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detr-arrows

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End of training

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  1. README.md +47 -47
  2. model.safetensors +1 -1
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README.md CHANGED
@@ -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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0723
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- - Map: 0.2517
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- - Map 50: 0.4548
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- - Map 75: 0.257
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- - Map Small: 0.2517
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  - Map Medium: -1.0
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  - Map Large: -1.0
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- - Mar 1: 0.1521
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- - Mar 10: 0.6417
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- - Mar 100: 0.6542
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- - Mar Small: 0.6542
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  - Mar Medium: -1.0
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  - Mar Large: -1.0
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- - Map Left: 0.3868
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- - Mar 100 Left: 0.775
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  - Map Right: -1.0
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  - Mar 100 Right: -1.0
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- - Map Up: 0.3093
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- - Mar 100 Up: 0.7667
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- - Map Down: 0.0803
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- - Mar 100 Down: 0.7
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- - Map ?: 0.2304
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- - Mar 100 ?: 0.375
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  ## Model description
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@@ -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 Left | Mar 100 Left | Map Right | Mar 100 Right | Map Up | Mar 100 Up | Map Down | Mar 100 Down | Map ? | Mar 100 ? |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:--------:|:------------:|:---------:|:-------------:|:------:|:----------:|:--------:|:------------:|:------:|:---------:|
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- | No log | 1.0 | 8 | 22.5843 | 0.0006 | 0.0029 | 0.0 | 0.0008 | -1.0 | -1.0 | 0.0 | 0.0 | 0.05 | 0.05 | -1.0 | -1.0 | 0.0024 | 0.2 | -1.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | No log | 2.0 | 16 | 7.9952 | 0.0004 | 0.0015 | 0.0 | 0.0005 | -1.0 | -1.0 | 0.0 | 0.0 | 0.0375 | 0.0375 | -1.0 | -1.0 | 0.0018 | 0.15 | -1.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | No log | 3.0 | 24 | 3.5489 | 0.0185 | 0.0727 | 0.0028 | 0.0212 | -1.0 | -1.0 | 0.05 | 0.1104 | 0.1917 | 0.1917 | -1.0 | -1.0 | 0.0246 | 0.4 | -1.0 | -1.0 | 0.0496 | 0.3667 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | No log | 4.0 | 32 | 2.4717 | 0.027 | 0.1199 | 0.0 | 0.0275 | -1.0 | -1.0 | 0.0292 | 0.15 | 0.1688 | 0.1688 | -1.0 | -1.0 | 0.0515 | 0.375 | -1.0 | -1.0 | 0.0567 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | No log | 5.0 | 40 | 1.8224 | 0.0917 | 0.2407 | 0.0369 | 0.0918 | -1.0 | -1.0 | 0.0083 | 0.4437 | 0.4563 | 0.4563 | -1.0 | -1.0 | 0.1954 | 0.7 | -1.0 | -1.0 | 0.071 | 0.6 | 0.075 | 0.3 | 0.0253 | 0.225 |
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- | No log | 6.0 | 48 | 1.7414 | 0.0807 | 0.2338 | 0.0645 | 0.0807 | -1.0 | -1.0 | 0.0562 | 0.4 | 0.4 | 0.4 | -1.0 | -1.0 | 0.1487 | 0.625 | -1.0 | -1.0 | 0.1012 | 0.6 | 0.0375 | 0.3 | 0.0353 | 0.075 |
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- | No log | 7.0 | 56 | 1.6537 | 0.0937 | 0.271 | 0.0217 | 0.0937 | -1.0 | -1.0 | 0.0521 | 0.3896 | 0.4521 | 0.4521 | -1.0 | -1.0 | 0.1276 | 0.6 | -1.0 | -1.0 | 0.0438 | 0.4333 | 0.1667 | 0.5 | 0.0367 | 0.275 |
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- | No log | 8.0 | 64 | 1.5604 | 0.1255 | 0.2203 | 0.1325 | 0.1255 | -1.0 | -1.0 | 0.1 | 0.4437 | 0.4563 | 0.4563 | -1.0 | -1.0 | 0.1517 | 0.65 | -1.0 | -1.0 | 0.2687 | 0.7 | 0.08 | 0.4 | 0.0017 | 0.075 |
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- | No log | 9.0 | 72 | 1.5820 | 0.1137 | 0.2273 | 0.0476 | 0.1137 | -1.0 | -1.0 | 0.0667 | 0.4042 | 0.4042 | 0.4042 | -1.0 | -1.0 | 0.1775 | 0.625 | -1.0 | -1.0 | 0.2082 | 0.5667 | 0.0667 | 0.4 | 0.0023 | 0.025 |
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- | No log | 10.0 | 80 | 1.7106 | 0.0698 | 0.2492 | 0.0092 | 0.0698 | -1.0 | -1.0 | 0.0208 | 0.2979 | 0.3042 | 0.3042 | -1.0 | -1.0 | 0.0692 | 0.35 | -1.0 | -1.0 | 0.0773 | 0.3667 | 0.1 | 0.4 | 0.0326 | 0.1 |
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- | No log | 11.0 | 88 | 1.5661 | 0.0972 | 0.3224 | 0.0265 | 0.0972 | -1.0 | -1.0 | 0.0333 | 0.2917 | 0.3625 | 0.3625 | -1.0 | -1.0 | 0.2155 | 0.5 | -1.0 | -1.0 | 0.1341 | 0.5 | 0.0233 | 0.3 | 0.0159 | 0.15 |
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- | No log | 12.0 | 96 | 1.3384 | 0.1733 | 0.3758 | 0.1295 | 0.1733 | -1.0 | -1.0 | 0.1813 | 0.4208 | 0.5375 | 0.5375 | -1.0 | -1.0 | 0.3161 | 0.7 | -1.0 | -1.0 | 0.2928 | 0.7 | 0.0497 | 0.5 | 0.0347 | 0.25 |
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- | No log | 13.0 | 104 | 1.4042 | 0.1442 | 0.3373 | 0.0748 | 0.1442 | -1.0 | -1.0 | 0.2021 | 0.3292 | 0.4292 | 0.4292 | -1.0 | -1.0 | 0.2102 | 0.625 | -1.0 | -1.0 | 0.3047 | 0.5667 | 0.0321 | 0.3 | 0.0297 | 0.225 |
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- | No log | 14.0 | 112 | 1.2224 | 0.2161 | 0.359 | 0.2552 | 0.2161 | -1.0 | -1.0 | 0.2021 | 0.5 | 0.5938 | 0.5938 | -1.0 | -1.0 | 0.258 | 0.825 | -1.0 | -1.0 | 0.4941 | 0.8 | 0.0819 | 0.5 | 0.0303 | 0.25 |
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- | No log | 15.0 | 120 | 1.2616 | 0.2083 | 0.3547 | 0.2527 | 0.2083 | -1.0 | -1.0 | 0.2062 | 0.4938 | 0.5688 | 0.5688 | -1.0 | -1.0 | 0.3888 | 0.75 | -1.0 | -1.0 | 0.3316 | 0.7 | 0.0861 | 0.6 | 0.0268 | 0.225 |
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- | No log | 16.0 | 128 | 1.2555 | 0.1365 | 0.3083 | 0.1347 | 0.1365 | -1.0 | -1.0 | 0.1167 | 0.4771 | 0.5083 | 0.5083 | -1.0 | -1.0 | 0.1695 | 0.625 | -1.0 | -1.0 | 0.276 | 0.6333 | 0.0571 | 0.4 | 0.0434 | 0.375 |
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- | No log | 17.0 | 136 | 1.3343 | 0.1443 | 0.3275 | 0.0747 | 0.1443 | -1.0 | -1.0 | 0.0938 | 0.4292 | 0.5042 | 0.5042 | -1.0 | -1.0 | 0.2401 | 0.65 | -1.0 | -1.0 | 0.2446 | 0.6667 | 0.0389 | 0.5 | 0.0535 | 0.2 |
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- | No log | 18.0 | 144 | 1.1292 | 0.2026 | 0.3685 | 0.2329 | 0.2026 | -1.0 | -1.0 | 0.1458 | 0.5688 | 0.625 | 0.625 | -1.0 | -1.0 | 0.2925 | 0.75 | -1.0 | -1.0 | 0.3259 | 0.8 | 0.0638 | 0.6 | 0.128 | 0.35 |
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- | No log | 19.0 | 152 | 1.1910 | 0.2172 | 0.4386 | 0.2382 | 0.2172 | -1.0 | -1.0 | 0.1312 | 0.4958 | 0.5583 | 0.5583 | -1.0 | -1.0 | 0.3371 | 0.75 | -1.0 | -1.0 | 0.3235 | 0.7333 | 0.05 | 0.5 | 0.1582 | 0.25 |
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- | No log | 20.0 | 160 | 1.1181 | 0.2308 | 0.4215 | 0.2283 | 0.2308 | -1.0 | -1.0 | 0.15 | 0.5521 | 0.6021 | 0.6021 | -1.0 | -1.0 | 0.2889 | 0.725 | -1.0 | -1.0 | 0.3201 | 0.7333 | 0.0643 | 0.6 | 0.2498 | 0.35 |
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- | No log | 21.0 | 168 | 1.1413 | 0.2461 | 0.4495 | 0.2525 | 0.2461 | -1.0 | -1.0 | 0.1437 | 0.5458 | 0.5958 | 0.5958 | -1.0 | -1.0 | 0.3734 | 0.75 | -1.0 | -1.0 | 0.3231 | 0.7333 | 0.0648 | 0.6 | 0.2232 | 0.3 |
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- | No log | 22.0 | 176 | 1.1065 | 0.2515 | 0.4523 | 0.2538 | 0.2515 | -1.0 | -1.0 | 0.1437 | 0.5583 | 0.6146 | 0.6146 | -1.0 | -1.0 | 0.3798 | 0.775 | -1.0 | -1.0 | 0.3221 | 0.7333 | 0.0754 | 0.6 | 0.2288 | 0.35 |
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- | No log | 23.0 | 184 | 1.1302 | 0.2227 | 0.46 | 0.2613 | 0.2227 | -1.0 | -1.0 | 0.1312 | 0.575 | 0.5813 | 0.5813 | -1.0 | -1.0 | 0.3648 | 0.75 | -1.0 | -1.0 | 0.2971 | 0.7 | 0.0625 | 0.6 | 0.1661 | 0.275 |
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- | No log | 24.0 | 192 | 1.0878 | 0.2496 | 0.4548 | 0.2559 | 0.2496 | -1.0 | -1.0 | 0.1437 | 0.6354 | 0.6625 | 0.6625 | -1.0 | -1.0 | 0.3698 | 0.775 | -1.0 | -1.0 | 0.3179 | 0.8 | 0.0797 | 0.7 | 0.2311 | 0.375 |
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- | No log | 25.0 | 200 | 1.0755 | 0.2593 | 0.4548 | 0.2566 | 0.2593 | -1.0 | -1.0 | 0.1437 | 0.6229 | 0.6292 | 0.6292 | -1.0 | -1.0 | 0.4009 | 0.775 | -1.0 | -1.0 | 0.3272 | 0.7667 | 0.0758 | 0.6 | 0.2335 | 0.375 |
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- | No log | 26.0 | 208 | 1.0898 | 0.2489 | 0.4548 | 0.257 | 0.2489 | -1.0 | -1.0 | 0.1521 | 0.6271 | 0.6396 | 0.6396 | -1.0 | -1.0 | 0.3803 | 0.75 | -1.0 | -1.0 | 0.3077 | 0.7333 | 0.0803 | 0.7 | 0.2275 | 0.375 |
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- | No log | 27.0 | 216 | 1.0802 | 0.2524 | 0.4632 | 0.257 | 0.2524 | -1.0 | -1.0 | 0.1521 | 0.6333 | 0.6396 | 0.6396 | -1.0 | -1.0 | 0.3818 | 0.75 | -1.0 | -1.0 | 0.3077 | 0.7333 | 0.0936 | 0.7 | 0.2264 | 0.375 |
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- | No log | 28.0 | 224 | 1.0753 | 0.2503 | 0.4526 | 0.2548 | 0.2503 | -1.0 | -1.0 | 0.1521 | 0.6417 | 0.6542 | 0.6542 | -1.0 | -1.0 | 0.3811 | 0.775 | -1.0 | -1.0 | 0.3093 | 0.7667 | 0.0803 | 0.7 | 0.2304 | 0.375 |
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- | No log | 29.0 | 232 | 1.0727 | 0.2517 | 0.4548 | 0.257 | 0.2517 | -1.0 | -1.0 | 0.1521 | 0.6417 | 0.6542 | 0.6542 | -1.0 | -1.0 | 0.3868 | 0.775 | -1.0 | -1.0 | 0.3093 | 0.7667 | 0.0803 | 0.7 | 0.2304 | 0.375 |
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- | No log | 30.0 | 240 | 1.0723 | 0.2517 | 0.4548 | 0.257 | 0.2517 | -1.0 | -1.0 | 0.1521 | 0.6417 | 0.6542 | 0.6542 | -1.0 | -1.0 | 0.3868 | 0.775 | -1.0 | -1.0 | 0.3093 | 0.7667 | 0.0803 | 0.7 | 0.2304 | 0.375 |
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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 the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0409
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+ - Map: 0.2412
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+ - Map 50: 0.3706
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+ - Map 75: 0.2713
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+ - Map Small: 0.2412
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  - Map Medium: -1.0
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  - Map Large: -1.0
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+ - Mar 1: 0.2167
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+ - Mar 10: 0.6271
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+ - Mar 100: 0.6271
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+ - Mar Small: 0.6271
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  - Mar Medium: -1.0
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  - Mar Large: -1.0
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+ - Map Left: 0.4352
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+ - Mar 100 Left: 0.75
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  - Map Right: -1.0
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  - Mar 100 Right: -1.0
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+ - Map Up: 0.3486
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+ - Mar 100 Up: 0.7333
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+ - Map Down: 0.03
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+ - Mar 100 Down: 0.6
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+ - Map ?: 0.151
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+ - Mar 100 ?: 0.425
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  ## Model description
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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 Left | Mar 100 Left | Map Right | Mar 100 Right | Map Up | Mar 100 Up | Map Down | Mar 100 Down | Map ? | Mar 100 ? |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:--------:|:------------:|:---------:|:-------------:|:------:|:----------:|:--------:|:------------:|:------:|:---------:|
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+ | No log | 1.0 | 8 | 19.0953 | 0.0001 | 0.0004 | 0.0 | 0.0001 | -1.0 | -1.0 | 0.0 | 0.0 | 0.0125 | 0.0125 | -1.0 | -1.0 | 0.0003 | 0.05 | -1.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | No log | 2.0 | 16 | 5.5939 | 0.0867 | 0.1924 | 0.0987 | 0.0867 | -1.0 | -1.0 | 0.1312 | 0.2625 | 0.2625 | 0.2625 | -1.0 | -1.0 | 0.1606 | 0.45 | -1.0 | -1.0 | 0.1863 | 0.6 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | No log | 3.0 | 24 | 2.6945 | 0.0999 | 0.3646 | 0.0219 | 0.0999 | -1.0 | -1.0 | 0.0708 | 0.3292 | 0.3604 | 0.3604 | -1.0 | -1.0 | 0.1043 | 0.55 | -1.0 | -1.0 | 0.0568 | 0.4667 | 0.0037 | 0.1 | 0.2347 | 0.325 |
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+ | No log | 4.0 | 32 | 2.1274 | 0.0563 | 0.1929 | 0.0 | 0.0563 | -1.0 | -1.0 | 0.0854 | 0.2375 | 0.25 | 0.25 | -1.0 | -1.0 | 0.0326 | 0.3 | -1.0 | -1.0 | 0.0377 | 0.4 | 0.0 | 0.0 | 0.1547 | 0.3 |
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+ | No log | 5.0 | 40 | 1.6849 | 0.1081 | 0.3146 | 0.0349 | 0.1081 | -1.0 | -1.0 | 0.0896 | 0.4833 | 0.5021 | 0.5021 | -1.0 | -1.0 | 0.2281 | 0.575 | -1.0 | -1.0 | 0.0687 | 0.4333 | 0.0437 | 0.7 | 0.092 | 0.3 |
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+ | No log | 6.0 | 48 | 1.6286 | 0.1421 | 0.2764 | 0.1372 | 0.1421 | -1.0 | -1.0 | 0.1417 | 0.425 | 0.4375 | 0.4375 | -1.0 | -1.0 | 0.3177 | 0.65 | -1.0 | -1.0 | 0.2205 | 0.6 | 0.0174 | 0.4 | 0.0127 | 0.1 |
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+ | No log | 7.0 | 56 | 1.5424 | 0.112 | 0.2167 | 0.0934 | 0.112 | -1.0 | -1.0 | 0.1167 | 0.4375 | 0.4375 | 0.4375 | -1.0 | -1.0 | 0.2795 | 0.625 | -1.0 | -1.0 | 0.1396 | 0.6 | 0.0174 | 0.4 | 0.0113 | 0.125 |
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+ | No log | 8.0 | 64 | 1.3504 | 0.1419 | 0.238 | 0.1944 | 0.1419 | -1.0 | -1.0 | 0.1562 | 0.4104 | 0.4854 | 0.4854 | -1.0 | -1.0 | 0.2816 | 0.75 | -1.0 | -1.0 | 0.2576 | 0.7667 | 0.0111 | 0.3 | 0.0171 | 0.125 |
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+ | No log | 9.0 | 72 | 1.5176 | 0.2689 | 0.5539 | 0.1617 | 0.2689 | -1.0 | -1.0 | 0.3167 | 0.4187 | 0.425 | 0.425 | -1.0 | -1.0 | 0.2535 | 0.575 | -1.0 | -1.0 | 0.308 | 0.5 | 0.5 | 0.5 | 0.0142 | 0.125 |
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+ | No log | 10.0 | 80 | 1.3294 | 0.3021 | 0.5244 | 0.4064 | 0.3021 | -1.0 | -1.0 | 0.3021 | 0.5333 | 0.5333 | 0.5333 | -1.0 | -1.0 | 0.3094 | 0.725 | -1.0 | -1.0 | 0.2696 | 0.6333 | 0.6 | 0.6 | 0.0293 | 0.175 |
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+ | No log | 11.0 | 88 | 1.2791 | 0.2706 | 0.5077 | 0.2809 | 0.2706 | -1.0 | -1.0 | 0.1271 | 0.5583 | 0.5583 | 0.5583 | -1.0 | -1.0 | 0.2066 | 0.575 | -1.0 | -1.0 | 0.2748 | 0.5333 | 0.35 | 0.7 | 0.2512 | 0.425 |
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+ | No log | 12.0 | 96 | 1.3774 | 0.2059 | 0.4747 | 0.1739 | 0.2059 | -1.0 | -1.0 | 0.125 | 0.4375 | 0.4437 | 0.4437 | -1.0 | -1.0 | 0.255 | 0.65 | -1.0 | -1.0 | 0.3381 | 0.6 | 0.15 | 0.3 | 0.0804 | 0.225 |
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+ | No log | 13.0 | 104 | 1.1243 | 0.3863 | 0.5912 | 0.4179 | 0.3863 | -1.0 | -1.0 | 0.3083 | 0.6646 | 0.6646 | 0.6646 | -1.0 | -1.0 | 0.2399 | 0.725 | -1.0 | -1.0 | 0.1698 | 0.6333 | 0.8 | 0.8 | 0.3355 | 0.5 |
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+ | No log | 14.0 | 112 | 1.4674 | 0.2147 | 0.6485 | 0.0922 | 0.2147 | -1.0 | -1.0 | 0.1917 | 0.3583 | 0.3583 | 0.3583 | -1.0 | -1.0 | 0.2232 | 0.525 | -1.0 | -1.0 | 0.3658 | 0.5333 | 0.2 | 0.2 | 0.0697 | 0.175 |
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+ | No log | 15.0 | 120 | 1.1626 | 0.1937 | 0.3712 | 0.1312 | 0.1937 | -1.0 | -1.0 | 0.1125 | 0.4062 | 0.6062 | 0.6062 | -1.0 | -1.0 | 0.2547 | 0.6 | -1.0 | -1.0 | 0.2436 | 0.5 | 0.025 | 0.8 | 0.2514 | 0.525 |
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+ | No log | 16.0 | 128 | 1.1370 | 0.1939 | 0.3826 | 0.2281 | 0.1939 | -1.0 | -1.0 | 0.1604 | 0.5542 | 0.5542 | 0.5542 | -1.0 | -1.0 | 0.3822 | 0.725 | -1.0 | -1.0 | 0.24 | 0.7667 | 0.016 | 0.4 | 0.1373 | 0.325 |
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+ | No log | 17.0 | 136 | 1.3054 | 0.1481 | 0.3214 | 0.1517 | 0.1481 | -1.0 | -1.0 | 0.1479 | 0.4521 | 0.4521 | 0.4521 | -1.0 | -1.0 | 0.3191 | 0.65 | -1.0 | -1.0 | 0.2092 | 0.6333 | 0.0154 | 0.4 | 0.0487 | 0.125 |
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+ | No log | 18.0 | 144 | 1.0947 | 0.2181 | 0.3671 | 0.237 | 0.2181 | -1.0 | -1.0 | 0.2167 | 0.6104 | 0.6104 | 0.6104 | -1.0 | -1.0 | 0.4168 | 0.75 | -1.0 | -1.0 | 0.239 | 0.6667 | 0.025 | 0.6 | 0.1915 | 0.425 |
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+ | No log | 19.0 | 152 | 1.1466 | 0.1866 | 0.3405 | 0.2377 | 0.1866 | -1.0 | -1.0 | 0.175 | 0.5896 | 0.5896 | 0.5896 | -1.0 | -1.0 | 0.3651 | 0.675 | -1.0 | -1.0 | 0.2282 | 0.6333 | 0.0292 | 0.7 | 0.1241 | 0.35 |
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+ | No log | 20.0 | 160 | 1.1329 | 0.1857 | 0.3523 | 0.2092 | 0.1857 | -1.0 | -1.0 | 0.1875 | 0.5375 | 0.5375 | 0.5375 | -1.0 | -1.0 | 0.3855 | 0.7 | -1.0 | -1.0 | 0.1867 | 0.6 | 0.025 | 0.5 | 0.1457 | 0.35 |
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+ | No log | 21.0 | 168 | 1.1367 | 0.2188 | 0.372 | 0.2712 | 0.2188 | -1.0 | -1.0 | 0.2042 | 0.5729 | 0.5729 | 0.5729 | -1.0 | -1.0 | 0.415 | 0.7 | -1.0 | -1.0 | 0.3136 | 0.6667 | 0.0286 | 0.6 | 0.1178 | 0.325 |
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+ | No log | 22.0 | 176 | 1.0748 | 0.2561 | 0.417 | 0.2927 | 0.2561 | -1.0 | -1.0 | 0.2208 | 0.6062 | 0.6062 | 0.6062 | -1.0 | -1.0 | 0.4447 | 0.7 | -1.0 | -1.0 | 0.3602 | 0.7 | 0.0273 | 0.6 | 0.1923 | 0.425 |
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+ | No log | 23.0 | 184 | 1.0644 | 0.2245 | 0.3693 | 0.2573 | 0.2245 | -1.0 | -1.0 | 0.2021 | 0.5958 | 0.5958 | 0.5958 | -1.0 | -1.0 | 0.4082 | 0.725 | -1.0 | -1.0 | 0.3118 | 0.7333 | 0.0263 | 0.5 | 0.1519 | 0.425 |
95
+ | No log | 24.0 | 192 | 1.0710 | 0.2365 | 0.3897 | 0.2679 | 0.2365 | -1.0 | -1.0 | 0.2083 | 0.6042 | 0.6042 | 0.6042 | -1.0 | -1.0 | 0.4215 | 0.725 | -1.0 | -1.0 | 0.3064 | 0.6667 | 0.03 | 0.6 | 0.1879 | 0.425 |
96
+ | No log | 25.0 | 200 | 1.0512 | 0.2455 | 0.3904 | 0.2713 | 0.2455 | -1.0 | -1.0 | 0.225 | 0.6146 | 0.6146 | 0.6146 | -1.0 | -1.0 | 0.4215 | 0.725 | -1.0 | -1.0 | 0.3506 | 0.7333 | 0.03 | 0.6 | 0.1798 | 0.4 |
97
+ | No log | 26.0 | 208 | 1.0671 | 0.2332 | 0.3744 | 0.2588 | 0.2332 | -1.0 | -1.0 | 0.2104 | 0.5958 | 0.5958 | 0.5958 | -1.0 | -1.0 | 0.4043 | 0.725 | -1.0 | -1.0 | 0.3484 | 0.7333 | 0.0263 | 0.5 | 0.1537 | 0.425 |
98
+ | No log | 27.0 | 216 | 1.0523 | 0.2469 | 0.4035 | 0.2588 | 0.2469 | -1.0 | -1.0 | 0.2354 | 0.6021 | 0.6021 | 0.6021 | -1.0 | -1.0 | 0.4089 | 0.75 | -1.0 | -1.0 | 0.3481 | 0.7333 | 0.0263 | 0.5 | 0.2042 | 0.425 |
99
+ | No log | 28.0 | 224 | 1.0458 | 0.249 | 0.4035 | 0.2588 | 0.249 | -1.0 | -1.0 | 0.2354 | 0.6021 | 0.6021 | 0.6021 | -1.0 | -1.0 | 0.4172 | 0.75 | -1.0 | -1.0 | 0.3481 | 0.7333 | 0.0263 | 0.5 | 0.2042 | 0.425 |
100
+ | No log | 29.0 | 232 | 1.0416 | 0.2411 | 0.3706 | 0.2713 | 0.2411 | -1.0 | -1.0 | 0.2167 | 0.6271 | 0.6271 | 0.6271 | -1.0 | -1.0 | 0.4352 | 0.75 | -1.0 | -1.0 | 0.3481 | 0.7333 | 0.03 | 0.6 | 0.151 | 0.425 |
101
+ | No log | 30.0 | 240 | 1.0409 | 0.2412 | 0.3706 | 0.2713 | 0.2412 | -1.0 | -1.0 | 0.2167 | 0.6271 | 0.6271 | 0.6271 | -1.0 | -1.0 | 0.4352 | 0.75 | -1.0 | -1.0 | 0.3486 | 0.7333 | 0.03 | 0.6 | 0.151 | 0.425 |
102
 
103
 
104
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