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README.md
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results: []
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# mit-b0-CMP_semantic_seg_with_mps_v2
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This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the None dataset.
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- Mean Iou: 0.4097
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- Mean Accuracy: 0.5538
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- Overall Accuracy: 0.6951
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- Per Category Iou:
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Per Category Iou
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| 1.6807 | 1.0 | 189 | 1.3310 | 0.2226 | 0.3388 | 0.5893 |
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| 1.1837 | 2.0 | 378 | 1.1731 | 0.2602 | 0.3876 | 0.6122 |
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| 1.0241 | 3.0 | 567 | 1.0485 | 0.2915 | 0.3954 | 0.6393 |
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| 0.9353 | 4.0 | 756 | 0.9943 | 0.3054 | 0.4021 | 0.6570 |
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| 0.8717 | 5.0 | 945 | 1.0010 | 0.3299 | 0.4440 | 0.6530 |
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| 0.8238 | 6.0 | 1134 | 0.9537 | 0.3546 | 0.4771 | 0.6701 |
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| 0.7708 | 7.0 | 1323 | 0.9789 | 0.3550 | 0.4837 | 0.6683 |
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| 0.7415 | 8.0 | 1512 | 0.9738 | 0.3554 | 0.4634 | 0.6733 |
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| 0.7018 | 9.0 | 1701 | 0.9449 | 0.3667 | 0.4802 | 0.6826 |
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| 0.682 | 10.0 | 1890 | 0.9422 | 0.3762 | 0.5047 | 0.6805 |
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| 0.6503 | 11.0 | 2079 | 0.9889 | 0.3785 | 0.5082 | 0.6729 |
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| 0.633 | 12.0 | 2268 | 0.9594 | 0.3901 | 0.5224 | 0.6797 |
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| 0.6035 | 13.0 | 2457 | 0.9612 | 0.3939 | 0.5288 | 0.6834 |
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| 0.5874 | 14.0 | 2646 | 0.9657 | 0.3939 | 0.5383 | 0.6844 |
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| 0.5684 | 15.0 | 2835 | 0.9762 | 0.3950 | 0.5446 | 0.6855 |
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| 0.5485 | 16.0 | 3024 | 1.0645 | 0.3794 | 0.5095 | 0.6704 |
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| 0.5402 | 17.0 | 3213 | 0.9747 | 0.4044 | 0.5600 | 0.6839 |
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| 0.5275 | 18.0 | 3402 | 1.0054 | 0.3944 | 0.5411 | 0.6790 |
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| 0.5032 | 19.0 | 3591 | 1.0014 | 0.3973 | 0.5256 | 0.6875 |
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| 0.4985 | 20.0 | 3780 | 0.9893 | 0.3990 | 0.5468 | 0.6883 |
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| 0.4925 | 21.0 | 3969 | 1.0416 | 0.3955 | 0.5339 | 0.6806 |
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| 0.4772 | 22.0 | 4158 | 1.0142 | 0.3969 | 0.5476 | 0.6838 |
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| 0.4707 | 23.0 | 4347 | 0.9896 | 0.4077 | 0.5458 | 0.6966 |
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| 0.4601 | 24.0 | 4536 | 1.0040 | 0.4104 | 0.5551 | 0.6948 |
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| 0.4544 | 25.0 | 4725 | 1.0093 | 0.4093 | 0.5652 | 0.6899 |
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| 0.4421 | 26.0 | 4914 | 1.0434 | 0.4064 | 0.5448 | 0.6938 |
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| 0.4293 | 27.0 | 5103 | 1.0391 | 0.4076 | 0.5571 | 0.6908 |
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| 0.4312 | 28.0 | 5292 | 1.0037 | 0.4100 | 0.5534 | 0.6958 |
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| 0.4309 | 29.0 | 5481 | 1.0288 | 0.4101 | 0.5493 | 0.6968 |
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| 0.4146 | 30.0 | 5670 | 1.0602 | 0.4062 | 0.5445 | 0.6928 |
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| 0.4106 | 31.0 | 5859 | 1.0573 | 0.4113 | 0.5520 | 0.6937 |
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| 0.4102 | 32.0 | 6048 | 1.0616 | 0.4043 | 0.5444 | 0.6904 |
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| 0.394 | 33.0 | 6237 | 1.0244 | 0.4104 | 0.5587 | 0.6957 |
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| 0.3865 | 34.0 | 6426 | 1.0618 | 0.4086 | 0.5468 | 0.6922 |
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| 0.3816 | 35.0 | 6615 | 1.0515 | 0.4109 | 0.5587 | 0.6937 |
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| 0.3803 | 36.0 | 6804 | 1.0709 | 0.4118 | 0.5507 | 0.6982 |
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| 0.3841 | 37.0 | 6993 | 1.0646 | 0.4102 | 0.5423 | 0.7000 |
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| 0.383 | 38.0 | 7182 | 1.0769 | 0.4076 | 0.5463 | 0.6981 |
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| 0.3831 | 39.0 | 7371 | 1.0821 | 0.4081 | 0.5438 | 0.6949 |
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| 0.3701 | 40.0 | 7560 | 1.0971 | 0.4094 | 0.5503 | 0.6939 |
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| 0.3728 | 41.0 | 7749 | 1.0850 | 0.4073 | 0.5426 | 0.6955 |
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| 0.3693 | 42.0 | 7938 | 1.0969 | 0.4065 | 0.5503 | 0.6922 |
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| 0.3627 | 43.0 | 8127 | 1.0932 | 0.4087 | 0.5497 | 0.6948 |
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| 0.3707 | 44.0 | 8316 | 1.1095 | 0.4071 | 0.5449 | 0.6950 |
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| 0.3715 | 45.0 | 8505 | 1.0884 | 0.4110 | 0.5481 | 0.6962 |
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| 0.3637 | 46.0 | 8694 | 1.0893 | 0.4116 | 0.5565 | 0.6948 |
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| 0.3581 | 47.0 | 8883 | 1.1164 | 0.4080 | 0.5443 | 0.6938 |
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| 0.3595 | 48.0 | 9072 | 1.1264 | 0.4056 | 0.5374 | 0.6942 |
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| 0.3604 | 49.0 | 9261 | 1.0948 | 0.4104 | 0.5508 | 0.6953 |
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| 0.3541 | 50.0 | 9450 | 1.0863 | 0.4097 | 0.5538 | 0.6951 |
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### Framework versions
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results: []
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---
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# mit-b0-CMP_semantic_seg_with_mps_v2
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This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the None dataset.
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- Mean Iou: 0.4097
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- Mean Accuracy: 0.5538
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- Overall Accuracy: 0.6951
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- Per Category Iou:
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- Segment 0: 0.5921698801573617
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- Segment 1: 0.5795623712718901
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- Segment 2: 0.5784812820145221
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- Segment 3: 0.2917052691882505
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- Segment 4: 0.3792639848157326
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- Segment 5: 0.37973303153855376
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- Segment 6: 0.4481097636024487
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- Segment 7: 0.4354492668218124
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- Segment 8: 0.26472453634508664
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- Segment 9: 0.4173722023142026
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- Segment 10: 0.18166072949276144
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- Segment 11: 0.36809541729585366
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- Per Category Accuracy:
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- Segment 0: 0.6884460857323806
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- Segment 1: 0.7851625477616788
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- Segment 2: 0.7322992353412343
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- Segment 3: 0.45229387721112274
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- Segment 4: 0.5829333862769369
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- Segment 5: 0.5516333441001092
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- Segment 6: 0.5904157921999404
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- Segment 7: 0.5288772981353482
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- Segment 8: 0.4518224891972707
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- Segment 9: 0.571864661897264
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- Segment 10: 0.23178753217655862
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- Segment 11: 0.47833833709905393
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Segment 0: Per Category Iou | Segment 1: Per Category Iou | Segment 2: Per Category Iou | Segment 3: Per Category Iou | Segment 4: Per Category Iou | Segment 5: Per Category Iou | Segment 6: Per Category Iou | Segment 7: Per Category Iou | Segment 8: Per Category Iou | Segment 9: Per Category Iou | Segment 10: Per Category Iou | Segment 11: Per Category Iou | Segment 0: Per Category Accuracy | Segment 1: Per Category Accuracy | Segment 2: Per Category Accuracy | Segment 3: Per Category Accuracy | Segment 4: Per Category Accuracy | Segment 5: Per Category Accuracy | Segment 6: Per Category Accuracy | Segment 7: Per Category Accuracy | Segment 8: Per Category Accuracy | Segment 9: Per Category Accuracy | Segment 10: Per Category Accuracy | Segment 11: Per Category Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|
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| 1.6807 | 1.0 | 189 | 1.3310 | 0.2226 | 0.3388 | 0.5893 | 0.4634848754539228 | 0.4904852778454534 | 0.46977704569302975 | 0.0 | 0.2307151510822336 | 0.1514544832853459 | 0.2789258993918792 | 0.00016499086657702878 | 0.025041827030813847 | 0.352690972773565 | 0.0 | 0.20870390711516645 | 0.6133050341852593 | 0.6847324966008382 | 0.7408221401485373 | 0.0 | 0.4973004839882741 | 0.17200650361654793 | 0.40732489541824046 | 0.0001650039483087631 | 0.025531707230508505 | 0.6371460564807566 | 0.0 | 0.2873760665242915 |
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| 1.1837 | 2.0 | 378 | 1.1731 | 0.2602 | 0.3876 | 0.6122 | 0.42398908351573905 | 0.5249246480736364 | 0.5152434848293298 | 0.005690230903397841 | 0.2635974341951505 | 0.2755809091452123 | 0.3311735486250948 | 0.05749007051827676 | 0.05389332245480737 | 0.3859935747028547 | 0.0 | 0.2853646425269243 | 0.47824737936996214 | 0.7843921681114081 | 0.6966173473129366 | 0.005693923012331629 | 0.5735250918240624 | 0.36835801828416304 | 0.6226168977672956 | 0.05767745156759108 | 0.056265139348553275 | 0.590726524634641 | 0.0 | 0.4168074942998339 |
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| 1.0241 | 3.0 | 567 | 1.0485 | 0.2915 | 0.3954 | 0.6393 | 0.544236592535624 | 0.5037386625623217 | 0.5329218083584913 | 0.04122383911052976 | 0.30619502152348865 | 0.2714354684133538 | 0.3820197861637806 | 0.14297161063544225 | 0.07955891090548743 | 0.4007127942336929 | 0.00016528217339936458 | 0.2928537512847711 | 0.8125893617699244 | 0.6851517629316499 | 0.6682812855352882 | 0.041991381045239105 | 0.49715664486119526 | 0.34177557441959217 | 0.5120585878274232 | 0.1452966910279639 | 0.08494893658553898 | 0.5882194328558888 | 0.00016528267929344714 | 0.36715775790027544 |
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| 0.9353 | 4.0 | 756 | 0.9943 | 0.3054 | 0.4021 | 0.6570 | 0.5776214269254855 | 0.5288803999129291 | 0.5390827265612298 | 0.11713595022489943 | 0.3136957294778408 | 0.2599635547204301 | 0.3664072211017248 | 0.15260766464267558 | 0.10744437711526733 | 0.3934636797021606 | 0.00017752366727167548 | 0.3077800811435604 | 0.8079444953737089 | 0.7362094443096117 | 0.6802560980516426 | 0.12306993011845858 | 0.512920197647116 | 0.33239396237919133 | 0.42117282716339 | 0.15535336024112006 | 0.12232149987134326 | 0.5586955195187552 | 0.0001775258407225914 | 0.37512767340369557 |
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| 0.8717 | 5.0 | 945 | 1.0010 | 0.3299 | 0.4440 | 0.6530 | 0.4789569963484104 | 0.5505570737975362 | 0.5471873633057979 | 0.15467212233555622 | 0.33717136211833587 | 0.329740742665955 | 0.41510254600978613 | 0.23386662917089512 | 0.17093499015002273 | 0.4080746205043383 | 0.0008171084765058361 | 0.3313602667418111 | 0.5407883204047401 | 0.8110534967992339 | 0.7439010923003654 | 0.1647386208284467 | 0.5336310060432693 | 0.47195496826220606 | 0.5649886876937538 | 0.24592767041211344 | 0.21268289220340186 | 0.6032254750148772 | 0.0008172310253953776 | 0.43432067432191235 |
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| 0.8238 | 6.0 | 1134 | 0.9537 | 0.3546 | 0.4771 | 0.6701 | 0.5571670792200062 | 0.552517395473414 | 0.5610617087380155 | 0.2076087504784398 | 0.34338117214442276 | 0.3163128468568835 | 0.4103397088272378 | 0.3279466924300978 | 0.21069994391811445 | 0.41911356194559607 | 0.006694874564878166 | 0.34182469738367616 | 0.6870234926100193 | 0.7532167332054568 | 0.7388529233923034 | 0.2427845747080173 | 0.5081350142927471 | 0.41732749265984126 | 0.5923295163811956 | 0.37097280542070116 | 0.31168646797334587 | 0.6181032158263363 | 0.006828623287105196 | 0.47847452206299584 |
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| 0.7708 | 7.0 | 1323 | 0.9789 | 0.3550 | 0.4837 | 0.6683 | 0.5310075746044994 | 0.5633947116318412 | 0.5594316197128807 | 0.22985789876534993 | 0.3424202791715216 | 0.3374531065952666 | 0.4049849851215688 | 0.28826141058185256 | 0.21968289277390515 | 0.41423929455988057 | 0.031575259927696664 | 0.3373088073837401 | 0.6050136716074171 | 0.7961490880674345 | 0.7433683394118146 | 0.2875899542681869 | 0.5834520174957 | 0.4949117910713184 | 0.5607636948180663 | 0.3102642098935939 | 0.3671530482773307 | 0.6185428826392109 | 0.03448592495554202 | 0.4022346714537745 |
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| 0.7415 | 8.0 | 1512 | 0.9738 | 0.3554 | 0.4634 | 0.6733 | 0.5365875274148131 | 0.5659369400475933 | 0.5549504785350987 | 0.23309033939219542 | 0.3497296795169531 | 0.33336353690988096 | 0.43005316542676975 | 0.34005594551228957 | 0.19889347759651177 | 0.41812008740162165 | 0.035787126110042235 | 0.2680306895821023 | 0.6081236117125464 | 0.8460799406527134 | 0.6598362819270074 | 0.30354751181463 | 0.5720401047797135 | 0.4539774768726024 | 0.5734811831554486 | 0.3848984957854349 | 0.26418995057806804 | 0.5607853711429407 | 0.03791707094605969 | 0.2962291208847896 |
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| 0.7018 | 9.0 | 1701 | 0.9449 | 0.3667 | 0.4802 | 0.6826 | 0.5797650959803345 | 0.5656555773867602 | 0.5624023413616094 | 0.23677325096936905 | 0.3648405353367248 | 0.32706889287510904 | 0.42501286148616657 | 0.32065864193727883 | 0.2096244240088324 | 0.4236167832091201 | 0.050353847024854216 | 0.33460451780818107 | 0.7241302953158243 | 0.7684235052379187 | 0.7677311546869556 | 0.2957821250373002 | 0.5320609310645918 | 0.42119264423548025 | 0.5547462091572214 | 0.35133197830090934 | 0.2813412242797441 | 0.5645280153294033 | 0.054445338875404405 | 0.4464576433811012 |
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| 0.682 | 10.0 | 1890 | 0.9422 | 0.3762 | 0.5047 | 0.6805 | 0.5801558465660853 | 0.5621958732527232 | 0.5584861217084165 | 0.23399856724634902 | 0.37933715402727797 | 0.34066026424016943 | 0.42765963009581354 | 0.38005799566838694 | 0.2300653561261595 | 0.42158026982710145 | 0.0639705961898374 | 0.33669758824413076 | 0.7124128445122457 | 0.7649129379639438 | 0.7024134248020867 | 0.287877946717927 | 0.5535415826760965 | 0.441309578680332 | 0.6309566731585817 | 0.4959965113450929 | 0.3981571031827014 | 0.5591670008934155 | 0.07239687432088714 | 0.43703921507938964 |
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| 0.6503 | 11.0 | 2079 | 0.9889 | 0.3785 | 0.5082 | 0.6729 | 0.5192728242868041 | 0.5649446824860268 | 0.5604780133458106 | 0.26978528692233206 | 0.37715343417991076 | 0.35264087989088694 | 0.4341657661288921 | 0.3433013918414056 | 0.24153761961429152 | 0.43359478279525054 | 0.08885656663780542 | 0.3561829795091815 | 0.5876217071146836 | 0.8059670831465121 | 0.7295986604417997 | 0.38378984184703785 | 0.5267267279434854 | 0.4982615891035389 | 0.5901717549740297 | 0.383783111953036 | 0.4151153917819401 | 0.5987203244459441 | 0.103029264216606 | 0.47561876463730435 |
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| 0.633 | 12.0 | 2268 | 0.9594 | 0.3901 | 0.5224 | 0.6797 | 0.5539044036240792 | 0.5640746106980318 | 0.5679376803045576 | 0.2657695291519962 | 0.3757466434644823 | 0.35104871938215626 | 0.42571774824305314 | 0.39930568333762684 | 0.23536352092073748 | 0.4338049246523709 | 0.18003924612685301 | 0.3286865117649982 | 0.6496572223105714 | 0.7807274278924162 | 0.7448456086694618 | 0.4017702861187639 | 0.5380576045315403 | 0.4614936542558404 | 0.5848777216054816 | 0.48827668376350436 | 0.3247961456216782 | 0.6062577678381901 | 0.2917759623890081 | 0.39577413930071087 |
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| 0.6035 | 13.0 | 2457 | 0.9612 | 0.3939 | 0.5288 | 0.6834 | 0.566287673461385 | 0.566596557663215 | 0.5678902112592217 | 0.26306000852144 | 0.3726059238890307 | 0.3609025845510209 | 0.4351393724436539 | 0.37588025008354836 | 0.25108473544628496 | 0.4256391829733845 | 0.1737219533020804 | 0.3680641640888084 | 0.6650034015658216 | 0.7792062332760352 | 0.7595289859518171 | 0.40488962602618994 | 0.5501279357869723 | 0.4940371417476292 | 0.583148993385804 | 0.4374533247759857 | 0.38431984951598447 | 0.5591195398258335 | 0.25781343258456196 | 0.47113291446139877 |
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| 90 |
+
| 0.5874 | 14.0 | 2646 | 0.9657 | 0.3939 | 0.5383 | 0.6844 | 0.5806677482031424 | 0.5670306680818844 | 0.567912071302946 | 0.2669805280094569 | 0.35936413650425275 | 0.36049661610517647 | 0.43934258727154524 | 0.3862602719923495 | 0.24060423672069872 | 0.4227720940187137 | 0.1705185840525888 | 0.3651616035455601 | 0.6881466774565245 | 0.7714532016797171 | 0.7076490702220812 | 0.45138479261073833 | 0.6010571162888695 | 0.4899633082794087 | 0.623500155081721 | 0.44661640117817103 | 0.3626766811886108 | 0.5934218960331414 | 0.2536721832311539 | 0.4702487439000485 |
|
| 91 |
+
| 0.5684 | 15.0 | 2835 | 0.9762 | 0.3950 | 0.5446 | 0.6855 | 0.5799737452083478 | 0.5710709114080229 | 0.5670764532065862 | 0.2824597683542257 | 0.36640492159455884 | 0.3587419044139626 | 0.4407745413968844 | 0.4020698579224321 | 0.25403099536251994 | 0.4246364640946177 | 0.13763299473559995 | 0.3548388372177615 | 0.6689893935462612 | 0.7721150862632795 | 0.7253292181715818 | 0.46066300719634146 | 0.6286397883336339 | 0.49001048853338364 | 0.5936197648110916 | 0.4950579174573106 | 0.4336663620311793 | 0.6295105616521876 | 0.17492722970925553 | 0.4629638800334272 |
|
| 92 |
+
| 0.5485 | 16.0 | 3024 | 1.0645 | 0.3794 | 0.5095 | 0.6704 | 0.4854630804577975 | 0.5682984335994403 | 0.5685140888867627 | 0.26120823705512203 | 0.3832057191472071 | 0.36282541987900496 | 0.43780145913695573 | 0.40560224962415387 | 0.2525310431655663 | 0.42061673773784075 | 0.1242392711214882 | 0.28249058067528676 | 0.5250323086345734 | 0.8334719569357047 | 0.7460261114546437 | 0.3741958765032859 | 0.6113892226001657 | 0.48233280951153923 | 0.5879903770611306 | 0.5021155863372445 | 0.4084452055402252 | 0.5756625904042066 | 0.1498379311505817 | 0.31707161059353944 |
|
| 93 |
+
| 0.5402 | 17.0 | 3213 | 0.9747 | 0.4044 | 0.5600 | 0.6839 | 0.5696889505130881 | 0.5674207585336802 | 0.5687409231923873 | 0.2970935437281419 | 0.37667848031652434 | 0.3740706436358495 | 0.4486235234701932 | 0.41259420175369305 | 0.24890851961750837 | 0.42596213680075434 | 0.18741092684870628 | 0.3757222932664926 | 0.6652249842476593 | 0.7672771117610754 | 0.7058054085118902 | 0.43181865497116606 | 0.5994505750526228 | 0.5137421562827766 | 0.6111778496069427 | 0.5596237481396876 | 0.4547660665643328 | 0.5819342314775361 | 0.2821497767153434 | 0.5465329577929782 |
|
| 94 |
+
| 0.5275 | 18.0 | 3402 | 1.0054 | 0.3944 | 0.5411 | 0.6790 | 0.5340694513710343 | 0.5728332869873064 | 0.5612516923446955 | 0.2826561901935739 | 0.3823160569160862 | 0.3782131721285396 | 0.42983423740605153 | 0.40702298634334005 | 0.2577513466879892 | 0.41949516397601305 | 0.14478514359749514 | 0.36316166780626646 | 0.6011690872629017 | 0.8090576564774546 | 0.6765196940223528 | 0.4560932956745616 | 0.5706807237336585 | 0.5392721175586759 | 0.625477643828456 | 0.5679393042619234 | 0.43474885318048323 | 0.5567162365355298 | 0.18059887424130658 | 0.4750843418242595 |
|
| 95 |
+
| 0.5032 | 19.0 | 3591 | 1.0014 | 0.3973 | 0.5256 | 0.6875 | 0.5696121556420429 | 0.5738719088476161 | 0.5699478909973625 | 0.2918412455240134 | 0.37174867719200533 | 0.36348388999124875 | 0.4444493725714549 | 0.41215718929736833 | 0.25306460819222093 | 0.4141661929360587 | 0.1658795266239882 | 0.33692869274252835 | 0.663432939814825 | 0.8078599259161406 | 0.6985897029453216 | 0.43889702361538085 | 0.5273507061285597 | 0.4876478465843311 | 0.6231884172060415 | 0.5022195173955948 | 0.37174919922273586 | 0.5243691720025597 | 0.22317752890151296 | 0.4388127147234517 |
|
| 96 |
+
| 0.4985 | 20.0 | 3780 | 0.9893 | 0.3990 | 0.5468 | 0.6883 | 0.5936816715900824 | 0.5701644461431783 | 0.5629911997707503 | 0.28916781073565523 | 0.3790172987756734 | 0.3757458321865293 | 0.4382818305838311 | 0.4110024055873421 | 0.2591999327160541 | 0.4147214451848439 | 0.12914504099118534 | 0.36534002629377316 | 0.7110061101901749 | 0.7678645373607047 | 0.6951620501883469 | 0.48746712375347845 | 0.5261270605967906 | 0.554917815626826 | 0.6444102092579851 | 0.530145899919748 | 0.4511925148398889 | 0.5441213209197433 | 0.16031807733392917 | 0.4888256110268553 |
|
| 97 |
+
| 0.4925 | 21.0 | 3969 | 1.0416 | 0.3955 | 0.5339 | 0.6806 | 0.5335583322437928 | 0.5723393618411438 | 0.5731594301616394 | 0.2843255183273554 | 0.37479678549266376 | 0.3738500807285063 | 0.43831338163155376 | 0.38761392177969145 | 0.259761823132567 | 0.41696547893527275 | 0.16927392137188726 | 0.36236651284400945 | 0.5944502422064643 | 0.8129992935693794 | 0.7299376590661159 | 0.451089860583896 | 0.5922282301507069 | 0.5323583957261948 | 0.5643368721355146 | 0.43405145765987974 | 0.4067238671552665 | 0.5833731884605977 | 0.22720246822134413 | 0.4781464401044085 |
|
| 98 |
+
| 0.4772 | 22.0 | 4158 | 1.0142 | 0.3969 | 0.5476 | 0.6838 | 0.5634107290020928 | 0.5751936873185851 | 0.5595241406936764 | 0.27833357682201243 | 0.38332015417600285 | 0.3539706328067277 | 0.4447681103871215 | 0.40541279947566156 | 0.25859149329310366 | 0.4145149725357906 | 0.15972398977220983 | 0.366032132250331 | 0.6478051200136739 | 0.7921222394998685 | 0.6887339171833209 | 0.48257125210789653 | 0.5784379070799239 | 0.4598840817452339 | 0.6029010515642786 | 0.5938234950622032 | 0.4904904927109305 | 0.5605052986891879 | 0.2093611212287237 | 0.4643680295480104 |
|
| 99 |
+
| 0.4707 | 23.0 | 4347 | 0.9896 | 0.4077 | 0.5458 | 0.6966 | 0.6012804567305066 | 0.5800639296088526 | 0.5794478624229116 | 0.29879895350816676 | 0.3816317875809819 | 0.3736029104469615 | 0.44637104206271144 | 0.42412652172215404 | 0.2632970575744547 | 0.41623722811457137 | 0.174674219369118 | 0.35296614657460795 | 0.7110249058053341 | 0.7877768584711767 | 0.7191573316014347 | 0.4628593833491787 | 0.5669834503967731 | 0.5061243598909774 | 0.5890972039631646 | 0.5353692391925092 | 0.4442073414194831 | 0.5584702098352893 | 0.22803194240816863 | 0.440084806091182 |
|
| 100 |
+
| 0.4601 | 24.0 | 4536 | 1.0040 | 0.4104 | 0.5551 | 0.6948 | 0.6060973018933994 | 0.5755818860993427 | 0.572127713234306 | 0.30862118701488633 | 0.3770687484973199 | 0.3706767006886033 | 0.4459350531382886 | 0.42422853154557133 | 0.26650600665049723 | 0.4104022497933222 | 0.19423773810590542 | 0.37320871136749484 | 0.7276747371807664 | 0.771797604797584 | 0.7094761814943847 | 0.4788724575124392 | 0.540134155309791 | 0.5080424186775738 | 0.6040472393092015 | 0.531419858975197 | 0.4572549089199045 | 0.5413847470559795 | 0.2852993299929908 | 0.5062118914234424 |
|
| 101 |
+
| 0.4544 | 25.0 | 4725 | 1.0093 | 0.4093 | 0.5652 | 0.6899 | 0.5825979267621468 | 0.5744922846366791 | 0.5741710257539234 | 0.3108831843775042 | 0.37645872777161477 | 0.3784111229924398 | 0.44411100487450067 | 0.41836500175974967 | 0.26085321418520263 | 0.4218578311850905 | 0.19301158113639072 | 0.37653159598693137 | 0.6781496128029857 | 0.7702782696346562 | 0.7304544322215338 | 0.5101803596088854 | 0.5953744578176565 | 0.5310663826173427 | 0.5960144784924483 | 0.5285622905976679 | 0.46465932583870884 | 0.5860904649672127 | 0.2676049009375201 | 0.5242357650603031 |
|
| 102 |
+
| 0.4421 | 26.0 | 4914 | 1.0434 | 0.4064 | 0.5448 | 0.6938 | 0.5782719302318134 | 0.5821456437819771 | 0.5769930379356891 | 0.2984819508058425 | 0.38847782838050476 | 0.35815488592543404 | 0.4458011146492243 | 0.42198937751114535 | 0.2717222055385853 | 0.4259636158687416 | 0.16897176287777965 | 0.3600349990405605 | 0.6602642634123234 | 0.79885790751984 | 0.7348948005657967 | 0.46896968098764064 | 0.567680361096986 | 0.46196545679558976 | 0.6111148722583205 | 0.5257582949306286 | 0.45560899000026617 | 0.5888990127576392 | 0.21101700881201543 | 0.452968729043507 |
|
| 103 |
+
| 0.4293 | 27.0 | 5103 | 1.0391 | 0.4076 | 0.5571 | 0.6908 | 0.576449524971724 | 0.5776829249236082 | 0.5748939817303267 | 0.28684411349813843 | 0.38238164707816225 | 0.38567669528902265 | 0.44498331866821506 | 0.4170378744857361 | 0.2643751202499573 | 0.42951734443471284 | 0.19222956315945172 | 0.3590380218783961 | 0.6609055169388873 | 0.7890265728833801 | 0.7135604300716891 | 0.47343182906433684 | 0.6032248327110434 | 0.5617317330758985 | 0.6075133551339922 | 0.5145980278813814 | 0.43282122037567766 | 0.6092446857946938 | 0.2685017125122049 | 0.45026050532875256 |
|
| 104 |
+
| 0.4312 | 28.0 | 5292 | 1.0037 | 0.4100 | 0.5534 | 0.6958 | 0.6023112517746669 | 0.5775703878416769 | 0.5768917217173084 | 0.29641066149629575 | 0.3759442966513007 | 0.37579583551194906 | 0.44643724597906814 | 0.4245271517276461 | 0.2712300627246793 | 0.40830916486773133 | 0.19665916283318652 | 0.3680368163146806 | 0.7217623414872529 | 0.7735152547135933 | 0.7273383842606477 | 0.42966391628094186 | 0.6000765791408955 | 0.5321170505808616 | 0.6214596889863638 | 0.5409825877976366 | 0.40535300746209063 | 0.527865644497828 | 0.27674748173473357 | 0.48390954016940585 |
|
| 105 |
+
| 0.4309 | 29.0 | 5481 | 1.0288 | 0.4101 | 0.5493 | 0.6968 | 0.604336950226167 | 0.5814334121957526 | 0.5728312452643266 | 0.28822314503548435 | 0.3867427466374853 | 0.3841188341944978 | 0.43691972293267023 | 0.4253733287028998 | 0.26587102949829194 | 0.42516973202600006 | 0.21060101014373822 | 0.3391005615262353 | 0.705404135828275 | 0.794821357455996 | 0.7009002011448908 | 0.4551633923428706 | 0.5412848683264216 | 0.5356918621320393 | 0.5420932726021768 | 0.524953632819071 | 0.47009618200047915 | 0.5948618961165895 | 0.3047720782460447 | 0.42129747129282863 |
|
| 106 |
+
| 0.4146 | 30.0 | 5670 | 1.0602 | 0.4062 | 0.5445 | 0.6928 | 0.5840281660802761 | 0.5792283828982189 | 0.575018419889744 | 0.28592683019875637 | 0.3839183148850764 | 0.37858643384958507 | 0.4478868974622179 | 0.42586102625998573 | 0.26642385748285347 | 0.394684897922084 | 0.17529695894326974 | 0.3779896896163111 | 0.674379183033903 | 0.8003970499043351 | 0.728890415841166 | 0.44210310823658405 | 0.5409850346530742 | 0.5408980216956584 | 0.5822027587227564 | 0.5334224068933078 | 0.4790023335669858 | 0.5027629121485208 | 0.2177201396944719 | 0.49102314112682743 |
|
| 107 |
+
| 0.4106 | 31.0 | 5859 | 1.0573 | 0.4113 | 0.5520 | 0.6937 | 0.5819166790762904 | 0.5787062040667649 | 0.5775244549049803 | 0.28821437557226565 | 0.38608020854605735 | 0.3887658997414832 | 0.45221133778094125 | 0.4207174380445853 | 0.2722481010652147 | 0.42771387225872526 | 0.2049826799109908 | 0.35658777999445435 | 0.6621758362103106 | 0.7858034932824415 | 0.7534036118191814 | 0.3855455548538872 | 0.5706827496368568 | 0.5888948569893917 | 0.5901646700223098 | 0.4979422721900845 | 0.42678766315004923 | 0.6260161753576922 | 0.27349386158493844 | 0.4630453846709379 |
|
| 108 |
+
| 0.4102 | 32.0 | 6048 | 1.0616 | 0.4043 | 0.5444 | 0.6904 | 0.5769233275949783 | 0.577363439092528 | 0.573656524376844 | 0.2844338620042367 | 0.37624066742761825 | 0.37683161385270303 | 0.44244215305215595 | 0.43311874925226485 | 0.2649180592339648 | 0.395943386843713 | 0.17475651842845388 | 0.3743818447329044 | 0.6629119488571311 | 0.7960392186220868 | 0.7344564993141556 | 0.4132483466457554 | 0.5702876985131896 | 0.5450244792933123 | 0.5855145800434228 | 0.5469302301162207 | 0.4371090388010967 | 0.5086997179978106 | 0.21776299075947392 | 0.5147162297399074 |
|
| 109 |
+
| 0.394 | 33.0 | 6237 | 1.0244 | 0.4104 | 0.5587 | 0.6957 | 0.6076406169174232 | 0.5755133194944758 | 0.5773888012392463 | 0.28867001785116814 | 0.38329193225277725 | 0.3802784432548644 | 0.4483280781724554 | 0.43290536202993546 | 0.2687090953575142 | 0.4193919518677206 | 0.18840448522839137 | 0.3547176940737729 | 0.727907186077618 | 0.7642312461588138 | 0.7249562626143585 | 0.49993754380608046 | 0.5329786652134187 | 0.5418035196469465 | 0.6148407696461775 | 0.5491288541547245 | 0.4677559603559799 | 0.5808149847629112 | 0.2548261011958508 | 0.4455187924933197 |
|
| 110 |
+
| 0.3865 | 34.0 | 6426 | 1.0618 | 0.4086 | 0.5468 | 0.6922 | 0.5728968448399631 | 0.5787231878033336 | 0.5788925417308927 | 0.28531625201952776 | 0.3853944836879137 | 0.3734702977223307 | 0.44691787133681676 | 0.4279088179433081 | 0.2694139635386349 | 0.42395499992729657 | 0.19858275091228783 | 0.36132448264682004 | 0.6570744419427677 | 0.800236166757726 | 0.7189775596036913 | 0.4516033892894567 | 0.5620503761089287 | 0.5182932361662052 | 0.582221651927343 | 0.5443565971042879 | 0.39937046928653186 | 0.5930557677975091 | 0.27516505312001666 | 0.45875762171531154 |
|
| 111 |
+
| 0.3816 | 35.0 | 6615 | 1.0515 | 0.4109 | 0.5587 | 0.6937 | 0.5941835882297523 | 0.5769084394745335 | 0.577658083131294 | 0.2873195257057685 | 0.38670974422343124 | 0.381076263182244 | 0.44477860788484347 | 0.4280700682817085 | 0.26689965883289946 | 0.414678751628772 | 0.19558875118229815 | 0.3773946024843822 | 0.6945783020188105 | 0.7771115993838257 | 0.7289041127552798 | 0.448133600738371 | 0.5477819398833484 | 0.5395933062107361 | 0.5833930306117148 | 0.5406622229889072 | 0.49804353034080723 | 0.5651643065651174 | 0.26963114415404343 | 0.5116376241914018 |
|
| 112 |
+
| 0.3803 | 36.0 | 6804 | 1.0709 | 0.4118 | 0.5507 | 0.6982 | 0.6024058566890507 | 0.581939139640974 | 0.5781720882222374 | 0.28697306903376985 | 0.3849686619672786 | 0.3781058580072099 | 0.44691323917640335 | 0.4258711598039818 | 0.26957106015411386 | 0.417676320571185 | 0.18847809809060276 | 0.3801583560619983 | 0.7039536429646618 | 0.7880683884343289 | 0.731396380419234 | 0.4432030312072782 | 0.5429096426914529 | 0.5308232228468566 | 0.5705141628184882 | 0.5124069040223462 | 0.4618798967196969 | 0.5667018365346953 | 0.24654054169867742 | 0.5100653068804358 |
|
| 113 |
+
| 0.3841 | 37.0 | 6993 | 1.0646 | 0.4102 | 0.5423 | 0.7000 | 0.6099336467831841 | 0.5822218913375944 | 0.5787466349453388 | 0.29203349091743935 | 0.3827276489127724 | 0.37387698506476635 | 0.44160861918544264 | 0.4271016664306198 | 0.2645923656202917 | 0.4199538434226877 | 0.1864396133579928 | 0.36372807952886366 | 0.7276869249624712 | 0.7884122256315795 | 0.729836073619772 | 0.4325369012012408 | 0.5471377026662912 | 0.5196269856535736 | 0.5522782843080914 | 0.5072885672621452 | 0.439025580508061 | 0.561369507359334 | 0.2452978608136193 | 0.45750925954584376 |
|
| 114 |
+
| 0.383 | 38.0 | 7182 | 1.0769 | 0.4076 | 0.5463 | 0.6981 | 0.6027549163108897 | 0.58231781410625 | 0.5799146779080825 | 0.2886899890961726 | 0.38277438751218223 | 0.3770415096034708 | 0.4470217407368539 | 0.42382446995389655 | 0.2639280119156949 | 0.41965772335447976 | 0.16169103199416715 | 0.3610194005695204 | 0.7091792645011474 | 0.7907447078742033 | 0.7296691424790102 | 0.4712736205855615 | 0.5625548260053038 | 0.5483289116967108 | 0.5667000971425602 | 0.5066724810915119 | 0.455165346086617 | 0.5607817202915882 | 0.20023996596401122 | 0.4545286659032055 |
|
| 115 |
+
| 0.3831 | 39.0 | 7371 | 1.0821 | 0.4081 | 0.5438 | 0.6949 | 0.5855637911311572 | 0.5808903381841022 | 0.5771558014399666 | 0.28892432123133105 | 0.37721977915937194 | 0.368251777007578 | 0.4493175870891174 | 0.4296261586111524 | 0.26652145502069263 | 0.4111489900882613 | 0.1902468617294321 | 0.37227155597099765 | 0.6763442058624992 | 0.800011657964694 | 0.7344553579046461 | 0.4677864830917204 | 0.5543661252778019 | 0.5005189827937243 | 0.5817658533666903 | 0.523601457606307 | 0.40713201955582373 | 0.5435867319717048 | 0.24956460257167606 | 0.4864898325543966 |
|
| 116 |
+
| 0.3701 | 40.0 | 7560 | 1.0971 | 0.4094 | 0.5503 | 0.6939 | 0.5830099048621201 | 0.5807726935975722 | 0.5784860119453173 | 0.2947390575247975 | 0.38030662202891763 | 0.3831601500822552 | 0.44964384020912845 | 0.4284216665295126 | 0.2674573756462647 | 0.41114697558384794 | 0.1913032267986909 | 0.36443162280148256 | 0.6681099643338518 | 0.8019720069792564 | 0.7232036283125487 | 0.45190179110485007 | 0.5723541197754489 | 0.546477994040771 | 0.5827900224986577 | 0.5131837083244492 | 0.46864546640284643 | 0.5478759607606497 | 0.25889083079032665 | 0.4677551146739299 |
|
| 117 |
+
| 0.3728 | 41.0 | 7749 | 1.0850 | 0.4073 | 0.5426 | 0.6955 | 0.5853394037929252 | 0.5827356224342397 | 0.5786369604058664 | 0.2921141584716597 | 0.3809210064200722 | 0.37122760846237596 | 0.4463682958452296 | 0.43296470617128885 | 0.26702101487744556 | 0.41803542783759784 | 0.1630556795794455 | 0.36941958662904933 | 0.6698153727280617 | 0.802245750865899 | 0.7318241236329124 | 0.42969167458935054 | 0.5493256781204481 | 0.5160249547251025 | 0.5726640520570764 | 0.5288880126774462 | 0.4574478940223419 | 0.5711251037232947 | 0.19784948869497082 | 0.4841654028289331 |
|
| 118 |
+
| 0.3693 | 42.0 | 7938 | 1.0969 | 0.4065 | 0.5503 | 0.6922 | 0.5755945425147557 | 0.5803828717700393 | 0.5766461910598355 | 0.2872400942424324 | 0.3775474307177321 | 0.37863948926338714 | 0.44795935397653114 | 0.43960454238684643 | 0.2668547600666369 | 0.41323428753925256 | 0.16191679523997696 | 0.3728683001531394 | 0.6542069359050434 | 0.7976682615387576 | 0.7308713320448722 | 0.44501773061949607 | 0.5653019507421896 | 0.538869270774736 | 0.5873936666829358 | 0.56251667450614 | 0.4661854609016619 | 0.5560663849947923 | 0.19690370447456942 | 0.5024049026587019 |
|
| 119 |
+
| 0.3627 | 43.0 | 8127 | 1.0932 | 0.4087 | 0.5497 | 0.6948 | 0.5871638305727986 | 0.5820589434749872 | 0.5761804347525159 | 0.28958028255684565 | 0.3820007496941495 | 0.37419308657400174 | 0.4498546740802223 | 0.4345504528807266 | 0.26846058686975643 | 0.4163665490700885 | 0.1847720166813683 | 0.35970424807604956 | 0.6732413141130548 | 0.7995246428515413 | 0.7126413100641786 | 0.43433425167070316 | 0.563626528797201 | 0.5217319508309168 | 0.5951934113097872 | 0.5607702041441706 | 0.46790458106705235 | 0.5671581929537526 | 0.24491526201895852 | 0.4558925789511694 |
|
| 120 |
+
| 0.3707 | 44.0 | 8316 | 1.1095 | 0.4071 | 0.5449 | 0.6950 | 0.5893578880180173 | 0.58230891244561 | 0.5773963826450411 | 0.2917223998795277 | 0.3800563248255688 | 0.37541415331978173 | 0.44756123514714763 | 0.42874517844111615 | 0.2635005754677585 | 0.40960167389956603 | 0.1911108829137484 | 0.3478480426183308 | 0.6796830706866376 | 0.803457548596816 | 0.7234216375288598 | 0.45707177604596777 | 0.5651155676479467 | 0.535205542591067 | 0.5728081127420495 | 0.5155644795786185 | 0.4590960311615485 | 0.5458174021480566 | 0.2506389399870835 | 0.430668441198015 |
|
| 121 |
+
| 0.3715 | 45.0 | 8505 | 1.0884 | 0.4110 | 0.5481 | 0.6962 | 0.5911726764613177 | 0.5808831008526832 | 0.5791380640089503 | 0.2979757758733404 | 0.3816754139257111 | 0.3750462786815732 | 0.4482713310991634 | 0.43492824560818927 | 0.2677209486339759 | 0.4155496554169982 | 0.1908961967293187 | 0.3686159414588087 | 0.6865908997798711 | 0.7922721276173627 | 0.7332420395960666 | 0.4349206459358367 | 0.5523381961763103 | 0.5312496597577838 | 0.5854673470319562 | 0.5314412880593928 | 0.4323043752162764 | 0.5652806122582028 | 0.24881776972449826 | 0.48332662725556347 |
|
| 122 |
+
| 0.3637 | 46.0 | 8694 | 1.0893 | 0.4116 | 0.5565 | 0.6948 | 0.5922089630289459 | 0.5793574224538854 | 0.5788162264547275 | 0.2952059581834761 | 0.3803638736350059 | 0.37538272880323265 | 0.44868022610885416 | 0.4356459135349899 | 0.2640693916191506 | 0.41593839628419144 | 0.2068370005362519 | 0.3666023386066621 | 0.6867841421982265 | 0.7855706573717709 | 0.7296848368597656 | 0.4425784692680828 | 0.5763147605281125 | 0.5288216913032275 | 0.5846069190064064 | 0.5331374000735017 | 0.4572549089199045 | 0.5724143758009055 | 0.2998656313033151 | 0.48114973124103705 |
|
| 123 |
+
| 0.3581 | 47.0 | 8883 | 1.1164 | 0.4080 | 0.5443 | 0.6938 | 0.5748022659852348 | 0.5822362118627831 | 0.5778999001230829 | 0.290919332430892 | 0.3849077874366579 | 0.3751487053200711 | 0.4487084481145425 | 0.4349983138617468 | 0.26874754613270513 | 0.41495663764397217 | 0.17848504168471463 | 0.3642968778249637 | 0.650595975183327 | 0.8100174578425522 | 0.7248255712255228 | 0.4533868606047147 | 0.550595919425778 | 0.5230221493146161 | 0.5953540035487735 | 0.5514560526984038 | 0.42514396244997915 | 0.5546477684692658 | 0.22449979033586054 | 0.4677355122927564 |
|
| 124 |
+
| 0.3595 | 48.0 | 9072 | 1.1264 | 0.4056 | 0.5374 | 0.6942 | 0.578656971506047 | 0.582262474520565 | 0.578852272811735 | 0.28964405777827035 | 0.3819472950821961 | 0.37498704824270557 | 0.4479219297506049 | 0.4224042491682833 | 0.2664843779566724 | 0.4139911434138953 | 0.17234845209537197 | 0.357964638785141| 0.6590451915603577 | 0.8105713324342202 | 0.7333610315374302 | 0.4352710945794963 | 0.5541979753123436 | 0.5253811620133629 | 0.5813399690466331 | 0.48688700765339743 | 0.43734195185576247 | 0.5611134262144687 | 0.21352685690499001 | 0.45030486861246094 |
|
| 125 |
+
| 0.3604 | 49.0 | 9261 | 1.0948 | 0.4104 | 0.5508 | 0.6953 | 0.587788517555212 | 0.5811739813027937 | 0.5781697291561847 | 0.2930308184570106 | 0.3807194572872057 | 0.379560332388415 | 0.44815709671555476 | 0.43644343261223156 | 0.26593441483261576 | 0.4139365908278215 | 0.19151169592671463 | 0.3678362867974952 | 0.6789945344406888 | 0.7967062773369975 | 0.7227093979949429 | 0.44773110526644505 | 0.5612015226688438 | 0.5522702775287709 | 0.5861175881564799 | 0.5459659213274032 | 0.4310488629406493 | 0.5518188802213042 | 0.25352220450364693 | 0.48167590041990366 |
|
| 126 |
+
| 0.3541 | 50.0 | 9450 | 1.0863 | 0.4097 | 0.5538 | 0.6951 | 0.5921698801573617 | 0.5795623712718901 | 0.5784812820145221 | 0.2917052691882505 | 0.3792639848157326 | 0.37973303153855376 | 0.4481097636024487 | 0.4354492668218124 | 0.26472453634508664 | 0.4173722023142026 | 0.18166072949276144 | 0.36809541729585366 | 0.6884460857323806 | 0.7851625477616788 | 0.7322992353412343 | 0.45229387721112274 | 0.5829333862769369 | 0.5516333441001092 | 0.5904157921999404 | 0.5288772981353482 | 0.4518224891972707 | 0.571864661897264 | 0.23178753217655862 | 0.47833833709905393 |
|
|
|
|
| 127 |
|
| 128 |
### Framework versions
|
| 129 |
|