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@@ -17,12 +17,12 @@ model-index:
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  name: hdfs_log_summary_dataset
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  type: hdfs_log_summary_dataset
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  config: default
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- split: test
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  args: default
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  metrics:
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  - name: Rouge1
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  type: rouge
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- value: 0.3588
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,11 +32,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the hdfs_log_summary_dataset dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.0031
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- - Rouge1: 0.3588
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- - Rouge2: 0.0956
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- - Rougel: 0.2747
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- - Rougelsum: 0.2883
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  - Gen Len: 19.0
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  ## Model description
@@ -69,106 +69,106 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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- | No log | 1.0 | 10 | 2.9194 | 0.2508 | 0.0306 | 0.1977 | 0.2049 | 19.0 |
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- | No log | 2.0 | 20 | 2.6227 | 0.2313 | 0.0208 | 0.1733 | 0.1895 | 17.9 |
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- | No log | 3.0 | 30 | 2.4288 | 0.2135 | 0.0396 | 0.1577 | 0.1745 | 17.5 |
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- | No log | 4.0 | 40 | 2.3059 | 0.3521 | 0.1294 | 0.303 | 0.3153 | 19.0 |
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- | No log | 5.0 | 50 | 2.1717 | 0.42 | 0.1393 | 0.324 | 0.3342 | 19.0 |
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- | No log | 6.0 | 60 | 2.0786 | 0.4378 | 0.1642 | 0.3662 | 0.3862 | 19.0 |
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- | No log | 7.0 | 70 | 2.0037 | 0.4433 | 0.181 | 0.3792 | 0.3979 | 19.0 |
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- | No log | 8.0 | 80 | 1.9295 | 0.4558 | 0.1789 | 0.3783 | 0.4009 | 19.0 |
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- | No log | 9.0 | 90 | 1.8843 | 0.451 | 0.1719 | 0.3677 | 0.3912 | 19.0 |
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- | No log | 10.0 | 100 | 1.8560 | 0.4587 | 0.1853 | 0.3546 | 0.3771 | 19.0 |
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- | No log | 11.0 | 110 | 1.8437 | 0.4878 | 0.2028 | 0.3785 | 0.3975 | 19.0 |
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- | No log | 12.0 | 120 | 1.8144 | 0.4679 | 0.1724 | 0.3588 | 0.3744 | 19.0 |
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- | No log | 13.0 | 130 | 1.7968 | 0.4839 | 0.2225 | 0.3842 | 0.3995 | 19.0 |
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- | No log | 14.0 | 140 | 1.7892 | 0.4571 | 0.154 | 0.3466 | 0.3732 | 19.0 |
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- | No log | 15.0 | 150 | 1.7618 | 0.4605 | 0.1573 | 0.344 | 0.3693 | 19.0 |
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- | No log | 16.0 | 160 | 1.7532 | 0.459 | 0.1738 | 0.3494 | 0.3647 | 19.0 |
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- | No log | 17.0 | 170 | 1.7495 | 0.4583 | 0.1734 | 0.3638 | 0.3788 | 19.0 |
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- | No log | 18.0 | 180 | 1.7276 | 0.4733 | 0.1754 | 0.37 | 0.3808 | 19.0 |
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- | No log | 19.0 | 190 | 1.7532 | 0.4607 | 0.1752 | 0.3624 | 0.3741 | 19.0 |
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- | No log | 20.0 | 200 | 1.7213 | 0.4554 | 0.17 | 0.3572 | 0.3694 | 19.0 |
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- | No log | 21.0 | 210 | 1.7540 | 0.4589 | 0.1699 | 0.357 | 0.3722 | 19.0 |
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- | No log | 22.0 | 220 | 1.7149 | 0.4634 | 0.1751 | 0.3622 | 0.3768 | 19.0 |
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- | No log | 23.0 | 230 | 1.7007 | 0.4634 | 0.1751 | 0.3622 | 0.3768 | 19.0 |
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- | No log | 24.0 | 240 | 1.7055 | 0.4579 | 0.1754 | 0.3566 | 0.3759 | 19.0 |
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- | No log | 25.0 | 250 | 1.6835 | 0.4593 | 0.1736 | 0.361 | 0.375 | 19.0 |
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- | No log | 26.0 | 260 | 1.7127 | 0.4561 | 0.1701 | 0.3619 | 0.3761 | 19.0 |
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- | No log | 27.0 | 270 | 1.6924 | 0.4479 | 0.1616 | 0.3572 | 0.3665 | 19.0 |
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- | No log | 28.0 | 280 | 1.6980 | 0.4148 | 0.142 | 0.3436 | 0.3509 | 19.0 |
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- | No log | 29.0 | 290 | 1.7059 | 0.4207 | 0.1503 | 0.3469 | 0.3615 | 19.0 |
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- | No log | 30.0 | 300 | 1.7335 | 0.3952 | 0.1316 | 0.3243 | 0.3387 | 19.0 |
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- | No log | 31.0 | 310 | 1.7024 | 0.4241 | 0.1427 | 0.34 | 0.347 | 19.0 |
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- | No log | 32.0 | 320 | 1.6907 | 0.4272 | 0.1474 | 0.34 | 0.3539 | 19.0 |
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- | No log | 33.0 | 330 | 1.7033 | 0.4412 | 0.1431 | 0.3325 | 0.3588 | 19.0 |
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- | No log | 34.0 | 340 | 1.6996 | 0.4455 | 0.1473 | 0.3475 | 0.3722 | 19.0 |
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- | No log | 35.0 | 350 | 1.7147 | 0.4394 | 0.1472 | 0.3496 | 0.376 | 19.0 |
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- | No log | 36.0 | 360 | 1.7269 | 0.4292 | 0.1398 | 0.3343 | 0.3601 | 19.0 |
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- | No log | 37.0 | 370 | 1.7504 | 0.4278 | 0.1389 | 0.3351 | 0.3492 | 19.0 |
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- | No log | 38.0 | 380 | 1.7343 | 0.4213 | 0.1387 | 0.3346 | 0.3486 | 19.0 |
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- | No log | 39.0 | 390 | 1.7479 | 0.3881 | 0.1133 | 0.3063 | 0.3212 | 19.0 |
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- | No log | 40.0 | 400 | 1.7642 | 0.3766 | 0.1141 | 0.3086 | 0.3168 | 19.0 |
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- | No log | 41.0 | 410 | 1.7561 | 0.3904 | 0.1221 | 0.3195 | 0.3236 | 19.0 |
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- | No log | 42.0 | 420 | 1.7221 | 0.3977 | 0.0999 | 0.2848 | 0.295 | 19.0 |
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- | No log | 43.0 | 430 | 1.7372 | 0.4015 | 0.1318 | 0.3242 | 0.3338 | 19.0 |
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- | No log | 44.0 | 440 | 1.7632 | 0.3735 | 0.107 | 0.2962 | 0.3118 | 19.0 |
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- | No log | 45.0 | 450 | 1.7462 | 0.3735 | 0.107 | 0.2917 | 0.307 | 19.0 |
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- | No log | 46.0 | 460 | 1.7303 | 0.3766 | 0.107 | 0.2857 | 0.3005 | 19.0 |
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- | No log | 47.0 | 470 | 1.7847 | 0.3677 | 0.1123 | 0.2974 | 0.3136 | 19.0 |
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- | No log | 48.0 | 480 | 1.7970 | 0.3804 | 0.113 | 0.3111 | 0.3255 | 19.0 |
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- | No log | 49.0 | 490 | 1.7922 | 0.3821 | 0.1092 | 0.2993 | 0.3154 | 19.0 |
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- | 1.2487 | 50.0 | 500 | 1.7925 | 0.3954 | 0.1084 | 0.3208 | 0.3394 | 19.0 |
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- | 1.2487 | 51.0 | 510 | 1.7794 | 0.4406 | 0.1359 | 0.3583 | 0.3816 | 19.0 |
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- | 1.2487 | 52.0 | 520 | 1.7403 | 0.3999 | 0.1083 | 0.3056 | 0.3281 | 19.0 |
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- | 1.2487 | 53.0 | 530 | 1.7523 | 0.4071 | 0.121 | 0.3082 | 0.3304 | 19.0 |
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- | 1.2487 | 54.0 | 540 | 1.8127 | 0.4044 | 0.1089 | 0.307 | 0.3297 | 19.0 |
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- | 1.2487 | 55.0 | 550 | 1.8049 | 0.3544 | 0.0984 | 0.2974 | 0.3107 | 19.0 |
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- | 1.2487 | 56.0 | 560 | 1.8057 | 0.3544 | 0.0984 | 0.2974 | 0.3107 | 19.0 |
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- | 1.2487 | 57.0 | 570 | 1.8224 | 0.3769 | 0.1083 | 0.3146 | 0.3255 | 19.0 |
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- | 1.2487 | 58.0 | 580 | 1.8068 | 0.3769 | 0.1083 | 0.3146 | 0.3255 | 19.0 |
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- | 1.2487 | 59.0 | 590 | 1.7821 | 0.3672 | 0.0982 | 0.3037 | 0.3162 | 19.0 |
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- | 1.2487 | 60.0 | 600 | 1.7814 | 0.4225 | 0.1263 | 0.3304 | 0.3518 | 19.0 |
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- | 1.2487 | 61.0 | 610 | 1.8426 | 0.4182 | 0.1329 | 0.3144 | 0.3369 | 19.0 |
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- | 1.2487 | 62.0 | 620 | 1.8970 | 0.4044 | 0.1293 | 0.3046 | 0.327 | 19.0 |
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- | 1.2487 | 63.0 | 630 | 1.9199 | 0.4152 | 0.1138 | 0.3114 | 0.334 | 19.0 |
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- | 1.2487 | 64.0 | 640 | 1.9089 | 0.4152 | 0.1138 | 0.3114 | 0.334 | 19.0 |
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- | 1.2487 | 65.0 | 650 | 1.9055 | 0.387 | 0.1061 | 0.2863 | 0.3085 | 19.0 |
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- | 1.2487 | 66.0 | 660 | 1.9152 | 0.3952 | 0.1106 | 0.2971 | 0.3184 | 19.0 |
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- | 1.2487 | 67.0 | 670 | 1.9108 | 0.3636 | 0.0989 | 0.2852 | 0.2996 | 19.0 |
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- | 1.2487 | 68.0 | 680 | 1.9012 | 0.343 | 0.0937 | 0.2678 | 0.2821 | 19.0 |
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- | 1.2487 | 69.0 | 690 | 1.9481 | 0.3432 | 0.0756 | 0.2594 | 0.2723 | 19.0 |
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- | 1.2487 | 70.0 | 700 | 1.9629 | 0.4152 | 0.1138 | 0.3114 | 0.334 | 19.0 |
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- | 1.2487 | 71.0 | 710 | 1.9386 | 0.4123 | 0.1044 | 0.3149 | 0.3373 | 19.0 |
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- | 1.2487 | 72.0 | 720 | 1.9092 | 0.3956 | 0.1015 | 0.3024 | 0.3236 | 19.0 |
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- | 1.2487 | 73.0 | 730 | 1.8820 | 0.389 | 0.1015 | 0.3029 | 0.321 | 19.0 |
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- | 1.2487 | 74.0 | 740 | 1.8895 | 0.3885 | 0.1111 | 0.2965 | 0.3155 | 19.0 |
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- | 1.2487 | 75.0 | 750 | 1.9141 | 0.39 | 0.1113 | 0.293 | 0.3125 | 19.0 |
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- | 1.2487 | 76.0 | 760 | 1.9794 | 0.3398 | 0.0937 | 0.272 | 0.2829 | 19.0 |
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- | 1.2487 | 77.0 | 770 | 2.0373 | 0.3533 | 0.0952 | 0.2787 | 0.293 | 19.0 |
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- | 1.2487 | 78.0 | 780 | 2.0286 | 0.3533 | 0.0952 | 0.2787 | 0.293 | 19.0 |
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- | 1.2487 | 79.0 | 790 | 2.0324 | 0.3518 | 0.1013 | 0.2708 | 0.2858 | 19.0 |
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- | 1.2487 | 80.0 | 800 | 1.9939 | 0.3518 | 0.1013 | 0.2708 | 0.2858 | 19.0 |
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- | 1.2487 | 81.0 | 810 | 1.9930 | 0.3518 | 0.1013 | 0.2708 | 0.2858 | 19.0 |
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- | 1.2487 | 82.0 | 820 | 1.9631 | 0.3518 | 0.1013 | 0.2708 | 0.2858 | 19.0 |
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- | 1.2487 | 83.0 | 830 | 1.9396 | 0.3518 | 0.1013 | 0.2708 | 0.2858 | 19.0 |
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- | 1.2487 | 84.0 | 840 | 1.9291 | 0.343 | 0.0937 | 0.2678 | 0.2821 | 19.0 |
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- | 1.2487 | 85.0 | 850 | 1.9610 | 0.3374 | 0.0756 | 0.2535 | 0.2666 | 19.0 |
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- | 1.2487 | 86.0 | 860 | 1.9802 | 0.343 | 0.0937 | 0.2678 | 0.2821 | 19.0 |
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- | 1.2487 | 87.0 | 870 | 1.9926 | 0.3518 | 0.1013 | 0.2708 | 0.2858 | 19.0 |
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- | 1.2487 | 88.0 | 880 | 1.9924 | 0.3518 | 0.1013 | 0.2708 | 0.2858 | 19.0 |
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- | 1.2487 | 89.0 | 890 | 2.0042 | 0.3573 | 0.1018 | 0.2669 | 0.2811 | 19.0 |
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- | 1.2487 | 90.0 | 900 | 2.0027 | 0.3573 | 0.1018 | 0.2669 | 0.2811 | 19.0 |
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- | 1.2487 | 91.0 | 910 | 2.0046 | 0.3518 | 0.1013 | 0.2708 | 0.2858 | 19.0 |
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- | 1.2487 | 92.0 | 920 | 2.0020 | 0.3533 | 0.0952 | 0.2787 | 0.293 | 19.0 |
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- | 1.2487 | 93.0 | 930 | 2.0048 | 0.3533 | 0.0952 | 0.2787 | 0.293 | 19.0 |
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- | 1.2487 | 94.0 | 940 | 1.9991 | 0.3588 | 0.0956 | 0.2747 | 0.2883 | 19.0 |
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- | 1.2487 | 95.0 | 950 | 2.0008 | 0.3588 | 0.0956 | 0.2747 | 0.2883 | 19.0 |
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- | 1.2487 | 96.0 | 960 | 2.0071 | 0.3588 | 0.0956 | 0.2747 | 0.2883 | 19.0 |
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- | 1.2487 | 97.0 | 970 | 2.0050 | 0.3588 | 0.0956 | 0.2747 | 0.2883 | 19.0 |
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- | 1.2487 | 98.0 | 980 | 2.0039 | 0.3588 | 0.0956 | 0.2747 | 0.2883 | 19.0 |
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- | 1.2487 | 99.0 | 990 | 2.0033 | 0.3588 | 0.0956 | 0.2747 | 0.2883 | 19.0 |
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- | 0.5044 | 100.0 | 1000 | 2.0031 | 0.3588 | 0.0956 | 0.2747 | 0.2883 | 19.0 |
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  ### Framework versions
 
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  name: hdfs_log_summary_dataset
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  type: hdfs_log_summary_dataset
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  config: default
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+ split: train
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  args: default
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  metrics:
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  - name: Rouge1
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  type: rouge
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+ value: 0.4164
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  ---
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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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  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the hdfs_log_summary_dataset dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.1319
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+ - Rouge1: 0.4164
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+ - Rouge2: 0.1024
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+ - Rougel: 0.3062
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+ - Rougelsum: 0.2972
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  - Gen Len: 19.0
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | No log | 1.0 | 12 | 2.7041 | 0.2055 | 0.0262 | 0.1605 | 0.1605 | 19.0 |
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+ | No log | 2.0 | 24 | 2.5221 | 0.2579 | 0.043 | 0.1681 | 0.188 | 18.4 |
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+ | No log | 3.0 | 36 | 2.3734 | 0.2267 | 0.0312 | 0.1471 | 0.142 | 15.0 |
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+ | No log | 4.0 | 48 | 2.2547 | 0.3859 | 0.0906 | 0.284 | 0.2976 | 19.0 |
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+ | No log | 5.0 | 60 | 2.1711 | 0.4009 | 0.1082 | 0.3073 | 0.3049 | 17.2 |
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+ | No log | 6.0 | 72 | 2.1276 | 0.451 | 0.1003 | 0.2929 | 0.3133 | 19.0 |
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+ | No log | 7.0 | 84 | 2.0695 | 0.4656 | 0.1099 | 0.2987 | 0.3184 | 19.0 |
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+ | No log | 8.0 | 96 | 2.0238 | 0.4656 | 0.1199 | 0.2987 | 0.3184 | 19.0 |
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+ | No log | 9.0 | 108 | 1.9969 | 0.4656 | 0.1292 | 0.308 | 0.3288 | 19.0 |
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+ | No log | 10.0 | 120 | 1.9705 | 0.4646 | 0.1422 | 0.3081 | 0.3262 | 19.0 |
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+ | No log | 11.0 | 132 | 1.9569 | 0.4364 | 0.1155 | 0.3061 | 0.3259 | 19.0 |
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+ | No log | 12.0 | 144 | 1.9347 | 0.4459 | 0.1249 | 0.2999 | 0.3207 | 19.0 |
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+ | No log | 13.0 | 156 | 1.8836 | 0.4459 | 0.1249 | 0.2999 | 0.3207 | 19.0 |
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+ | No log | 14.0 | 168 | 1.8488 | 0.4245 | 0.0965 | 0.289 | 0.3086 | 19.0 |
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+ | No log | 15.0 | 180 | 1.8547 | 0.4253 | 0.1076 | 0.3125 | 0.3101 | 19.0 |
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+ | No log | 16.0 | 192 | 1.8332 | 0.452 | 0.1166 | 0.2952 | 0.3096 | 19.0 |
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+ | No log | 17.0 | 204 | 1.8252 | 0.4578 | 0.1247 | 0.3185 | 0.3285 | 19.0 |
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+ | No log | 18.0 | 216 | 1.8042 | 0.4656 | 0.1343 | 0.3267 | 0.3333 | 19.0 |
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+ | No log | 19.0 | 228 | 1.7856 | 0.4578 | 0.1247 | 0.3185 | 0.3285 | 19.0 |
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+ | No log | 20.0 | 240 | 1.8086 | 0.4451 | 0.1308 | 0.3241 | 0.3328 | 19.0 |
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+ | No log | 21.0 | 252 | 1.8156 | 0.433 | 0.1389 | 0.3247 | 0.3279 | 19.0 |
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+ | No log | 22.0 | 264 | 1.7810 | 0.4429 | 0.1135 | 0.3005 | 0.3155 | 19.0 |
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+ | No log | 23.0 | 276 | 1.7715 | 0.3852 | 0.072 | 0.2633 | 0.2655 | 19.0 |
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+ | No log | 24.0 | 288 | 1.8142 | 0.4176 | 0.1092 | 0.2922 | 0.2922 | 19.0 |
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+ | No log | 25.0 | 300 | 1.8024 | 0.4111 | 0.11 | 0.2811 | 0.2811 | 19.0 |
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+ | No log | 26.0 | 312 | 1.7650 | 0.404 | 0.1024 | 0.2776 | 0.2756 | 19.0 |
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+ | No log | 27.0 | 324 | 1.7557 | 0.4032 | 0.0963 | 0.2769 | 0.2733 | 19.0 |
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+ | No log | 28.0 | 336 | 1.7856 | 0.4282 | 0.1475 | 0.3136 | 0.3129 | 19.0 |
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+ | No log | 29.0 | 348 | 1.7468 | 0.4325 | 0.1374 | 0.3167 | 0.3167 | 19.0 |
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+ | No log | 30.0 | 360 | 1.7433 | 0.4258 | 0.1562 | 0.3007 | 0.3007 | 19.0 |
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+ | No log | 31.0 | 372 | 1.7651 | 0.4325 | 0.1556 | 0.3253 | 0.3253 | 19.0 |
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+ | No log | 32.0 | 384 | 1.7467 | 0.3914 | 0.0991 | 0.2751 | 0.2751 | 19.0 |
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+ | No log | 33.0 | 396 | 1.7758 | 0.3914 | 0.0991 | 0.2751 | 0.2751 | 19.0 |
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+ | No log | 34.0 | 408 | 1.7551 | 0.3858 | 0.0991 | 0.269 | 0.269 | 19.0 |
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+ | No log | 35.0 | 420 | 1.7500 | 0.3999 | 0.1255 | 0.2931 | 0.2931 | 19.0 |
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+ | No log | 36.0 | 432 | 1.7631 | 0.4176 | 0.1446 | 0.3276 | 0.3273 | 19.0 |
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+ | No log | 37.0 | 444 | 1.7702 | 0.406 | 0.1277 | 0.2883 | 0.2883 | 19.0 |
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+ | No log | 38.0 | 456 | 1.8084 | 0.3933 | 0.1088 | 0.2771 | 0.2771 | 19.0 |
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+ | No log | 39.0 | 468 | 1.8104 | 0.3999 | 0.1308 | 0.3018 | 0.3018 | 19.0 |
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+ | No log | 40.0 | 480 | 1.8087 | 0.3864 | 0.1097 | 0.2785 | 0.2785 | 19.0 |
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+ | No log | 41.0 | 492 | 1.8254 | 0.3974 | 0.1277 | 0.2883 | 0.2883 | 19.0 |
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+ | 1.3176 | 42.0 | 504 | 1.8406 | 0.4042 | 0.1385 | 0.2955 | 0.2955 | 19.0 |
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+ | 1.3176 | 43.0 | 516 | 1.8620 | 0.3864 | 0.1097 | 0.2785 | 0.2785 | 19.0 |
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+ | 1.3176 | 44.0 | 528 | 1.8932 | 0.3855 | 0.108 | 0.2872 | 0.2867 | 19.0 |
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+ | 1.3176 | 45.0 | 540 | 1.8810 | 0.3911 | 0.108 | 0.2994 | 0.2994 | 19.0 |
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+ | 1.3176 | 46.0 | 552 | 1.8600 | 0.3985 | 0.1095 | 0.298 | 0.2969 | 19.0 |
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+ | 1.3176 | 47.0 | 564 | 1.8706 | 0.3937 | 0.1178 | 0.2932 | 0.2932 | 19.0 |
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+ | 1.3176 | 48.0 | 576 | 1.8394 | 0.4061 | 0.1178 | 0.306 | 0.3056 | 19.0 |
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+ | 1.3176 | 49.0 | 588 | 1.8910 | 0.3929 | 0.0813 | 0.2833 | 0.2822 | 19.0 |
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+ | 1.3176 | 50.0 | 600 | 1.9152 | 0.3808 | 0.0807 | 0.281 | 0.2805 | 19.0 |
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+ | 1.3176 | 51.0 | 612 | 1.9092 | 0.3883 | 0.0918 | 0.289 | 0.289 | 19.0 |
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+ | 1.3176 | 52.0 | 624 | 1.8571 | 0.3877 | 0.1009 | 0.2971 | 0.2971 | 19.0 |
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+ | 1.3176 | 53.0 | 636 | 1.8913 | 0.3985 | 0.1254 | 0.3069 | 0.3052 | 19.0 |
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+ | 1.3176 | 54.0 | 648 | 1.9744 | 0.3985 | 0.1254 | 0.3069 | 0.3052 | 19.0 |
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+ | 1.3176 | 55.0 | 660 | 1.9156 | 0.3975 | 0.1024 | 0.292 | 0.2837 | 19.0 |
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+ | 1.3176 | 56.0 | 672 | 1.8886 | 0.3937 | 0.1183 | 0.306 | 0.303 | 19.0 |
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+ | 1.3176 | 57.0 | 684 | 1.9325 | 0.3883 | 0.1178 | 0.306 | 0.3056 | 19.0 |
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+ | 1.3176 | 58.0 | 696 | 1.9252 | 0.3994 | 0.1183 | 0.3175 | 0.3158 | 19.0 |
130
+ | 1.3176 | 59.0 | 708 | 1.9159 | 0.3883 | 0.1178 | 0.306 | 0.3056 | 19.0 |
131
+ | 1.3176 | 60.0 | 720 | 2.0071 | 0.4097 | 0.1369 | 0.3281 | 0.3261 | 19.0 |
132
+ | 1.3176 | 61.0 | 732 | 1.9834 | 0.4164 | 0.1358 | 0.3266 | 0.3247 | 19.0 |
133
+ | 1.3176 | 62.0 | 744 | 1.9928 | 0.4378 | 0.1185 | 0.3342 | 0.3261 | 19.0 |
134
+ | 1.3176 | 63.0 | 756 | 1.9718 | 0.4267 | 0.1149 | 0.3306 | 0.3239 | 19.0 |
135
+ | 1.3176 | 64.0 | 768 | 1.9513 | 0.4267 | 0.1149 | 0.3306 | 0.3239 | 19.0 |
136
+ | 1.3176 | 65.0 | 780 | 1.9836 | 0.4067 | 0.1021 | 0.2976 | 0.29 | 19.0 |
137
+ | 1.3176 | 66.0 | 792 | 1.9588 | 0.4134 | 0.1015 | 0.3069 | 0.2992 | 19.0 |
138
+ | 1.3176 | 67.0 | 804 | 1.9513 | 0.4098 | 0.101 | 0.3142 | 0.3072 | 19.0 |
139
+ | 1.3176 | 68.0 | 816 | 2.0276 | 0.4146 | 0.1015 | 0.3142 | 0.3045 | 19.0 |
140
+ | 1.3176 | 69.0 | 828 | 2.0201 | 0.4134 | 0.1015 | 0.3069 | 0.2992 | 19.0 |
141
+ | 1.3176 | 70.0 | 840 | 2.0082 | 0.4001 | 0.1022 | 0.3051 | 0.3051 | 19.0 |
142
+ | 1.3176 | 71.0 | 852 | 2.0198 | 0.4004 | 0.1022 | 0.3124 | 0.3115 | 19.0 |
143
+ | 1.3176 | 72.0 | 864 | 2.0386 | 0.4209 | 0.1015 | 0.3251 | 0.3172 | 19.0 |
144
+ | 1.3176 | 73.0 | 876 | 2.0227 | 0.4057 | 0.1022 | 0.3221 | 0.3221 | 19.0 |
145
+ | 1.3176 | 74.0 | 888 | 2.0413 | 0.4014 | 0.1031 | 0.3045 | 0.3024 | 19.0 |
146
+ | 1.3176 | 75.0 | 900 | 2.0415 | 0.4014 | 0.1031 | 0.3045 | 0.3024 | 19.0 |
147
+ | 1.3176 | 76.0 | 912 | 2.0913 | 0.4014 | 0.1031 | 0.3045 | 0.3024 | 19.0 |
148
+ | 1.3176 | 77.0 | 924 | 2.0887 | 0.4014 | 0.1031 | 0.3045 | 0.3024 | 19.0 |
149
+ | 1.3176 | 78.0 | 936 | 2.0997 | 0.4004 | 0.1022 | 0.3124 | 0.3115 | 19.0 |
150
+ | 1.3176 | 79.0 | 948 | 2.0907 | 0.4014 | 0.1031 | 0.3045 | 0.3024 | 19.0 |
151
+ | 1.3176 | 80.0 | 960 | 2.1398 | 0.4164 | 0.1024 | 0.3062 | 0.2972 | 19.0 |
152
+ | 1.3176 | 81.0 | 972 | 2.1364 | 0.4164 | 0.1024 | 0.3062 | 0.2972 | 19.0 |
153
+ | 1.3176 | 82.0 | 984 | 2.1417 | 0.4164 | 0.1024 | 0.3062 | 0.2972 | 19.0 |
154
+ | 1.3176 | 83.0 | 996 | 2.1454 | 0.4014 | 0.1031 | 0.3045 | 0.3024 | 19.0 |
155
+ | 0.5445 | 84.0 | 1008 | 2.1506 | 0.4014 | 0.1031 | 0.3045 | 0.3024 | 19.0 |
156
+ | 0.5445 | 85.0 | 1020 | 2.1224 | 0.4151 | 0.1184 | 0.3106 | 0.3036 | 19.0 |
157
+ | 0.5445 | 86.0 | 1032 | 2.0857 | 0.4151 | 0.1184 | 0.3106 | 0.3036 | 19.0 |
158
+ | 0.5445 | 87.0 | 1044 | 2.0810 | 0.3939 | 0.103 | 0.2969 | 0.2898 | 19.0 |
159
+ | 0.5445 | 88.0 | 1056 | 2.0854 | 0.4007 | 0.103 | 0.2969 | 0.2898 | 19.0 |
160
+ | 0.5445 | 89.0 | 1068 | 2.1048 | 0.4098 | 0.103 | 0.2969 | 0.2898 | 19.0 |
161
+ | 0.5445 | 90.0 | 1080 | 2.1153 | 0.4007 | 0.103 | 0.2969 | 0.2898 | 19.0 |
162
+ | 0.5445 | 91.0 | 1092 | 2.1200 | 0.3971 | 0.1018 | 0.2939 | 0.2873 | 19.0 |
163
+ | 0.5445 | 92.0 | 1104 | 2.1221 | 0.3971 | 0.1018 | 0.2939 | 0.2873 | 19.0 |
164
+ | 0.5445 | 93.0 | 1116 | 2.1291 | 0.4007 | 0.103 | 0.2969 | 0.2898 | 19.0 |
165
+ | 0.5445 | 94.0 | 1128 | 2.1419 | 0.4164 | 0.1024 | 0.3062 | 0.2972 | 19.0 |
166
+ | 0.5445 | 95.0 | 1140 | 2.1438 | 0.4073 | 0.1024 | 0.3062 | 0.2972 | 19.0 |
167
+ | 0.5445 | 96.0 | 1152 | 2.1381 | 0.4164 | 0.1024 | 0.3062 | 0.2972 | 19.0 |
168
+ | 0.5445 | 97.0 | 1164 | 2.1349 | 0.4164 | 0.1024 | 0.3062 | 0.2972 | 19.0 |
169
+ | 0.5445 | 98.0 | 1176 | 2.1347 | 0.4164 | 0.1024 | 0.3062 | 0.2972 | 19.0 |
170
+ | 0.5445 | 99.0 | 1188 | 2.1322 | 0.4164 | 0.1024 | 0.3062 | 0.2972 | 19.0 |
171
+ | 0.5445 | 100.0 | 1200 | 2.1319 | 0.4164 | 0.1024 | 0.3062 | 0.2972 | 19.0 |
172
 
173
 
174
  ### Framework versions
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