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cynthiachan
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finetune-deberta

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

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

  • Loss: 0.0301
  • Attackid Precision: 1.0
  • Attackid Recall: 1.0
  • Attackid F1: 1.0
  • Attackid Number: 52
  • Bitcoinaddr Precision: 0.6364
  • Bitcoinaddr Recall: 1.0
  • Bitcoinaddr F1: 0.7778
  • Bitcoinaddr Number: 7
  • Cve Precision: 0.9545
  • Cve Recall: 1.0
  • Cve F1: 0.9767
  • Cve Number: 63
  • Defenderthreat Precision: 1.0
  • Defenderthreat Recall: 1.0
  • Defenderthreat F1: 1.0
  • Defenderthreat Number: 7
  • Domain Precision: 0.9760
  • Domain Recall: 0.9854
  • Domain F1: 0.9807
  • Domain Number: 206
  • Email Precision: 0.9545
  • Email Recall: 0.9767
  • Email F1: 0.9655
  • Email Number: 43
  • Filepath Precision: 0.9717
  • Filepath Recall: 0.9752
  • Filepath F1: 0.9734
  • Filepath Number: 1654
  • Fingerprint Precision: 0.0
  • Fingerprint Recall: 0.0
  • Fingerprint F1: 0.0
  • Fingerprint Number: 2
  • Hostname Precision: 0.9333
  • Hostname Recall: 0.9722
  • Hostname F1: 0.9524
  • Hostname Number: 144
  • Ipv4 Precision: 1.0
  • Ipv4 Recall: 1.0
  • Ipv4 F1: 1.0
  • Ipv4 Number: 171
  • Ipv6 Precision: 0.6
  • Ipv6 Recall: 1.0
  • Ipv6 F1: 0.7500
  • Ipv6 Number: 3
  • Md5 Precision: 0.9745
  • Md5 Recall: 0.9976
  • Md5 F1: 0.9859
  • Md5 Number: 421
  • Sha1 Precision: 0.98
  • Sha1 Recall: 1.0
  • Sha1 F1: 0.9899
  • Sha1 Number: 49
  • Sha256 Precision: 0.9514
  • Sha256 Recall: 0.9959
  • Sha256 F1: 0.9731
  • Sha256 Number: 491
  • Uri Precision: 0.9
  • Uri Recall: 0.8182
  • Uri F1: 0.8571
  • Uri Number: 11
  • Overall Precision: 0.9672
  • Overall Recall: 0.9832
  • Overall F1: 0.9751
  • Overall Accuracy: 0.9939

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
0.3927 0.04 500 0.2764 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 0.4935 0.7763 0.6034 1654 0.0 0.0 0.0 2 0.2821 0.8542 0.4241 144 0.5561 0.7251 0.6294 171 0.0 0.0 0.0 3 0.0 0.0 0.0 421 0.0 0.0 0.0 49 0.0 0.0 0.0 491 0.0 0.0 0.0 11 0.2662 0.4606 0.3374 0.8953
0.2164 0.07 1000 0.1558 0.6389 0.4423 0.5227 52 0.0 0.0 0.0 7 0.7848 0.9841 0.8732 63 0.0 0.0 0.0 7 0.3731 0.2427 0.2941 206 0.0 0.0 0.0 43 0.6284 0.7370 0.6784 1654 0.0 0.0 0.0 2 0.4532 0.8403 0.5888 144 0.3495 0.4211 0.3820 171 0.0 0.0 0.0 3 0.6298 0.9050 0.7427 421 0.0 0.0 0.0 49 0.6808 0.9817 0.8040 491 0.0 0.0 0.0 11 0.6063 0.7250 0.6604 0.9571
0.1395 0.11 1500 0.1491 0.25 0.8077 0.3818 52 0.0 0.0 0.0 7 0.7108 0.9365 0.8082 63 0.0 0.0 0.0 7 0.6694 0.7961 0.7273 206 0.0926 0.1163 0.1031 43 0.7232 0.8120 0.7650 1654 0.0 0.0 0.0 2 0.6613 0.8542 0.7455 144 0.6848 0.7368 0.7099 171 0.0 0.0 0.0 3 0.7325 0.8195 0.7735 421 0.0 0.0 0.0 49 0.7696 0.9389 0.8459 491 0.0 0.0 0.0 11 0.6935 0.8026 0.7441 0.9654
0.1084 0.15 2000 0.1585 0.4587 0.9615 0.6211 52 0.0 0.0 0.0 7 0.7875 1.0 0.8811 63 0.0 0.0 0.0 7 0.7692 0.7767 0.7729 206 0.5957 0.6512 0.6222 43 0.6305 0.8646 0.7292 1654 0.0 0.0 0.0 2 0.6385 0.9444 0.7619 144 0.6283 0.9883 0.7682 171 0.0 0.0 0.0 3 0.7246 0.9810 0.8335 421 0.0 0.0 0.0 49 0.7954 0.9817 0.8788 491 0.0 0.0 0.0 11 0.6707 0.8818 0.7619 0.9602
0.1294 0.19 2500 0.1286 0.6842 1.0 0.8125 52 0.0 0.0 0.0 7 0.7159 1.0 0.8344 63 0.0 0.0 0.0 7 0.8432 0.7573 0.7980 206 0.6863 0.8140 0.7447 43 0.7899 0.9299 0.8542 1654 0.0 0.0 0.0 2 0.6891 0.9236 0.7893 144 0.7685 0.9123 0.8342 171 0.0 0.0 0.0 3 0.7247 0.9691 0.8293 421 0.0 0.0 0.0 49 0.7562 0.9919 0.8581 491 0.0 0.0 0.0 11 0.7664 0.9110 0.8324 0.9693
0.1028 0.22 3000 0.1354 0.4727 1.0 0.6420 52 0.0 0.0 0.0 7 0.8158 0.9841 0.8921 63 0.0 0.0 0.0 7 0.8038 0.8155 0.8096 206 0.5781 0.8605 0.6916 43 0.6508 0.9486 0.7720 1654 0.0 0.0 0.0 2 0.7904 0.9167 0.8489 144 0.9022 0.9708 0.9352 171 0.0 0.0 0.0 3 0.7742 0.9691 0.8608 421 0.0 0.0 0.0 49 0.8298 0.9633 0.8916 491 0.0 0.0 0.0 11 0.7090 0.9227 0.8018 0.9678
0.1071 0.26 3500 0.1337 0.4952 1.0 0.6624 52 0.0 0.0 0.0 7 0.8077 1.0 0.8936 63 0.0 0.0 0.0 7 0.9185 0.8204 0.8667 206 0.8372 0.8372 0.8372 43 0.8330 0.8809 0.8563 1654 0.0 0.0 0.0 2 0.8036 0.9375 0.8654 144 0.8367 0.9591 0.8937 171 0.0 0.0 0.0 3 0.8156 0.9454 0.8757 421 0.0 0.0 0.0 49 0.6567 0.9817 0.7869 491 0.0833 0.1818 0.1143 11 0.7792 0.8899 0.8309 0.9665
0.1028 0.3 4000 0.0865 0.7879 1.0 0.8814 52 0.0 0.0 0.0 7 0.8182 1.0 0.9 63 0.0 0.0 0.0 7 0.8995 0.8252 0.8608 206 0.8571 0.9767 0.9130 43 0.8417 0.8875 0.8640 1654 0.0 0.0 0.0 2 0.8726 0.9514 0.9103 144 0.8817 0.9591 0.9188 171 0.0 0.0 0.0 3 0.8071 0.9739 0.8827 421 0.0 0.0 0.0 49 0.8219 0.9776 0.8930 491 0.0 0.0 0.0 11 0.8285 0.8983 0.8620 0.9801
0.104 0.34 4500 0.0881 0.8103 0.9038 0.8545 52 0.0 0.0 0.0 7 0.7848 0.9841 0.8732 63 0.0 0.0 0.0 7 0.8131 0.8447 0.8286 206 0.7358 0.9070 0.8125 43 0.8094 0.9293 0.8652 1654 0.0 0.0 0.0 2 0.8217 0.8958 0.8571 144 0.8742 0.7719 0.8199 171 0.0 0.0 0.0 3 0.8402 0.9739 0.9021 421 0.0 0.0 0.0 49 0.9021 0.9756 0.9374 491 0.0 0.0 0.0 11 0.8248 0.9052 0.8632 0.9793
0.0888 0.37 5000 0.0983 0.65 1.0 0.7879 52 0.0 0.0 0.0 7 0.8158 0.9841 0.8921 63 0.0 0.0 0.0 7 0.7906 0.8981 0.8409 206 0.8043 0.8605 0.8315 43 0.8327 0.8996 0.8649 1654 0.0 0.0 0.0 2 0.7919 0.9514 0.8644 144 0.8259 0.9708 0.8925 171 0.0 0.0 0.0 3 0.8557 0.9857 0.9161 421 0.0526 0.0204 0.0294 49 0.8867 0.9878 0.9345 491 0.0 0.0 0.0 11 0.8300 0.9110 0.8686 0.9764
0.0776 0.41 5500 0.0983 0.8125 1.0 0.8966 52 0.0 0.0 0.0 7 0.4737 1.0 0.6429 63 0.0 0.0 0.0 7 0.7671 0.9272 0.8396 206 0.6667 0.9767 0.7925 43 0.7736 0.8241 0.7980 1654 0.0 0.0 0.0 2 0.6429 0.9375 0.7627 144 0.8783 0.9708 0.9222 171 0.0 0.0 0.0 3 0.8646 0.9857 0.9212 421 0.0345 0.0204 0.0256 49 0.8734 0.9980 0.9316 491 0.0 0.0 0.0 11 0.7724 0.8779 0.8217 0.9802
0.083 0.45 6000 0.0936 0.9259 0.9615 0.9434 52 0.0 0.0 0.0 7 0.8182 1.0 0.9 63 0.0 0.0 0.0 7 0.8976 0.8932 0.8954 206 0.8298 0.9070 0.8667 43 0.8228 0.8537 0.8380 1654 0.0 0.0 0.0 2 0.8553 0.9444 0.8977 144 0.9290 0.9181 0.9235 171 0.0 0.0 0.0 3 0.8402 0.9240 0.8801 421 0.0822 0.1224 0.0984 49 0.7932 0.9919 0.8814 491 0.0 0.0 0.0 11 0.8172 0.8794 0.8471 0.9801
0.0806 0.49 6500 0.0942 0.8197 0.9615 0.8850 52 0.0 0.0 0.0 7 0.7209 0.9841 0.8322 63 0.0 0.0 0.0 7 0.8469 0.8592 0.8530 206 0.6552 0.8837 0.7525 43 0.8101 0.8845 0.8457 1654 0.0 0.0 0.0 2 0.7740 0.9514 0.8536 144 0.6936 0.9532 0.8030 171 0.0 0.0 0.0 3 0.7654 0.9762 0.8580 421 0.0 0.0 0.0 49 0.7887 0.9959 0.8803 491 0.0 0.0 0.0 11 0.7891 0.8995 0.8407 0.9800
0.0918 0.52 7000 0.0703 0.9107 0.9808 0.9444 52 0.0 0.0 0.0 7 0.875 1.0 0.9333 63 0.0 0.0 0.0 7 0.7848 0.9029 0.8397 206 0.7636 0.9767 0.8571 43 0.8609 0.8791 0.8699 1654 0.0 0.0 0.0 2 0.8528 0.9653 0.9055 144 0.8718 0.9942 0.9290 171 0.0 0.0 0.0 3 0.7202 0.8314 0.7718 421 0.0 0.0 0.0 49 0.8504 0.9959 0.9174 491 0.0 0.0 0.0 11 0.7998 0.8857 0.8405 0.9825
0.0673 0.56 7500 0.0854 1.0 0.9808 0.9903 52 0.0 0.0 0.0 7 0.8052 0.9841 0.8857 63 0.0 0.0 0.0 7 0.8812 0.8641 0.8725 206 0.8333 0.9302 0.8791 43 0.8483 0.9534 0.8978 1654 0.0 0.0 0.0 2 0.8954 0.9514 0.9226 144 0.8413 0.9298 0.8833 171 0.0 0.0 0.0 3 0.8667 0.9881 0.9234 421 0.3611 0.2653 0.3059 49 0.9173 0.9939 0.9541 491 0.0 0.0 0.0 11 0.8579 0.9389 0.8966 0.9815
0.0633 0.6 8000 0.0844 0.9811 1.0 0.9905 52 0.0 0.0 0.0 7 0.9 1.0 0.9474 63 0.0 0.0 0.0 7 0.7881 0.9029 0.8416 206 0.8367 0.9535 0.8913 43 0.8709 0.9262 0.8977 1654 0.0 0.0 0.0 2 0.6714 0.9931 0.8011 144 0.7887 0.8947 0.8384 171 0.0 0.0 0.0 3 0.8402 0.9620 0.8970 421 0.4 0.2041 0.2703 49 0.9290 0.9857 0.9565 491 0.0 0.0 0.0 11 0.8513 0.9233 0.8858 0.9832
0.0706 0.64 8500 0.1111 0.9038 0.9038 0.9038 52 0.0 0.0 0.0 7 0.8356 0.9683 0.8971 63 0.0 0.0 0.0 7 0.7185 0.9417 0.8151 206 0.8043 0.8605 0.8315 43 0.8367 0.8428 0.8398 1654 0.0 0.0 0.0 2 0.7765 0.9653 0.8607 144 0.7535 0.9474 0.8394 171 0.0 0.0 0.0 3 0.8669 0.9905 0.9246 421 0.0 0.0 0.0 49 0.9223 0.9919 0.9558 491 0.0 0.0 0.0 11 0.8370 0.8839 0.8598 0.9796
0.0953 0.67 9000 0.0780 0.9623 0.9808 0.9714 52 0.0 0.0 0.0 7 0.4145 1.0 0.5860 63 0.0 0.0 0.0 7 0.8265 0.8786 0.8518 206 0.6613 0.9535 0.7810 43 0.8741 0.8815 0.8778 1654 0.0 0.0 0.0 2 0.7722 0.9653 0.8580 144 0.9027 0.9766 0.9382 171 0.0 0.0 0.0 3 0.8156 0.8717 0.8427 421 0.3636 0.9796 0.5304 49 0.9103 0.9919 0.9493 491 0.0263 0.1818 0.0460 11 0.8056 0.9037 0.8518 0.9822
0.0657 0.71 9500 0.0667 1.0 0.9808 0.9903 52 0.0 0.0 0.0 7 0.8056 0.9206 0.8593 63 0.0 0.0 0.0 7 0.8899 0.9417 0.9151 206 0.7818 1.0 0.8776 43 0.9166 0.9504 0.9332 1654 0.0 0.0 0.0 2 0.7977 0.9583 0.8707 144 0.9824 0.9766 0.9795 171 0.0 0.0 0.0 3 0.9022 0.9644 0.9323 421 0.6471 0.8980 0.7521 49 0.8976 0.9817 0.9377 491 0.0667 0.0909 0.0769 11 0.8920 0.9495 0.9198 0.9862
0.0651 0.75 10000 0.0713 0.9423 0.9423 0.9423 52 0.0 0.0 0.0 7 0.9265 1.0 0.9618 63 0.0 0.0 0.0 7 0.9676 0.8689 0.9156 206 0.7222 0.9070 0.8041 43 0.9137 0.9093 0.9115 1654 0.0 0.0 0.0 2 0.9021 0.8958 0.8990 144 0.9714 0.9942 0.9827 171 0.0 0.0 0.0 3 0.8491 0.8955 0.8717 421 0.4352 0.9592 0.5987 49 0.9208 0.9715 0.9455 491 0.0 0.0 0.0 11 0.8913 0.9128 0.9019 0.9847
0.0518 0.79 10500 0.0688 0.9444 0.9808 0.9623 52 0.0 0.0 0.0 7 0.8676 0.9365 0.9008 63 0.0 0.0 0.0 7 0.8861 0.8689 0.8775 206 0.7917 0.8837 0.8352 43 0.9027 0.9087 0.9057 1654 0.0 0.0 0.0 2 0.8824 0.9375 0.9091 144 0.9657 0.9883 0.9769 171 0.0 0.0 0.0 3 0.9161 0.9857 0.9497 421 0.7778 0.7143 0.7447 49 0.9398 0.9857 0.9622 491 0.2593 0.6364 0.3684 11 0.9031 0.9251 0.9140 0.9850
0.0688 0.82 11000 0.0780 0.9545 0.8077 0.875 52 0.0 0.0 0.0 7 1.0 0.8730 0.9322 63 0.0 0.0 0.0 7 0.9238 0.9417 0.9327 206 0.8511 0.9302 0.8889 43 0.9044 0.9033 0.9038 1654 0.0 0.0 0.0 2 0.8405 0.9514 0.8925 144 0.9543 0.9766 0.9653 171 0.0 0.0 0.0 3 0.9204 0.9881 0.9530 421 0.7759 0.9184 0.8411 49 0.9149 0.9857 0.9490 491 0.0 0.0 0.0 11 0.9081 0.9248 0.9164 0.9851
0.0589 0.86 11500 0.0651 0.9038 0.9038 0.9038 52 0.0 0.0 0.0 7 0.9091 0.7937 0.8475 63 0.0 0.0 0.0 7 0.9247 0.8350 0.8776 206 0.74 0.8605 0.7957 43 0.9153 0.8954 0.9053 1654 0.0 0.0 0.0 2 0.8625 0.9583 0.9079 144 0.9713 0.9883 0.9797 171 0.0 0.0 0.0 3 0.9067 0.9929 0.9478 421 0.8246 0.9592 0.8868 49 0.9313 0.9939 0.9616 491 0.0 0.0 0.0 11 0.9131 0.9167 0.9149 0.9865
0.0491 0.9 12000 0.0723 0.9808 0.9808 0.9808 52 0.0 0.0 0.0 7 0.9130 1.0 0.9545 63 0.0 0.0 0.0 7 0.9512 0.9466 0.9489 206 0.8431 1.0 0.9149 43 0.8965 0.9631 0.9286 1654 0.0 0.0 0.0 2 0.9013 0.9514 0.9257 144 0.5704 0.4737 0.5176 171 0.0 0.0 0.0 3 0.8943 0.9644 0.9280 421 0.8125 0.7959 0.8041 49 0.8472 0.9939 0.9147 491 0.1212 0.3636 0.1818 11 0.8710 0.9326 0.9008 0.9843
0.0378 0.94 12500 0.0573 0.9583 0.8846 0.9200 52 0.0 0.0 0.0 7 0.8857 0.9841 0.9323 63 0.0 0.0 0.0 7 0.8772 0.9709 0.9217 206 0.7292 0.8140 0.7692 43 0.8581 0.8918 0.8746 1654 0.0 0.0 0.0 2 0.8734 0.9583 0.9139 144 0.9884 0.9942 0.9913 171 0.0 0.0 0.0 3 0.9071 0.9976 0.9502 421 0.5556 0.5102 0.5319 49 0.9422 0.9959 0.9683 491 0.0 0.0 0.0 11 0.8788 0.9206 0.8992 0.9866
0.0489 0.97 13000 0.0558 0.7727 0.9808 0.8644 52 0.0 0.0 0.0 7 0.9538 0.9841 0.9688 63 0.0 0.0 0.0 7 0.9610 0.9563 0.9586 206 0.6545 0.8372 0.7347 43 0.8100 0.9099 0.8571 1654 0.0 0.0 0.0 2 0.9650 0.9583 0.9617 144 1.0 0.9883 0.9941 171 0.0 0.0 0.0 3 0.9453 0.9857 0.9651 421 0.7679 0.8776 0.8190 49 0.9495 0.9959 0.9722 491 0.0 0.0 0.0 11 0.8695 0.9341 0.9007 0.9873
0.0411 1.01 13500 0.0574 0.8077 0.8077 0.8077 52 0.0 0.0 0.0 7 0.8806 0.9365 0.9077 63 0.0 0.0 0.0 7 0.9510 0.9417 0.9463 206 0.7222 0.9070 0.8041 43 0.8146 0.9456 0.8752 1654 0.0 0.0 0.0 2 0.9262 0.9583 0.9420 144 0.9884 1.0 0.9942 171 0.0 0.0 0.0 3 0.9585 0.9881 0.9731 421 0.8627 0.8980 0.8800 49 0.9089 0.9959 0.9504 491 0.1739 0.7273 0.2807 11 0.8503 0.9519 0.8982 0.9874
0.0419 1.05 14000 0.0535 1.0 1.0 1.0 52 0.0 0.0 0.0 7 0.9254 0.9841 0.9538 63 0.0 0.0 0.0 7 0.9686 0.8981 0.9320 206 0.8723 0.9535 0.9111 43 0.8812 0.9643 0.9209 1654 0.0 0.0 0.0 2 0.9388 0.9583 0.9485 144 0.9942 0.9942 0.9942 171 0.0 0.0 0.0 3 0.9234 0.9739 0.9480 421 0.6866 0.9388 0.7931 49 0.9226 0.9959 0.9579 491 0.0 0.0 0.0 11 0.8955 0.9591 0.9262 0.9878
0.0372 1.09 14500 0.0721 1.0 0.9808 0.9903 52 0.1852 0.7143 0.2941 7 0.9403 1.0 0.9692 63 0.0 0.0 0.0 7 0.8423 0.9854 0.9083 206 0.7143 0.9302 0.8081 43 0.9069 0.9359 0.9212 1654 0.0 0.0 0.0 2 0.8487 0.8958 0.8716 144 0.9883 0.9883 0.9883 171 0.0 0.0 0.0 3 0.8711 0.9952 0.9290 421 0.6765 0.4694 0.5542 49 0.9456 0.9919 0.9682 491 0.0 0.0 0.0 11 0.8907 0.9437 0.9164 0.9851
0.0644 1.12 15000 0.0578 0.7324 1.0 0.8455 52 0.0 0.0 0.0 7 0.9538 0.9841 0.9688 63 0.0 0.0 0.0 7 0.9495 0.9126 0.9307 206 0.7609 0.8140 0.7865 43 0.9321 0.9377 0.9349 1654 0.0 0.0 0.0 2 0.8910 0.9653 0.9267 144 0.9884 0.9942 0.9913 171 0.0 0.0 0.0 3 0.9502 0.9976 0.9733 421 0.8542 0.8367 0.8454 49 0.9276 0.9919 0.9587 491 0.25 0.1818 0.2105 11 0.9202 0.9468 0.9333 0.9880
0.0351 1.16 15500 0.0605 1.0 0.9808 0.9903 52 0.0 0.0 0.0 7 0.9545 1.0 0.9767 63 0.0 0.0 0.0 7 0.9701 0.9466 0.9582 206 0.8163 0.9302 0.8696 43 0.9071 0.9686 0.9368 1654 0.0 0.0 0.0 2 0.8726 0.9514 0.9103 144 0.9826 0.9883 0.9854 171 0.0 0.0 0.0 3 0.9654 0.9952 0.9801 421 0.8980 0.8980 0.8980 49 0.9190 0.9939 0.9550 491 0.5 0.2727 0.3529 11 0.9182 0.9660 0.9415 0.9883
0.05 1.2 16000 0.0536 0.9286 1.0 0.9630 52 0.0 0.0 0.0 7 0.8732 0.9841 0.9254 63 0.0 0.0 0.0 7 0.9302 0.9709 0.9501 206 0.8936 0.9767 0.9333 43 0.9007 0.9649 0.9317 1654 0.0 0.0 0.0 2 0.8805 0.9722 0.9241 144 0.9884 1.0 0.9942 171 0.0 0.0 0.0 3 0.9004 0.9881 0.9422 421 0.6522 0.6122 0.6316 49 0.9421 0.9939 0.9673 491 0.3 0.2727 0.2857 11 0.9052 0.9627 0.9331 0.9875
0.0402 1.24 16500 0.0526 1.0 1.0 1.0 52 0.0 0.0 0.0 7 0.9403 1.0 0.9692 63 0.0 0.0 0.0 7 0.9299 0.9660 0.9476 206 0.8776 1.0 0.9348 43 0.9113 0.9565 0.9333 1654 0.0 0.0 0.0 2 0.9580 0.9514 0.9547 144 0.9883 0.9883 0.9883 171 0.0 0.0 0.0 3 0.9211 0.9976 0.9578 421 0.6512 0.5714 0.6087 49 0.9420 0.9919 0.9663 491 0.4444 0.3636 0.4000 11 0.9176 0.9579 0.9373 0.9880
0.031 1.27 17000 0.0637 0.9811 1.0 0.9905 52 0.0 0.0 0.0 7 0.9692 1.0 0.9844 63 0.4 0.5714 0.4706 7 0.9136 0.9757 0.9437 206 1.0 0.9302 0.9639 43 0.9550 0.8978 0.9255 1654 0.0 0.0 0.0 2 0.9085 0.9653 0.9360 144 1.0 1.0 1.0 171 0.0 0.0 0.0 3 0.9248 0.9929 0.9576 421 0.8462 0.6735 0.75 49 0.9385 0.9939 0.9654 491 0.375 0.2727 0.3158 11 0.9425 0.9317 0.9371 0.9874
0.0512 1.31 17500 0.0574 1.0 1.0 1.0 52 0.0 0.0 0.0 7 0.7101 0.7778 0.7424 63 0.0 0.0 0.0 7 0.9406 0.9223 0.9314 206 0.9091 0.9302 0.9195 43 0.9157 0.9589 0.9368 1654 0.0 0.0 0.0 2 0.8903 0.9583 0.9231 144 0.9661 1.0 0.9828 171 0.0 0.0 0.0 3 0.9233 0.9715 0.9468 421 0.8478 0.7959 0.8211 49 0.9291 0.9878 0.9576 491 0.0 0.0 0.0 11 0.9164 0.9504 0.9331 0.9877
0.0457 1.35 18000 0.0546 1.0 1.0 1.0 52 0.1163 0.7143 0.2 7 0.9545 1.0 0.9767 63 0.0 0.0 0.0 7 0.9412 0.9320 0.9366 206 0.6230 0.8837 0.7308 43 0.9312 0.9250 0.9281 1654 0.0 0.0 0.0 2 0.8589 0.9722 0.9121 144 0.9826 0.9883 0.9854 171 0.0 0.0 0.0 3 0.9352 0.9596 0.9472 421 0.6806 1.0 0.8099 49 0.9476 0.9939 0.9702 491 0.2903 0.8182 0.4286 11 0.9046 0.9443 0.9241 0.9875
0.0612 1.39 18500 0.0551 1.0 1.0 1.0 52 0.4 0.2857 0.3333 7 0.9265 1.0 0.9618 63 0.6 0.4286 0.5 7 0.9 0.9612 0.9296 206 0.8077 0.9767 0.8842 43 0.9315 0.8797 0.9049 1654 0.0 0.0 0.0 2 0.9091 0.9722 0.9396 144 0.8416 0.9942 0.9115 171 0.0 0.0 0.0 3 0.9524 0.9976 0.9745 421 1.0 0.8367 0.9111 49 0.9345 0.9878 0.9604 491 0.0 0.0 0.0 11 0.9236 0.9239 0.9237 0.9871
0.0358 1.42 19000 0.0611 0.8966 1.0 0.9455 52 0.2 0.4286 0.2727 7 0.8630 1.0 0.9265 63 0.375 0.4286 0.4000 7 0.9296 0.8981 0.9136 206 0.7544 1.0 0.86 43 0.8966 0.9541 0.9244 1654 0.0 0.0 0.0 2 0.8415 0.9583 0.8961 144 0.8104 1.0 0.8953 171 0.0 0.0 0.0 3 0.9502 0.9976 0.9733 421 0.8868 0.9592 0.9216 49 0.8504 0.9959 0.9174 491 0.0971 0.9091 0.1754 11 0.8550 0.9633 0.9059 0.9859
0.0499 1.46 19500 0.0554 0.65 1.0 0.7879 52 0.2 0.1429 0.1667 7 0.9545 1.0 0.9767 63 0.4 0.2857 0.3333 7 0.9594 0.9175 0.9380 206 0.7963 1.0 0.8866 43 0.9103 0.9752 0.9416 1654 0.0 0.0 0.0 2 0.8933 0.9306 0.9116 144 0.9771 1.0 0.9884 171 0.0 0.0 0.0 3 0.9566 0.9952 0.9756 421 0.9565 0.8980 0.9263 49 0.9298 0.9715 0.9502 491 0.4211 0.7273 0.5333 11 0.9072 0.9675 0.9364 0.9879
0.0594 1.5 20000 0.0446 0.9630 1.0 0.9811 52 0.5714 0.5714 0.5714 7 0.9403 1.0 0.9692 63 0.6 0.4286 0.5 7 0.9559 0.9466 0.9512 206 0.8235 0.9767 0.8936 43 0.9301 0.9571 0.9434 1654 0.0 0.0 0.0 2 0.8917 0.9722 0.9302 144 0.9607 1.0 0.9799 171 0.0 0.0 0.0 3 0.9438 0.9976 0.9700 421 0.9318 0.8367 0.8817 49 0.9225 0.9939 0.9569 491 0.375 0.5455 0.4444 11 0.9245 0.9651 0.9444 0.9896
0.0369 1.54 20500 0.0543 0.9630 1.0 0.9811 52 0.375 0.8571 0.5217 7 0.9265 1.0 0.9618 63 0.3125 0.7143 0.4348 7 0.9381 0.9563 0.9471 206 0.7547 0.9302 0.8333 43 0.9311 0.9317 0.9314 1654 0.0 0.0 0.0 2 0.92 0.9583 0.9388 144 0.9140 0.9942 0.9524 171 0.0 0.0 0.0 3 0.9531 0.9644 0.9587 421 0.7377 0.9184 0.8182 49 0.8720 0.9715 0.9191 491 0.3182 0.6364 0.4242 11 0.9069 0.9468 0.9264 0.9880
0.0406 1.57 21000 0.0466 0.9623 0.9808 0.9714 52 0.7143 0.7143 0.7143 7 0.9265 1.0 0.9618 63 1.0 1.0 1.0 7 0.9641 0.9126 0.9377 206 0.9767 0.9767 0.9767 43 0.9451 0.9166 0.9306 1654 0.0 0.0 0.0 2 0.9384 0.9514 0.9448 144 0.9884 1.0 0.9942 171 0.0 0.0 0.0 3 0.9722 0.9976 0.9848 421 0.9388 0.9388 0.9388 49 0.9137 0.9919 0.9512 491 0.2368 0.8182 0.3673 11 0.9365 0.9452 0.9409 0.9889
0.0435 1.61 21500 0.0581 1.0 1.0 1.0 52 0.25 0.8571 0.3871 7 0.9254 0.9841 0.9538 63 0.7 1.0 0.8235 7 0.9561 0.9515 0.9538 206 0.8723 0.9535 0.9111 43 0.9249 0.9758 0.9497 1654 0.0 0.0 0.0 2 0.9195 0.9514 0.9352 144 0.9704 0.9591 0.9647 171 0.0 0.0 0.0 3 0.9660 0.9454 0.9556 421 0.6203 1.0 0.7656 49 0.9192 0.9959 0.9560 491 0.5 0.7273 0.5926 11 0.9167 0.9696 0.9424 0.9885
0.0346 1.65 22000 0.0497 0.9630 1.0 0.9811 52 0.0 0.0 0.0 7 0.9545 1.0 0.9767 63 0.5 0.2857 0.3636 7 0.9124 0.9612 0.9362 206 0.8367 0.9535 0.8913 43 0.9353 0.9353 0.9353 1654 0.0 0.0 0.0 2 0.8917 0.9722 0.9302 144 0.8374 0.9942 0.9091 171 0.2143 1.0 0.3529 3 0.9545 0.9976 0.9756 421 0.9167 0.8980 0.9072 49 0.9279 0.9959 0.9607 491 0.1 0.1818 0.1290 11 0.9183 0.9540 0.9358 0.9890
0.042 1.69 22500 0.0528 0.9808 0.9808 0.9808 52 0.0 0.0 0.0 7 0.9538 0.9841 0.9688 63 0.5 0.1429 0.2222 7 0.9426 0.9563 0.9494 206 0.875 0.9767 0.9231 43 0.9495 0.9661 0.9577 1654 0.0 0.0 0.0 2 0.92 0.9583 0.9388 144 1.0 1.0 1.0 171 0.0 0.0 0.0 3 0.9484 0.9596 0.9540 421 0.6622 1.0 0.7967 49 0.9422 0.9959 0.9683 491 0.5 0.8182 0.6207 11 0.9378 0.9660 0.9517 0.9895
0.0294 1.72 23000 0.0771 1.0 1.0 1.0 52 0.2143 0.4286 0.2857 7 0.9167 0.8730 0.8943 63 0.75 0.8571 0.8000 7 0.9296 0.9612 0.9451 206 0.9556 1.0 0.9773 43 0.9322 0.9305 0.9313 1654 0.0 0.0 0.0 2 0.8910 0.9653 0.9267 144 0.9293 1.0 0.9634 171 0.2308 1.0 0.375 3 0.8898 0.9976 0.9406 421 0.7368 0.2857 0.4118 49 0.9052 0.9919 0.9466 491 0.6 0.5455 0.5714 11 0.9130 0.9434 0.9279 0.9857
0.0234 1.76 23500 0.0511 1.0 0.9808 0.9903 52 0.0 0.0 0.0 7 0.8871 0.8730 0.88 63 1.0 1.0 1.0 7 0.9259 0.9709 0.9479 206 0.9556 1.0 0.9773 43 0.9414 0.9426 0.9420 1654 0.0 0.0 0.0 2 0.9007 0.9444 0.9220 144 0.8989 0.9357 0.9169 171 0.6667 0.6667 0.6667 3 0.9418 1.0 0.9700 421 0.8776 0.8776 0.8776 49 0.9206 0.9919 0.9549 491 0.5833 0.6364 0.6087 11 0.9291 0.9540 0.9414 0.9876
0.0389 1.8 24000 0.0436 0.9630 1.0 0.9811 52 0.3077 0.5714 0.4 7 0.8841 0.9683 0.9242 63 0.875 1.0 0.9333 7 0.9479 0.9709 0.9592 206 0.8958 1.0 0.9451 43 0.9468 0.9462 0.9465 1654 0.0 0.0 0.0 2 0.9320 0.9514 0.9416 144 0.9716 1.0 0.9856 171 0.2 0.6667 0.3077 3 0.9700 1.0 0.9848 421 1.0 1.0 1.0 49 0.9314 0.9959 0.9626 491 0.4286 0.8182 0.5625 11 0.9391 0.9657 0.9522 0.9904
0.0264 1.84 24500 0.0412 0.9811 1.0 0.9905 52 0.6 0.8571 0.7059 7 0.9118 0.9841 0.9466 63 1.0 1.0 1.0 7 0.9390 0.9709 0.9547 206 0.9556 1.0 0.9773 43 0.9551 0.9389 0.9470 1654 0.0 0.0 0.0 2 0.9 1.0 0.9474 144 0.9828 1.0 0.9913 171 0.6 1.0 0.7500 3 0.9678 1.0 0.9836 421 1.0 1.0 1.0 49 0.9089 0.9959 0.9504 491 0.4706 0.7273 0.5714 11 0.9435 0.9651 0.9542 0.9906
0.0228 1.87 25000 0.0462 0.9630 1.0 0.9811 52 0.2333 1.0 0.3784 7 0.9692 1.0 0.9844 63 1.0 1.0 1.0 7 0.9484 0.9806 0.9642 206 0.9130 0.9767 0.9438 43 0.9571 0.9722 0.9646 1654 0.0 0.0 0.0 2 0.8634 0.9653 0.9115 144 0.9942 1.0 0.9971 171 0.6 1.0 0.7500 3 0.9482 1.0 0.9734 421 0.8333 0.8163 0.8247 49 0.9245 0.9980 0.9598 491 0.5 0.8182 0.6207 11 0.9369 0.9789 0.9575 0.9904
0.0294 1.91 25500 0.0445 0.9811 1.0 0.9905 52 0.2273 0.7143 0.3448 7 0.9403 1.0 0.9692 63 1.0 1.0 1.0 7 0.9140 0.9806 0.9461 206 0.8936 0.9767 0.9333 43 0.9448 0.9722 0.9583 1654 0.0 0.0 0.0 2 0.8434 0.9722 0.9032 144 0.9942 1.0 0.9971 171 0.2 0.3333 0.25 3 0.9335 1.0 0.9656 421 0.9318 0.8367 0.8817 49 0.9089 0.9959 0.9504 491 1.0 0.5455 0.7059 11 0.9277 0.9771 0.9518 0.9905
0.0327 1.95 26000 0.0413 0.9630 1.0 0.9811 52 0.6 0.8571 0.7059 7 0.9403 1.0 0.9692 63 1.0 1.0 1.0 7 0.9259 0.9709 0.9479 206 0.9130 0.9767 0.9438 43 0.9391 0.9595 0.9492 1654 0.0 0.0 0.0 2 0.8726 0.9514 0.9103 144 0.95 1.0 0.9744 171 0.3333 1.0 0.5 3 0.9700 0.9976 0.9836 421 1.0 0.9184 0.9574 49 0.9314 0.9959 0.9626 491 0.375 0.2727 0.3158 11 0.9356 0.9702 0.9526 0.9904
0.0337 1.99 26500 0.0399 1.0 1.0 1.0 52 0.4615 0.8571 0.6 7 0.9403 1.0 0.9692 63 0.7778 1.0 0.8750 7 0.9484 0.9806 0.9642 206 0.9556 1.0 0.9773 43 0.9601 0.9607 0.9604 1654 0.0 0.0 0.0 2 0.9139 0.9583 0.9356 144 0.9828 1.0 0.9913 171 0.4286 1.0 0.6 3 0.9745 1.0 0.9871 421 0.9583 0.9388 0.9485 49 0.9140 0.9959 0.9532 491 0.6667 0.5455 0.6 11 0.9490 0.9735 0.9611 0.9915
0.0217 2.02 27000 0.0381 0.9811 1.0 0.9905 52 0.75 0.8571 0.8000 7 0.9265 1.0 0.9618 63 1.0 1.0 1.0 7 0.9528 0.9806 0.9665 206 0.8958 1.0 0.9451 43 0.9617 0.9710 0.9663 1654 0.0 0.0 0.0 2 0.8589 0.9722 0.9121 144 0.9884 1.0 0.9942 171 0.5 1.0 0.6667 3 0.9745 1.0 0.9871 421 1.0 0.9796 0.9897 49 0.9140 0.9959 0.9532 491 0.3333 0.7273 0.4571 11 0.9455 0.9804 0.9626 0.9912
0.025 2.06 27500 0.0406 1.0 1.0 1.0 52 0.6 0.4286 0.5 7 0.6875 0.6984 0.6929 63 1.0 1.0 1.0 7 0.9136 0.9757 0.9437 206 0.9556 1.0 0.9773 43 0.9628 0.9547 0.9587 1654 0.0 0.0 0.0 2 0.9396 0.9722 0.9556 144 1.0 1.0 1.0 171 0.4286 1.0 0.6 3 0.9722 0.9976 0.9848 421 1.0 0.9592 0.9792 49 0.9208 0.9939 0.9559 491 0.5455 0.5455 0.5455 11 0.9474 0.9639 0.9556 0.9910
0.0204 2.1 28000 0.0377 0.9811 1.0 0.9905 52 0.4286 0.8571 0.5714 7 0.8873 1.0 0.9403 63 0.7 1.0 0.8235 7 0.9710 0.9757 0.9734 206 0.8936 0.9767 0.9333 43 0.9504 0.9504 0.9504 1654 0.0 0.0 0.0 2 0.9257 0.9514 0.9384 144 0.9605 0.9942 0.9770 171 0.2222 0.6667 0.3333 3 0.9722 0.9952 0.9836 421 1.0 0.9184 0.9574 49 0.9422 0.9959 0.9683 491 0.6667 0.5455 0.6 11 0.9455 0.9660 0.9557 0.9924
0.0209 2.14 28500 0.0393 1.0 1.0 1.0 52 0.6667 0.2857 0.4 7 0.9692 1.0 0.9844 63 0.6667 0.8571 0.75 7 0.9754 0.9612 0.9682 206 0.9756 0.9302 0.9524 43 0.9511 0.9770 0.9639 1654 0.0 0.0 0.0 2 0.9262 0.9583 0.9420 144 0.9884 1.0 0.9942 171 0.6 1.0 0.7500 3 0.9676 0.9929 0.9801 421 0.9787 0.9388 0.9583 49 0.9404 0.9959 0.9674 491 0.6667 0.5455 0.6 11 0.9533 0.9771 0.9651 0.9922
0.0351 2.17 29000 0.0360 0.9811 1.0 0.9905 52 0.2857 0.2857 0.2857 7 0.9692 1.0 0.9844 63 0.5 0.7143 0.5882 7 0.9621 0.9854 0.9736 206 0.9111 0.9535 0.9318 43 0.9499 0.9740 0.9618 1654 0.0 0.0 0.0 2 0.9026 0.9653 0.9329 144 0.9716 1.0 0.9856 171 0.6 1.0 0.7500 3 0.9722 0.9976 0.9848 421 0.9388 0.9388 0.9388 49 0.9459 0.9980 0.9713 491 0.6923 0.8182 0.7500 11 0.9479 0.9792 0.9633 0.9917
0.0231 2.21 29500 0.0432 1.0 1.0 1.0 52 0.3333 1.0 0.5 7 0.9265 1.0 0.9618 63 0.6 0.8571 0.7059 7 0.9528 0.9806 0.9665 206 0.8723 0.9535 0.9111 43 0.9582 0.9704 0.9643 1654 0.0 0.0 0.0 2 0.9026 0.9653 0.9329 144 0.9771 1.0 0.9884 171 0.0 0.0 0.0 3 0.9589 0.9976 0.9779 421 0.875 1.0 0.9333 49 0.9441 0.9980 0.9703 491 0.5833 0.6364 0.6087 11 0.9426 0.9783 0.9601 0.9913
0.0241 2.25 30000 0.0358 0.9811 1.0 0.9905 52 0.6364 1.0 0.7778 7 0.9692 1.0 0.9844 63 0.75 0.8571 0.8000 7 0.9528 0.9806 0.9665 206 0.9535 0.9535 0.9535 43 0.9582 0.9704 0.9643 1654 0.0 0.0 0.0 2 0.9205 0.9653 0.9424 144 0.9884 1.0 0.9942 171 0.6 1.0 0.7500 3 0.9722 0.9976 0.9848 421 1.0 1.0 1.0 49 0.9477 0.9959 0.9712 491 1.0 0.5455 0.7059 11 0.9570 0.9786 0.9677 0.9918
0.0259 2.29 30500 0.0381 1.0 1.0 1.0 52 0.5 1.0 0.6667 7 0.9545 1.0 0.9767 63 0.75 0.8571 0.8000 7 0.9612 0.9612 0.9612 206 0.8163 0.9302 0.8696 43 0.9492 0.9595 0.9543 1654 0.0 0.0 0.0 2 0.9517 0.9583 0.9550 144 0.9828 1.0 0.9913 171 0.3333 1.0 0.5 3 0.9654 0.9952 0.9801 421 0.9167 0.8980 0.9072 49 0.9404 0.9959 0.9674 491 1.0 0.5455 0.7059 11 0.9471 0.9696 0.9582 0.9923
0.0227 2.32 31000 0.0365 1.0 1.0 1.0 52 0.875 1.0 0.9333 7 0.9545 1.0 0.9767 63 1.0 1.0 1.0 7 0.9659 0.9612 0.9635 206 0.9318 0.9535 0.9425 43 0.9518 0.9794 0.9654 1654 0.0 0.0 0.0 2 0.9718 0.9583 0.9650 144 0.9942 1.0 0.9971 171 0.6 1.0 0.7500 3 0.9654 0.9929 0.9789 421 0.9592 0.9592 0.9592 49 0.9441 0.9980 0.9703 491 0.4615 0.5455 0.5000 11 0.9543 0.9810 0.9675 0.9924
0.0251 2.36 31500 0.0380 1.0 0.9808 0.9903 52 0.5455 0.8571 0.6667 7 0.9545 1.0 0.9767 63 0.7778 1.0 0.8750 7 0.9573 0.9806 0.9688 206 0.875 0.9767 0.9231 43 0.9457 0.9692 0.9573 1654 0.0 0.0 0.0 2 0.92 0.9583 0.9388 144 0.9942 1.0 0.9971 171 0.3 1.0 0.4615 3 0.9655 0.9976 0.9813 421 0.96 0.9796 0.9697 49 0.9458 0.9959 0.9702 491 0.3 0.8182 0.4390 11 0.9412 0.9783 0.9594 0.9916
0.0307 2.4 32000 0.0402 1.0 1.0 1.0 52 0.6 0.8571 0.7059 7 0.9688 0.9841 0.9764 63 0.7778 1.0 0.8750 7 0.9712 0.9806 0.9758 206 0.9762 0.9535 0.9647 43 0.9715 0.9686 0.9700 1654 0.0 0.0 0.0 2 0.9456 0.9653 0.9553 144 1.0 1.0 1.0 171 0.3333 1.0 0.5 3 0.9417 0.9976 0.9689 421 0.9767 0.8571 0.9130 49 0.9477 0.9959 0.9712 491 0.6923 0.8182 0.7500 11 0.9603 0.9762 0.9682 0.9926
0.0233 2.44 32500 0.0361 1.0 1.0 1.0 52 0.8 0.5714 0.6667 7 0.9688 0.9841 0.9764 63 1.0 1.0 1.0 7 0.9756 0.9709 0.9732 206 0.9762 0.9535 0.9647 43 0.9720 0.9655 0.9688 1654 0.0 0.0 0.0 2 0.9392 0.9653 0.9521 144 0.9941 0.9825 0.9882 171 0.6 1.0 0.7500 3 0.9813 0.9976 0.9894 421 1.0 1.0 1.0 49 0.9477 0.9959 0.9712 491 0.8182 0.8182 0.8182 11 0.9689 0.9747 0.9718 0.9922
0.0259 2.47 33000 0.0391 1.0 1.0 1.0 52 0.8 0.5714 0.6667 7 0.9545 1.0 0.9767 63 1.0 1.0 1.0 7 0.9659 0.9612 0.9635 206 0.9762 0.9535 0.9647 43 0.9693 0.9734 0.9713 1654 0.0 0.0 0.0 2 0.9720 0.9653 0.9686 144 0.9828 1.0 0.9913 171 0.6 1.0 0.7500 3 0.9790 0.9976 0.9882 421 1.0 1.0 1.0 49 0.9478 0.9980 0.9722 491 0.8 0.7273 0.7619 11 0.9673 0.9792 0.9732 0.9920
0.0219 2.51 33500 0.0416 0.9811 1.0 0.9905 52 0.8571 0.8571 0.8571 7 0.9265 1.0 0.9618 63 1.0 1.0 1.0 7 0.9617 0.9757 0.9687 206 0.9535 0.9535 0.9535 43 0.9712 0.9577 0.9644 1654 0.0 0.0 0.0 2 0.9720 0.9653 0.9686 144 1.0 1.0 1.0 171 0.6 1.0 0.7500 3 0.9567 0.9976 0.9767 421 1.0 0.8367 0.9111 49 0.9440 0.9959 0.9693 491 0.6429 0.8182 0.7200 11 0.9633 0.9705 0.9669 0.9924
0.0137 2.55 34000 0.0340 0.9630 1.0 0.9811 52 0.3529 0.8571 0.5 7 0.9545 1.0 0.9767 63 0.875 1.0 0.9333 7 0.9437 0.9757 0.9594 206 0.9348 1.0 0.9663 43 0.9529 0.9788 0.9657 1654 0.0 0.0 0.0 2 0.9267 0.9653 0.9456 144 0.9828 1.0 0.9913 171 0.25 1.0 0.4 3 0.9745 0.9976 0.9859 421 1.0 1.0 1.0 49 0.9192 0.9959 0.9560 491 0.75 0.8182 0.7826 11 0.9427 0.9841 0.9629 0.9932
0.0151 2.59 34500 0.0347 1.0 1.0 1.0 52 0.5556 0.7143 0.6250 7 0.9692 1.0 0.9844 63 1.0 1.0 1.0 7 0.9571 0.9757 0.9663 206 0.9545 0.9767 0.9655 43 0.9644 0.9674 0.9659 1654 0.0 0.0 0.0 2 0.9211 0.9722 0.9459 144 1.0 1.0 1.0 171 0.3333 1.0 0.5 3 0.9502 0.9976 0.9733 421 0.8980 0.8980 0.8980 49 0.9476 0.9939 0.9702 491 0.9 0.8182 0.8571 11 0.9550 0.9762 0.9655 0.9929
0.0159 2.62 35000 0.0348 1.0 1.0 1.0 52 0.4375 1.0 0.6087 7 0.9403 1.0 0.9692 63 0.7778 1.0 0.8750 7 0.9615 0.9709 0.9662 206 0.9773 1.0 0.9885 43 0.9683 0.9794 0.9739 1654 0.0 0.0 0.0 2 0.9396 0.9722 0.9556 144 1.0 1.0 1.0 171 0.6 1.0 0.7500 3 0.9768 1.0 0.9883 421 1.0 1.0 1.0 49 0.9457 0.9939 0.9692 491 0.6 0.8182 0.6923 11 0.9612 0.9847 0.9728 0.9931
0.0272 2.66 35500 0.0388 1.0 1.0 1.0 52 0.8333 0.7143 0.7692 7 0.9403 1.0 0.9692 63 1.0 1.0 1.0 7 0.9437 0.9757 0.9594 206 0.9535 0.9535 0.9535 43 0.9721 0.9698 0.9709 1654 0.0 0.0 0.0 2 0.9267 0.9653 0.9456 144 1.0 1.0 1.0 171 0.6 1.0 0.7500 3 0.9677 0.9952 0.9813 421 1.0 0.8980 0.9462 49 0.9495 0.9959 0.9722 491 0.9 0.8182 0.8571 11 0.9646 0.9768 0.9707 0.9927
0.0196 2.7 36000 0.0376 1.0 1.0 1.0 52 0.7 1.0 0.8235 7 1.0 0.9683 0.9839 63 1.0 1.0 1.0 7 0.9479 0.9709 0.9592 206 0.9333 0.9767 0.9545 43 0.9728 0.9516 0.9621 1654 0.0 0.0 0.0 2 0.9333 0.9722 0.9524 144 1.0 1.0 1.0 171 0.3333 1.0 0.5 3 0.9612 1.0 0.9802 421 0.9362 0.8980 0.9167 49 0.9275 0.9898 0.9576 491 0.9 0.8182 0.8571 11 0.9583 0.9678 0.9630 0.9928
0.0281 2.74 36500 0.0334 1.0 1.0 1.0 52 0.5833 1.0 0.7368 7 0.9538 0.9841 0.9688 63 1.0 1.0 1.0 7 0.9665 0.9806 0.9735 206 0.9130 0.9767 0.9438 43 0.9776 0.9782 0.9779 1654 0.0 0.0 0.0 2 0.8981 0.9792 0.9369 144 1.0 1.0 1.0 171 0.375 1.0 0.5455 3 0.9768 1.0 0.9883 421 1.0 1.0 1.0 49 0.9419 0.9898 0.9652 491 0.9 0.8182 0.8571 11 0.9643 0.9838 0.9739 0.9936
0.0111 2.77 37000 0.0338 1.0 1.0 1.0 52 0.6364 1.0 0.7778 7 0.9692 1.0 0.9844 63 1.0 1.0 1.0 7 0.9526 0.9757 0.9640 206 0.9535 0.9535 0.9535 43 0.9751 0.9710 0.9730 1654 0.0 0.0 0.0 2 0.94 0.9792 0.9592 144 1.0 1.0 1.0 171 0.375 1.0 0.5455 3 0.9768 1.0 0.9883 421 1.0 1.0 1.0 49 0.9438 0.9919 0.9672 491 0.9 0.8182 0.8571 11 0.9656 0.9801 0.9728 0.9936
0.0284 2.81 37500 0.0323 1.0 1.0 1.0 52 0.5 1.0 0.6667 7 0.9545 1.0 0.9767 63 1.0 1.0 1.0 7 0.9712 0.9806 0.9758 206 0.9333 0.9767 0.9545 43 0.9740 0.9752 0.9746 1654 0.0 0.0 0.0 2 0.9342 0.9861 0.9595 144 1.0 1.0 1.0 171 0.6 1.0 0.7500 3 0.9767 0.9976 0.9871 421 0.98 1.0 0.9899 49 0.9494 0.9939 0.9711 491 0.9 0.8182 0.8571 11 0.9669 0.9832 0.9749 0.9935
0.0365 2.85 38000 0.0307 1.0 1.0 1.0 52 0.6364 1.0 0.7778 7 0.9692 1.0 0.9844 63 1.0 1.0 1.0 7 0.9713 0.9854 0.9783 206 0.9333 0.9767 0.9545 43 0.9752 0.9752 0.9752 1654 0.0 0.0 0.0 2 0.9524 0.9722 0.9622 144 1.0 1.0 1.0 171 0.3333 1.0 0.5 3 0.9722 0.9976 0.9848 421 0.9423 1.0 0.9703 49 0.9402 0.9919 0.9653 491 0.9 0.8182 0.8571 11 0.9646 0.9826 0.9735 0.9936
0.0224 2.89 38500 0.0301 1.0 1.0 1.0 52 0.6364 1.0 0.7778 7 0.9545 1.0 0.9767 63 1.0 1.0 1.0 7 0.9760 0.9854 0.9807 206 0.9130 0.9767 0.9438 43 0.9782 0.9776 0.9779 1654 0.0 0.0 0.0 2 0.9459 0.9722 0.9589 144 1.0 1.0 1.0 171 0.5 1.0 0.6667 3 0.9768 1.0 0.9883 421 1.0 1.0 1.0 49 0.9420 0.9919 0.9663 491 0.9 0.8182 0.8571 11 0.9689 0.9841 0.9764 0.9939
0.0239 2.92 39000 0.0301 1.0 1.0 1.0 52 0.6364 1.0 0.7778 7 0.9545 1.0 0.9767 63 1.0 1.0 1.0 7 0.9760 0.9854 0.9807 206 0.9545 0.9767 0.9655 43 0.9717 0.9752 0.9734 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 0.9745 0.9976 0.9859 421 0.98 1.0 0.9899 49 0.9514 0.9959 0.9731 491 0.9 0.8182 0.8571 11 0.9672 0.9832 0.9751 0.9939
0.0171 2.96 39500 0.0304 1.0 1.0 1.0 52 0.6364 1.0 0.7778 7 0.9403 1.0 0.9692 63 1.0 1.0 1.0 7 0.9760 0.9854 0.9807 206 0.9333 0.9767 0.9545 43 0.9765 0.9782 0.9773 1654 0.0 0.0 0.0 2 0.9211 0.9722 0.9459 144 1.0 1.0 1.0 171 0.6 1.0 0.7500 3 0.9768 1.0 0.9883 421 1.0 1.0 1.0 49 0.9514 0.9959 0.9731 491 0.9 0.8182 0.8571 11 0.9689 0.9850 0.9769 0.9940
0.0107 3.0 40000 0.0308 1.0 1.0 1.0 52 0.3889 1.0 0.56 7 0.9403 1.0 0.9692 63 1.0 1.0 1.0 7 0.9713 0.9854 0.9783 206 0.9130 0.9767 0.9438 43 0.9741 0.9794 0.9768 1654 0.0 0.0 0.0 2 0.9272 0.9722 0.9492 144 1.0 1.0 1.0 171 0.6 1.0 0.7500 3 0.9768 1.0 0.9883 421 1.0 1.0 1.0 49 0.9514 0.9959 0.9731 491 0.9 0.8182 0.8571 11 0.9655 0.9856 0.9754 0.9940

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-deberta

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