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cynthiachan
/
finetune-roberta

Token Classification
Transformers
PyTorch
roberta
Generated from Trainer
Inference Endpoints
Model card Files Community

training

This model is a fine-tuned version of roberta-base on the cynthiachan/FeedRef2022 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0342
  • Attackid Precision: 0.9444
  • Attackid Recall: 0.9808
  • Attackid F1: 0.9623
  • Attackid Number: 52
  • Bitcoinaddr Precision: 0.7778
  • Bitcoinaddr Recall: 1.0
  • Bitcoinaddr F1: 0.8750
  • Bitcoinaddr Number: 7
  • Cve Precision: 0.9118
  • Cve Recall: 0.9841
  • Cve F1: 0.9466
  • Cve Number: 63
  • Defenderthreat Precision: 1.0
  • Defenderthreat Recall: 1.0
  • Defenderthreat F1: 1.0
  • Defenderthreat Number: 7
  • Domain Precision: 0.9429
  • Domain Recall: 0.9612
  • Domain F1: 0.9519
  • Domain Number: 206
  • Email Precision: 0.875
  • Email Recall: 0.9767
  • Email F1: 0.9231
  • Email Number: 43
  • Filepath Precision: 0.9552
  • Filepath Recall: 0.9667
  • Filepath F1: 0.9609
  • Filepath Number: 1654
  • Fingerprint Precision: 0.0
  • Fingerprint Recall: 0.0
  • Fingerprint F1: 0.0
  • Fingerprint Number: 2
  • Hostname Precision: 0.8861
  • Hostname Recall: 0.9722
  • Hostname F1: 0.9272
  • Hostname Number: 144
  • Ipv4 Precision: 0.9828
  • Ipv4 Recall: 1.0
  • Ipv4 F1: 0.9913
  • Ipv4 Number: 171
  • Ipv6 Precision: 0.6
  • Ipv6 Recall: 1.0
  • Ipv6 F1: 0.7500
  • Ipv6 Number: 3
  • Md5 Precision: 0.9767
  • Md5 Recall: 0.9952
  • Md5 F1: 0.9859
  • Md5 Number: 421
  • Sha1 Precision: 0.9778
  • Sha1 Recall: 0.8980
  • Sha1 F1: 0.9362
  • Sha1 Number: 49
  • Sha256 Precision: 0.9440
  • Sha256 Recall: 0.9959
  • Sha256 F1: 0.9693
  • Sha256 Number: 491
  • Uri Precision: 1.0
  • Uri Recall: 0.6364
  • Uri F1: 0.7778
  • Uri Number: 11
  • Overall Precision: 0.9510
  • Overall Recall: 0.9744
  • Overall F1: 0.9626
  • Overall Accuracy: 0.9917

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss Attackid Precision Attackid Recall Attackid F1 Attackid Number Bitcoinaddr Precision Bitcoinaddr Recall Bitcoinaddr F1 Bitcoinaddr Number Cve Precision Cve Recall Cve F1 Cve Number Defenderthreat Precision Defenderthreat Recall Defenderthreat F1 Defenderthreat Number Domain Precision Domain Recall Domain F1 Domain Number Email Precision Email Recall Email F1 Email Number Filepath Precision Filepath Recall Filepath F1 Filepath Number Fingerprint Precision Fingerprint Recall Fingerprint F1 Fingerprint Number Hostname Precision Hostname Recall Hostname F1 Hostname Number Ipv4 Precision Ipv4 Recall Ipv4 F1 Ipv4 Number Ipv6 Precision Ipv6 Recall Ipv6 F1 Ipv6 Number Md5 Precision Md5 Recall Md5 F1 Md5 Number Sha1 Precision Sha1 Recall Sha1 F1 Sha1 Number Sha256 Precision Sha256 Recall Sha256 F1 Sha256 Number Uri Precision Uri Recall Uri F1 Uri Number Overall Precision Overall Recall Overall F1 Overall Accuracy
0.4668 0.04 500 0.3397 0.0 0.0 0.0 52 0.0 0.0 0.0 7 0.0 0.0 0.0 63 0.0 0.0 0.0 7 0.0 0.0 0.0 206 0.0 0.0 0.0 43 0.2430 0.4081 0.3046 1654 0.0 0.0 0.0 2 0.0 0.0 0.0 144 0.0813 0.7076 0.1458 171 0.0 0.0 0.0 3 0.0 0.0 0.0 421 0.0 0.0 0.0 49 0.3072 0.9593 0.4654 491 0.0 0.0 0.0 11 0.2184 0.3812 0.2777 0.9092
0.3019 0.07 1000 0.2731 0.0 0.0 0.0 52 0.0 0.0 0.0 7 0.2784 0.4286 0.3375 63 0.0 0.0 0.0 7 0.0 0.0 0.0 206 0.0 0.0 0.0 43 0.3912 0.5024 0.4399 1654 0.0 0.0 0.0 2 0.3409 0.8333 0.4839 144 0.2961 0.6199 0.4008 171 0.0 0.0 0.0 3 0.0341 0.0071 0.0118 421 0.0 0.0 0.0 49 0.3619 0.9369 0.5221 491 0.0 0.0 0.0 11 0.3606 0.4654 0.4064 0.9248
0.2221 0.11 1500 0.1838 0.4571 0.3077 0.3678 52 0.0 0.0 0.0 7 0.6552 0.9048 0.7600 63 0.0 0.0 0.0 7 0.4091 0.7864 0.5382 206 0.0 0.0 0.0 43 0.5131 0.7805 0.6192 1654 0.0 0.0 0.0 2 0.0073 0.0069 0.0071 144 0.7381 0.7251 0.7316 171 0.0 0.0 0.0 3 0.5632 0.7411 0.64 421 0.0 0.0 0.0 49 0.7054 0.9511 0.8101 491 0.0 0.0 0.0 11 0.5335 0.7310 0.6168 0.9542
0.1604 0.15 2000 0.1851 0.6053 0.4423 0.5111 52 0.0 0.0 0.0 7 0.6593 0.9524 0.7792 63 0.0 0.0 0.0 7 0.5053 0.6893 0.5832 206 0.0145 0.0233 0.0179 43 0.6389 0.8591 0.7329 1654 0.0 0.0 0.0 2 0.4274 0.7361 0.5408 144 0.5285 0.9766 0.6858 171 0.0 0.0 0.0 3 0.2347 0.3183 0.2702 421 0.0 0.0 0.0 49 0.6340 0.9633 0.7648 491 0.0 0.0 0.0 11 0.5513 0.7602 0.6391 0.9523
0.1648 0.19 2500 0.1463 0.6456 0.9808 0.7786 52 0.0 0.0 0.0 7 0.7590 1.0 0.8630 63 0.0 0.0 0.0 7 0.5135 0.6456 0.5720 206 0.0132 0.0233 0.0168 43 0.6734 0.8924 0.7676 1654 0.0 0.0 0.0 2 0.4586 0.5764 0.5108 144 0.8030 0.9298 0.8618 171 0.0 0.0 0.0 3 0.6868 0.9169 0.7854 421 0.0 0.0 0.0 49 0.8301 0.9654 0.8927 491 0.0 0.0 0.0 11 0.6727 0.8502 0.7511 0.9660
0.1393 0.22 3000 0.1464 0.4262 1.0 0.5977 52 0.0 0.0 0.0 7 0.8514 1.0 0.9197 63 0.0 0.0 0.0 7 0.7716 0.7379 0.7543 206 0.4186 0.4186 0.4186 43 0.6329 0.9154 0.7484 1654 0.0 0.0 0.0 2 0.7029 0.8542 0.7712 144 0.6055 0.7719 0.6787 171 0.0 0.0 0.0 3 0.6273 0.8836 0.7337 421 0.0 0.0 0.0 49 0.6398 0.9043 0.7494 491 0.0 0.0 0.0 11 0.6366 0.8634 0.7329 0.9630
0.1347 0.26 3500 0.2831 0.7193 0.7885 0.7523 52 0.0 0.0 0.0 7 0.7564 0.9365 0.8369 63 0.0 0.0 0.0 7 0.6289 0.7816 0.6970 206 0.2362 0.6977 0.3529 43 0.7747 0.7836 0.7791 1654 0.0 0.0 0.0 2 0.4041 0.9514 0.5673 144 0.6490 0.9298 0.7644 171 0.0 0.0 0.0 3 0.7306 0.4703 0.5723 421 0.0 0.0 0.0 49 0.4872 0.9267 0.6386 491 0.0 0.0 0.0 11 0.6372 0.7629 0.6944 0.9469
0.1446 0.3 4000 0.1517 0.6933 1.0 0.8189 52 0.0 0.0 0.0 7 0.7867 0.9365 0.8551 63 0.0 0.0 0.0 7 0.9007 0.6602 0.7619 206 0.6792 0.8372 0.7500 43 0.7423 0.8845 0.8072 1654 0.0 0.0 0.0 2 0.7671 0.7778 0.7724 144 0.7229 0.9766 0.8308 171 0.0 0.0 0.0 3 0.5802 0.7815 0.6660 421 0.0 0.0 0.0 49 0.7468 0.9491 0.8359 491 0.0 0.0 0.0 11 0.7244 0.8484 0.7815 0.9653
0.1432 0.34 4500 0.1731 0.8627 0.8462 0.8544 52 0.0 0.0 0.0 7 0.8267 0.9841 0.8986 63 0.0 0.0 0.0 7 0.7810 0.7961 0.7885 206 0.6032 0.8837 0.7170 43 0.7460 0.7902 0.7675 1654 0.0 0.0 0.0 2 0.7963 0.8958 0.8431 144 0.9064 0.9064 0.9064 171 0.0 0.0 0.0 3 0.7905 0.6722 0.7266 421 0.0 0.0 0.0 49 0.6094 0.9532 0.7434 491 0.0 0.0 0.0 11 0.7341 0.7972 0.7643 0.9637
0.15 0.37 5000 0.1349 0.3768 1.0 0.5474 52 0.0 0.0 0.0 7 0.7407 0.9524 0.8333 63 0.0 0.0 0.0 7 0.8 0.6602 0.7234 206 0.4933 0.8605 0.6271 43 0.7127 0.8670 0.7823 1654 0.0 0.0 0.0 2 0.6961 0.875 0.7754 144 0.7273 0.9357 0.8184 171 0.0 0.0 0.0 3 0.7753 0.9097 0.8372 421 0.0 0.0 0.0 49 0.7236 0.9491 0.8211 491 0.0 0.0 0.0 11 0.7108 0.8586 0.7778 0.9680
0.1143 0.41 5500 0.1367 0.7692 0.9615 0.8547 52 0.0 0.0 0.0 7 0.75 0.9524 0.8392 63 0.0 0.0 0.0 7 0.8770 0.7961 0.8346 206 0.6182 0.7907 0.6939 43 0.7857 0.8114 0.7983 1654 0.0 0.0 0.0 2 0.8 0.8889 0.8421 144 0.8564 0.9766 0.9126 171 0.0 0.0 0.0 3 0.7505 0.9572 0.8413 421 0.0 0.0 0.0 49 0.8140 0.9267 0.8667 491 0.0 0.0 0.0 11 0.7905 0.8433 0.8160 0.9678
0.1248 0.45 6000 0.1469 0.98 0.9423 0.9608 52 0.0 0.0 0.0 7 0.7922 0.9683 0.8714 63 0.0 0.0 0.0 7 0.7377 0.8738 0.8000 206 0.6441 0.8837 0.7451 43 0.7644 0.9081 0.8301 1654 0.0 0.0 0.0 2 0.8224 0.8681 0.8446 144 0.9506 0.9006 0.9249 171 0.0 0.0 0.0 3 0.8230 0.8171 0.8200 421 0.0 0.0 0.0 49 0.6504 0.9776 0.7811 491 0.0 0.0 0.0 11 0.7589 0.8824 0.8160 0.9669
0.114 0.49 6500 0.1515 0.6420 1.0 0.7820 52 0.0 0.0 0.0 7 0.6897 0.9524 0.8000 63 0.0 0.0 0.0 7 0.7682 0.8689 0.8155 206 0.5467 0.9535 0.6949 43 0.7419 0.8688 0.8003 1654 0.0 0.0 0.0 2 0.5690 0.9444 0.7102 144 0.6450 0.8713 0.7413 171 0.0 0.0 0.0 3 0.8210 0.8717 0.8456 421 0.0 0.0 0.0 49 0.5405 0.9919 0.6997 491 0.0 0.0 0.0 11 0.6873 0.8748 0.7698 0.9646
0.1155 0.52 7000 0.1072 0.7458 0.8462 0.7928 52 0.0 0.0 0.0 7 0.8529 0.9206 0.8855 63 0.0 0.0 0.0 7 0.8482 0.7864 0.8161 206 0.6667 0.6977 0.6818 43 0.7738 0.8851 0.8257 1654 0.0 0.0 0.0 2 0.7193 0.8542 0.7810 144 0.8713 0.8713 0.8713 171 0.0 0.0 0.0 3 0.7988 0.9430 0.8649 421 0.0 0.0 0.0 49 0.7748 0.9878 0.8684 491 0.0 0.0 0.0 11 0.7828 0.8761 0.8268 0.9750
0.114 0.56 7500 0.1010 0.7692 0.9615 0.8547 52 0.0 0.0 0.0 7 0.7945 0.9206 0.8529 63 0.0 0.0 0.0 7 0.8901 0.8252 0.8564 206 0.7018 0.9302 0.8 43 0.7897 0.9353 0.8564 1654 0.0 0.0 0.0 2 0.7831 0.9028 0.8387 144 0.8839 0.8012 0.8405 171 0.0 0.0 0.0 3 0.808 0.9596 0.8773 421 0.0714 0.0204 0.0317 49 0.8501 0.9470 0.8960 491 0.0 0.0 0.0 11 0.8055 0.9031 0.8515 0.9786
0.0875 0.6 8000 0.1046 0.8980 0.8462 0.8713 52 0.0 0.0 0.0 7 0.2754 0.3016 0.2879 63 0.0 0.0 0.0 7 0.8136 0.8689 0.8404 206 0.6667 0.9302 0.7767 43 0.7840 0.8863 0.8320 1654 0.0 0.0 0.0 2 0.8210 0.9236 0.8693 144 0.88 0.9006 0.8902 171 0.0 0.0 0.0 3 0.7318 0.9525 0.8277 421 0.0 0.0 0.0 49 0.8169 0.9633 0.8841 491 0.0 0.0 0.0 11 0.7793 0.8752 0.8244 0.9728
0.1037 0.64 8500 0.1160 0.8793 0.9808 0.9273 52 0.0 0.0 0.0 7 0.6941 0.9365 0.7973 63 0.0 0.0 0.0 7 0.6875 0.9078 0.7824 206 0.8077 0.9767 0.8842 43 0.8285 0.8005 0.8143 1654 0.0 0.0 0.0 2 0.7556 0.9444 0.8395 144 0.8542 0.9591 0.9036 171 0.0 0.0 0.0 3 0.8275 0.9572 0.8877 421 0.0 0.0 0.0 49 0.6814 0.9715 0.8010 491 0.0 0.0 0.0 11 0.7845 0.8553 0.8184 0.9768
0.1209 0.67 9000 0.0919 0.6842 1.0 0.8125 52 0.0 0.0 0.0 7 0.7778 1.0 0.8750 63 0.0 0.0 0.0 7 0.8579 0.8204 0.8387 206 0.4655 0.6279 0.5347 43 0.8362 0.8948 0.8645 1654 0.0 0.0 0.0 2 0.8481 0.9306 0.8874 144 0.9486 0.9708 0.9595 171 0.0 0.0 0.0 3 0.7771 0.9359 0.8491 421 0.0161 0.0204 0.0180 49 0.7703 0.9837 0.8640 491 0.0 0.0 0.0 11 0.7973 0.8932 0.8425 0.9784
0.0902 0.71 9500 0.1148 0.3881 1.0 0.5591 52 0.0 0.0 0.0 7 0.1702 0.1270 0.1455 63 0.0 0.0 0.0 7 0.8152 0.8350 0.8249 206 0.5556 0.9302 0.6957 43 0.8255 0.8664 0.8454 1654 0.0 0.0 0.0 2 0.7853 0.8889 0.8339 144 0.7981 0.9708 0.8760 171 0.0 0.0 0.0 3 0.7852 0.9810 0.8722 421 0.0 0.0 0.0 49 0.8889 0.9776 0.9311 491 0.0 0.0 0.0 11 0.7952 0.8700 0.8309 0.9767
0.1048 0.75 10000 0.0956 0.7429 1.0 0.8525 52 0.0 0.0 0.0 7 0.7532 0.9206 0.8286 63 0.0 0.0 0.0 7 0.8969 0.8447 0.87 206 0.7407 0.9302 0.8247 43 0.8253 0.9111 0.8661 1654 0.0 0.0 0.0 2 0.7299 0.8819 0.7987 144 0.7313 0.9708 0.8342 171 0.0 0.0 0.0 3 0.7490 0.9359 0.8321 421 0.1565 0.3673 0.2195 49 0.8010 0.9756 0.8797 491 0.0 0.0 0.0 11 0.7809 0.9070 0.8392 0.9776
0.0827 0.79 10500 0.0900 0.8621 0.9615 0.9091 52 0.0 0.0 0.0 7 0.7639 0.8730 0.8148 63 0.0 0.0 0.0 7 0.6941 0.8592 0.7679 206 0.5846 0.8837 0.7037 43 0.8162 0.9021 0.8570 1654 0.0 0.0 0.0 2 0.6974 0.9444 0.8024 144 0.8876 0.9240 0.9054 171 0.0 0.0 0.0 3 0.8450 0.9192 0.8805 421 0.3333 0.6327 0.4366 49 0.8385 0.9837 0.9053 491 0.0 0.0 0.0 11 0.7917 0.9046 0.8444 0.9811
0.1153 0.82 11000 0.1042 0.7183 0.9808 0.8293 52 0.0 0.0 0.0 7 0.6742 0.9524 0.7895 63 0.0 0.0 0.0 7 0.7038 0.8883 0.7854 206 0.6833 0.9535 0.7961 43 0.8374 0.8966 0.8660 1654 0.0 0.0 0.0 2 0.8 0.9722 0.8777 144 0.9148 0.9415 0.9280 171 0.0 0.0 0.0 3 0.8574 0.9572 0.9046 421 0.4872 0.3878 0.4318 49 0.8302 0.9756 0.8970 491 0.0 0.0 0.0 11 0.8131 0.9085 0.8582 0.9813
0.0794 0.86 11500 0.0795 0.6933 1.0 0.8189 52 0.0 0.0 0.0 7 0.0 0.0 0.0 63 0.0 0.0 0.0 7 0.8860 0.8301 0.8571 206 0.8333 0.9302 0.8791 43 0.8455 0.9432 0.8917 1654 0.0 0.0 0.0 2 0.8662 0.9444 0.9037 144 0.8743 0.9766 0.9227 171 0.0 0.0 0.0 3 0.8317 0.9857 0.9022 421 0.4333 0.2653 0.3291 49 0.9074 0.9776 0.9412 491 0.0 0.0 0.0 11 0.8477 0.9128 0.8790 0.9825
0.0887 0.9 12000 0.1001 0.65 1.0 0.7879 52 0.0 0.0 0.0 7 0.6495 1.0 0.7875 63 0.0 0.0 0.0 7 0.905 0.8786 0.8916 206 0.5775 0.9535 0.7193 43 0.8669 0.9329 0.8987 1654 0.0 0.0 0.0 2 0.8 0.9444 0.8662 144 0.3626 0.3626 0.3626 171 0.0 0.0 0.0 3 0.8659 0.9050 0.8850 421 0.41 0.8367 0.5503 49 0.5385 0.7984 0.6432 491 0.0 0.0 0.0 11 0.7433 0.8700 0.8017 0.9762
0.0674 0.94 12500 0.0807 0.9615 0.9615 0.9615 52 0.0 0.0 0.0 7 0.875 1.0 0.9333 63 0.0 0.0 0.0 7 0.8053 0.8835 0.8426 206 0.7222 0.9070 0.8041 43 0.8712 0.8380 0.8542 1654 0.0 0.0 0.0 2 0.6106 0.9583 0.7459 144 0.9244 0.9298 0.9271 171 0.0 0.0 0.0 3 0.8599 0.9620 0.9081 421 0.4921 0.6327 0.5536 49 0.8689 0.9715 0.9173 491 0.0 0.0 0.0 11 0.8364 0.8815 0.8584 0.9825
0.0774 0.97 13000 0.0793 0.68 0.9808 0.8031 52 0.0 0.0 0.0 7 0.7294 0.9841 0.8378 63 0.0 0.0 0.0 7 0.8288 0.8932 0.8598 206 0.8511 0.9302 0.8889 43 0.8534 0.9432 0.8960 1654 0.0 0.0 0.0 2 0.8397 0.9097 0.8733 144 0.9589 0.8187 0.8833 171 0.0 0.0 0.0 3 0.8516 0.9406 0.8939 421 0.3793 0.2245 0.2821 49 0.8382 0.9919 0.9086 491 0.0 0.0 0.0 11 0.8401 0.9212 0.8787 0.9824
0.0772 1.01 13500 0.0824 0.0 0.0 0.0 52 0.4286 0.8571 0.5714 7 0.8108 0.9524 0.8759 63 0.0 0.0 0.0 7 0.8194 0.9029 0.8591 206 0.5143 0.8372 0.6372 43 0.8282 0.9268 0.8748 1654 0.0 0.0 0.0 2 0.7740 0.9514 0.8536 144 0.7273 0.9357 0.8184 171 0.0 0.0 0.0 3 0.8744 0.9430 0.9074 421 0.6452 0.8163 0.7207 49 0.8056 0.9878 0.8875 491 0.0303 0.1818 0.0519 11 0.7961 0.9152 0.8515 0.9807
0.057 1.05 14000 0.0790 0.5652 1.0 0.7222 52 0.8571 0.8571 0.8571 7 0.7595 0.9524 0.8451 63 0.0 0.0 0.0 7 0.9669 0.8495 0.9044 206 0.7091 0.9070 0.7959 43 0.8491 0.9220 0.8841 1654 0.0 0.0 0.0 2 0.8023 0.9583 0.8734 144 0.8342 0.9123 0.8715 171 0.0 0.0 0.0 3 0.8865 0.9644 0.9238 421 0.6981 0.7551 0.7255 49 0.8254 0.9919 0.9010 491 0.0 0.0 0.0 11 0.8352 0.9269 0.8787 0.9834
0.0581 1.09 14500 0.0691 0.9623 0.9808 0.9714 52 0.75 0.8571 0.8000 7 0.8514 1.0 0.9197 63 0.0 0.0 0.0 7 0.8810 0.8981 0.8894 206 0.6452 0.9302 0.7619 43 0.8354 0.9667 0.8963 1654 0.0 0.0 0.0 2 0.8121 0.9306 0.8673 144 0.9497 0.8830 0.9152 171 0.0 0.0 0.0 3 0.8827 0.9834 0.9303 421 0.8529 0.5918 0.6988 49 0.8897 0.9695 0.9279 491 0.0 0.0 0.0 11 0.8490 0.9471 0.8953 0.9855
0.0671 1.12 15000 0.0735 0.8361 0.9808 0.9027 52 0.0 0.0 0.0 7 0.8955 0.9524 0.9231 63 0.0 0.0 0.0 7 0.9402 0.8398 0.8872 206 0.3936 0.8605 0.5401 43 0.8939 0.9528 0.9224 1654 0.0 0.0 0.0 2 0.8718 0.9444 0.9067 144 0.9651 0.9708 0.9679 171 0.0 0.0 0.0 3 0.9193 0.9739 0.9458 421 0.4396 0.8163 0.5714 49 0.8913 0.9857 0.9362 491 0.1818 0.3636 0.2424 11 0.8675 0.9437 0.9040 0.9857
0.0507 1.16 15500 0.0760 0.9623 0.9808 0.9714 52 0.1333 0.2857 0.1818 7 0.8873 1.0 0.9403 63 0.0 0.0 0.0 7 0.9609 0.8350 0.8935 206 0.7843 0.9302 0.8511 43 0.8168 0.9758 0.8893 1654 0.0 0.0 0.0 2 0.8831 0.9444 0.9128 144 0.9425 0.9591 0.9507 171 0.0 0.0 0.0 3 0.9249 0.9074 0.9161 421 0.4353 0.7551 0.5522 49 0.8336 0.9695 0.8964 491 0.5 0.4545 0.4762 11 0.8374 0.9452 0.8881 0.9833
0.0714 1.2 16000 0.0814 0.9123 1.0 0.9541 52 0.0 0.0 0.0 7 0.8472 0.9683 0.9037 63 0.0 0.0 0.0 7 0.9095 0.9272 0.9183 206 0.75 0.9070 0.8211 43 0.8395 0.9583 0.8950 1654 0.0 0.0 0.0 2 0.8092 0.9722 0.8833 144 0.9588 0.9532 0.9560 171 0.0 0.0 0.0 3 0.7399 0.9596 0.8356 421 0.2273 0.3061 0.2609 49 0.8227 0.9450 0.8796 491 0.0 0.0 0.0 11 0.8190 0.9368 0.8740 0.9807
0.0551 1.24 16500 0.0691 0.9444 0.9808 0.9623 52 0.5 0.7143 0.5882 7 0.6774 1.0 0.8077 63 0.0 0.0 0.0 7 0.8378 0.9029 0.8692 206 0.7843 0.9302 0.8511 43 0.9046 0.8888 0.8966 1654 0.0 0.0 0.0 2 0.7071 0.9722 0.8187 144 0.9135 0.9883 0.9494 171 0.0 0.0 0.0 3 0.9176 0.9525 0.9347 421 0.7031 0.9184 0.7965 49 0.9069 0.9919 0.9475 491 0.0 0.0 0.0 11 0.8749 0.9197 0.8967 0.9857
0.0511 1.27 17000 0.0797 0.9091 0.9615 0.9346 52 0.4444 0.5714 0.5 7 0.8841 0.9683 0.9242 63 0.0 0.0 0.0 7 0.895 0.8689 0.8818 206 0.8 0.9302 0.8602 43 0.8672 0.9674 0.9145 1654 0.0 0.0 0.0 2 0.8662 0.9444 0.9037 144 0.9639 0.9357 0.9496 171 0.0 0.0 0.0 3 0.8051 0.9810 0.8844 421 0.4545 0.2041 0.2817 49 0.8909 0.9817 0.9341 491 0.1111 0.0909 0.1000 11 0.8625 0.9434 0.9011 0.9835
0.0632 1.31 17500 0.0623 0.8475 0.9615 0.9009 52 0.25 0.1429 0.1818 7 0.95 0.9048 0.9268 63 0.0 0.0 0.0 7 0.8846 0.8932 0.8889 206 0.7925 0.9767 0.875 43 0.9011 0.9420 0.9211 1654 0.0 0.0 0.0 2 0.8395 0.9444 0.8889 144 0.9766 0.9766 0.9766 171 0.0 0.0 0.0 3 0.8727 0.9929 0.9289 421 0.8837 0.7755 0.8261 49 0.8991 0.9796 0.9376 491 0.1667 0.0909 0.1176 11 0.8928 0.9425 0.9170 0.9865
0.0613 1.35 18000 0.0628 0.85 0.9808 0.9107 52 0.5 0.7143 0.5882 7 0.8611 0.9841 0.9185 63 0.0 0.0 0.0 7 0.8768 0.8981 0.8873 206 0.7925 0.9767 0.875 43 0.9046 0.8996 0.9021 1654 0.0 0.0 0.0 2 0.7680 0.9653 0.8554 144 0.8930 0.9766 0.9330 171 0.0 0.0 0.0 3 0.8779 0.9905 0.9308 421 0.5968 0.7551 0.6667 49 0.8768 0.9715 0.9217 491 0.4286 0.5455 0.4800 11 0.8734 0.9254 0.8986 0.9860
0.0634 1.39 18500 0.0723 0.9623 0.9808 0.9714 52 0.8571 0.8571 0.8571 7 0.8873 1.0 0.9403 63 0.0 0.0 0.0 7 0.9010 0.8398 0.8693 206 0.7885 0.9535 0.8632 43 0.8700 0.9184 0.8935 1654 0.0 0.0 0.0 2 0.8509 0.9514 0.8984 144 0.8469 0.9708 0.9046 171 0.0 0.0 0.0 3 0.8320 0.9762 0.8984 421 0.6842 0.5306 0.5977 49 0.8585 0.9511 0.9024 491 0.75 0.5455 0.6316 11 0.8608 0.9224 0.8905 0.9852
0.042 1.42 19000 0.0690 0.8254 1.0 0.9043 52 0.7778 1.0 0.8750 7 0.8571 0.8571 0.8571 63 0.0 0.0 0.0 7 0.9154 0.8932 0.9042 206 0.6667 0.9302 0.7767 43 0.8049 0.9504 0.8716 1654 0.0 0.0 0.0 2 0.8333 0.9722 0.8974 144 0.8947 0.9942 0.9418 171 0.0 0.0 0.0 3 0.9035 0.9786 0.9396 421 0.7222 0.7959 0.7573 49 0.7677 0.9959 0.8670 491 0.25 0.6364 0.3590 11 0.8145 0.9525 0.8781 0.9838
0.0781 1.46 19500 0.0654 0.7286 0.9808 0.8361 52 0.875 1.0 0.9333 7 0.8571 0.9524 0.9023 63 0.0 0.0 0.0 7 0.9246 0.8932 0.9086 206 0.6462 0.9767 0.7778 43 0.8667 0.9516 0.9072 1654 0.0 0.0 0.0 2 0.7790 0.9792 0.8677 144 0.96 0.9825 0.9711 171 0.0 0.0 0.0 3 0.9060 0.9620 0.9332 421 0.7333 0.6735 0.7021 49 0.8060 0.9898 0.8885 491 0.1389 0.4545 0.2128 11 0.8461 0.9495 0.8948 0.9825
0.0763 1.5 20000 0.0569 0.7612 0.9808 0.8571 52 0.0 0.0 0.0 7 0.8514 1.0 0.9197 63 0.0 0.0 0.0 7 0.7677 0.9466 0.8478 206 0.4516 0.9767 0.6176 43 0.8981 0.9220 0.9099 1654 0.0 0.0 0.0 2 0.7640 0.9444 0.8447 144 0.9824 0.9766 0.9795 171 0.0 0.0 0.0 3 0.8242 0.9691 0.8908 421 0.6909 0.7755 0.7308 49 0.8010 0.9919 0.8863 491 0.1818 0.5455 0.2727 11 0.8290 0.9380 0.8802 0.9862
0.0497 1.54 20500 0.0678 0.6579 0.9615 0.7812 52 0.4667 1.0 0.6364 7 0.8243 0.9683 0.8905 63 0.0 0.0 0.0 7 0.8995 0.8689 0.8840 206 0.82 0.9535 0.8817 43 0.8717 0.9244 0.8973 1654 0.0 0.0 0.0 2 0.8144 0.9444 0.8746 144 0.8543 0.9942 0.9189 171 0.0 0.0 0.0 3 0.8686 0.9264 0.8966 421 0.7458 0.8980 0.8148 49 0.8780 0.9817 0.9269 491 0.1481 0.7273 0.2462 11 0.8430 0.9317 0.8851 0.9849
0.0623 1.57 21000 0.0612 0.8793 0.9808 0.9273 52 0.7778 1.0 0.8750 7 0.9 1.0 0.9474 63 0.0 0.0 0.0 7 0.8866 0.8350 0.86 206 0.7959 0.9070 0.8478 43 0.8753 0.9674 0.9190 1654 0.0 0.0 0.0 2 0.8684 0.9167 0.8919 144 0.9709 0.9766 0.9738 171 0.0 0.0 0.0 3 0.9069 0.9715 0.9381 421 0.6786 0.7755 0.7238 49 0.8417 0.9959 0.9123 491 0.3333 0.5455 0.4138 11 0.8719 0.9546 0.9114 0.9860
0.0536 1.61 21500 0.0570 0.9273 0.9808 0.9533 52 0.3043 1.0 0.4667 7 0.8873 1.0 0.9403 63 0.0 0.0 0.0 7 0.8976 0.8932 0.8954 206 0.8542 0.9535 0.9011 43 0.8753 0.9589 0.9152 1654 0.0 0.0 0.0 2 0.8355 0.8819 0.8581 144 0.9286 0.9883 0.9575 171 0.0 0.0 0.0 3 0.9541 0.9881 0.9708 421 0.8846 0.9388 0.9109 49 0.8696 0.9919 0.9267 491 0.3889 0.6364 0.4828 11 0.8738 0.9579 0.9139 0.9876
0.0546 1.65 22000 0.0605 0.3446 0.9808 0.51 52 0.0 0.0 0.0 7 0.8475 0.7937 0.8197 63 0.0 0.0 0.0 7 0.9681 0.8835 0.9239 206 0.8478 0.9070 0.8764 43 0.8773 0.9377 0.9065 1654 0.0 0.0 0.0 2 0.7674 0.9167 0.8354 144 0.7907 0.9942 0.8808 171 0.0 0.0 0.0 3 0.9241 0.9834 0.9528 421 0.9778 0.8980 0.9362 49 0.8938 0.9939 0.9412 491 0.0 0.0 0.0 11 0.8497 0.9389 0.8921 0.9870
0.0542 1.69 22500 0.0695 0.9444 0.9808 0.9623 52 0.4444 0.5714 0.5 7 0.9242 0.9683 0.9457 63 0.0 0.0 0.0 7 0.9503 0.8350 0.8889 206 0.78 0.9070 0.8387 43 0.8925 0.9486 0.9197 1654 0.0 0.0 0.0 2 0.8758 0.9306 0.9024 144 0.9492 0.9825 0.9655 171 0.0 0.0 0.0 3 0.9466 0.9264 0.9364 421 0.6522 0.9184 0.7627 49 0.8922 0.9776 0.9329 491 0.75 0.5455 0.6316 11 0.8940 0.9383 0.9156 0.9864
0.0482 1.72 23000 0.0567 0.9434 0.9615 0.9524 52 0.0 0.0 0.0 7 0.9118 0.9841 0.9466 63 0.0 0.0 0.0 7 0.9024 0.8981 0.9002 206 0.8667 0.9070 0.8864 43 0.9110 0.9341 0.9224 1654 0.0 0.0 0.0 2 0.9067 0.9444 0.9252 144 0.8824 0.9649 0.9218 171 0.0 0.0 0.0 3 0.9477 0.9905 0.9686 421 0.8148 0.8980 0.8544 49 0.9056 0.9959 0.9486 491 0.3846 0.4545 0.4167 11 0.9053 0.9437 0.9241 0.9884
0.034 1.76 23500 0.0528 0.8644 0.9808 0.9189 52 0.0 0.0 0.0 7 0.8451 0.9524 0.8955 63 0.0 0.0 0.0 7 0.8496 0.9320 0.8889 206 0.8077 0.9767 0.8842 43 0.8847 0.9510 0.9167 1654 0.0 0.0 0.0 2 0.8466 0.9583 0.8990 144 0.9548 0.9883 0.9713 171 0.0 0.0 0.0 3 0.9193 0.9739 0.9458 421 0.7931 0.9388 0.8598 49 0.9056 0.9959 0.9486 491 0.2143 0.5455 0.3077 11 0.8759 0.9555 0.9140 0.9881
0.0586 1.8 24000 0.0569 0.8793 0.9808 0.9273 52 0.0 0.0 0.0 7 0.8657 0.9206 0.8923 63 0.1429 0.1429 0.1429 7 0.8934 0.8544 0.8734 206 0.8864 0.9070 0.8966 43 0.8929 0.9625 0.9264 1654 0.0 0.0 0.0 2 0.9315 0.9444 0.9379 144 0.9293 1.0 0.9634 171 0.0 0.0 0.0 3 0.8903 0.9834 0.9345 421 0.7391 0.6939 0.7158 49 0.9165 0.9837 0.9489 491 0.4286 0.2727 0.3333 11 0.8936 0.9501 0.9210 0.9873
0.0415 1.84 24500 0.0479 0.8929 0.9615 0.9259 52 0.6667 0.8571 0.75 7 0.8986 0.9841 0.9394 63 0.1818 0.2857 0.2222 7 0.9585 0.8981 0.9273 206 0.7018 0.9302 0.8 43 0.9260 0.9607 0.9430 1654 0.0 0.0 0.0 2 0.8434 0.9722 0.9032 144 0.9716 1.0 0.9856 171 0.0 0.0 0.0 3 0.9295 0.9715 0.9501 421 0.88 0.8980 0.8889 49 0.8956 0.9959 0.9431 491 0.75 0.2727 0.4000 11 0.9117 0.9597 0.9351 0.9891
0.0243 1.87 25000 0.0529 0.9273 0.9808 0.9533 52 0.4286 0.8571 0.5714 7 0.9118 0.9841 0.9466 63 0.0 0.0 0.0 7 0.8472 0.9417 0.8920 206 0.7692 0.9302 0.8421 43 0.9218 0.9547 0.9379 1654 0.0 0.0 0.0 2 0.8323 0.8958 0.8629 144 0.9824 0.9766 0.9795 171 0.0 0.0 0.0 3 0.9519 0.9881 0.9697 421 0.9773 0.8776 0.9247 49 0.8956 0.9959 0.9431 491 0.4 0.7273 0.5161 11 0.9053 0.9579 0.9309 0.9886
0.0334 1.91 25500 0.0531 0.9273 0.9808 0.9533 52 0.5556 0.7143 0.6250 7 0.8333 0.9524 0.8889 63 0.2857 0.2857 0.2857 7 0.9038 0.9126 0.9082 206 0.6897 0.9302 0.7921 43 0.9032 0.9649 0.9331 1654 0.0 0.0 0.0 2 0.8333 0.9722 0.8974 144 0.9497 0.9942 0.9714 171 0.0 0.0 0.0 3 0.9107 0.9929 0.95 421 0.8627 0.8980 0.8800 49 0.8730 0.9939 0.9295 491 0.3913 0.8182 0.5294 11 0.8868 0.9660 0.9247 0.9886
0.0586 1.95 26000 0.0423 0.9444 0.9808 0.9623 52 0.5385 1.0 0.7000 7 0.9254 0.9841 0.9538 63 1.0 0.8571 0.9231 7 0.9490 0.9029 0.9254 206 0.9048 0.8837 0.8941 43 0.9160 0.9432 0.9294 1654 0.0 0.0 0.0 2 0.8868 0.9792 0.9307 144 0.8895 0.9883 0.9363 171 0.0 0.0 0.0 3 0.9123 0.9881 0.9487 421 0.9556 0.8776 0.9149 49 0.9139 0.9939 0.9522 491 0.3333 0.1818 0.2353 11 0.9112 0.9534 0.9318 0.9892
0.039 1.99 26500 0.0696 0.9273 0.9808 0.9533 52 0.0769 1.0 0.1429 7 0.8873 1.0 0.9403 63 0.4286 0.4286 0.4286 7 0.9417 0.9417 0.9417 206 0.7925 0.9767 0.875 43 0.9012 0.9655 0.9323 1654 0.0 0.0 0.0 2 0.8253 0.9514 0.8839 144 0.9086 0.9883 0.9468 171 0.0 0.0 0.0 3 0.9628 0.9834 0.9730 421 0.3333 0.0816 0.1311 49 0.9156 0.9939 0.9531 491 0.5 0.6364 0.56 11 0.8820 0.9555 0.9173 0.9853
0.0333 2.02 27000 0.0500 0.9623 0.9808 0.9714 52 0.5 1.0 0.6667 7 0.9118 0.9841 0.9466 63 1.0 1.0 1.0 7 0.9356 0.9175 0.9265 206 0.8723 0.9535 0.9111 43 0.9133 0.9686 0.9401 1654 0.0 0.0 0.0 2 0.8466 0.9583 0.8990 144 0.9657 0.9883 0.9769 171 0.0 0.0 0.0 3 0.9310 0.9929 0.9609 421 0.8571 0.8571 0.8571 49 0.8907 0.9959 0.9404 491 0.3333 0.6364 0.4375 11 0.9051 0.9693 0.9361 0.9895
0.0318 2.06 27500 0.0555 0.9444 0.9808 0.9623 52 0.875 1.0 0.9333 7 0.8857 0.9841 0.9323 63 0.2 0.2857 0.2353 7 0.8584 0.9709 0.9112 206 0.7925 0.9767 0.875 43 0.9261 0.9541 0.9398 1654 0.0 0.0 0.0 2 0.8344 0.9444 0.8860 144 0.9709 0.9766 0.9738 171 0.6 1.0 0.7500 3 0.9392 0.9905 0.9642 421 0.8936 0.8571 0.875 49 0.9173 0.9939 0.9541 491 0.3182 0.6364 0.4242 11 0.9104 0.9633 0.9361 0.9891
0.0291 2.1 28000 0.0511 0.9273 0.9808 0.9533 52 0.7 1.0 0.8235 7 0.875 1.0 0.9333 63 0.375 0.4286 0.4000 7 0.9314 0.9223 0.9268 206 0.8542 0.9535 0.9011 43 0.9342 0.9619 0.9479 1654 0.0 0.0 0.0 2 0.8408 0.9167 0.8771 144 0.9883 0.9883 0.9883 171 0.5 1.0 0.6667 3 0.9327 0.9881 0.9596 421 0.9773 0.8776 0.9247 49 0.9297 0.9959 0.9617 491 0.5 0.7273 0.5926 11 0.9250 0.9645 0.9443 0.9893
0.0359 2.14 28500 0.0447 0.9623 0.9808 0.9714 52 0.875 1.0 0.9333 7 0.8732 0.9841 0.9254 63 0.7 1.0 0.8235 7 0.9183 0.9272 0.9227 206 0.8542 0.9535 0.9011 43 0.9283 0.9468 0.9374 1654 0.0 0.0 0.0 2 0.9267 0.9653 0.9456 144 0.8942 0.9883 0.9389 171 0.5 1.0 0.6667 3 0.9584 0.9857 0.9719 421 0.9783 0.9184 0.9474 49 0.9234 0.9817 0.9516 491 0.7 0.6364 0.6667 11 0.9256 0.9582 0.9416 0.9899
0.0349 2.17 29000 0.0462 0.9444 0.9808 0.9623 52 0.875 1.0 0.9333 7 0.8873 1.0 0.9403 63 1.0 1.0 1.0 7 0.9074 0.9515 0.9289 206 0.7885 0.9535 0.8632 43 0.9306 0.9565 0.9434 1654 0.0 0.0 0.0 2 0.8765 0.9861 0.9281 144 0.8543 0.9942 0.9189 171 0.6 1.0 0.7500 3 0.9563 0.9881 0.9720 421 0.9556 0.8776 0.9149 49 0.9244 0.9959 0.9588 491 0.6667 0.5455 0.6 11 0.9210 0.9675 0.9437 0.9895
0.0337 2.21 29500 0.0498 0.9444 0.9808 0.9623 52 0.2188 1.0 0.3590 7 0.8289 1.0 0.9065 63 0.875 1.0 0.9333 7 0.9087 0.9660 0.9365 206 0.84 0.9767 0.9032 43 0.9319 0.9601 0.9458 1654 0.0 0.0 0.0 2 0.8537 0.9722 0.9091 144 0.9884 1.0 0.9942 171 0.6 1.0 0.7500 3 0.9584 0.9857 0.9719 421 0.9333 0.8571 0.8936 49 0.8891 0.9959 0.9395 491 0.4375 0.6364 0.5185 11 0.9136 0.9699 0.9409 0.9893
0.0379 2.25 30000 0.0438 0.8793 0.9808 0.9273 52 0.28 1.0 0.4375 7 0.8873 1.0 0.9403 63 0.7143 0.7143 0.7143 7 0.9070 0.9466 0.9264 206 0.7925 0.9767 0.875 43 0.9229 0.9698 0.9458 1654 0.0 0.0 0.0 2 0.8333 0.9722 0.8974 144 0.9591 0.9591 0.9591 171 0.6 1.0 0.7500 3 0.9516 0.9810 0.9661 421 0.8182 0.9184 0.8654 49 0.9368 0.9959 0.9654 491 1.0 0.5455 0.7059 11 0.9147 0.9708 0.9419 0.9893
0.0338 2.29 30500 0.0476 0.9107 0.9808 0.9444 52 0.2 1.0 0.3333 7 0.9118 0.9841 0.9466 63 0.8333 0.7143 0.7692 7 0.9234 0.9369 0.9301 206 0.84 0.9767 0.9032 43 0.9305 0.9547 0.9424 1654 0.0 0.0 0.0 2 0.8606 0.9861 0.9191 144 0.9605 0.9942 0.9770 171 0.6667 0.6667 0.6667 3 0.9630 0.9905 0.9766 421 1.0 0.9184 0.9574 49 0.9037 0.9939 0.9467 491 1.0 0.3636 0.5333 11 0.9194 0.9648 0.9416 0.9898
0.0282 2.32 31000 0.0419 0.9107 0.9808 0.9444 52 0.5385 1.0 0.7000 7 0.9 1.0 0.9474 63 0.75 0.8571 0.8000 7 0.9594 0.9175 0.9380 206 0.8511 0.9302 0.8889 43 0.9313 0.9752 0.9527 1654 0.0 0.0 0.0 2 0.9379 0.9444 0.9412 144 0.9444 0.9942 0.9687 171 0.6667 0.6667 0.6667 3 0.9541 0.9881 0.9708 421 1.0 0.8980 0.9462 49 0.9297 0.9959 0.9617 491 0.875 0.6364 0.7368 11 0.9330 0.9726 0.9524 0.9903
0.0427 2.36 31500 0.0465 0.9107 0.9808 0.9444 52 0.6667 0.2857 0.4 7 0.8378 0.9841 0.9051 63 1.0 1.0 1.0 7 0.9238 0.9417 0.9327 206 0.7925 0.9767 0.875 43 0.9469 0.9480 0.9474 1654 0.0 0.0 0.0 2 0.8903 0.9583 0.9231 144 0.9341 0.9942 0.9632 171 0.6 1.0 0.7500 3 0.9459 0.9976 0.9711 421 1.0 0.8776 0.9348 49 0.9278 0.9939 0.9597 491 0.375 0.8182 0.5143 11 0.9299 0.9618 0.9456 0.9898
0.0401 2.4 32000 0.0415 0.9107 0.9808 0.9444 52 0.4667 1.0 0.6364 7 0.9403 1.0 0.9692 63 0.7 1.0 0.8235 7 0.9372 0.9417 0.9395 206 0.875 0.9767 0.9231 43 0.9423 0.9583 0.9502 1654 0.0 0.0 0.0 2 0.8734 0.9583 0.9139 144 0.9607 1.0 0.9799 171 0.2 0.3333 0.25 3 0.9567 0.9976 0.9767 421 1.0 0.9184 0.9574 49 0.9332 0.9959 0.9635 491 0.9 0.8182 0.8571 11 0.9355 0.9693 0.9521 0.9913
0.0269 2.44 32500 0.0376 0.9444 0.9808 0.9623 52 0.7778 1.0 0.8750 7 0.9130 1.0 0.9545 63 1.0 1.0 1.0 7 0.9223 0.9223 0.9223 206 0.8571 0.9767 0.9130 43 0.9313 0.9589 0.9449 1654 0.0 0.0 0.0 2 0.8742 0.9653 0.9175 144 0.9825 0.9825 0.9825 171 0.6 1.0 0.7500 3 0.9436 0.9929 0.9676 421 0.7931 0.9388 0.8598 49 0.9279 0.9959 0.9607 491 0.7 0.6364 0.6667 11 0.9268 0.9675 0.9467 0.9901
0.0293 2.47 33000 0.0383 0.9444 0.9808 0.9623 52 0.75 0.8571 0.8000 7 0.9545 1.0 0.9767 63 1.0 1.0 1.0 7 0.9366 0.9320 0.9343 206 0.84 0.9767 0.9032 43 0.9328 0.9649 0.9486 1654 0.0 0.0 0.0 2 0.8758 0.9792 0.9246 144 0.9133 0.9240 0.9186 171 0.6 1.0 0.7500 3 0.9588 0.9952 0.9767 421 0.9792 0.9592 0.9691 49 0.9350 0.9959 0.9645 491 0.875 0.6364 0.7368 11 0.9320 0.9690 0.9501 0.9918
0.022 2.51 33500 0.0400 0.9444 0.9808 0.9623 52 0.7778 1.0 0.8750 7 0.9 1.0 0.9474 63 1.0 1.0 1.0 7 0.9282 0.9417 0.9349 206 0.75 0.9767 0.8485 43 0.9361 0.9480 0.9420 1654 0.0 0.0 0.0 2 0.8797 0.9653 0.9205 144 0.9767 0.9825 0.9796 171 0.6 1.0 0.7500 3 0.9524 0.9976 0.9745 421 1.0 0.9184 0.9574 49 0.9226 0.9959 0.9579 491 0.3214 0.8182 0.4615 11 0.9266 0.9642 0.9450 0.9905
0.0221 2.55 34000 0.0377 0.9444 0.9808 0.9623 52 0.4667 1.0 0.6364 7 0.8873 1.0 0.9403 63 1.0 1.0 1.0 7 0.9128 0.9660 0.9387 206 0.84 0.9767 0.9032 43 0.9318 0.9661 0.9486 1654 0.0 0.0 0.0 2 0.8868 0.9792 0.9307 144 0.9607 1.0 0.9799 171 0.75 1.0 0.8571 3 0.9677 0.9976 0.9825 421 0.9778 0.8980 0.9362 49 0.9386 0.9959 0.9664 491 0.3214 0.8182 0.4615 11 0.9255 0.9759 0.9501 0.9917
0.0195 2.59 34500 0.0366 0.9444 0.9808 0.9623 52 0.5833 1.0 0.7368 7 0.9130 1.0 0.9545 63 1.0 1.0 1.0 7 0.9461 0.9369 0.9415 206 0.84 0.9767 0.9032 43 0.9425 0.9704 0.9562 1654 0.0 0.0 0.0 2 0.9091 0.9722 0.9396 144 0.9827 0.9942 0.9884 171 0.6 1.0 0.7500 3 0.9654 0.9952 0.9801 421 0.9167 0.8980 0.9072 49 0.9314 0.9959 0.9626 491 0.45 0.8182 0.5806 11 0.9375 0.9753 0.9561 0.9920
0.0181 2.62 35000 0.0359 0.9444 0.9808 0.9623 52 0.7778 1.0 0.8750 7 0.9403 1.0 0.9692 63 0.875 1.0 0.9333 7 0.9272 0.9272 0.9272 206 0.84 0.9767 0.9032 43 0.9426 0.9728 0.9575 1654 0.0 0.0 0.0 2 0.9038 0.9792 0.9400 144 0.9826 0.9883 0.9854 171 0.6 1.0 0.7500 3 0.9607 0.9881 0.9742 421 1.0 0.9184 0.9574 49 0.9297 0.9959 0.9617 491 0.5625 0.8182 0.6667 11 0.9386 0.9753 0.9566 0.9917
0.0313 2.66 35500 0.0351 0.9623 0.9808 0.9714 52 0.7778 1.0 0.8750 7 0.9130 1.0 0.9545 63 1.0 1.0 1.0 7 0.9187 0.9320 0.9253 206 0.8936 0.9767 0.9333 43 0.9420 0.9722 0.9569 1654 0.0 0.0 0.0 2 0.9051 0.9931 0.9470 144 0.9884 1.0 0.9942 171 0.6 1.0 0.7500 3 0.9744 0.9952 0.9847 421 1.0 0.9184 0.9574 49 0.9279 0.9959 0.9607 491 0.4706 0.7273 0.5714 11 0.9398 0.9771 0.9581 0.9911
0.0184 2.7 36000 0.0350 0.9444 0.9808 0.9623 52 0.7 1.0 0.8235 7 0.9254 0.9841 0.9538 63 1.0 1.0 1.0 7 0.9378 0.9515 0.9446 206 0.8936 0.9767 0.9333 43 0.9477 0.9637 0.9556 1654 0.0 0.0 0.0 2 0.9396 0.9722 0.9556 144 0.9884 1.0 0.9942 171 0.6 1.0 0.7500 3 0.9789 0.9929 0.9858 421 0.9787 0.9388 0.9583 49 0.9314 0.9959 0.9626 491 0.7 0.6364 0.6667 11 0.9475 0.9726 0.9599 0.9925
0.0308 2.74 36500 0.0358 0.9444 0.9808 0.9623 52 0.7 1.0 0.8235 7 0.9265 1.0 0.9618 63 1.0 1.0 1.0 7 0.9213 0.9660 0.9431 206 0.8936 0.9767 0.9333 43 0.9378 0.9746 0.9558 1654 0.0 0.0 0.0 2 0.9333 0.9722 0.9524 144 1.0 1.0 1.0 171 0.6 1.0 0.7500 3 0.9676 0.9929 0.9801 421 1.0 0.9388 0.9684 49 0.9313 0.9939 0.9616 491 0.875 0.6364 0.7368 11 0.9413 0.9789 0.9597 0.9912
0.0144 2.77 37000 0.0382 0.9444 0.9808 0.9623 52 0.6364 1.0 0.7778 7 0.9254 0.9841 0.9538 63 1.0 1.0 1.0 7 0.9302 0.9709 0.9501 206 0.875 0.9767 0.9231 43 0.9505 0.9752 0.9627 1654 0.0 0.0 0.0 2 0.9333 0.9722 0.9524 144 0.9942 1.0 0.9971 171 0.6 1.0 0.7500 3 0.9677 0.9952 0.9813 421 1.0 0.8980 0.9462 49 0.9297 0.9959 0.9617 491 0.7 0.6364 0.6667 11 0.9465 0.9792 0.9626 0.9912
0.0414 2.81 37500 0.0377 0.9444 0.9808 0.9623 52 0.6364 1.0 0.7778 7 0.9254 0.9841 0.9538 63 1.0 1.0 1.0 7 0.9132 0.9709 0.9412 206 0.9130 0.9767 0.9438 43 0.9423 0.9680 0.9550 1654 0.0 0.0 0.0 2 0.8924 0.9792 0.9338 144 0.9553 1.0 0.9771 171 0.6 1.0 0.7500 3 0.9744 0.9929 0.9835 421 1.0 0.8980 0.9462 49 0.9386 0.9959 0.9664 491 1.0 0.6364 0.7778 11 0.9411 0.9756 0.9581 0.9912
0.0372 2.85 38000 0.0351 0.9444 0.9808 0.9623 52 0.7778 1.0 0.8750 7 0.8986 0.9841 0.9394 63 1.0 1.0 1.0 7 0.9340 0.9612 0.9474 206 0.9130 0.9767 0.9438 43 0.9504 0.9728 0.9615 1654 0.0 0.0 0.0 2 0.9276 0.9792 0.9527 144 0.9942 1.0 0.9971 171 0.6 1.0 0.7500 3 0.9721 0.9929 0.9824 421 1.0 0.9184 0.9574 49 0.9404 0.9959 0.9674 491 1.0 0.6364 0.7778 11 0.9500 0.9777 0.9637 0.9914
0.0287 2.89 38500 0.0356 0.9444 0.9808 0.9623 52 0.7778 1.0 0.8750 7 0.9254 0.9841 0.9538 63 1.0 1.0 1.0 7 0.9381 0.9563 0.9471 206 0.8571 0.9767 0.9130 43 0.9408 0.9704 0.9554 1654 0.0 0.0 0.0 2 0.8589 0.9722 0.9121 144 0.9771 1.0 0.9884 171 0.6 1.0 0.7500 3 0.9632 0.9952 0.9790 421 1.0 0.9184 0.9574 49 0.9404 0.9959 0.9674 491 1.0 0.6364 0.7778 11 0.9400 0.9762 0.9578 0.9913
0.0341 2.92 39000 0.0342 0.9444 0.9808 0.9623 52 0.7778 1.0 0.8750 7 0.9118 0.9841 0.9466 63 1.0 1.0 1.0 7 0.9429 0.9612 0.9519 206 0.875 0.9767 0.9231 43 0.9552 0.9667 0.9609 1654 0.0 0.0 0.0 2 0.8861 0.9722 0.9272 144 0.9828 1.0 0.9913 171 0.6 1.0 0.7500 3 0.9767 0.9952 0.9859 421 0.9778 0.8980 0.9362 49 0.9440 0.9959 0.9693 491 1.0 0.6364 0.7778 11 0.9510 0.9744 0.9626 0.9917
0.0232 2.96 39500 0.0349 0.9444 0.9808 0.9623 52 0.6667 0.8571 0.75 7 0.8986 0.9841 0.9394 63 1.0 1.0 1.0 7 0.9476 0.9660 0.9567 206 0.8571 0.9767 0.9130 43 0.9537 0.9710 0.9623 1654 0.0 0.0 0.0 2 0.9272 0.9722 0.9492 144 0.9884 1.0 0.9942 171 0.6 1.0 0.7500 3 0.9721 0.9929 0.9824 421 1.0 0.8980 0.9462 49 0.9440 0.9959 0.9693 491 1.0 0.6364 0.7778 11 0.9516 0.9762 0.9638 0.9915
0.0173 3.0 40000 0.0349 0.9444 0.9808 0.9623 52 0.7778 1.0 0.8750 7 0.9254 0.9841 0.9538 63 1.0 1.0 1.0 7 0.9431 0.9660 0.9544 206 0.8936 0.9767 0.9333 43 0.9481 0.9728 0.9603 1654 0.0 0.0 0.0 2 0.9524 0.9722 0.9622 144 0.9884 1.0 0.9942 171 0.6 1.0 0.7500 3 0.9721 0.9929 0.9824 421 1.0 0.8980 0.9462 49 0.9440 0.9959 0.9693 491 1.0 0.6364 0.7778 11 0.9511 0.9774 0.9641 0.9915

Framework versions

  • Transformers 4.24.0
  • Pytorch 1.12.1+cu113
  • Datasets 2.6.1
  • Tokenizers 0.13.2
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Dataset used to train cynthiachan/finetune-roberta

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