036 | 0.6545 | 0.1505 | 0.5462 | 0.2099 | 0.6289 |
132
 
133
 
134
  ### Framework versions
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